Animal Welfare
1 Impact of Captive Bolt Placement on Tissue Dimensions of Heads from Bos Taurus Beef Cows Older Than 30 Months of Age
Allison L. Matzek1,*, Ruth Woiwode2,3, Emma M. Hamilton2, Ashlynn A. Kirk2, Maryn J. Cowell2,4, Perle E. Zhitnitskiy2, Kurt D. Vogel2, and Karly N. Anderson2, 1University of Nebraska–Lincoln, Lincoln, NE 68588, USA, 2University of Wisconsin - River Falls, River Falls, WI 54022, USA, 3Colorado State University, Fort Collins, CO 80523, USA, 4University of Minnesota, St. Paul, MN 55455, USA *allison.matzek@my.uwrf.edu
Introduction/Objectives: All conventionally slaughtered animals must be rendered insensible with a single stun prior to the commencement of slaughter procedures to comply with US federal regulations and to uphold the welfare of animals by preventing pain and distress. Penetrating captive bolt (PCB) is an approved method of euthanasia and preslaughter stunning for beef cows. Industry guidelines currently include multiple recommended PCB placements with limited scientific evaluation. The objectives of this study were to determine tissue depth, location of the PCB placement in relation to anatomical features, and potential for brain contact at the FRONTAL (intersection of 2 lines from the lateral canthus to the opposite poll), IDEAL (placement determined based on the location of the thalamus), and POLL (just below the external occipital protuberance at the midline, directed toward the central incisors) placements for mature beef cows.
Materials and Methods: Cadaver heads were obtained from 21 Bos taurus beef cows older than 30 mo of age stunned with a pneumatic PCB at a frontal placement. The heads were chilled before data collection. External head measurements (nose to placement [mm], placement to poll [mm], eyes to placement [mm], and placement to FRONTAL [mm]) were obtained with a digital caliper before a Jarvis 0.25R Super Heavy Duty PCB with 6GR cartridges was applied at the POLL. No additional shots at the FRONTAL placement were applied. Following the PCB application, heads were split at the midline, and tissue depth was measured at the FRONTAL and POLL placements with a digital caliper. Images of each head were obtained to determine an IDEAL placement that would consistently target the thalamus. Tissue depths at the IDEAL placement were measured using the images taken of each head. Mean separation was determined via Student t-tests with the Bonferroni–Holm adjustment. Upper reference limits (URL) were determined for tissue depths to estimate the bolt length required to reach the brain and thalamus for the majority of beef cows older than 30 mo of age.
Results: All results are reported as mean plus or minus SD. URL are also reported for tissue depths. Total tissue thickness was greatest (P < .0315) at the POLL placement (34.62 ± 1.23 mm; URL: 42.63 mm) followed by the IDEAL (28.74 ± 1.50 mm; URL: 46.00 mm) and FRONTAL (23.60 ± 1.23 mm; URL: 35.42 mm) placements. The depth to thalamus was measured at the IDEAL and POLL placements. The thalamic depth was greater (P = .0100) at the POLL (97.40 ± 2.37 mm; URL: 119.31 mm) than the IDEAL (88.10 ± 2.37 mm; URL: 101.59 mm) placement. External head measurements were reported for the FRONTAL and IDEAL placements to compare their location relative to anatomical landmarks. There was no evidence to support a difference (P = .6118) between the distance from eyes to placement between the FRONTAL (9.67 ± 0.35 mm) and IDEAL (7.61 ± 0.30 mm) placements. The nose to placement distance was greater (P < .0001) at the FRONTAL placement (43.76 ± 0.46 mm) than the IDEAL placement (27.33 ± 0.54 mm), and the distance from poll to placement was greater (P < 0.0001) at the IDEAL placement (25.13 ± 0.43 mm) than the FRONTAL placement (9.67 ± 0.35 mm). The IDEAL placement is located 0.18 plus or minus 0.22 mm on average below the FRONTAL placement but did not significantly differ (P = .5333) in location from the FRONTAL placement.
Conclusion: These data suggest that a shot placed slightly below the recommended FRONTAL placement may be a possibility for PCB use for euthanasia and preslaughter stunning in beef cows older than 30 mo of age. The FRONTAL placement is acceptable to use for preslaughter stunning and euthanasia in beef cows and was not located in a different location than the IDEAL placement used in this study. Additionally, the POLL placement could be an alternative placement to use for beef cows and requires further investigation.
Funding Source: This work was supported by the Agriculture and Food Research Initiative competitive award no. 2022-67016-36344 from the US Department of Agriculture’s National Institute of Food and Agriculture.
Keywords: cattle, captive bolt, stunning, welfare.
2 Relationship of Tissue Dimensions and Stun Placement on Cadaver Heads From 2-to-3-Year-Old Male Bison (Bison Bison)
Allison L. Matzek1,*, Emma M. Hamilton1, Ashlynn A. Kirk1, Denise L. Perry1,2, Kurt D. Vogel1, and Karly N. Anderson1, 1University of Wisconsin - River Falls, River Falls, WI 54022, USA, 2Single Shot Consulting, LLC, Hampton, MN, USA *allison.matzek@my.uwrf.edu
Introduction/Objectives: The bison industry in the United States has been growing rapidly. In 2023, over 75,000 bison were commercially slaughtered, but stunning methods for bison did not appear to be scientifically evaluated at the time of our study. Our primary objective was to evaluate tissue thicknesses at the FRONTAL (2.5 cm above a line connecting the bottom of the horns) and POLL (below the crest of the head at the midline and angled toward the ventral aspect of the nose) placements in bison. Our secondary objectives were to assess potential for bolt-thalamus contact, determine an optimal stunning placement based on thalamic location, and determine the relationship between external head characteristics and tissue depths.
Materials and Methods: Fifteen cadaver heads from 2-to-3-y-old bulls (hot-carcass weight: 300.50 ± 27.42 kg; mean ± SD) with hide-on were obtained from a commercial slaughter establishment after being stunned with a 0.410-bore shotgun at a frontal location. All heads were shaved, and external head features were measured. A 0.25R-caliber Jarvis free-flight penetrating captive bolt (PCB) was applied at the POLL placement. No PCB placements were made at the FRONTAL placement. Heads were split at the midline, and soft tissue and cranial thicknesses were measured with a digital caliper. Tissue depth measurements were taken from shaved heads and therefore did not account for the amount of hair the bolt would need to travel through. Digital images were obtained of the split head to evaluate brain and thalamic contact plane. From these images, an IDEAL (placement determined based on the location of the thalamus) placement was determined to ensure bolt-thalamic contact.
Results: The IDEAL placement was in a significantly different (P < .001) location than the FRONTAL placement and was located 8.33 cm plus or minus 0.36 cm above the base of the horns at the midline with the shot placed perpendicular to the surface of the head. The bolt path was in the plane of the brain for the FRONTAL and POLL placements for 15 of 15 heads (100.0%; 95% CI, 78.2% to 100.0%), and for the IDEAL placement, in the plane of the brain for 14 of 14 heads (100.0%; 95% CI, 76.8% to 100.0%). Because the IDEAL placement was determined based on the location of the thalamus, the thalamus had to be completely visible to assign an IDEAL placement, and for 1 of the heads it was not possible to determine an IDEAL placement. For the IDEAL placement, the bolt path was in the plane of the thalamus for 14 out of 14 heads (100.00%; 95% CI, 76.8% to 100.0%), while only in the plane of the thalamus at the FRONTAL placement for 11 out of 14 heads (78.57%; 95% CI, 49.2% to 95.3%), and at the POLL placement for 10 out of 14 heads (71.43%; 95% CI, 42.0% to 91.6%). Total tissue thickness was significantly greater (P < .0008) at the FRONTAL placement (75.00 ± 1.84 mm; URL: 89.31 mm) than the IDEAL (60.92 ± 1.90 mm; URL: 70.64 mm) and POLL (64.60 ± 1.84 mm; URL: 85.52 mm) placements. There was no evidence to support a difference (P = .5166) in total tissue thicknesses between the IDEAL and POLL placements. Thalamic depth at the IDEAL placement was 115.27 mm plus or minus 8.36 mm (URL: 133.96 mm).
Conclusion: This study quantified tissue thicknesses of 2-to-3-y-old male bison at the FRONTAL and POLL placements. Quantifying tissue thicknesses in bison at different shot placements helps to compare the placements and ensure that all bison are successfully rendered insensible with a single stun. Understanding the total tissue thicknesses and thalamic depth for bison also allows for the selection and manufacture of suitable PCB for stunning. The IDEAL placement was found to be the most direct path to the thalamus with the least tissue thickness and requires a minimum bolt penetration depth of 133.96 mm for 2-to-3-y-old male bison to maximize the potential for bolt-thalamic contact. It is likely that an intact hair coat will require greater penetration depth to make direct bolt contact with the thalamus. Future studies should evaluate the efficacy of the IDEAL placement in live bison and assess the PCB length required to successfully stun at this placement.
Funding Source: This research was funded by the University of Wisconsin - River Falls’s Falcon Scholars Program and Humane Handling Institute.
Keywords: bison, captive bolt, stunning welfare.
3 Relationship Between Captive Bolt Placement, Tissue Parameters, and Potential for Thalamic Contact in Cadaver Heads From 4-to-20 Year-Old Bison Cows (Bison Bison)
Kendrick R. Otto1,*, Emma M. Hamilton1,2, Ashlynn A. Kirk1, Charles Bildstein3, Kurt D. Vogel1, and Karly N. Anderson1, 1University of Wisconsin - River Falls, River Falls, WI 54022, USA, 2Colorado State University, Fort Collins, CO 80523, USA, 3Bunzl Processor Division, Riverside, MO 64150, USA *kendrick.otto@my.uwrf.edu
Introduction/Objectives: The National Bison Association reported that approximately 75,000 bison were harvested under federal inspection in 2023. Bison are most often stunned with a firearm, which imposes risk because a firearm produces a flying object that may miss the target and result in a failed stun, strike bystanders, or introduce physical hazards to the muscles of the neck and chuck. Penetrating captive bolts (PCB) are a safer option, but commercial PCB may not have the proper bolt length to successfully reach the thalamus, a brain structure implicated in consciousness. To the best of our knowledge, this was the first study to evaluate stun placement for bison cows. The primary objective of this study was to compare tissue thicknesses, thalamic depth, and potential for brain and thalamic contact at 3 PCB placements (FRONTAL, IDEAL, POLL). The secondary objective was to understand the relationship between the FRONTAL and IDEAL placements and anatomical head features.
Materials and Methods: Seventy-two hide-on cadaver heads from 4-to-20-y-old bison cows (hot-carcass weight: 297.23 ± 106.23 kg, mean ± SD) were obtained from a commercial slaughter establishment after the source animals were stunned at a frontal location with a 0.410 bore shotgun. Heads were transported to the University of Wisconsin - River Falls and stored in a walk-in cooler for approximately 121.5 h after arrival. Each head was shaved, and external head measurements were collected with a digital caliper. Heads were randomly assigned to 1 of 3 PCB placements: FRONTAL, 2.5 cm above the base of the horns; IDEAL, 8.3 cm above the base of the horns; and POLL, backside of the poll, with the PCB directed toward the ventral aspect of the nose. Each stun treatment was applied with a prototype 0.25R-caliber free-flight PCB with 38.1 mm greater bolt travel distance than other commercially available handheld PCB. Six grain cartridges were used in the PCB. The length of the head was collected by measuring the distance from the tip of the nose to the poll with a digital caliper. The distance between the poll and the FRONTAL and IDEAL placements was also measured. Each head was split on center with a band saw to expose the bolt path. Measurements of soft tissue and cranial thickness were collected at the site of captive bolt application with a digital caliper. After splitting, a digital image was collected of each half of each head with pins placed at the levels of the eyes and horns, along with a 15-cm ruler on the surface of the head. The camera was set 50.8 cm above each head. These images were used to assess potential for brain contact. Upper reference limits (URL) were determined for total tissue thickness to estimate the bolt travel distance required to reach the brain for 97.5% of bison cows 4-to-20 y of age.
Results: All results are reported as mean ± SD, and URL are also reported for total tissue thickness. There was no evidence to support a difference (P > .2206) in head weight between the FRONTAL (18.9 ± 0.58 kg), IDEAL (19.5 ± 0.46 kg), and POLL placements (18.44 ± 0.36 kg). There was also no evidence to support a difference (P > .8760) in overall head length, indicated by the distance from the poll to the nose between the FRONTAL (53.98 ± 0.50 cm), IDEAL (54.38 ± 0.34 cm), and POLL placements (54.60 ± 0.30 cm). The distance from the poll to PCB placement was also recorded for the FRONTAL (12.39 ± 0.33 cm) and IDEAL placements (8.04 ± 0.31 cm); however, comparisons could not be made because this measurement was not normally distributed for the FRONTAL placement. Soft tissue thickness was greater (P < .0026) at the POLL placement (16.05 ± 1.61 mm) than the IDEAL (9.93 ± 0.41 mm) and FRONTAL (9.00 ± 0.36 mm) placements; however, there was no evidence to support a difference (P = .2820) in soft tissue thickness between the IDEAL and FRONTAL placements. Cranial thickness was greater (P = .0002) at the IDEAL placement (34.07 ± 1.32 mm) than the POLL placement (25.77 ± 1.36 mm). Comparisons of cranial thickness including the FRONTAL placement (28.13 ± 0.96 mm) could not be made, as cranial thickness at the FRONTAL placement was not normally distributed. The total tissue thickness was greater (P = .0013) at the IDEAL placement (43.96 ± 1.68 mm; URL: 57.45 mm) than the FRONTAL placement (37.16 ± 1.02 mm; URL: 46.96 mm). However, there was no evidence to support a difference (P > .108) in total tissue thickness between the FRONTAL and POLL placement (41.51 ± 1.68 mm; URL: 58.93 mm) or between the IDEAL and POLL placement. The brain was located within the plane of bolt travel for all heads at each placement (FRONTAL: 25/25; IDEAL: 23/23; POLL: 26/26).
Conclusion: Per the manufacturer, the expected bolt travel distance of the PCB used in this study was 152.4 mm, which is estimated to be 38.1 mm longer than any commercially available PCB device. This expected bolt travel distance is greater than any of the URL values for total tissue thickness determined in the present study for the FRONTAL, IDEAL, and POLL placements, suggesting that this prototype PCB should reach the brain for at least 97.5% of bison cows aged 4-to-20 y. Additionally, the brain was located within the bolt path for all heads at each PCB placement, suggesting that each placement may be appropriate for use with this device.
Funding Source: This project was funded by the University of Wisconsin - River Falls’s Research, Scholarly, and Creative Activity Program and the Humane Handling Institute.
Keywords: bison, captive bolt, stunning, welfare.
Consumer Topics
4 Hey Good Looking, How Have You Been Cooking? The Role of Cooking Method on Cooked Color and Palatability
Greta E. Huber*, Samuel F. Stickley, Taylor M. Dieball, Chesney A. Effling, Lauren M. Frink, Mason J. Prester, Sidney A. Munk, Stephanie L. Witberler, Michael D. Chao, Morgan D. Zumbaugh, Jessie L. Vipham, Travis G. O’Quinn, and Erin S. Beyer, Kansas State University, Manhattan, KS 66506, USA *gretahuber@ksu.edu
Introduction/Objectives: Cooking method and degree of doneness (DOD) are crucial in determining beef palatability, affecting key sensory attributes such as juiciness, tenderness, flavor, and color. While various cooking methods are commonly used to prepare beef, their impact on palatability and appearance at different DOD remains a point of interest. Consumers often use both internal and external color to visually assess the steak’s doneness, which can influence their expectations and overall eating experience. Therefore, the goal of this study was to determine the palatability and appearance differences between 6 cooking methods and 2 DOD.
Materials and Methods: Paired beef striploins (N = 12) were collected at a commercial beef processing plant and transported to Kansas State University. Striploins were denuded into the Longissimus lumborum and sliced into 2.5-cm steaks. Steaks were randomly assigned one of 6 cooking methods (sous vide, oven, grill, flat top, clamshell, or air fryer) and a DOD (medium rare [MR] or well done [WD]). Steaks were aged for 21 d at 4°C in the absence of light, then frozen at −40°C until use. Prior to cooking, steaks were thawed for 24 h at 2°C to 4°C. Air fryer steaks were cooked at 204°C and monitored using a Type K Thermaworks probe. Steaks were flipped at 32°C (MR) or 46°C (WD) and removed at 58°C (MR) or 74°C (WD). Oven and grill steaks were cooked at 177°C, flipped at 29°C (MR) or 35°C (WD), and removed at 58°C (MR) or 75°C (WD). Flat top, clamshell, and grill steaks were also cooked at 177°C and monitored with a Thermapen. Flat-top steaks were flipped at 29°C (MR) or 32°C (WD) and removed at 57°C (MR) or 74°C (WD). Clamshell steaks were cooked to 57°C (MR) or 74°C (WD). Sous-vide steaks were cooked in vacuum-sealed bags at 57°C (MR) or 68°C (WD) for 1 h, then seared on the flat top (177°C) for 30 s per side, and removed at 60°C (MR) or 75°C (WD). Endpoint temperatures for all cooking methods were monitored with Thermapens inserted into the geometric center of each steak and targeted at 62.8°C for MR and 76.7°C for WD. Consumers (N = 96 per DOD; N = 192 total) evaluated 6 samples (1 per cooking method within each DOD) using a 100-point line scale anchored at 0 and 100 for juiciness, tenderness, flavor, overall liking, and overall appearance. Acceptability (acceptable/unacceptable) was determined for each trait. Consumers were asked about the visual expectations by determining (yes/no) if the steak’s appearance matched the expected DOD. Data were analyzed using SAS PROC GLIMMIX using a split-plot design, with cooking method as a whole-plot factor and DOD as the subplot factor. α was set at 0.05.
Results: The consumers determined the oven steaks were juicier (P < .05) than the flat top, air fryer, sous-vide, and grill steaks, while being rated similar (P > .05) for juiciness compared to clamshell. Similarly, oven samples were rated the most tender (P < .05) compared to all other cooking methods. There was an interaction (P < .05) between cooking method and DOD for flavor liking. The MR grill steaks had a higher (P < .05) flavor rating compared to all cooking methods within the WD DOD, as well as the MR sous-vide and clamshell steaks. Within each cooking method, aside from the flat top, consumers rated the MR samples higher for flavor liking (P < .05) compared to the WD samples. The flat-top samples were rated similarly (P > .05) between the MR and WD DOD. Although consumers found differences (P < .05) in juiciness, tenderness, and flavor liking among the cooking methods, these did not (P > .05) illicit an impact on the overall liking scores. Consumers rated the highest (P < .05) percentage of steaks from the oven and clamshell as acceptable for juiciness. Similar to the overall liking results, the percentage of consumers that rated samples as acceptable for the remaining traits were similar (P > .05) among cooking methods. DOD influenced all sensory attributes evaluated by consumers (P < .05). As expected, the MR steaks were rated higher (P < .05) than WD steaks for all traits: juiciness, tenderness, flavor, overall liking, and overall appearance. Subsequently, the percentage of consumers that rated each sample as acceptable for all traits (juiciness, tenderness, flavor, overall liking, and overall appearance) was higher (P < .05) in the MR samples than the WD. This study aimed to understand the impact of cooking method on appearance rating and acceptability. Oven and flat-top steaks had a higher (P < .05) overall appearance rating compared to the clamshell, sous-vide, and sir fryer steaks, while being similar (P > .05) to the grill. However, there was an interaction (P < .05) for the visual expectation of the steaks when consumers were asked if it met their criteria for a MR or WD DOD. WD air fryer steaks resulted in a higher (P < .05) percentage of consumers who determined it met their visual expectations compared to all treatment and DOD combinations, aside from (P > .05) the sous vide cooked to a WD DOD.
Conclusion: Although consumers perceived juiciness, tenderness, flavor, and overall appearance differently for some cooking methods, the cooking method had no impact on overall liking. While the MR DOD rated higher than the WD DOD for almost all sensory traits, consumers found no difference between the 2 DOD for flavor liking scores within the flat-top steaks. Most interestingly, consumers determined differences in appearance within each DOD, indicating that while each cooking method resulted in similar endpoint temperatures, the cooking method impacted internal and external color, influencing the consumer’s preference. This was supported by the interaction between DOD and cooking method for visual expectations where consumers determined that both DOD and cooking method influenced the visual DOD. While this project identified a relationship between cooking method, DOD, and consumer preferences, the cooked color attributes must be explored to understand the comprehensive implications for the consumer and food service industry.
Funding Source: Kansas State University.
Keywords: beef, consumer, cooking method, degree of doneness.
5 Performance, Serum, Hematology Parameters, Muscle Evaluation, Lipid Profile, and Thiobarbituric Acid Reactive Substances of Pig Fed Saturated Fat: Red Meat, Cheese, and Egg
Patience Fakolade*, Plebian Aluko, Oluwatosin Adedire, Janet ILori, Ruth Ogunniyi, Blessinh Awotola, Solomon Abokede, and Oliyide Adisa, Osun State University, Osogbo, Osun State, Nigeria *patience.fakolade@uniosun.edu.ng
Introduction/Objectives: Controversy on the negative effect of consumption of saturated fat on human health is the focus of this study. Nowadays food is not intended to only satisfy hunger in the form of carbohydrates but to prevent nutritional related diseases, stay much longer in the stomach, build up muscle, and improve the physical and mental wellbeing of consumers. There is discouragement in the consumption of animal products (e.g., eggs, milk, and red meat) because of their saturated fat, with the belief that they cause chronic diseases such as diabetes, arthritics, heart disease, cancer, and cardiovascular diseases. For these reasons, people decide to cut back on animal products (e.g., protein and fat) by increasing the intake of vegetable oils and carbohydrates. Experimenting with the effects of saturated fat from pigs fed saturated fat could retard this believe.
Materials and Methods: Seven treatments consisting of T1, boiled red (beef); T2, fried red meat (beef); T3, boiled eggs; T4, fried eggs; T5, boiled cheese; T6, fried cheese; and T7 concentrate grower mash (control), all with saturated fat content, were fed to 35 grower large white male pigs for 8 wk. Their performance, muscle and blood evaluation, cholesterol content, and lipid profile were determined in a completely randomized design. The initial weights of the pigs were taken before allocating them into treatments, and, thereafter, parameters like daily feed intake, final body weight, body weight gain, daily feed intake, and feed conversion ratio were evaluated. A digestibility study was conducted during the last week of the experiment. Three pigs were selected randomly per treatment and kept in a metabolic cage for digestibility studies. Fecal samples were collected daily, oven dried, and taken to the laboratory for proximate composition to determine the nutrient composition in the feed according to the AOAC (1990). Blood samples were collected from the jugular vein using syringes for the hematologic and serum biochemical analysis by 6.00 AM and taken to the laboratory using an ice container pack. Ethylene diamine tetra acetic acid test tubes, as anticoagulant, were used to collect blood samples for evaluation. Muscle evaluation, cholesterol content, lipid profile, and thiobarbituric acid reactive substances were evaluated according to Roschlau et al. (2014), proximate composition according to AOAC (2005), and physicochemical analysis and palatability score according to Fakolade et al. (2018). All data collected were subjected to a 1-way analysis of variance using the statistical package SPSS version 20, and the significant difference in the mean was compared using Tukey honestly significant different multiple range test in a complete randomized design.
Results: T7 had highest (P < .05) in final weight gain of 20.50 g, body weight gain of 8.00 g, and daily weight gain of 0.16 g than other treatments evaluated. Feed conversion ratio was higher in T3 and T4 (boiled and fried egg) (P < .05) and lowest significantly in T5 and T6 (boiled and fried cheese), respectively. Hematology parameters had lowest packed cell volume (PCV), hemoglobin (Hb), red blood cell count (RBC), white blood cell count (WBC), and platelet count in T1 than for other treatments. For protein content, ash and ether extract were lower significantly (P < .05) in T7 but higher in T1 (boiled egg). Cholesterol values had no significant differences (P > .05) for all the treatments evaluated. In T7, low-density lipoprotein was significantly higher for both blood and muscle samples and lowest in high-density lipoprotein. This study indicated that consumption of saturated fat fed to pigs did not increase the level of cholesterol, gave lower low-density lipoprotein and higher high-density lipoprotein with positive effects in muscle protein and ash content, PCV, Hb, RBC, WBC, and platelet count to pig health.
Conclusion: Consumption of saturated fat (red meat, egg, and cheese) had no detrimental effects on pigs that consumed them. Instead, the hematology, serum parameters, and lipid profile shows positive effects with moderate weight gains. Further research is needed to determine if consumption of animal products to increase protein intake will translate similarly to humans to improve human health as with the assumption that it could cause certain chronic diseases. Animal product consumption should be encouraged to all age groups so as to increase that total protein intake in human diet.
Hematology parameters of pig fed saturated fats in their diets
| Parameters | Treatments | SEM | ||||||
|---|---|---|---|---|---|---|---|---|
| T1 | T2 | T3 | T4 | T5 | T6 | T7 | ||
| PCV (%) | 34.00 | 38.33 | 43.33 | 36.33 | 38.33 | 33.33 | 35.67 | 4.17 |
| Hb (g/dL) | 11.10 | 12.37 | 10.70 | 12.30 | 11.77 | 13.87 | 11.50 | 1.41 |
| RBC (× 106 μL) | 05.32 | 06.30 | 06.14 | 05.36 | 05.77 | 06.90 | 05.92 | 0.74 |
| WBC (× 103 μL) | 5000.00 | 4816.67 | 5066.67 | 5066.67 | 4966.67 | 5066.67 | 5600.00 | 53.0 |
| Platelet | 80 500.00 | 95 000.00 | 84 333.33 | 106 666.67 | 101 000.00 | 89 666.67 | 82 666.67 | 128.1 |
| Lymphocyte (%) | 64.00 | 67.33 | 67.33 | 65.67 | 66.33 | 71.00 | 65.33 | 3.07 |
| Neutrophils (%) | 29.50 | 28.00 | 27.33 | 29.00 | 28.00 | 24.33 | 30.00 | 2.47 |
| Monocytes (%) | 2.50 | 2.00 | 2.33 | 2.00 | 3.00 | 2.33 | 2.33 | 0.77 |
| Eosophil (%) | 4.00 | 2.67 | 3.00 | 3.33 | 2.67 | 2.33 | 2.33 | 1.37 |
Hb, hemoglobin; PCV, packed cell volume; RBC, red blood cell count; SEM, standard error of mean; WBC, white blood cell count.
Lipid profile and thiobarbituric acid reactive substances contents in pig blood and muscle fed saturated fat
| Samples | Parameters | T1 | T2 | T3 | T4 | T5 | T6 | T7 | SEM |
|---|---|---|---|---|---|---|---|---|---|
| Pig blood | HDL (md/dL) | 31.63 | 44.48 | 32.33 | 38.90 | 35.58 | 44.42 | 28.47 | 0.45 |
| LDL (md/dL) | 16.11 | 24.08 | 20.98 | 28.64 | 30.34 | 32.30 | 33.79 | 0.39 | |
| TBARS (μmol/g) | 40.20 | 48.30 | 40.60 | 48.63 | 30.26 | 35.88 | 33.19 | 0.03 | |
| Pig muscle | HDL (md/dL) | 19.13 | 14.03 | 17.56 | 15.12 | 18.15 | 17.82 | 15.37 | 0.45 |
| LDL (md/dL) | 9.54 | 8.13 | 11.04 | 9.03 | 11.47 | 11.15 | 13.06 | 0.39 | |
| TBARS (μmol/g) | 0.78 | 0.64 | 0.84 | 0.74 | 0.81 | 0.61 | 0.89 | 0.03 | |
| Chol (mg/100 g) | 36.93 | 39.45 | 38.79 | 41.01 | 41.79 | 42.63 | 41.28 | 0.06 |
Chol, cholesterol; HDL, high-density lipoprotein; LDL, low-density lipoprotein; SEM, standard error of mean; TBARS, thiobarbituric acid reactive substances.
Keywords: saturated fat, red meat, egg, milk, cheese.
6 A Fresh Look at Ground Beef Spoilage: Determining Spoilage Thresholds for Ground Beef Using Microbial Analysis and Consumer Evaluation
Lauren M. Frink*, Stephanie L. Witberler, Mason J. Prester, Chesney A. Effling, Erin S. Beyer, Jessie L. Vipham, Morgan D. Zumbaugh, Michael D. Chao, and Travis G. O’Quinn, Kansas State University, Manhattan, KS 66506, USA *lfrink@ksu.edu
Introduction/Objectives: The spoilage of red meat has been extensively studied, with a focus on microbial growth and objective color measurements. Previous studies have also evaluated the correlation between microbial growth and objective measurements, reporting that meat is considered spoiled when bacterial levels reach 7 Log CFU. However, spoilage is evaluated by the consumer using organoleptic traits such as sight, touch, smell, and taste. Therefore, the objective of this study was to determine the point at which consumers perceive ground beef as spoiled based on appearance, texture, odor, and taste and to compare these perceptions with microbiological measurements and the meat microbiome.
Materials and Methods: This study utilized 454 g ground beef (80% lean) packages (N = 128) obtained from a commercial case-ready facility. Samples were shipped and stored in the absence of light at 2°C to 4°C in trigas-flushed mother bags. Paired ground beef packages were randomly designated display dates (0, 2, 4, 6, 8, 10, 12, and 14d). One sample from each pair was utilized for consumer sensory evaluation, while the other was analyzed for microbial enumeration and microbiome analysis. Consumers (N = 128/panel type) evaluated the appearance of the samples in the retail case as well as the touch, odor, and taste of the samples. For all sensory evaluations, each consumer evaluated 8 samples, 1 from each day of display in a random order. Consumers evaluated the desirability of all organoleptic measurements on a continuous 100-point line scale for desirability. Additionally, consumers were asked a yes/no question if they would purchase the package and a yes/no question if they would consider the sample as spoiled based upon each sensory trait. Microbial enumeration was conducted using aerobic plate counts (APC), Enterobacteriaceae (EB), and E. coli counts (ECC). 25 g samples of ground beef were stomached with 225 mL of peptone water to produce serial dilutions. One-mL aliquots of the dilutions were plated on the APC, EB, and ECC Petrifilms and then incubated and counted per the manufacturer’s guidelines. To evaluate the microbiome, DNA samples were isolated from each ground beef sample using the Qiagen DNeasy Mericon Food standard protocol. The DNA concentration of each sample was quantified using the high sensitivity double strand DNA kit and the Qubit 2.0 fluorometer. Samples were analyzed at Novogene Co., and the effects of day of display were analyzed using R. Sensory data, analyzed in SAS for “would purchase” and “spoiled” responses, and analyzed as a completely random design with day of display as the fixed effect with an a of 0.05.
Results: Consumer ratings for “spoiled” and “would purchase” were generated for organoleptic traits. Appearance models showed the most significant change, with 88.6% of samples rated as “would purchase” and 3.1% of samples as “spoiled” on day 4. Purchase intent was lower (P < .05) (6.8%) and “spoiled” samples were higher (81.3%; P < .05) on day 8. According to touch and odor, there was a steady increase (P < .05) across the display period for samples rated as “spoiled,” with day 14 having the highest (P < .05) spoilage rating. The inverse was observed for purchase intent based upon touch and odor, with day 0 having the highest (P < .05) purchase intent and day 14 having the lowest (P < .05). There was no difference (P > .05) in purchase intent based upon the taste across the display period. Consumers reported a difference (P < .05) in spoilage rating for taste; however, the highest (P < .05) average spoilage rating recorded was only 17.9% on day 14. On average, APC were the highest, starting at 6.5 Log CFU/g on day 0. From day 4 to 8, APC counts rose (P < .05) to 7.6 Log CFU/g. While EB and ECC steadily increased (P < .05) over the 14-d display period, both methods showed only a 1-Log increase during days 4 to 8. Additionally, the microbiome shifted (P > .05) during this period from being predominantly composed of Lactobacillus species to Pseudomonas species. Logistic regression models were developed to predict purchase intent and spoilage classification. Common threshold values of 50%, 75%, 90%, and 95% were identified for purchase intent and 5%, 10%, 25%, and 50% for spoilage classification in regard to microbial enumeration. Models generated for all microbial measurements corresponding to consumer visual appearance were the strongest (P < .05). APC accounted for 59% of the variation within the model, with values of 7.3, 6.7, 6.1, and 5.8 Log CFU/g corresponding to a 50%, 75%, 90%, and 95% chance of consumer purchase. According to the appearance, consumers were 5%, 10%, 25%, and 50% likely to rate samples as spoiled when APC were 5.3, 5.9, 6.8, and 7.7 Log CFU/g (R2 = 0.46; P < .05). When APC reached 7 Log CFU/g, consumers were 60% likely to purchase the sample and only 30% likely to rate the sample as spoiled.
Conclusion: Throughout the 14-d display period, color change was the primary factor influencing consumers’ determination of ground beef spoilage. Although microbial growth steadily increased, and a shift in the microbiome occurred, our results indicate no objective measurements conclude that microbial activity was the main driver of color change. While spoilage ratings based upon touch and odor increased over time, consumers did not perceive a difference in taste, even with the extended age of the product. Therefore, in this study spoilage in ground beef is primarily determined by the consumer’s perception of appearance, with microbial growth having no direct impact on this assessment.
Funding Source: Kansas State University.
Keywords: spoilage, ground beef, microbial, consumer.
7 Is It Time for Super Prime?
Chesney A. Effling*, Lauren M. Frink, Mason J. Prester, Stephanie L. Witberler, Greta E. Huber, Samuel F. Stickley, Sidney A. Munk, Erin S. Beyer, Morgan D. Zumbaugh, Jessie L. Vipham, Michael D. Chao, and Travis G. O’Quinn, Kansas State University, Manhattan, KS 66506, USA *ceffling@ksu.edu
Introduction/Objectives: Over the past 25 y, the US beef industry has experienced a steady improvement in carcass quality, most notably in the increased percentage of carcasses grading prime. According to the National Beef Quality Audit, only 2.0% of carcasses graded prime in 2000 compared to 7.8% in 2021. Despite this shift, most value-based marketing programs continue to emphasize top choice carcasses, with prime often treated as a single, undifferentiated category. As prime availability grows, there is an opportunity to better characterize and capture added value from variation within the prime grade. However, little research has been done to evaluate consumers’ perception of upper 2/3 prime steaks when compared to other quality grades. Therefore, the objective of this study was to evaluate consumer palatability preferences in striploin steaks of upper 2/3 prime when compared to low prime, upper 2/3 choice, and low choice.
Materials and Methods: An equal number (n = 15) of beef striploins representing 4 marbling categories were collected from a commercial packing facility. The marbling categories represented were as follows: super prime (moderately abundant and abundant), low prime (slightly abundant), top choice (modest and moderate), and low choice (small). Subprimals were fabricated into 2.5-cm-thick steaks and vacuum packaged. Additionally, steaks were designated to 1 of 3 degrees of doneness (DOD): rare (R, 60°C), medium (MED, 71°C), and well done (WD, 76°C). Upon reaching the designated aging period of 28 d, steaks were frozen at −20°C until subsequent analyses. Consumers (N = 192) evaluated samples for juiciness, tenderness, flavor, and overall liking on a 100-point continuous-line scale. Anchors were designated on both ends as well as at the midway point with descriptive terms for each, with 0 being extremely dry, tough, and dislike extremely and 100 being extremely juicy, tender, and like extremely. Consumers were then asked an additional question to determine if the sample was acceptable or unacceptable for each of the sensory traits evaluated. Responses were recorded using a digital survey on an electronic tablet. Steaks designated for consumer panels were thawed at 2°C to 4°C for 24 h prior to testing. Steaks were then cooked on an electric flat-top grill utilizing a weighed steak press to their respective assigned DOD. Temperatures were monitored using a Type K Thermocouple. R steaks were flipped at 27°C and pulled at 53°C for a peak temperature of 60°C. For a MED DOD, steaks were flipped at 30°C and pulled from the grill at 68°C for a peak temperature of 71°C. WD steaks were flipped at 32°C and pulled at 74°C for a peak temperature of 76°C. Consumers were served two 1.3 × 1.3 × 2.54 cm3 cubes per sample. All final peak temperatures were collected. Data were analyzed using a split-plot design in SAS, with quality grade as the whole-plot factor and DOD as the subplot factor. Statistical significance was set at 0.05.
Results: There were no (P > .05) interactions between quality grade and DOD for any consumer-evaluated traits. When evaluating the main effect of quality grade, super prime steaks were juicier, more tender, and rated higher for flavor and overall liking (P < .05) than all other grades. No differences (P > .05) were observed among low prime, top choice, and low choice for juiciness, flavor, and overall liking. Tenderness ratings were similar (P > .05) between low prime and top choice and between top choice and low choice. However, low prime steaks rated higher (P < .05) compared to low-choice steaks for tenderness. Additionally, a higher percentage of super prime steaks rated as acceptable (P < .05) for juiciness, tenderness, flavor, and overall liking than all lower grades. No differences (P > .05) were found in the percentage of samples rated acceptable for tenderness between low prime and top choice steaks and top choice and low-choice steaks. However, a higher percentage (P < .05) of consumers rated low prime steaks as acceptable for tenderness than low-choice steaks. When evaluating the main effect of DOD, R steaks were juicier, more tender, and rated higher overall (P < .05) than MED and WD steaks. However, MED and WD steaks rated similar (P > .05) for juiciness, tenderness, and overall liking. No differences (P > .05) were found between R and MED steaks, and MED and WD steaks for flavor liking. However, R steaks were rated higher (P < .05) than WD steaks for flavor liking. Additionally, a higher percentage (P < .05) of R steaks rated as acceptable for juiciness than MED steaks and a higher percentage (P < .05) of MED steaks rated as acceptable for juiciness than WD steaks. A higher percentage (P < .05) of R steaks rated as acceptable for tenderness than MED and WD steaks. However, there was no difference (P > .05) in the percentage of MED and WD steaks that rated acceptable for tenderness. For overall acceptability, no differences (P > .05) were found in the percentage of samples rated acceptable between R and WD steaks or WD and MED steaks. However, a higher percentage (P < .05) of WD steaks rated as acceptable than MED steaks for overall acceptability. DOD had no impact (P > .05) on the percentage of samples rated acceptable for flavor liking.
Conclusion: Regardless of DOD, super prime steaks outperformed all other quality grades in all sensory traits evaluated by consumers. These results indicate that consumers preferred the eating quality of upper 2/3 prime steaks over the other grades evaluated. This supports the opportunity for a premium program within the prime grade, offering the beef industry a valuable opportunity to capture added value from this highest grade within beef.
Funding Source: Kansas State University.
Keywords: beef, consumer, palatability, prime, quality.
8 Consumer Evaluation of Breaded Fried Chicken Fillets
Blake Robbins*, Grace Harris, Keayla Harr, Jameson Anna Scott, Ranjith Ramanathan, Gretchen Mafi, and Morgan Pfeiffer, Oklahoma State University, Stillwater, OK 74078, USA *blake.robbins@okstate.edu
Introduction/Objectives: The rise in consumption of chicken sandwiches has led to increased emphasis on the production of breaded chicken fillets. Currently in industry, during production of breaded chicken fillets, breasts are split into top and bottom portions before further processing. Fillets halves are then marinated before going through a predust, batter, breader system, then par fried, frozen, packaged, and shipped. A previous industry study showed that top and bottom breaded chicken fillets were significantly different in instrumental texture values. Therefore, the objective of this study was to determine consumer perceptions of top and bottom breaded fried chicken fillets sensory attributes.
Materials and Methods: One-hundred and forty-eight fillets (n = 74 tops and 74 bottoms) were cooked in groups of 12, split evenly between tops and bottoms. Samples were deep fried in vegetable oil in a commercial fryer at 177°C for 6 min and 25 s. After frying, internal temperatures were measured with a calibrated meat thermometer to ensure the internal temperature exceeded 74°C. Each fillet was assigned a random number then cut into 8 triangular pieces of similar sizes. Pieces were placed into sample cups and kept warm in an insulated warming bag. Panels were conducted at Francis Tuttle Culinary Institute in Oklahoma City, Oklahoma and Oklahoma State University in Stillwater, Oklahoma. One-hundred and fifty (n = 150) panelists participated. Panelists were compensated with a $10 gift card for their time. Each panelist was served 6 samples, 3 tops and 3 bottoms. Panelists completed a digital Qualtrics ballot including a consent form, demographic questions, and the following questions about each sample: overall like/dislike of the product, overall texture, overall tenderness, overall juiciness, overall crispiness, overall saltiness, how much they liked the tenderness of the product, and how much they liked the juiciness of the product. Responses were assigned a numerical value for each question. For overall liking questions, numbers 1 to 7 were used with lower values indicating less acceptance and higher values greater acceptance. For overall texture, tenderness, juiciness, crispiness, and saltiness questions, values of 1 and 2 indicated not tender, juicy, crispy or salty enough; 3 indicated “just about right”; and 4 and 5 indicated too tender, moist, crispy, or salty. Fillet type (top or bottom) and consumer perception were compared using the GLIMMIX procedure of SAS to determine differences in texture, tenderness, crispiness, juiciness, and overall liking with differences determined at a P value of less than .05.
Results: Consumer found tops to be more acceptable (P < .05) for overall liking than bottoms with respective mean ratings of 5.05 for tops and 4.77 for bottoms. When asked about overall texture of the product, consumers rated bottoms with an average score of 2.76 and tops 2.79, showing no difference (P > .05) between tops and bottoms. Consumers found no difference (P > .05) in overall tenderness, juiciness, or crispiness between top and bottom halves of fillets. Consumers detected a difference (P < .05) in overall saltiness of the product, finding bottom halves being less salty than tops, with an average score of 2.92 and 3.07, respectively. When asked about their liking of the tenderness or juiciness of the product, consumers found no difference (P > .05).
Conclusion: The results suggest consumers had a greater overall liking of tops than bottoms, which was to be expected as tops are normally considered higher quality cut than bottoms. Interestingly, consumers indicated no differences in texture or tenderness for tops and bottoms. Improved liking of tops can also be attributed to saltier tops than bottoms. The current study suggests that fillet location and ingredients can influence overall liking. Further research into tops and bottoms utilizing different breading systems would be beneficial to observe these effects across a variety of products.
Keywords: poultry texture, consumer preference.
9 Challenges of Dry-Aging Programs in the Southern United States
Peyton Arnold1,*, Nick E. Johnston2, and Derico Setyabrata1, 1Department of Animal Science, University of Arkansas, Fayetteville, AR 72701, USA, 2School of Human Environmental Sciences, Hospitality Management, University of Arkansas, Fayetteville, AR 72701, USA *peytona@uark.edu
Introduction/Objectives: The popularity and demand for dry-aged meat have increased significantly among consumers in recent years. Dry aging is a traditional meat processing technique that enhances the palatability of meat, particularly by improving tenderness and developing distinctive flavors, such as buttery and nutty notes. These attributes have been widely recognized as key drivers of consumer interest. Despite this growing demand, many meat processors have been slow to adopt dry-aging programs, potentially missing opportunities for economic growth and product diversification. Therefore, this study aimed to identify the key challenges and barriers faced by meat processors in implementing dry-aging programs. By understanding the practical, regulatory, and economic concerns of regional producers, we hope to provide insight into the support needed to expand dry-aged offerings and better meet consumer expectations in the region.
Materials and Methods: A semistructured survey was conducted via the Qualtrics survey platform. Participants (n = 100) recruited for the study were those who currently have an active role in the sale, purchase, or development of meat products in their respective businesses. The survey included both quantitative and qualitative components, assessing respondents’ knowledge, participation, and perceptions regarding dry-aging practices and products. Descriptive statistics were used to analyze demographic data and key themes from open-ended responses. Survey questions explored operational scale, current use of dry-aging techniques, familiarity with dry aging, perceived benefits and challenges, and interest in program adoption.
Results: The results showed that 79% of respondents were owners, general managers, food purchasers of butcher shops, distributors, and other food-related businesses. The remaining 21% were active in the food service industry (steakhouses and casual dining), mainly as chefs. A majority (51%) of the respondents represented small operations (10–49 employees). Currently, 68% of respondents produce dry-aged meat, while 24% offer both wet- and dry-aged products. Notably, 28% of those producing dry-aged meat have been doing so for less than 3 y. Knowledge levels varied, with 37% identifying as having basic knowledge and 28% as having intermediate knowledge of dry-aging techniques. Beef was the most common dry-aged protein, followed by pork, lamb, poultry, and wild game. Among respondents who were not currently practicing dry aging, 75% of participants were interested in adopting such program into their business. Key challenges reported by current dry-aged producers included the cost of equipment (83%), consumer demand (75%), and product sourcing (60%). Safety and regulatory concerns were cited less frequently (20% and 36%, respectively). Maintaining precise environmental conditions, temperature, airflow, and humidity, was emphasized as critical to product quality and safety. Profitability remains a major concern. A significant portion of producers are not fully utilizing byproducts from the dry-aging process. Overall, only 41% reported using crust and trim waste, most commonly incorporating it into further processed products (29%) or using it for sauces and stocks (29%).
Conclusion: This study highlights the primary concerns and opportunities for expanding dry-aging programs among meat processors in the southern United States. While consumer interest continues to rise, producers face economic and operational barriers, with equipment costs and inconsistent demand being the most pressing. Improved education and training on the best dry-aging practices, particularly in managing environmental controls and utilizing byproducts, could enhance profitability and efficiency. Expanding awareness of dry-aged meat’s value and potential applications may also drive consumer demand. The development of targeted outreach and technical support resources will be essential in helping producers successfully implement dry-aging programs. Future surveys will aim to capture a broader understanding of current practices and the long-term impact of dry-aging programs on regional meat markets.
Funding Source: This project is funded by the Arkansas Beef Council.
Keywords: dry aging, barriers, producers, survey, waste.
10 High-Pressure Processing Reverses Dark-Cutting Beef to Normal Bright-Red Color: A Study on Consumer Perception
Madison Muller1,*, Morgan Pfeiffer1, Rodney Holcomb1, Mary-Grace Danao2, Gary A. Sullivan3, Jordan C. Wicks3, Gretchen Mafi1, Ranjith Ramanathan1, 1Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA, 2Department of Food Science and Technology, University of Nebraska–Lincoln, NE 68588, USA, 3Department of Animal Science, University of Nebraska–Lincoln, Lincoln, NE 68583, USA *madison.muller@okstate.edu
Introduction/Objectives: Approximately $210 million is lost annually due to dark-cutting conditions of beef. The 2021 National Beef Quality Audit reported that the occurrence of dark-cutting beef is a missed opportunity for the beef industry. Dark cutters are often discounted during grading and are not sold in retail due to their appearance and reduced shelf life. This leads to an approximate $200 discount per carcass. Recently, we demonstrated that applying high pressure to dark-cutting beef can reverse the dark color. However, there is limited knowledge of consumer perception of improved redness in dark-cutting beef. The objective of the study was to understand consumer perception of improved redness in dark-cutting beef following high-pressure application.
Materials and Methods: Two separate studies were conducted to understand consumer perception using Tobii Pro 3 glasses and a digital survey using images of steaks. No-roll dark-cutting loins (mean pH = 6.4) and normal-pH loins were purchased from a beef processing facility within 3 d to 5 d of harvest. Loins were cut into equal sections, vacuum packaged, and randomly assigned to high-pressure processing (HPP) treatment of 0 (no HPP), 300, or 450 megapascals (MPa) with a holding time of 90 s. Normal-pH beef was not HPP treated and served as a control. Loins were transported to Oklahoma State University and aged for approximately 14 d. Following aging, steaks were bloomed for 1 h at 4°C and used for taking digital images and consumer perception analysis using Tobii Pro 3 glasses. Tobii Pro 3 is a wearable eye-tracking system designed to study human behavior and attention in various real-world settings. For the Tobii Pro 3 study, the 8 samples were placed in a retail case. Participants were asked to wear the Tobii Pro 3 glasses for 30 s and to examine the samples like they would in a grocery store. To simulate an in-store setting where consumers make purchasing decisions, participants (n = 56) were asked to wear Tobii Pro 3 glasses for 30 s, visually evaluate the steaks in the retail case, and then were given a survey. For the consumer survey, untrained consumer panelists (n = 163) were recruited and filled out a digital survey (Qualtrics Software). The survey consisted of 4 digital images of steaks (normal-pH control, dark-cutter without HPP, 300 MPa dark-cutting beef, and 450 MPa dark-cutting beef), demographic information, beef purchasing questions, and sample evaluation questions. The survey was created using Qualtrics and distributed via email and social media links. The data were expressed as a percentage in each category.
Results: The Tobii Pro 3 glasses study found that participants gazed longer at normal-pH bright-red steaks (20.03 s) than at other steaks, while their gaze time was shorter for 450 MPa steaks (8.72 s), likely due to the paleness associated with pressure application. Since all steaks were presented simultaneously, participants did not gaze longer at the 300 MPa steaks (9.6 s), even though their redness was enhanced. The participants in the digital survey came from 8 different states in the central United States. Eighty-one percent of the participants indicated that normal-pH beef was their first purchasing choice. Only 3% of participants stated they would prefer the dark-cutting steak without HPP. Steaks subjected to 300 MPa for 90 s enhanced consumer preference, with 57% of participants preferring it as their second choice after normal-pH steaks.
Conclusion: The research suggests that 300 MPa HPP improved the redness of dark-cutting steaks. Improved redness is also associated with improved consumer purchasing decisions. Future consumer studies utilizing multiple triangle tests will enhance our understanding of specific consumer preferences for normal-pH bright-red steaks, high-pressure dark-cutting steaks, and dark-cutting steaks without HPP. Therefore, conducting a cost/benefit analysis of improved redness (i.e., recovered retail value) associated with HPP and determining the potential return on investment for incorporating HPP into a commercial-scale packing facility will help add value to the beef industry.
Funding Source: Research coordinated by the National Cattlemen’s Beef Association, a contractor to the Beef Checkoff.
Keywords: dark-cutter, HPP, consumer, Tobii Pro.
11 Investigating the Prevalence of Red Meat Allergy in Kansas Rural Communities
Jordan T. Looper1, Sara R. Hene1, Sabrina D. Lee1, Alexandra P. Tegler1, Yoonseong Park2, Priscilla Brenes3, and Michael D. Chao1,*, 1Department of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA, 2Department of Entomology, Kansas State University, Manhattan, KS 66506, USA, 3Department of Food, Nutrition, Dietetics and Health, Kansas State University, Manhattan, KS 66506, USA *mdchao@ksu.edu
Introduction/Objectives: Alpha-gal syndrome (AGS), also known as red meat allergy, is an acquired allergic reaction to galactose-alpha-1,3-galactose (α-Gal), a carbohydrate conjugated to glycoproteins and glycolipids of nonprimate mammals. Sensitization to α-Gal occurs following a bite from the Lone Star tick (Amblyomma americanum). As a result, affected individuals experience a range of allergic symptoms, from gastrointestinal distress to potentially fatal anaphylaxis, following the consumption of mammalian products. Although the number of AGS cases in the United States has increased over the years, limited research has been conducted to determine its prevalence and public awareness at the state level. The importance of this work is exacerbated as Lone Star tick populations and species range increases. Today, states like Kansas are experiencing historically unprecedented incidence rates of AGS. Thus, the objective of this study was to gain a better understanding of AGS awareness, prevalence, and disease management through community surveys across the state of Kansas.
Materials and Methods: Three listening sessions were conducted across the state (Parson, Kansas; Salina, Kansas; and online via Zoom) to engage with local Kansas State University extension agents and build relationships for survey distribution in their service area. Incentivized paper and electronic (Qualtrics) surveys were distributed through Kansas County extension agents to local communities across Kansas (IRB-12256). Electronic survey responses were validated using CAPTCHA scores, geolocation data, and provided home addresses to ensure submissions were from individuals in the state of Kansas. The survey comprised 23 questions aimed at assessing respondents’ awareness and knowledge of AGS, their familiarity with other affected individuals, key demographic and lifestyle factors, and their interest in obtaining further information on the condition.
Results: Of the 579 surveys returned, only 165 surveys were validated from this study (28.5%). The northeastern (35.2%) and south central (32.1%) regions of Kansas had the highest response rate, closely followed by the southeast (25.5%). The southwest (1.21%) and northwestern (1.21%) regions of Kansas had the lowest response rate. Ninety-five point eight percent of respondents had heard of AGS, and 86.1% responded they were familiar with the symptoms of the allergy. More than 50% of the respondents knew AGS was associated with abdominal pain, diarrhea, hives, itching, nausea, and swelling of the lips, eyes, or face, but few respondents knew AGS patients may experience respiratory symptoms like cough, wheezing, and shortness of breath. In terms of prevalence, 80.6% of respondents said they or someone they knew have/had AGS (80.6%). Of the 553 reported AGS cases, Crawford County, followed by Montgomery County, both located in the southeastern region of the state, had the highest number of reported cases with 78 and 51, respectively, while only 1.4% were from the western regions of Kansas. Despite the large number of reported cases, only 1.8% of respondents believed there was sufficient information about AGS available, and 75.2% were interested in receiving more structured information regarding the topic.
Conclusion: The survey results reveal that many Kansans citizens either suffer from AGS themselves or know someone in their community who does. Most of the AGS cases were concentrated to the eastern half of the state, particularly in the southeastern corner. However, as climate change continues to drive the Lone Star tick’s northern and westward expansion, the number of AGS cases may continue to rise in northern and western Kansas. To further expand on this research, our group is conducting interviews with patients who have had AGS diagnosed in Kansas to better understand the challenges they face and to establish a targeted approach that may help alleviate biological, social, and economic effects of AGS.
Funding Source: Kansas State University Global Food Systems Seed Grant Program.
Keywords: Alpha-gal syndrome, survey prevalence.
12 Ice Age: Investigating the Impact of Freezing and Aging Order on the Palatability of Historically Tough Muscles
Taylor M. Dieball1,*, Greta E. Huber1, Samuel F. Stickley1, Kiersten M. Gundersen2, Kasey R. Maddock Carlin2, Morgan D. Zumbaugh1, Michael D. Chao1, Jessie L. Vipham1, Travis G. O’Quinn1, and Erin S. Beyer1, 1Kansas State University, Manhattan, KS 66506, USA, 2North Dakota State University, Fargo, ND 58105, USA *dieballt@ksu.edu
Introduction/Objectives: Beef is often aged and frozen to improve and then maintain quality. While aging improves tenderness through proteolytic degradation, freezing also improves tenderness through the formation of ice crystals. High end food services utilize aging, while keeping the product fresh to preserve tenderness. However, most of the beef in commercial supply chains is aged before freezing. In contrast, there have been studies that have shown that freezing and then aging can be a viable option as well. However, there has been little research done to determine how freezing sequence impacts consumer ratings, instrumental tenderness, or objective color readings of muscles. This study aimed to assess how freezing and aging sequences influence consumer eating experience, tenderness, and objective color readings of 3 different beef muscles.
Materials and Methods: Beef carcasses (N = 12; US Department of Agriculture choice; A maturity) were selected from a Midwest beef plant. The trimmed striploins (IMPS #180) and goosenecks (IMPS #170) were collected and transported to North Dakota State University. The striploins (LL), semitendinosus (ST), and biceps femoris (BF) were denuded and sliced into 2.5-cm steaks. Each steak was assigned to either age-then-freeze (AF) or freeze-then-age (FA) for 21 d or 28 d. All steaks were aged before or after freezing between 1°C and 4°C in the absence of light. Steaks were frozen before or after aging for 91 d at −20°C. Samples were then thawed for 24 h at refrigerated temperatures. Consumers (N = 96/aging period, N = 192 total) were fed all treatment combinations within a single aging period. Samples were cooked to a peak temperature of 71°C using a Thermapen temperature probe on a clamshell griddle. Consumers evaluated each sample based on flavor liking, juiciness, tenderness, and overall liking. Each trait was rated on a 100-point line scale, with anchors set at 0, 50, and 100, with 0 being dry, tough, and undesirable and 100 being juicy, tender, and desirable. Consumers determined the overall quality of each sample selecting from unsatisfactory, everyday quality, better than everyday quality, or premium quality. Consumer panel data were collected on electronic tablets using Qualtrics. On the following day, 1 steak from each muscle and treatment combination was evaluated for Warner-Bratzler shear force (WBSF), cook loss, purge loss, and color. Steaks were weighed in the package, opened, and weighed again to calculate purge loss. Each sample bloomed for 20 min, and a raw color reading was taken using a spectrophotometer. Steaks were cooked to a peak temperature of 71°C. After 24 h, 6 cores were taken parallel to the muscle fiber. Cores were sheared perpendicular to the fibers on the WBSF machine, and readings were recorded as average kilograms of force. Data were analyzed using SAS PROC GLIMMIX as a split–split-plot design with the whole-plot factor set as primal, subplot factor set as freezing treatment, and sub-sub plot factor set as aging period. α was set at 0.05.
Results: As a whole, the freezing treatment and aging period did not impact the tenderness, flavor, or overall liking scores for the consumer. However, there was an aging period × freezing treatment × muscle interaction (P < .05) for juiciness. The consumers rated the 28-d FA LL as the juiciest (P < .05) compared to all other treatment combinations. As expected, the tenderness scores were significant for muscle, as the LL was rated as the most tender (P < .05), followed by the ST and BF. Within flavor liking, the consumers rated the LL the highest (P < .05) for flavor liking. Similarly, consumers rated the LL the highest (P < .05) for overall liking. Additionally, the highest (P < .05) percentage of consumers rated the LL as better than everyday quality compared to the other muscles. The greatest (P < .05) percentage of consumers determined the BF was in the unacceptable quality. Supporting the consumer data, the shear force assay found the LL had the lowest shear force (P < .05) value, being the most tender, followed by the ST, and then the BF. Contradicting the consumer’s rating for juiciness, the FA samples had the greatest (P < .05) amount of purge loss (12.79%), and the LL had the lowest (P < .05) amount of purge loss (6.29%). However, the AF samples had the greatest (P < .05) amount of cook loss. Raw color was taken to indicate any impact on raw meat quality. The raw color readings indicated that there was an interaction (P < .05) for L* values, with the 21-d AF ST having the highest (P < .05) L* value. There was also an interaction in a* between the freezing treatment and muscle (P < .05), with the AF ST, having the highest a* value as the brightest, most cherry red in appearance. There was another interaction (P < .05) for oxymyoglobin, deoxymyoglobin, and metmyoglobin percentages, with the 21-d ST having the highest oxymyoglobin percentage and lowest deoxymyoglobin and metmyoglobin percentages.
Conclusion: This study found that reversing the freezing order did not impact the overall palatability of beef steaks from the loin and round. On the contrary, it led to a higher purge loss, increasing the potential for economic loss. While previous studies showed promising results reversing the freezing order, when historically tough muscles from the round were included, the positive impact on tenderness was obsolete. Therefore, reversing the sequence of freezing and aging is not a viable strategy for the industry.
Funding Source: Research coordinated by the National Cattlemen’s Beef Association, a contractor to the Beef Checkoff.
Keywords: beef, freezing, palatability, aging, consumer.
13 Impact of Consumer Storage Practices and Packaging Type on Refrigeration Shelf Life and Quality of Ground Beef Purchased From Commercial Retailers
Ashlynn Messer*, Elizabeth Neal, Benjamin Carpenter, Jerrad Legako, 1Department of Animal and Food Sciences, Texas Tech University, Lubbock, TX 79415, USA *asmesser@ttu.edu
Introduction/Objectives: The objective of this study was to evaluate the impact of consumer storage practices and packaging type on the refrigeration shelf life and quality of ground beef purchased from multiple retailers.
Materials and Methods: Eighty-one packages of 80 to 20 ground beef were purchased from 5 national and regional retailers based on packaging type availability. Packaging types included: vacuum (VAC, n = 27), polyvinyl chloride overwrap (PVC, n = 27), and modified atmosphere packaging (MAP, n = 27). To simulate consumer behavior, ground beef packages were purchased, immediately transported to Texas Tech University, and placed in a common upright refrigerator (2–4°C). Packages were assigned to 1 of 3 refrigerated storage durations including 0, 3, and 7 d, during which temperature was continuously maintained at 2°C to 4°C. At each designated duration, samples were removed from refrigeration and evaluated for descriptive visual color, instrumental color, odor attributes, and spoilage organism content. Following evaluation, samples were flash frozen and homogenized for subsequent thiobarbituric acid reactive substances (TBARS) analysis. Descriptive color was evaluated by 6 trained panelists using an 8-point scale, where 1 = very bright red and 8 = tan to brown. Discoloration was characterized as percentage in a range from 0 to 100. Instrumental color was evaluated using a HunterLab spectrophotometer to collect L*, a*, and b* values. Panelists also evaluated 4 odor attributes including overall intensity, oxidized, putrid, and sour on a scale of 0 to 100. Additionally, a 10 g portion of each sample was collected and evaluated for aerobic count (AC), Enterobacteriaceae (EB), and lactic acid bacteria (LAB) growth. Data were analyzed as a randomized block design, where packaging type, storage time, and their interaction served as fixed effects. Significance was determined at less than or equal to 0.05.
Results: An interaction of packaging type × storage duration was observed for a* values (P < .001). At 0 d of refrigeration, MAP packages exhibited the greatest a* values, followed by PVC, then VAC (P < .05). However, after 7 d of storage, while MAP maintained the most redness, VAC resulted in higher a* values than PVC packages, indicating some extent of discoloration (P < .05). There was no packaging type × storage time interactions observed for any measurement of descriptive color, odor, spoilage organisms, or TBARS (P > .05). Descriptive color assessments were impacted nonetheless by packaging type (P < .001). More specifically, MAP packages resulted in the lowest color score, indicating a brighter, more cherry-red appearance (P < .001). In terms of discoloration, the greatest percentage of discoloration was observed within the PVC packages in comparison to both VAC and MAP (P < .001). Additionally, packaging type influenced instrumental L* values, where PVC packages were considered to be the brightest, followed by VAC and MAP (P < .001). Similarly, odor was also impacted by packaging type. In greater detail, MAP packages had a greater overall intensity and were more putrid, oxidized, and sour in comparison to PVC or VAC (P < .05). Likewise, spoilage organisms were also influenced by packaging type (P < .05), where EB was the greatest among PVC packages and LAB the greatest among MAP packages. Finally, packaging type impacted TBARS values (P < .001), where the greatest concentration of malondialdehyde was observed in PVC packages, especially compared to MAP packages. Furthermore, certain analyses were also impacted by the storage time (P < .05). More specifically, descriptive color analysis values were impacted by day, where the greatest color score and percent discoloration was observed after 7 d (P < .001). This change in color throughout storage was reflected in instrumental color values, where L* was lowest at 0 d and greatest at 3 d (P < .001). Similarly, descriptive odor panels were also impacted by refrigeration time (P < .001), where packages stored for 7 d resulted in the highest score for overall intensity, oxidized, putrid, and sour. The growth of spoilage organisms was also impacted by storage time (P < 0.05), where AC, EB, and LAB were all highest after 3 d of refrigeration. Storage time had no impact on TBARS values (P > .05).
Conclusion: In conclusion, these results indicate that packaging type and storage duration independently impact the shelf life and quality of refrigerated ground beef. Thus, when making purchasing decisions at retail, consumers should give special consideration to the packaging type as well as the intended storage duration to improve the subsequent eating experience. It can be seen that ground beef purchased in MAP and stored at a consistent temperature maintains the brightest red color but has high amounts of bacterial growth and is highest in odor intensity after 7 d.
Funding Source: This study was funded by the Davis College Undergraduate Research Scholars Program at Texas Tech University.
Keywords: ground beef, quality, shelf life, refrigeration.
14 What’s the Beef With Consumer Appeal?
Kelli G. Garrett*, Stephanie L. Witberler, Greta E. Huber, Erin S. Beyer, Jessie L. Vipham, Morgan D. Zumbaugh, and Travis G. O’Quinn, Kansas State University, Manhattan, KS 66506, USA *kelli39@ksu.edu
Introduction/Objectives: Meat color is the major factor affecting consumer purchasing decisions for beef in the retail case. Consumers typically associate a bright cherry-red color with fresh high-quality products, influencing the decision to purchase. Retailers and meat processors strive to maintain this optimal color to maximize sales and meet consumer expectations. Although this preferred beef color is recognized, minimal research has been conducted that precisely defines the specific hexadecimal code (hex) consumers prefer. Establishing a standardized color reference could provide valuable insights for the meat industry, bridging the gap between consumer perception and color identity. Therefore, the objective of this study was to determine the specific color consumers most prefer as the appealing bright cherry-red beef color.
Materials and Methods: Color samples (n = 25) were developed to represent variations of beef originating from a hex that was presumed to be the ideal bright cherry-red beef color. To explore the influence of color attributes on consumer perceptions, the original hex was systematically modified by adjusting the brightness and contrast levels, resulting in a 5 × 5 grid of color. The color sample development encompassed horizontal (A, B, C, D, and E) and vertical (1, 2, 3, 4, and 5) adjustments. From the central hex, 2 successive samples were generated to the left, each incrementally darker, simulating darker red tones. Conversely, 2 samples to the right were progressively lighter, depicting paler red hues. Similarly, moving upward from the central hex, 2 samples were incrementally brightened to enhance vibrancy, while 2 samples downward from the central hex were dulled to represent muted red tones. With 9 colors creating a base, 4 additional hexes were developed based on the interaction of 2 traits. For dark, bright-red, samples A1, A2, B1, and B2 were designed. Light, bright reds were formed in samples A4, A5, B4, and B5. Dark, dull reds were created as D1, D2, E1, and E2. Lastly, light, dull reds were represented from samples D4, D5, E4, and E5. A comprehensive survey using a square sample of each color behind a black background was formed using the Qualtrics platform. Consumers (N = 192) were presented with a random selection of 10 color samples out of the 25 developed. For each sample, consumers were asked to evaluate the color as if they were purchasing beef at retail by determining their overall liking and purchasing intent. The overall liking was determined using a 100-point line scale, where 0 indicated extremely dislike and 100 signified extremely like. Also, consumers were asked if they would purchase a beef steak (yes/no) with the selected color to determine purchasing intent. To ensure consistency, the survey was conducted on electronic tablets with a constant screen brightness. Data were analyzed using SAS PROC GLIMMIX as a completely randomized design with the SLICE function to restrict comparisons within rows and columns. α was set at 0.05.
Results: For the consumer liking results, samples were compared horizontally based on darkness to lightness and vertically based on brightness to dullness. For horizontal comparisons, each row (A, B, C, D, and E) contained samples numbered 1 to 5, with each compared to the other. For row A, A2 resulted in a higher (P < .05) overall liking score compared to A1 (darkest) and A5 (lightest), being similar (P > .05) to A3 and A4. In row B, B2, B3, B4, and B5 were all scored similar (P > .05) and higher (P < .05) than B1, which was the darkest. Similarly, for row C, C3 was rated higher (P < .05) than C1 (darkest) and C5 (lightest), while being similar (P > .05) to C2 and C4. As the hexes became duller than C, the consumers shifted their overall liking scores to favor the lighter hexes. In row D, the consumers rated D3 and D4 higher (P < .05) than D1 and D2, which were the 2 darkest hexes. Following the same trend for row E, E3, E4, and E5 were all rated higher (P < .05) than the darkest hexes of E1 and E2. Additionally, the color samples were analyzed vertically, comparing brightness to dullness within columns 1, 2, 3, 4, and 5. In column 1, the darkest column, consumers preferred A1, the brightest hex (P < .05), and decreased in liking descending to E1 (dullest). Similarly, column 2 displayed the same behavior of consumers favoring (P < .05) the brightest hex and decreasing liking down the column. For column 3, A3, B3, C3, and D3 were all rated higher (P < .05) than E3 (dullest). In the lighter colored column 4, consumers preferred brighter hexes over duller hexes. The brighter shades of A4, B4, and C4 were similar (P > .05) and all preferred (P < .05) over the duller hexes of D4 and E4. In column 5, B5 was rated higher (P < .05) than A5 (brightest), D5, and E5 (dullest), with C5 being similar (P > .05). The consumer purchasing intent results demonstrated similar findings as the consumer liking results.
Conclusion: For both consumer liking and purchasing intent scores, consumers favored the moderately light and bright hexes over the dark hexes regardless of brightness. However, as the hexes became duller, the consumers became even more critical of the darker hexes. The assumed descriptor of bright cherry-red beef preferred by consumers was identified as brighter colored (#C10100) beef that was moderate in darkness with extremes in lightness and especially darkness not being desirable to consumers.
Funding Source: Kansas State University.
Keywords: color, beef, retail, hex, consumer.
15 Determining the Ability of Consumers to Correctly Identify Ranges of Color and Marbling in Photos of Pork Loin Chops
Caroline J. Gill*, Jenna M. Girman, Bailey N. Harsh, and Anna C. Dilger, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA *cjgill3@illinois.edu
Introduction/Objectives: While consumers make purchasing decisions for fresh pork loin chops based on many factors, visual appearances including color and marbling are thought to be important cues. However, the ability of consumers to differentiate between pork chops based on color traits or the amount of marbling is not clearly understood. The present study investigates consumer ability to correctly identify and order differences in objective and subjective color traits and in marbling of fresh pork loin chops.
Materials and Methods: Loin chops were evaluated for objective (L*, a*, b*) and subjective (National Pork Producers Council [NPPC]) visual color and scored for marbling (NPPC). They were then photographed using an iPhone camera (Apple, Cupertino, CA) on a consistent background. Chops were selected to represent a range of each trait while holding the other traits constant, resulting in 6 sets of loin chops. Photos were printed in color on glossy photo paper (DNP IAM, Mount Pleasant, PA) creating 6 card sets, 1 for each trait. For NPPC color, scores ranged from 2 to 5. For objective color, L* ranged from 42 to 56, a* from 4 to 11, and b* from 1.5 to 8. In each color set, there were 2 anchor cards representing the extremes for each trait and then 5 cards in between. Marbling was presented either in chops having lighter color (NPPC color scores 2.5–3) or darker color (NPPC color scores 4.5–5), with marbling scores ranging from 1 to 5. Each set contained 2 anchor cards representing the extremes for each trait and then 7 cards in between. Consumers (N = 137) were recruited from the greater Champaign-Urbana area. About 64% of consumers were female and the majority of consumers were Caucasian. A range of ages were present in the consumer sample. For each set of cards, consumers were asked to sort photos of chops between the 2 anchor points for each deck. Responses were recorded and scored out of 100 points, where each “pair switch” deducted 2.5 points from the consumer’s total score. Mean scores were calculated overall for each card set (trait) as well as by age groups and gender. Because the scores were not normal, nonparametric testing was utilized to determine significance without the assumption of normality. Differences in means were evaluated using the Kruskal–Wallace test in R Studio. Post-hoc testing using Dunn’s test was performed to determine within group differences. Significance was determined at a P value of less than .05.
Results: Consumers were more able to correctly order (P < .05) card sets (greater scores) that represented a range of lightness (L*) and NPPC visual color values compared with those that represented ranges in yellowness (b*) and redness (a*). Scores were the least (P < .05) among color set cards for a*. Between marbling sets, consumers scores were greater (P < .05) for marbling ranges in the light-colored set compared with the dark colored set. The ability to sort color or marbling card sets was not affected by consumer gender or age (P > .05).
Conclusion: The data suggest that consumers more easily detected changes in lightness (L*) and NPPC color compared with other color traits. Surprisingly, consumers were the least able to sort cards correctly based on redness differences. Also, consumers were better at correctly ordering marbling differences when chops were lighter in color.
Keywords: pork, color, consumer, marbling.
Environment, Production Systems
16 Yucca schidigera and Quillaja saponaria: A Natural Approach to Mitigating Greenhouse Gas Emissions
María Camila Duarte1,*, Matt Garner2, Clinton J. Roof1, and Alexandra Calle1, 1School of Veterinary Medicine, Texas Tech University, Amarillo, TX 79106, USA, 2Vvntus Lab LLC, Amarillo, TX 79101, USA *mariadua@ttu.edu
Introduction/Objectives: Methane emissions from ruminant livestock represent an environmental concern, as they contribute to greenhouse gas emissions and climate change. Thus, enteric methane reduction should be a critical goal for sustainable livestock systems. Dietary interventions using plant-derived compounds have gained attention among various mitigation strategies due to their potential to modify rumen fermentation. Yucca schidigera (YS), a plant native to arid regions of North America, and Quillaja saponaria (QS), derived from the bark of a South American soapbark tree, both contain saponins, which may contribute to methane emissions reduction by altering microbial populations, inhibiting methanogens, or modifying fermentation pathways. However, their methane-reducing potential remains unclear, as their effects can vary depending on concentration, microbial community, and overall diet. This study aimed to assess in vitro the methane-reducing potential of YS and QS and provide insights into their role in sustainable feeding strategies for ruminants.
Materials and Methods: The effects of YS and QS on methane production were assessed separately using the Automatic Methane Potential Test System (AMPTS III), an automated system designed to measure real-time biogas production under anaerobic conditions, simulating rumen fermentation processes. Fresh rumen fluid was collected and used to inoculate anaerobic reactors. All reactors contained a base solution composed of rumen fluid, McDougall’s buffer, and glucose. Four concentrations of either YS or QS (0.05%, 0.1%, 0.5%, and 1%) were tested alongside positive (base solution with cellulose instead of glucose) and negative (rumen fluid and buffer only) controls. Samples in the AMPTS III were incubated at 37°C for 48 h. Gas production was continuously monitored, and methane was quantified. Each treatment was tested in triplicate. A 3-way analysis of variance (ANOVA) was performed to assess the effects of treatment, concentration, and time, with post-hoc Tukey’s tests for multiple comparisons. Statistical significance was set at a P value of less than .05. Although the AMPTS III system continuously monitors gas production, data were exported as cumulative daily methane values (24 h and 48 h). Time was treated as a fixed factor with 2 levels in the model.
Results: Overall, both products demonstrated a methane reduction with efficacy variations observed between the type of treatment and concentration. Significant differences were observed between YS and QS at all concentrations, with YS consistently achieving greater methane reduction (P < .05). At both 24 h and 48 h, all YS concentrations resulted in significantly lower methane levels compared to the positive control (P < .05). YS at 0.05% was the most effective, reducing methane by 49.9%. Although the 1% YS concentration also significantly reduced methane compared to the positive control (P < .05), 0.05% was significantly more effective at both timepoints. In contrast, for QS, only the 0.1% concentration showed a significant reduction at 24 h (P < .05), reducing methane by 17.6%. At 48 h, all concentrations, except 1%, significantly reduced methane compared to the positive control (P < .05). The 1% QS concentration neither outperformed 0.1% QS nor significantly reduced methane at 48 h (P > .05). The 3-way ANOVA showed a concentration-dependent response, indicating that the effects of YS and QS on methane reduction varied significantly with treatment, concentration, and time.
Conclusion: This study highlights the potential of YS and QS extracts as methane mitigation strategies in ruminant systems. The effectiveness of these plant-derived additives varied by concentration, with YS demonstrating consistently higher efficacy. These findings suggest that targeted supplementation with specific concentrations could optimize methane reduction. Integrating these extracts into cattle systems may reduce livestock’s environmental footprint while supporting sustainability and profitability. In vivo experiments are needed to demonstrate effectiveness in live systems.
Funding Source: This work was partially supported by Vvntus Lab LLC.
Keywords: methane, Yucca schidigera, Quillaja saponaria, sustainable systems.
17 Finishing Location Influences Carcass Characteristics, Meat Quality, and Terroir of Grass-Finished Bison Bulls
Garrett T. Weldy1,*, M. Sebastain Hernandez2, Christina E. Bakker1, Judson K. Grubbs1, Keith R. Underwood1, Carter Kruse3, Jerrad F. Legako2, and Amanda D. Blair1, 1Department of Animal Science, South Dakota State University, Brookings, SD 57007, USA, 2Department of Animal and Food Sciences, Texas Tech University, Lubbock, TX 79415, USA, 3Turner Institute of Ecoagriculture, Bozeman, MT 59718, USA *19gweldy@gmail.com
Introduction/Objectives: Approximately 70,000 bison were harvested in the United States in 2024. Bison bulls account for roughly 52% of the slaughter mix, and an estimated 32% of all bison are grass finished. Most bison are raised and finished across the vast landscape of the Great Plains, which is an approximately 2.9 million km2 grassland composed of diverse ecosystems that vary in climate, terrain, rainfall, forage species, and micronutrient deposits. Research on other species indicates that both environment and diet composition can impact carcass characteristics and the terroir of meat. Terroir refers to the unique flavors and characteristics imparted to meat from the environment. However, studies investigating how variation in the grazing environment impacts carcass characteristics and meat quality outcomes of bison are limited. Therefore, the objective of this study was to determine the influence of finishing location on carcass characteristics, meat quality, and terroir of grass-finished bison bulls.
Materials and Methods: Bison bulls from a common source herd were grass finished in 3 geographically distinct locations of the Great Plains (n = 45 bulls/location): 1) Kansas (KS), 2) Nebraska (NE), or 3) Montana (MT). At approximately 30 mo of age, bulls were separated from their respective breeding herds and allowed to graze on native rangeland common to their geography for the finishing period (∼7 mo). The final live weight was recorded prior to slaughter, and bulls were slaughtered at approximately 37 mo of age. Hot-carcass weight (HCW), objective color (L*, a*, b*) of the 12th rib backfat and exposed surface of the ribeye, marbling score, ribeye area (REA), and backfat thickness were recorded following carcass chilling. Striploins were collected from a subsample (n = 30 carcasses closest to the average HCW of each treatment). Ultimate pH was measured at the posterior end of each striploin using a handheld pH meter. Striploins were fabricated into steaks (2.5-cm thick), which were vacuum packaged and aged for 14 d for analysis of objective tenderness, cook loss, sensory characteristics, and proximate composition. Steaks allocated for evaluation of objective tenderness using Warner-Bratzler shear force (WBSF) were weighed before and after cooking to calculate cook loss. Steaks allocated for sensory evaluation were evaluated by a trained sensory panel for subjective tenderness and flavor attributes. Subjective tenderness attributes include juiciness, muscle fiber tenderness, and connective tissue content. Subjective flavor attributes include bison identity, brown/roasted, fat-like, bloody/serum, metallic, liver-like, cardboard, bitter, salty, sour, sweet, umami, musty/earthy, green/hay-like, barnyard, animal hair, sour aromatic, and overall sweet. Steaks allocated for analysis of proximate composition were snap frozen in liquid nitrogen, powdered, and evaluated for percentage crude fat, crude protein, moisture, and ash. Carcass measurements, ultimate pH, subjective flavor attributes, and proximate analysis were analyzed with finishing location as a fixed effect using the GLIMMIX procedure of SAS. Subjective tenderness attributes, WBSF, and cook loss were analyzed with finishing location as a fixed effect and peak temperature included as a covariate using the GLIMMIX procedure of SAS.
Results: Overall, there were limited differences in carcass characteristics and meat quality attributes between the bison raised in MT and NE. However, bison from KS produced carcasses with lighter (P < .05) HCW compared to MT and NE and had a lower (P < .05) dressing percentage in contrast to MT bison. Dressing percentage of KS and NE bison did not differ (P > .05). Additionally, KS bison produced carcasses with lower (P < .05) marbling scores than the other 2 locations; however, backfat thickness did not differ (P > .05) among finishing locations. Carcasses from NE had larger (P < .05) REA than MT and KS, which were similar (P > .05). Carcasses from KS had higher (P < .05) L* (lighter) and lower (P < .05) a* (less red) values of the ribeye compared to NE or MT bison. Furthermore, KS carcasses had lower (P < .05) a* (less red) and lower (P < .05) b* (less yellow) values of the backfat compared to MT and NE bison. Finishing location did not influence (P > .05) the ultimate pH. Steaks from KS bison had increased (P < .05) WBSF, indicating a tougher product, while MT and NE steaks did not differ (P > .05) for WBSF. Cook loss did not differ (P > .05) among finishing locations. Trained sensory evaluation of juiciness, muscle fiber tenderness, and connective tissue did not differ (P > .05) among treatments. Panelists rated steaks from NE and MT higher (P < .05) for bison identity than steaks from KS. Panelists detected less (P < .05) liver-like flavor in steaks from KS and MT compared to NE. Steaks from MT had less (P < .05) sour aromatic flavor compared to NE, while KS was intermediate and did not differ (P > .05) from the other finishing locations. No differences (P > .05) were observed for any other subjective flavor attributes evaluated. Finishing location had no effect (P > .05) on the percentage of crude protein or moisture. However, steaks from MT had a greater (P < .05) percentage of crude fat than steaks from NE and KS, and steaks from KS had a greater (P < .05) percentage of ash than steaks from bison finished in the other 2 locations.
Conclusion: These data indicate that environmental differences among finishing locations can influence carcass characteristics and meat quality attributes of grass-finished bison bulls. Bulls finished in KS produced lighter carcasses, with less marbling, and were objectively less tender than bison finished in MT and NE. However, no differences were observed for subjective sensory scores for juiciness or tenderness, indicating the differences in objective tenderness may not have been extreme enough to be detectable by trained sensory panelists. The differences observed in select flavor attributes could be highlighted to promote subtle changes in terroir imparted by these regions. These findings indicate that the finishing environment contributes to differences in carcass composition, meat quality, and terroir, which can inform management and marketing strategies aimed at consumers seeking unique protein sources such as bison.
Funding Source: This research was supported by state and federal funds appropriated to South Dakota State University, including support from the South Dakota State University Agriculture Experiment Station, US Department of Agriculture’s National Institute of Food and Agriculture through the Hatch Act (accession #7008365), and by the Turner Institute of Ecoagriculture.
Keywords: bison, carcass, location, terroir, grass finished.
18 Targeting Heat Stress-Induced Inflammation With ω-3 Polyunsaturated Fatty Acid-Ca2+ Salts Partially Improved Growth Efficiency and Muscle Composition in Finishing Wethers
Shelley A. Curry*, Melanie R. White, Ashley A. Hahn, Ty B. Schmidt, and Dustin T. Yates, University of Nebraska–Lincoln, Lincoln, NE 68588, USA *scurry4@huskers.unl.edu
Introduction/Objectives: Chronic heat stress induces systemic inflammation, which appears to play a key underlying role in poor muscle growth, feed efficiency, and body composition in finishing livestock. High adiposity near the end of the finishing period is an additional source of inflammation that may compound the effects of heat stress. Omega-3 polyunsaturated fatty acids (ω-3 PUFA) are bioactive nutrients with well-established anti-inflammatory properties. Thus, the objective of this study was to determine if targeting heat stress-induced inflammation with daily dietary supplementation of ω-3 PUFA would improve body composition and muscle characteristics in finishing wether lambs with high body fat.
Materials and Methods: Commercial Rambouillet-cross wether lambs (53.3 ± 0.4 kg) with high adiposity (≥5 mm ultrasonography-estimated backfat thickness) or normal adiposity (<5 mm ultrasonography-estimated backfat thickness) were fed ad libitum grower/finisher diets under heat stress (40°C, 35% relative humidity) or pair-fed under thermoneutral conditions (19°C, 15% relative humidity) for 21 d. Additionally, high-adiposity heat-stressed wethers were randomly assigned to receive 0 g/kg or 0.42 g/kg of an ω-3 PUFA Ca2+ salt supplement (STRATA, Virtus Nutrition). Thus, 5 groups of wethers were studied: 1) lean controls (n = 8), 2) high-adiposity controls (n = 8), 3) lean heat-stressed wethers (n = 8), 4) high-adiposity heat-stressed wethers (n = 8), and 5) ω-3 PUFA-supplemented high-adiposity heat-stressed wethers (n = 7). Wethers were weighed on days −1 and 21 of the study. Body composition was estimated in the live animals by bioelectrical impedance analysis (BIA) on days −1 and 21 of the study and in the carcass just after humane euthanasia on day 22. At necropsy, empty bodyweights were recorded following removal of the digestive tract. Biceps femoris, semitendinosus, flexor digitorum superficialis, soleus, gastrocnemius, and Longissimus dorsi muscles were weighed, as were the kidneys, spleen, liver, lungs, and heart. Proximate analyses were performed on the Longissimus dorsi muscle. Data were analyzed by analysis of variance using the MIXED procedure of SAS 9.4 (SAS Institute, Cary, NC). Day was considered a repeated measure for bodyweights and BIA measurements. Significance was determined at a P value of less than or equal to .05, and tendencies were noted when the P value was less than or equal to .10.
Results: Bodyweight did not differ among groups on day −1 or 21. Empty bodyweight did not differ between lean controls and lean heat-stressed wethers but tended to be greater (P = .06) for high-adiposity controls, high-adiposity heat-stressed wethers, and ω-3 PUFA-supplemented high-adiposity heat-stressed wethers than for lean controls. BIA-estimated fat-free soft tissue was less (P < .05) for lean heat-stressed wethers and high-adiposity controls than for lean controls. BIA-estimated fat-free soft tissue did not differ between unsupplemented and ω-3 PUFA-supplemented high-adiposity heat-stressed wethers, but BIA-estimated fat-free mass was greater (P < .05) with ω-3 PUFA supplementation. BIA-estimated mass of the combined leg, sirloin, loin, rack, shoulder, neck, riblets, shank, and lean trim was greater (P < .05) in lean controls than all other groups, except lean heat-stressed wethers. Organ weights did not differ among groups. Semitendinosus muscles were heavier (P < .05) for ω-3 PUFA-supplemented heat-stressed wethers than for all other groups. Similarly, semitendinosus weight/bodyweight and semitendinosus weight/empty bodyweight tended to be greater (P < .09) for ω-3 PUFA-supplemented high-adiposity heat-stressed wethers than unsupplemented high-adiposity heat-stressed wethers. Gastrocnemius weight/empty bodyweight and flexor digitorum superficialis weight/empty bodyweight were less (P < .05) for high-adiposity controls than for lean controls but did not differ between high-adiposity heat-stressed and lean heat-stressed wethers. Longissimus dorsi tended to be lighter (P < .05) for lean heat-stressed wethers than lean controls. Fat-to-protein ratios were lower (P < .05) in supplemented wethers compared to untreated groups, with greater protein content and reduced fat percentage (P < .05) with intervention. Longissimus dorsi protein content tended to be greater (P = .09), fat content was less (P < .05), and fat-to-protein ratio was less (P < .05) for ω-3 PUFA-supplemented high-adiposity heat-stressed wethers than for all other groups.
Conclusion: These findings demonstrate that heat stress and high adiposity impaired growth in some but not all muscles. Likewise, targeting systemic inflammation with daily dietary supplementation of ω-3 PUFA mitigated some but not all of these deficits, indicating that systemic inflammation contributes to the poor outcomes of heat stress but does not account for all deficits. Consequently, we conclude that systemic inflammation is an effective but not exclusive mechanistic target for intervention strategies to improve growth efficiency and body composition in heat-stressed livestock.
Funding Source: This research was supported by a US Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA) foundational grant (accession number 1032421), by the Nebraska Agricultural Experiment Station with funding from the Hatch-Multistate Research capacity funding program (accession numbers 1011055, 1011126) through USDA NIFA.
Keywords: hyperthermia, feedlot sheep, ω-3 PUFA, skeletal-muscle composition.
19 Effects of Chronic Heat Stress Mitigation on Finishing Beef Performance, Blood Cortisol, Microbiome, and Carcass Measures in the Southeastern United States
Clint T. Lee*, Christina B. Welch, Dewey H. Thomas, Cameron C. Catrett, Muhammad J. Nawaz, Jordan N. Proctor, and Alexander M. Stelzleni, University of Georgia, Athens, GA 30602, USA *ctl23051@uga.edu
Introduction/Objectives: Cattle experiencing heat stress are a growing problem in the United States. Research on finishing beef cattle has focused on acute heat events; however, in the southeastern United States and other subtropical areas, livestock experience elevated heat load indices for extended periods contributing to chronic heat stress environments. Physiologic effects on productivity from heat stress can be economically devastating to livestock production systems; however, modification of the physical environment, such as improved cooling facilities, adequate shade, and nutritional management, can help alleviate the physical and physiologic impacts of heat stress. The objective of this study was to evaluate the impact of a chronic heat stress environment on animal performance, microbiome composition, blood parameters, and carcass data for beef cattle in a southeastern finishing operation. Additionally, the study aimed to assess the effectiveness of heat stress mitigation strategies, including barns, covered shelters, and fans, in improving cattle performance in feedlot settings.
Materials and Methods: Sixty Angus crossbred beef steers (374 ± 57 kg, 14–16 mo of age) from the University of Georgia (UGA) Beef Research Unit herd were blocked by weight and previous research treatment into 4 groups (n = 15). Steers within each block were randomly assigned 1 of 4 treatments: covered with fans (CWF), covered without fans (CNF), outside lot with shade (SHD), and outside lot without shade (OUT). All steers were fed, ad libitum, a total mixed finishing ration utilizing electronic feed bunks (C-Lock; Rapid City, SD) to record intake. Weight was recorded for steers on days −22, 0, 21, 42, 63, 84, and weekly thereafter until targeted terminal weight (545.5 kg) was reached. A subset of 10 steers per treatment, closest to the treatment slaughter average weight, had blood serum collected for cortisol testing on days −22, 0, 1, 3, 7, and 21. Fecal samples were collected from all steers on days −22, 0, 21, 42, 63, and 84, placed into a sterile 15-mL conical tube, flash frozen, and transferred on dry ice to a −80°C freezer. DNA was extracted from fecal samples on a subset of 12 steers per treatment and transported to Kelly Products Inc. LLC (Covington, GA) for 16S ribosomal ribonucleic acid gene sequencing. Sequencing data were demultiplexed and processed in QIIME 2, using a pretrained Naïve Bayes classifier with the SILVA assigned taxonomies with reads classified by the taxon using the fitted classifier. Once a treatment averaged the targeted finishing weight, the steers were transported (72.3 km) to the UGA Meat Science and Technology Center for slaughter under federal inspection. Twenty-four hours postmortem, carcasses were ribbed (12–13 rib juncture). Following a 30-min bloom, data were recorded for yield (hot-carcass weight, ribeye area [REA], 12th rib backfat thickness, and kidney, pelvic, heart fat) and quality (marbling score and overall maturity) determinants. Data were analyzed as a completely randomized block design utilizing Proc-MIXED (SAS, V9.4). Finishing environment and day were fixed effects, and steer within finishing environment was the random term. Means were separated using the Tukey adjustment in the PDIFF option of LSMEANS at less than or equal to 0.05.
Results: Steer weights were not different at the start of the feeding period (day 0; P > 1.0). Throughout the finishing period, treatment weights increased (P ≤ .02) within treatment and were similar within a weigh date (P > .07). However, SHD and OUT steers did not gain as much in each 21-d period and remained similar to CWF and CNF steers from the prior 21-d period. Although day 84 weights were not different (P ≥ .40) among treatments, CWF steers reached target weight first (90 d), followed by CNF, SHD, and OUT (97 d, 104 d, 111 d, respectively). There was a treatment × period interaction for average daily gain (ADG; P < .01), but no treatment or period main effect (P > .40). During period 1, CWF had greater ADG than SHD and OUT (P < .03), but, throughout period 2, CNF had greater ADG than CWF, SHD, and OUT (P < .03). During period 3, CWF and SHD exhibited similar ADG (P = .99) and gained more per day than CNF and OUT (P < .02). From day 63 to 84, OUT had greater ADG than CWF (P = .04), but all other treatment combinations did not differ (P > .07). There was no treatment × day interaction for cortisol concentration (P > .06), and the finishing environment did not impact levels (P = .92). There was a day main effect on serum cortisol concentration levels (P = .01); however, after Tukey adjustments, there were no differences. There was no treatment × day interaction (P > .08) or finishing environment main effect (P > .08) for any components of α diversity. However, days on feed impacted all components (P < .01). Observed features were greater on day −22 than all other days (P > .01), and day 0 was greater than day 21 and day 42 (P < .01). Evenness was similar from day −22 to day 0 (P = .84), but day −22 and day 0 were greater than all other days (P < .01). Afterward, day 21 was less than day 63 and day 84 (P < .01), and day 42 was less than day 63 and day 84. The Shannon index and Faith’s phylogenetic diversity followed similar trends as the observed features and evenness, where values decreased as steers were on feed from day −22 to day 0 or day 21 and then increased. No differences were found for traits related to carcass yield or quality (P > .05), except the OUT steers exhibited greater REA (P = .05) than SHD steers.
Conclusion: Although there were no differences in steer weights within feeding periods, exposed steers took 14 d and 21 d longer to reach target weight. Steers in mitigated environments had greater ADG in the first 2 periods, while OUT steers improved ADG later in the finishing period (September), which could be a compensatory response to lower heat load indices. Serum cortisol was not different in the current study and was not a good indicator chronic heat stress. α diversity was greater during the pretrial period, as cattle were on a forage-based diet. When switched to a concentrate-based diet, diversity was decreased but regulated over time back to prior levels. Confirming prior feeding trials on chronic heat stress, there were no differences comparing the carcass yield and quality measure across finishing environments. Additional studies are needed to obtain greater understanding of physiologic indicators and response to chronic heat stress in finishing cattle.
Funding Source: Georgia Agricultural Commodity Commission for Beef.
Keywords: heat stress, microbiome, feedlot, beef.
Meat and Poultry Processing, Ingredient Technology and Packaging
20 Reducing Escherichia coli O157:H7 and Salmonella spp. in Ground Beef With Natural Antimicrobials
Monica Morales*, Brayan Montoya-Torres, Ariana D. Roldan, Markus Miller, and Mindy M. Brashears, International Center for Food Industry Excellence, Department of Animal and Food Sciences, Texas Tech University, Lubbock, TX 79409, USA *monica.s.morales@ttu.edu
Introduction/Objectives: Recent studies highlight the potential of natural antimicrobials, including plant-based compounds and organic acids, to reduce pathogens in beef products and meet consumer demand for cleaner labels. One such intervention, based on citric and hydrochloric acids, demonstrated effectiveness against Salmonella and Shiga toxin-producing Escherichia coli when applied to beef trimmings. Building on this, this study evaluated a cinnamon-based antimicrobial formulated as a water-based solution at 5%, 7.5%, and 10% concentrations in chilled beef trimmings inoculated with Salmonella (Enteritidis, Newport, Typhimurium) and E. coli O157:H7. Treatments were applied at ambient temperature using an agitating mixer to ensure full surface contact. Ground beef (80% lean) was stored in a retail display case at 4°C for 3 d to assess antimicrobial efficacy and potential residual effects. E. coli O157:H7 was prioritized based on Food Safety Inspection Service policy regarding adulterant serogroups. Results aim to support the application of sustainable antimicrobial strategies to enhance ground beef safety without compromising product quality.
Materials and Methods: This study evaluated the efficacy of antimicrobial treatments against Salmonella spp. and E. coli O157:H7 in beef trimmings and the resulting ground beef. Vacuum-sealed beef trimmings, confirmed negative for these pathogens, were sourced from Raider Red Meats and portioned into 50-g cubes at the Food Microbiology Laboratory at Texas Tech University. The study targeted E. coli O157:H7 due to its low infectious dose and serious health implications, and 3 Salmonella enterica serovars—Typhimurium, Newport, and Enteritidis—commonly linked to beef-related outbreaks in the United States. These strains (American Type Culture Collection references) were revived from frozen storage, cultured in brain heart infusion broth, and combined to prepare pathogen cocktails. Final concentrations were verified via plating on selective agars. Each 50-g beef cube was aseptically inoculated with 250 μL of the respective cocktail, massaged for even distribution, and held for 10 min at 25°C. Treatments were applied using a simulated agitating system with immersion at ambient temperature to ensure full surface contact. Following treatment (≤60 s), samples were ground, portioned into 400 g, packaged, and displayed in a refrigerated case simulating retail condition. Samples were collected on day 0, 1, and 3 posttreatments. From each, 10 g were homogenized in buffered peptone water and serially diluted. Enumeration was performed using XLT-4 for Salmonella and Sorbitol-MacConkey agar for E. coli O157:H7. Colonies were identified based on morphology, and counts expressed as Log10 CFU/g. Data analysis included 3 biological replicates for 5 treatments: control, water, 5%, 7.5%, and 10%. Initially, linear regression assessed trends over time, but no significant changes were observed. Therefore, a 1-way analysis of variance (ANOVA; P < .05) followed by Tukey’s Honestly Significant Difference test was used to evaluate differences among treatments.
Results: Initial E. coli O157:H7 counts in the control and water-treated samples exceeded 8.0 Log10 CFU/g. While the water treatment showed a slight reduction over time, it was not statistically significant (P > .05). Significant reductions were observed on day 0 for all cinnamon-based treatments: 1.34 log (5%), 1.30 log (7.5%), and 1.64 log (10%) (P < .05). These reductions remained evident on day 1, with the 10% and 5% treatments achieving 2.04 and 1.31 Log10 CFU/g reductions, respectively. By day 3, the reductions were still significant, although slightly lower. Across all days, the 10% treatment consistently resulted in the greatest reduction. Despite some variability, all antimicrobial treatments performed significantly better than the control and water. Since reductions occurred mainly on day 0 and did not significantly improve over time, the time factor was removed from the statistical model. The ANOVA results confirmed significant differences among treatments (P < .001), and pairwise comparisons showed all treatments were statistically different from the control and water (P < .002). No residual antimicrobial effect was observed beyond the initial application, and there was no pathogen recovery over the 3-d period. These findings suggest the cinnamon-based antimicrobial is effective when applied to beef trimmings before grinding. In the case of Salmonella, no significant differences were observed between control and water treatments, confirming that pathogen reduction was not due to mechanical rinsing. Initial counts for the control were around 8.84 Log10 CFU/g, while the water treatment showed minimal change. Significant reductions were noted for the 5%, 7.5%, and 10% treatments, particularly on day 0, with reductions of 1.23, 1.11, and 1.54 Log10 CFU/g, respectively (P < .05). Similar reductions persisted through day 3, with the 10% treatment maintaining the highest efficacy. Again, due to the absence of significant reductions over time within each treatment, the time factor was excluded. The ANOVA confirmed significant differences (P = .0039), supporting the antimicrobial’s effectiveness. The reductions were attributed to the active ingredient rather than physical removal by water, demonstrating its potential as a viable intervention to control Salmonella in ground beef. Together, the findings support the use of this cinnamon-based treatment as a practical, natural antimicrobial intervention in beef processing, with consistent effectiveness against both E. coli O157:H7 and Salmonella spp.
Conclusion: This study demonstrated that a cinnamon-based natural antimicrobial effectively reduced E. coli O157:H7 and Salmonella in ground beef immediately after application. Treatments at 5%, 7.5%, and 10% concentrations all showed significant reductions, with the 10% being the most effective. These results support its potential as a practical intervention in meat processing. The findings align with previous research emphasizing the value of natural antimicrobials in replacing synthetic preservatives, contributing to cleaner-label food production. While no residual antimicrobial effect was observed, this does not diminish its relevance. Instead, it confirms the treatment’s role as an immediate pathogen reduction strategy, particularly before retail distribution. Given that cold storage and other controls remain essential, the application of this antimicrobial can be seen as a complementary safety measure. Overall, the treatment offers a promising solution to enhance ground beef safety, meeting both consumer demand for natural products and industry needs for effective microbial control.
Funding Source: International Center for Food Industry Excellence, Texas Tech University.
Keywords: ground beef, natural antimicrobial, safety.
21 Impact of L-Arginine Concentration on the Growth of Clostridium sporogenes in Restructured Hams
Laura Reiling*, Mansour Alnajrani, Gage Walsh, Sapna Dass, and Wesley N. Osburn, Department of Animal Science, Texas A&M University, College Station, TX 77843, USA *lreiling35@gmail.com
Introduction/Objectives: Regulatory bodies in the United States have proposed changes to the labeling regulations of naturally cured processed meat products to prohibit the phrases “uncured” or “no nitrate or nitrite added.” As such, interest in alternative curing systems without the addition of nitrite has grown. However, given that nitrite functions as an antimicrobial agent against Clostridium botulinum and Clostridium perfringens, the removal of nitrite/nitrate from curing systems raises food safety concerns. Therefore, the objective of this study was to determine how the generation of nitric oxide (NO) from the endothelial NO synthase system with varying L-arginine concentrations impacts the growth and recovery of Clostridium sporogenes, a surrogate organism for C. botulinum, in restructured hams.
Materials and Methods: Restructured hams were manufactured utilizing pork sirloin muscle and a 20% brine composed of salt (9%), sugar (5.75%), sodium tripolyphosphate (1.75%), sodium erythorbate (0.547 ppm), and L-arginine-hydrochloric acid at concentrations of 1000 ppm to 5000 ppm or a sodium nitrite control (200 ppm) as the curing agent. The hams were inoculated with C. sporogenes, as a surrogate organism for C. botulinum, prior to cooking the treatment and control hams to 71.1°C and chilling to 4°C. Hams were vacuum packaged and stored under refrigeration (4.4°C) and subsequently analyzed on days 1, 28, and 56 of storage for water activity, pH, and bacterial growth on both Clostridium isolation agar (CIA) and tryptic soy agar (TSA). An analysis of variance (ANOVA) and Tukey’s Honestly Significant Difference test were run to determine if a significant difference was present for water activity and cooked pH values. A χ2 test for independence was run to determine if a significant association between 2 categorical variables existed (L-arginine concentration, day, thermal processing, ingredient, growth percentage).
Results: Although growth was observed in some samples, the number of colonies was insufficient to meet the criteria for countable plates (25–250 CFU/plate) and thus could not be reliably quantified. Results showed a significant association (P < .05) between storage day and the percentage of CIA and TSA plates with growth in the cooked L-arginine-treated samples. Still, they showed similar growth percentages to the nitrite control. To determine if a significant association between cure ingredients existed, L-arginine-treated samples and the nitrite control were analyzed together. No significant association (P > 0.05) was detected between the cooked L-arginine-treated hams and the nitrite control in either medium (CIA or TSA), therefore suggesting that L-arginine and nitrite were comparable in preventing bacterial growth. No significant association (P > .05) between L-arginine concentrations and bacterial growth percentage was observed in either medium (CIA or TSA). However, 1000 ppm to 3000 ppm had a slightly higher percentage of plates with no growth (83%), compared to 4000 ppm and 5000 ppm (68%), suggesting that these lower concentrations are sufficient for preventing bacterial growth. While growth was observed in the cooked ham samples on CIA media, bacterial morphology did not match the morphology of the pure C. sporogenes strain or the raw ham samples. Sequencing results revealed that the microorganisms growing were Carnobacterium maltaromaticum, an anaerobic lactic acid bacterium commonly found in meat.
Conclusion: This suggests that L-arginine concentrations of 1000 ppm to 3000 ppm are adequate to prevent the growth of C. sporogenes on CIA plates. While growth was observed on the cooked ham CIA samples, DNA sequencing revealed that it was not Clostridial growth but was the bacterium C. maltaromaticum. Additionally, no antimicrobials were added to any treatment or control hams. Therefore, we conclude that at least 1000 ppm L-arginine concentration is comparable to the nitrite control (200 ppm) in inhibiting the growth of C. sporogenes in restructured hams thermally processed to 71.1°C, held up to 56 d of vacuum-packaged, refrigerated storage.
Funding Source: US Department of Agriculture, National Institute of Food and Agriculture’s Agriculture and Food Research Initiative grant number 2021-09606.
Keywords: endothelial NOS, L-arginine, Clostridium.
22 L-Arginine Concentration, Curing Method, and Location Impact on Endothelial Nitric Oxide Enzyme in Pork Bacon
Gage Walsh*, Tanner Wright, Mansour Alnajrani, Nicholas Broz, Augustus Harrison, Arlie Reeves, Laura Reiling, and Wesley N. Osburn, Department of Animal Sciences, Texas A&M University, College Station, TX 77843, USA *grw1375@tamu.edu
Introduction/Objectives: This study aimed to evaluate the effects of different L-arginine concentrations, curing methods, and anatomical pork belly locations on the efficiency of endothelial nitric oxide synthase (eNOS) in pork bacon manufacturing. Specifically, the research sought to determine whether eNOS could be an effective alternative curing system by generating nitric oxide (NO), which contributes to the cured meat characteristics typically provided by nitrite.
Materials and Methods: Six pork bellies were divided into 3 anatomical sections (anterior, middle, and posterior) and treated with a 10% brine solution consisting of salt, sugar, phosphate, sodium erythorbate, and either 1000 ppm or 3000 ppm of L-arginine. A nitrite control (120 ppm) was also included for comparison. The curing process was performed either by injection or vacuum tumbling. Samples were injected via a 4-needle head hand injector. Vacuum tumbled samples were double bagged in sealed vacuum bags and tumbled for 2 h at 20 psi and 6 rpms. After curing, the bellies were heat treated to 56.8°C, chilled, sliced, vacuum packaged, and stored at 4°C. Analyses were conducted on days 1, 28, and 56 of shelf life. The parameters measured included residual nitrate RnO3, residual nitrite RnO2, 2-thiobarbituric acid reactive substances (TBARS), pH water activity, cooking yield, and nitrosyl hemochromogen (NO-heme) values to assess lipid oxidation, cured meat color, and overall product quality. This study was a factorial (2 concentrations × 3 belly locations × 2 curing methods) plus 1 nitrite control randomized block design and was replicated 3 times (n = 18). Least-square means and Tukey’s Honestly Significant Difference test were conducted with a P value of less than .05 significance. The nitrite control served as a reference and was statistically analyzed independently.
Results: Curing method (P = .02) impacted TBARS values with injected samples having higher values (0.13 mg/kg) than tumbled (0.11 mg/kg). Day (P < .0001) impacted TBARS values with values increasing from day 7 (0.095 mg/kg) and day 28 (0.11 mg/kg) to day 56 (0.16 mg/kg). Curing method (P < .0001) impacted cooking yield with injected samples having higher yields (100.91%) than tumbled samples (95.95%). Day (P < .01) impacted RnO3 with day 28 values (4.86 ppm) being lower than day 1 (8.48 ppm) and day 56 (8.52 ppm). Concentration impacted RnO2 values with 1000 ppm arginine values (1.29 ppm) being higher than 3000 ppm arginine values (1.01 ppm). Concentration impacted NO-heme values with 1000 ppm arginine values (6.59 ppm) being higher than 3000 ppm arginine values (5.68 ppm). The results revealed statistically significant differences (P < .05) across the main effects in RnO3, RnO2, TBARS, and NO-heme values, though the practical impact was minimal, with differences of less than 1.0 ppm. The L-arginine-treated samples showed approximately one-third of the NO-heme (≈6 vs. 18 ppm) and RnO3 (≈7 vs. 24 ppm) levels compared to the nitrite control, and the RnO2 values in the nitrite control were significantly higher than in the L-arginine samples (≈1 vs. 37 ppm). Increasing L-arginine concentrations from 1000 ppm to 3000 ppm did not result in greater NO production, indicating that the higher concentration did not enhance eNOS activity.
Conclusion: These findings suggest that eNOS can produce sufficient NO to generate some cured meat characteristics, including color and antioxidant properties, in pork bacon. However, the eNOS system does not perform at the same level as traditional nitrite curing, as evidenced by the lower NO-heme, RnO3, and RnO2 values.
Funding Source: Internal funding.
Keywords: meat processing, alternative curing.
23 Hop Products Inclusion in Fresh Beef Patties Decreased Aerobic Microbial Count, Reduced Lipid Oxidation, and Improved Subjective Color Scores
Corbin R. Fornes*, Yufei Guo, Claire Shaw, Parastoo Ebrahimi, Tara Goertzen, Jessie Van Buren, James A. Nasados, Phillip D. Bass, and Michael J. Colle, University of Idaho, Moscow, ID 83844, USA *forn1107@vandals.uidaho.edu
Introduction/Objectives: The addition of functional ingredients in meat can improve shelf-life characteristics, such as decreasing microbial growth, decreasing lipid oxidation, and improving color. This study utilized hop extracts as functional ingredients. Hop extracts contain flavonoids and phenolic compounds, both of which exhibit antioxidant and antimicrobial properties. The objective of this study was to improve the shelf life of beef patties by using commercially available hop extracts as natural functional ingredients without impacting consumer sensory characteristics.
Materials and Methods: Hop extract treatments included: control (no extract added), 5 ppm, 10 ppm, and 20 ppm dry hop extract, as well as 111 ppm aqueous hop extract. Six batches of each treatment were made at Vandal Brand Meats using US Department of Agriculture choice boneless beef chuck shoulder clods (IMPS #114) purchased from a commercial processing facility and wet aged for 13 d. Each batch included 4.53 kg ground beef, 15% water, 1% salt, 0.2% onion granules, and the designated hop extract treatment. Beef chucks were coarse ground through 10-mm plate, and fine ground through 3-mm plate, mixed for 2.5 min at 29 rpm using DMX-50 Daniels 50 Lb. mixer, and formed using a Patty-O-Matic 220A patty former into 16-mm thick patties. The lean-to-fat ratio was analyzed and measured at 83 to 17, and each patty weighed 151 g. Two patties from each batch were analyzed for each parameter, except for sensory where 3 patties were used. Retail fluid loss percentage was calculated using patty weight on day 0 and patty weight following 4 d of retail display. Lipid oxidation was measured using a thiobarbituric acid reactive substances (TBARS) assay on raw beef patties on days 0, 2, and 4. Subjective and objective color measurements were taken once daily (days 0–4) during retail display, and then patties were systematically rotated after measurement. Aerobic microbial count was measured on days 0, 2, and 4 and incubated for 48 h minus or plus 3 h at 30°C minus or plus 1°C. Sensory was conducted on day 1 of retail display and utilized 84 panelists, analyzing overall acceptability. Data were analyzed using a linear model by looking at retail fluid loss, aerobic microbial count, lipid oxidation, subjective color, objective color, and consumer sensory in R program version 4.3.3. Retail display day, hop extract treatment, and their interaction were assumed as fixed effects with retail display day considered a repeated measure, and batch was considered a random effect, with a significance level of a P value less than .050.
Results: There was no significant difference between treatments in retail fluid loss (P = .484). Aerobic microbial count had a treatment by day interaction (P = .034), where patties treated with 20 ppm on day 0 started and ended with the lowest aerobic microbial count. The patties treated with 111 ppm had the highest count and by day 2 became similar to the other treatments and remained similar until day 4. Lipid oxidation had a treatment by day interaction (P < .001) where the patties treated with 111 ppm on day 0 started with less lipid oxidation, and on day 4 patties treated with 10 ppm and 111 ppm both had less lipid oxidation when compared to the other treatments. Subjective color also experienced a treatment by day interaction (P = .025): the patties treated with 111 ppm had more dull red color on day 0 and by day 4 had a brighter red color when compared to the other treatments. Conversely, the control patties treated with 5 ppm started with a brighter red color on day 0 and by day 4 had a duller red color when compared to the other treatments. Objective color had no treatment by day interaction in L* (P = .934) or in b* (P = .137), but L* differed between treatments (P < .001). For objective color, there was a treatment by day interaction in a* (P = .004). On day 0 the hop extracts reduced the amount of redness in beef patties, but by day 4 of retail display all treatments became similar. In consumer sensory testing, there was no significant difference for overall acceptability (P = .960), tenderness (P = .746), juiciness (P = .725), or flavor (P = .929).
Conclusion: The dry hop extract treatments decreased aerobic microbial count without impacting consumer sensory characteristics, while the liquid hop extract reduced lipid oxidation during early retail display and improved subjective color scores without impacting consumer sensory characteristics. However, the 20 ppm and 111 ppm treatments reduced redness in beef patties during early retail display. In beef patties, hop extracts have the potential to reduce waste by extending shelf-life parameters while maintaining a clean label. Future avenues to further research include increasing the concentrations of the hop extracts, mixing dry and aqueous hop extracts, determining the effect of freezing and thawing on beef patties containing hops extract, and evaluating the efficiency of a hop extract patty that has been stored for an extended period.
Funding Source: BetaTec.
Keywords: hop extract, functional ingredient, beef.
24 Structural and Physicochemical Evaluation of Hybrid Pork Bologna Developed With Faba Bean Protein Isolate Stabilized Canola Oil-in-Water Nanoemulsion Gel as a Novel Fat Replacer
Oluwafemi J. Coker*, Supratim Ghosh, and Phyllis Shand, Department of Food and Bioproduct Sciences, University of Saskatchewan SK S7N 5A8, Canada *oluwafemi.coker@usask.ca
Introduction/Objectives: Developing healthier meat products has gained significant attention because of increasing consumer awareness of dietary health and wellness. This study investigates the structural and physicochemical attributes of hybrid pork bologna formulated with a faba bean isolate (FBI) stabilized nanoemulsion gel as a novel fat replacer. Traditional processed meats, such as bologna, are often high in saturated fats that are linked to various health concerns. The use of nanoemulsion gels offers a promising solution by mimicking the texture, mouthfeel, and stability of fat while improving the overall lipid profile. Developed hybrid bolognas were characterized to ensure that the fat replacement did not compromise product quality. Additionally, the nutritional profile was analyzed to assess potential health benefits, such as calorie content and fatty acid composition. By integrating innovative food nanotechnology, this study contributes to developing sustainable and healthier meat products that meet consumer expectations for taste and texture while addressing dietary health concerns.
Materials and Methods: Pilot scale nanoemulsion gels were prepared using a microfluidizer and consisted of 59.5% water, 30% canola oil, 8.5% FBI, and 1.96% salt. Four distinct bologna formulations, full fat (FFB), low fat (LFB), heated protein emulsion hybrid (HP-hybrid), and unheated protein emulsion hybrid (UP-hybrid), were developed to evaluate fat replacement strategies. The target fat levels were 20% and 10% for FFB and LFB, HP- and UP-hybrids, respectively. Fresh pork leg meat was trimmed of connective tissue and excess fat, coarsely ground through a 12.7-mm plate, vacuum sealed, and stored at −30°C. Before processing, frozen meat was thawed at 1°C, reground through a finer 4.76-mm plate, and back fat was similarly processed. For hybrid formulations, frozen nanoemulsion gels (heated or unheated protein) were manually crumbled into a chopper to integrate with the meat matrix. The meat emulsion preparation began by blending lean meat with dry ingredients, salt, Prague powder (6.4% sodium nitrite), sodium tripolyphosphate, and sodium erythorbate in a bowl chopper (Hobart model, #8418D). Ice water was gradually incorporated during initial chopping (speed #1, 1 min). For FFB and LFB, pork back fat was added, while HP- and UP-hybrids received their respective emulsion gels during high-speed chopping (speed #3, 2 min). The batters underwent dual-pass emulsification via an emulsion mill. After vacuum tumbling to eliminate air pockets (vacuum pressure > 27 mmHg) for 1.5 min to 2 mins, approximately 1 kg of batter was stuffed into waterproof casings (63-mm diameter) using a hydraulic stuffer (EI-20 model) and sealed with cotton string. Stuffed chubs were refrigerated overnight at 1°C before cooking. A 5-stage thermal protocol (40–72°C) in an air-agitated water bath (∼200 L) was used. The bolognas were evaluated for microstructural (scanning electron microscopy [SEM] and Synchrotron-based X-ray micro-computed tomography [SR-μCT] phase contrast imaging), expressible moisture via centrifugation, textural (texture profile analysis [TPA] and torsional gelometry), and nutritional fatty acids profile properties. All experiments were conducted in triplicate. The data were analyzed using analysis of variance with a significance level of a P value less than .05, and mean separation was done using the Duncan multiple range test. The statistical analysis was done using SPSS software (v. 28).
Results: SEM analysis revealed distinct structural differences between control and hybrid bologna formulations. FFB and LFB bolognas exhibited smooth, continuous surfaces with visible white regions that indicated pork backfat distribution (Figure 1). In contrast, hybrid samples (HP- and UP-hybrids) displayed rough microstructures marked by cavities, likely caused by the dispersion of water, protein, or air during lyophilization. Notably, hybrid bolognas demonstrated improved uniformity in oil droplet distribution within the protein matrix, suggesting enhanced structural integration of the nanoemulsion gel. The reconstructed SR-μCT scans (Figure 2) revealed that the HP-hybrid and UP-hybrid bologna had the lowest oil volume fractions and the smallest fat globule size (lowest amount of free oils). This result further confirms the water-holding capacity (WHC; expressible moisture and cook loss) of the bolognas (Figure 3). It was observed that the hybrid bolognas have lower fluid release, hence a better WHC compared to the control (LFB). Torsional gelometry tests showed no significant differences in shear strain across samples. However, shear stress at fracture varied significantly (P < .05), with FFB requiring the highest shear stress (tough texture), while LFB exhibited a rubbery texture. Hybrid bolognas displayed intermediate properties, balancing toughness and rubberiness. TPA further highlighted that hybrid formulations achieved higher hardness values (P < .05) compared to controls, attributed to the stabilizing effect of nanoemulsion gels (Figure 4A). Adhesiveness was highest in FFB, whereas hybrid samples showed superior cohesiveness, outperforming LFB. These textural shifts underscore the functional role of protein emulsion gels in mimicking fat while enhancing structural resilience. Nutritionally, replacing pork fat with nanoemulsion gels drastically alter fatty acid profiles (Figure 4B). Saturated fatty acids (SFA) myristic (C14:0), palmitic (C16:0), and stearic (C18:0) acids were reduced by about 73% in hybrids. Conversely, monounsaturated fatty acids, particularly oleic acid (C18:1 c9), increased to about 60% of the total fat content compared to 39 % in LFB. Polyunsaturated fatty acids (PUFA) also increased, with linoleic acid (C18:2 c9, c12 n6) reaching about 16%, and minor PUFA fractions (e.g., α-linolenic, eicosatrienoic, and arachidonic acids) showing higher concentrations in hybrids than controls. This shift aligns with health-driven objectives to reduce SFA and enhance heart-healthy unsaturated fats.
Conclusion: This study demonstrates the successful development of hybrid pork bologna using heated or nonheated protein nanoemulsion gels as innovative fat replacers, offering a promising pathway to healthier processed meats. It was observed that the structural networks influenced the textural and water-holding properties, while the nutritional evaluations revealed that hybrid formulations effectively reduced SFA by approximately 73% and enriched mono- and polyunsaturated fats, aligning with dietary recommendations for cardiovascular health. Despite a rougher microstructure observed via SEM, hybrid bolognas maintained enhanced textural properties, including higher hardness and cohesiveness, outperforming LFB controls and bridging the gap between rubbery and tough textures. The integration of nanoemulsion technology not only addresses nutritional concerns but also preserves functional integrity, proving that fat reduction need not compromise texture or consumer satisfaction. Although the preliminary sensory acceptance is promising, there is a need to evaluate the sensory attributes of the bologna to meet the consumer’s expectation.
Effect of different fat levels and 12.5 weight percentage faba bean isolate stabilized 20 weight percentage canola oil-in-water emulsion gels on the microstructure. (A) Full fat, (B) low fat, (C) UP-hybrid, and (D) HP-hybrid of cooked bologna. Scale 250 μm. HP-hybrid, heated protein emulsion hybrid; UP-hybrid, unheated protein emulsion hybrid.
Synchcrotron X-ray computed tomography of 3-dimensional rendering of oil droplets in (A) full fat, (B) low fat, (C) unheated protein emulsion hybrid, and (D) heated protein emulsion hybrid bologna samples. Yellow spots represent animal fat, blue represents water, grey represents oil droplets, and green represents protein matrix.
Effect of different fat levels 12.5 weight percentage faba bean isolate stabilized 30 weight percentage canola oil-in-water emulsion gels on (A) expressible moisture, (B) cook loss, and (C) hardness. Data points represent an average of n = 3. Bars with different letters indicate significant difference (P < .05). HP-hybrid, heated protein emulsion hybrid; UP-hybrid, unheated protein emulsion hybrid.
Fatty acid composition of bologna formulated with pork fat or nanoemulsion gels (% product)
| Samples | Conventional Bologna | Hybrid Bologna | ||
|---|---|---|---|---|
| Full Fat | Low Fat | UP-Hybrid | HP-Hybrid | |
| Saturated FA (%) | 42.23 | 43.41 | 11.93 | 11.26 |
| MUFA (%) | 45.47 | 46.45 | 67.15 | 65.80 |
| PUFA (%) | 12.31 | 10.14 | 20.94 | 22.94 |
| Omega-3 (%) | 0.73 | 0.51 | 5.12 | 6.91 |
| Omega-6 (%) | 11.27 | 9.32 | 15.60 | 16.54 |
| Omega-9 (%) | 39.54 | 40.18 | 62.33 | 61.32 |
| SFA/UFA | 0.73 | 0.77 | 0.14 | 0.13 |
FA, fatty acids; HP-hybrid, heated protein emulsion hybrid; MUFA, monounsaturated fatty acids; PUFA, polyunsaturated fatty acids; SFA, saturated fatty acids; UFA, unsaturated fatty acids; UP-hybrid, unheated protein emulsion hybrid.
Funding Source: Ministry of Agriculture, Government of Saskatchewan, Natural Sciences and Engineering Research Council of Canada, and SaskCanola.
Keywords: hybrid bologna, structure, physicochemical, nanoemulsion, canola oil.
25 Use of Nitrate/Nitrite and Food-Grade Coatings to Control Tyrophagus putrescentiae via Nitric Oxide Formation During Dry-Cured Ham Processing
Sawyer Wyatt Smith1,*, Xue Zhang2, Guyue Tang2, Ryen Comey1, Daniel Joyce1, Vada Lee Thacker1, Thomas Phillips3, and Wes Schilling1, 1Department of Biochemistry, Nutrition, and Health Promotion, Mississippi State University, Starkville, MS 39762, USA, 2Department of Animal and Dairy Sciences, Mississippi State University, Starkville, MS 39762, USA, 3Department of Entomology, Kansas State University, Manhattan, KS 66506, USA *ssmith@foodscience.msstate.edu
Introduction/Objectives: Dry-cured ham is highly susceptible to infestations by the ham mite, Tyrophagus putrescentiae, during the aging process. During dry-cured ham processing, hams are cured with sodium nitrite (625 ppm) and sodium nitrate (2187 ppm), which delay lipid oxidation, stabilize color, act as antimicrobial agents, and enhance flavor. Nitric oxide (NO) produced during curing plays a crucial role in color development (nitrosyl hemochrome) and antimicrobial properties. Research by Yang et al. (2022) demonstrated that NO fumigation can achieve 100% control of ham mite infestations. Increasing sodium nitrite and nitrate concentrations during ham processing could elevate NO levels, potentially enhancing mite control within an industrial aging facility. This study aimed to evaluate the effect of increased sodium nitrite and nitrate concentrations on mite growth and reproduction during dry-cured ham processing and to assess the effectiveness of netting used during aging.
Materials and Methods: A 5 × 2 factorial arrangement within a randomized complete block design with 2 replications was used to evaluate the effects of cure mix concentration and netting type on mite growth and reproduction. The control cure mix consisted of 6.25% salt, 0.14 % sucrose, 625 ppm sodium nitrite, and 2187 ppm sodium nitrate. The treatments consisted of the negative control (0X), control (1X), double (2X), triple (3X), and quadruple (4X) the concentration of sodium nitrite and nitrate levels of the control hams. The 2 types of netting consisting of 1) an uncoated ham net typically used for aging and 2) ham net coated with a solution of 1% carrageenan + 1% propylene glycol alginate + 40% propylene glycol (PG-coated; White et al., 2023). At a commercial country ham processing facility, hams (n = 40) were assigned to 1 of 5 cure mixes (0X, 1X, 2X, 3X, 4X), hand-coated, and stored at 2°C to 4°C for 40 d. After curing, hams were stored at 15°C for 14 d for salt equalization. Following equalization, half of the treated hams were assigned to 1 of 2 aging rooms (blocks), and, within each block, hams were further divided into 2 groups based on the netting used (PG-coated or uncoated). For experiment 1, after 6 mo and 7.5 mo of aging, respectively, hams were observed for presence, infestation severity, and overall coverage of the hams by T. putrescentiae at the commercial aging facility. Following examination(s), hams were sliced into 2.54-cm thick slices for further analysis. For experiment 2, 20 mixed-sex ham mites were inoculated onto 2.5-cm × 2.5-cm × 2.5-cm ham samples (n = 5/treatment/replication) incubated in ventilated jars at 23°C for 14 d. After the 14-d incubation, mobile mites were counted under a stereo microscope to observe mite growth and reproduction. For experiment 3, the residual levels of sodium nitrite were determined spectrophotometrically using a Griess reagent system at 25°C and 535 nm wavelength.
Results: Results for experiment 1 indicated that hams aged for 6 mo had a significantly lower (P = .0455) mite presence than hams aged for 7.5 mo across all treatments, apart from the controls (0X, 1X), which exhibited no difference between aging times. Netting type significantly impacted (P < .0001) the effectiveness of the treatments. When uncoated nets were used, elevated nitrite and nitrate treatments were efficacious in lowering mite presence, whereas 2X, 3X, and 4X had lower (P < .001) mites’ presence than the control (0X, 1X)—albeit no differences existed among the treatments (P > .05). When PG-coated nets were used, treatments did not exhibit any differences (P > .05) with respect to mite presence. Results from the reproduction study in experiment 2 indicate that after 6 mo of aging all treatments were ineffective at controlling mite growth and reproduction, all resulting in average counts greater than 20. Only the 4X level significantly differed (P = .0024) among the treatments, whereas it had even greater levels of mite growth and reproduction. Netting type had no impact on mite growth and reproduction (P = .3192). In the final experiment, residual levels of nitrite were compared among the treatments. After 6 mo of aging, 4X had the highest (P > .05) concentration of residual nitrite (68.5 ppm), followed by 3X (44.8 ppm), 1X (39.5 ppm), and 2X (23.2 ppm). The negative control (0X) readings were below the limit of detection. Likewise, all treatments from 7.5 mo were below the limit of detection, which is likely due to the added nitrite being fully converted to NO.
Conclusion: Although treatments of elevated nitrite and nitrate levels, in tandem with netting type, exhibited some impact on mite presence at the aging facility, the extent of control in comparison to potential costs is insufficient to be recommended as a viable part of an integrated pest management system.
Funding Source: This work was supported by competitive grants received from the US Department of Agriculture National Institute of Food and Agriculture’s Methyl Bromide Transition program (award number 2015-51102-24143) and the Division of Agriculture, Forestry, and Veterinary Medicine at Mississippi State University.
Keywords: mites, dry-cured ham, nitrite curing.
26 Incorporation of Dietary Fiber Compounds in Meat Batters
Milena Conte*, Yifei Wang, and Benjamin M. Bohrer, Department of Animal Sciences, The Ohio State University, Columbus, OH 43210, USA *conte.95@osu.edu
Introduction/Objectives: The inclusion of dietary fiber in formulated foods could enhance their nutritional profile, promoting digestive health and reducing risks of chronic disease. Since changing consumer eating behavior is challenging, developing innovative fiber-rich products is essential, particularly in popular foods like processed meats. However, limited research has focused on investigating dietary fiber as an ingredient in processed meats. The objectives of this research were to investigate the influence and effectiveness of 3 novel dietary fiber compounds (red seaweed, ground psyllium husk, and ground chia seeds) on physicochemical properties of comminuted meat models. The hypothesis is that 1 of the selected dietary fiber compounds, or a combination, will have the appropriate technological properties for being effectively integrated in the processed meat systems while limiting negative physiochemical effects when compared with traditional processed meat products.
Materials and Methods: Emulsion batters were formulated to test the inclusion of 3 ingredients with notable dietary fiber content (red seaweed [59 g dietary fiber/100 g], psyllium husk [80 g dietary fiber/100 g], and ground chia seeds [42 g dietary fiber/100 g]), with total inclusion of 1% of each ingredient. Treatments were the following: a control treatment without addition of fiber (CON), 1% inclusion of seaweed (SEA), 1% inclusion of psyllium husk (PSY), 1% inclusion of ground chia seeds (CHIA), 0.5% inclusion of seaweed and psyllium husk (SEA_PSY), 0.5% inclusion of seaweed and ground chia seeds (SEA_CHI), 0.5% inclusion of psyllium husk and ground chia seeds (PSY_CHI), and 0.33% inclusion of seaweed, psyllium husk, and ground chia seeds (SEA_PSY_CHI). The formulations consisted of lean ground beef (67%), pork backfat (10%), sodium chloride (1.64%), tripoly phosphate (0.35%), water/ice (20%), sodium erythorbate (0.05%), sodium nitrite (to provide ∼120 ppm), and the test ingredients (1%). Each of the 8 treatments were replicated using the same ingredients on 3 different days over a 3-wk time period (n = 3 replicates/treatment). The ingredients were prepared in batch sizes of 500 g using a commercial food blender until a homogenous batter was formed. pH and instrumental color were evaluated for the uncooked batter. In addition, rheology was performed for uncooked samples using a dynamic rheometer equipped with parallel-plate geometry. Two temperature sweeps were evaluated, from 20°C to 72°C and 72°C to 20°C, both at a rate of 1.5°C/min. Conical polypropylene 50 mL tubes were filled with meat batters and placed in a preheated water bath set at 80°C and cooked to an internal temperature of 72°C. Cooking loss was assessed after tubes were cooled. Instrumental color was also evaluated on the cooked surface and internal slices of the cooked meat batters. Texture profile analysis was measured for the cooked meat batters. Samples were compressed twice to 50% of their original height during the test. Response variables were analyzed as a randomized complete block design in PROC GLIMMIX of SAS with treatment serving as the fixed effect and block serving as a random effect.
Results: The addition of the fiber compounds did not influence (P ≥ .17) instrumental color of uncooked meat batters. Yet, there was a treatment effect (P < .05) for instrumental color for the cooked (surface) and internal slices. Cooked surface L* was affected by treatment (P = .05) with the SEA_CHI treatment (67.02 U) displaying greater L* (P < .05) compared with PSY (65.25 U) and CHI (65.53 U) treatments, while other treatments were not different and at intermediate values. Total color change (ΔE*ab) of the internal slices was affected by treatment (P = .02) with the SEA_CHI treatment and the SEA_PSY_CHI treatment having greater (P < .01) color change compared with the CHI, SEA_PSY, and PSY_CHI treatments. There were no treatment effects (P = .08) for cooking loss, and treatments had cooking loss values under 0.70% indicating appropriate emulsion stability and ability to retain water and fat during thermal processing. The pH values of the batters ranged from 5.86 to 6.00, yet no treatment effect (P > .43) was observed. Hardness was affected by treatment (P = .001), with treatments containing 1.0% and 0.5% seaweed (SEA and SEA_PSY) having the greatest levels of hardness and significantly differing from the CON, PSY, CHI, PSY_CHI, and SEA_PSY_CHI treatments. In accordance with these results, storage modulus values (G') at the peak temperature of 72°C for the SEA and SEA_PSY had the greatest numerical values. However, these values were not different (P > .05) from the CON treatment. In fact, storage modulus values (G') at the peak temperature of 72°C were lowest for the SEA_CHI treatment, which were statistically different (P < .05) from the CON, SEA, PSY, and SEA_PSY treatments. This result shows ground chia seeds negatively impacted the dynamic rheology properties, thus changing the viscoelastic characteristics during gel formation.
Conclusion: The results of this study demonstrate that dietary fiber ingredients have a potential to be effectively incorporated into meat batters without negatively impacting physicochemical properties such as pH and cooking loss. In addition, when proper combinations are used, impacts to cooked product color, texture, and gel formation can be minimized or even completely mitigated. Specific findings from this study show that formulations with greater than 0.5% red seaweed created greater levels of textural hardness, and formulations containing ground chia seeds, in combination with other fiber compounds, exhibited weaker gel structures, indicating limitations in the protein-polysaccharide complex and their application in processed meat systems. Overall, these results provide a foundation for the development of fiber-enriched processed meats that maintain desirable structural and physicochemical characteristics while potentially offering nutritional benefits. Further investigation into the inclusion levels of these ingredients and descriptive sensory analysis is necessary.
Funding Source: Funding for this project was provided by The Ohio State University Department of Animal Sciences.
Keywords: seaweed; psyllium husk; chia seeds.
27 Influence of Pulsed Electromagnetic Field Therapy on Color and Tenderness of Beef
Sydni E. Lammers*, Haley R. Mouser, Kylie N. Krueger, Judson K. Grubbs, Keith R. Underwood, Christina E. Bakker, and Amanda D. Blair, South Dakota State University, Brookings, SD 57007, USA *sydni.borders@sdstate.edu
Introduction/Objectives: Pulsed electromagnetic field (PEMF) therapy is a tool used in livestock and human health to increase muscle metabolism thus promoting healing and reducing inflammation. When animals are harvested, muscles continue to undergo anaerobic metabolism early postmortem in attempt to maintain homeostasis. Alterations to this process with PEMF therapy have the potential to influence processes integral to the development of meat color and tenderness. We hypothesize that the application of PEMF technology will activate proteolytic enzymes in earlier postmortem, thus accelerating the aging process, and create a brighter lean color at 24 h postmortem. This technology has proven to be effective in increasing muscle metabolism in living animals; however, little research has been conducted on its potential to affect postmortem muscle metabolism and subsequent meat quality attributes of beef. Therefore, the objective of this study is to determine the influence of PEMF application on objective color and tenderness development of beef products.
Materials and Methods: Beef cattle (n = 20) harvested in northeast Iowa were selected based on a common hot-carcass weight (406 ± 5.8 kg) and quality grade (US Department of Agriculture, Choice). After carcass splitting and prior to cooler entry, PEMF treatment (PEMF Complete©) was applied to the loin on the right side of each carcass at 60 Hz and 230 V for 5 min. The left side did not receive PEMF treatment and served as the control. Instrumental color (L*, a*, b*) was recorded 24 h postmortem on the exposed ribeye surface, and ultimate muscle pH was recorded on the striploin 3 d postmortem. The striploin (m. Longissimus lumborum) from both sides of each carcass were collected and transported to the South Dakota State University Meat Laboratory. Striploins were fabricated into 2.54-cm steaks and assigned to 1 of 4 aging periods (1, 3, 7, or 14 d) with 1 steak assigned per aging period for Warner-Bratzler shear force (WBSF) analysis. Steaks were vacuum sealed and aged at 4°C then frozen on their respective aging day. After freezing, steaks were removed and thawed at 4°C for 24 h. Following thawing, steaks were cooked on a flat-top grill to an internal temperature of 40°C, then flipped, and continued cooking until reaching an internal temperature of 71°C. Percentage of cook loss was determined by weighing steaks before and after cooking. Following cooking, steaks were chilled to 4°C and then equilibrated to room temperature. Six cores were removed from each steak parallel to muscle fiber direction and sheared perpendicular to fiber orientation using a texture analyzer (Shimadzu, model EZ SX; Suzhou Instruments Manufacturing, Co., LTD, Jiangsu, China). Peak force was recorded and averaged across all 6 cores for statistical analysis. Data were analyzed using the MIXED procedure of SAS (SAS Institute, Cary, NC). Instrumental color and pH were analyzed as a randomized complete block design with carcass as the block and treatment as a fixed effect. Shear force and cook loss data were analyzed as repeated measures with peak temperature as a covariate and aging day, treatment, and their interaction as fixed effects.
Results: Application of PEMF treatment did not influence (P > .05) instrumental color (L*, a*, b*), evaluated 1 d postmortem. Mean L*, a*, and b* values for the treatment and control carcass sides were 41.16 and 41.10 plus or minus 0.381, 24.81 and 24.94 plus or minus 0.265, and 9.33 and 9.37 plus or minus 0.191, respectively. There was no effect (P = .416) of PEMF treatment on ultimate pH of striploins. Mean pH was 5.55 and 5.53 plus or minus 0. 016 for the treatment and control striploins, respectively. No PEMF treatment postmortem aging day interaction (P = .347) was observed for WBSF, and PEMF treatment did not influence (P = .328) WBSF. Mean shear force values were 3.13 kg and 3.22 kg plus or minus 0. 079 kg for treatment and control steaks, respectively. However, WBSF was influenced (P < .001) by aging day. Steaks aged 1 d were the least (P < .001) tender (3.88 kg) followed by 3 d (3.24 kg), which were less tender (P < .001) than steaks aged for 7 d (2.81 kg) or 14 d (2.78 kg). However, steaks aged 7 d did not differ (P = .855) from steaks aged for 14 d. No treatment postmortem aging day interaction (P = .761) was observed for percentage cook loss. Furthermore, PEMF treatment and aging day did not influence (P > .05) percentage cook loss of striploin steaks. Mean cook loss was 19.78% and 19.88% plus or minus 0. 496% for PEMF treated and control steaks, respectively.
Conclusion: The application of PEMF therapy to carcasses early postmortem did not influence lean color, ultimate pH, objective tenderness, or percent cook loss of beef striploins. While this technology has been proven effective at increasing muscle metabolism in living animals, the level of PEMF therapy applied to carcasses in this study did not elicit changes in muscle metabolism to an extent great enough to impact beef quality characteristics. Further research to evaluate alternative frequency, voltage, and/or application time is necessary to determine the efficacy of this technology to increase postmortem muscle metabolism in beef carcasses. Additionally, due to the proven efficacy of PEMF therapy on living animal muscle metabolism, further research to examine antemortem application and its impact on subsequent postmortem metabolism and meat quality could reveal alternative uses for this technology.
Funding Source: Iowa Beef Industry Council.
Keywords: beef, tenderness, pulsed electromagnetic field.
28 Evaluation of Pulsed Electromagnetic Field Therapy for Improving the Color Stability and Water-Holding Capacity of Beef Products
Haley R. Mouser*, Sydni E. Lammers, Kylie N. Krueger, Judson K. Grubbs, Keith R. Underwood, Christina E. Bakker, and Amanda D. Blair, South Dakota State University, Brookings, SD 57007, USA *haley.mouser@sdstate.edu
Introduction/Objectives: Consumers have high expectations for fresh meat color because they associate color with freshness and quality product. A key aspect of improving shelf life of fresh beef products is improving color stability, which is associated with improved water-holding capacity. A potential method for improving water-holding capacity of meat is pulsed electromagnetic field (PEMF) therapy. This technology increases the rate of muscle metabolism and accelerates the rate of tissue repair when applied to live animals. Since muscles are metabolically active early postmortem, there is potential for the application of PEMF therapy to influence mechanisms regulating water-holding capacity and color stability of meat. Therefore, the objective of this study was to determine the influence of PEMF therapy on water-holding capacity and color stability (retail display) of beef striploin and eye of round steaks.
Materials and Methods: Beef cattle (n = 20) harvested in a northeast Iowa plant were selected based on a common hot-carcass weight (406 kg ± 5.8 kg) and quality grade (US Department of Agriculture, Choice). After carcass splitting, prior to cooler entry, PEMF treatment (PEMF Complete©) was applied to the loin and round on the right side of each carcass at 60 Hz and 230 V for 5 min. The left side did not receive PEMF treatment and served as the control. At 24 h postmortem, the striploin (m. Longissimus lumborum) and the eye of round (m. semitendinosus) from both sides of each carcass were collected and transported to the South Dakota State University Meat Laboratory. Subprimals were weighed in and out of the package and percentage purge loss was calculated. Subprimals were fabricated into 2.54-cm steaks. Four steaks from the striploins were aged for 1 d, 3 d, 7 d, or 14 d then frozen for determination of cook loss. One steak was assigned to assess color stability of a fresh sample. Strip steaks assigned to cook loss analysis were thawed at 4°C for 24 h, cooked on a flat-top grill to an internal temperature of 40°C, then flipped and continued cooking until reaching a final endpoint temperature of 71°C. Steaks were weighed before and after cooking to determine percent cook loss. Strip steaks and eye of round steaks assigned for color stability at 3 d postmortem were individually placed on Styrofoam trays, overwrapped with oxygen-permeable polyvinylchloride film, and placed under a stimulated retail display for 11 d. Instrumental color (L*, a*, b*) was recorded at 2 locations on each steak for the 11-d period. Data were analyzed using the MIXED procedure of SAS (SAS Institute, Cary, NC). Purge loss was analyzed as a randomized complete block design with carcass as the block and treatment as a fixed effect. Cook loss and instrumental color data were analyzed as repeated measures with day, treatment, and their interaction as fixed effects. Internal peak cooking temperature of each steak was used as a covariate for cook loss analysis.
Results: Application of PEMF treatment did not influence (P > .05) purge loss of striploins or eye of round subprimals. Purge loss of striploins were 0.72% and 0.83% plus or minus 0.094% and eye of rounds were 0.16% and 0.07% plus or minus 0.062% for the treated and control sides, respectively. No treatment aging day interaction (P = .761) was observed for cook loss. Furthermore, there was no effect (P > .05) of PEMF treatment or aging day on cook loss of striploin steaks. Mean cook loss was 19.78% and 19.88% plus or minus 0. 496% for PEMF treated and control steaks, respectively. No PEMF treatment day of retail display interaction was observed for instrumental color of striploin or eye of round steaks (P = .972 and P = .997, for loins and eye of rounds, respectively). However, PEMF treatment influenced lightness values with the PEMF treated striploin steaks having lower (P < .001) L* values than control steaks (45.60 vs. 46.17 ± 0.320, respectively). Conversely, in the eye of round, PEMF treatment resulted in increased (P = .035) L* values compared to control steaks (47.93 vs 47.70 ± 0.288, respectively). There was a tendency (P = .074) for PEMF treated striploin steaks to have increased redness (a*) values (19.16 vs. 18.84 ± 0.438, respectively) compared to control steaks. Application of PEMF did not influence a* values of eye of round steaks (P = .429) or b* values of the striploin steaks (P = .380). However, PEMF treated eye of round steaks had increased (P = .050) b* values compared to the control steaks (9.78 vs. 9.67 ± 0.180, respectively). Day of retail display was significant for L*, a*, and b* values (P < .001) in all steaks. Values for L* increased over the duration of the display period, whereas a* and b* values decreased over time. These shifts in color values are indicators of discoloration, thus demonstrating an increase in discoloration throughout the progression of the retail display.
Conclusion: The application of PEMF to beef carcasses early postmortem did not influence water-holding capacity as evaluated by purge loss and cook loss measurements. Application of PEMF treatment did differentially impact color of striploin and eye of round steaks throughout the duration of a stimulated retail display with PEMF treatment, resulting in lighter striploins but darker eye of round steaks as well as a tendency for increased redness values in striploins. However, while these color values were statistically different, further research is warranted to determine if consumers would be sensitive to these differences. Because PEMF has been proven effective in increasing antemortem muscle metabolism, further research could also examine antemortem application of PEMF therapy and its impact on subsequent meat quality and color stability. Additionally, further research should be conducted regarding the frequency, voltage, and time needed to optimize color outcomes.
Funding Source: Iowa Beef Industry Council.
Keywords: beef, color, pulsed electromagnetic field.
29 Impact of Solubilized Myofibrillar Beef Protein as a Meat Block Component for Processing and Quality Attributes in Fully Cooked Beef Meatballs
Michael Cropp, Michael Stender, Kayle Eivins*, and Kristen Robbins, Kemin Industries, Des Moines, IA 50309, USA *kayle.eivins@kemin.com
Introduction/Objectives: The regulatory standard for a meatball (containing uncooked or cooked pork, beef, veal, or lamb) is that it must contain at least 65% of meat ingredients. Considering this standard of identity, utilizing solubilized myofibrillar beef protein (SMBP) as a component of the 65% meat block portion was investigated to determine the impact on the processing, shelf life, and quality attributes in fully cooked all-beef meatballs.
Materials and Methods: Four meatball formulations were manufactured (Fig. 1): a conventional beef meat block (1 control), in addition to beef meat blocks containing various meat block replacement (MBR) levels utilizing SMBP (Proteus® B010) as a component of the total 65% meat block; 4% MBR (2); 8% MBR (3); and 12% MBR (4), respectively. All formulations included the same amount (35%) of nonmeat ingredients: water, salt, seasoned breadcrumbs, corn syrup, textured vegetable protein (TVP®), soy protein concentrate, and a rosemary extract. The formulations were mixed, portioned into approximately 1.5-oz balls, thermally processed to 70°C, frozen to less than 0°C, packaged, and stored frozen (aerobically) at −8°C during 328-d shelf-life evaluation. Properties evaluated included cooked and chilled yield, proximate analysis, lipid oxidation (thiobarbituric acid reactive substances [TBARS]), and sensory properties including flavor, texture, juiciness, and overall acceptability. The study was replicated twice, with replications produced on consecutive days. Statistical analysis of formulation and day (main effects) and 2-way interactions using STATGRAPHICS Centurion 18 software with significance determined at a P value of less than .05. Trending P values were determined at a P value greater than or equal to .05 and less than .10.
Results: Cooked proximate composition for fat, protein, and moisture were not significantly different for any formulation. There were no significant processing differences in cook yield or chilling/freezing loss. The overall process yield and yield to green impact of SMBP inclusion is displayed in Figure 1. Results for lipid oxidation by TBARS analysis indicate no significant formulation difference but a significant storage time effect where day 90 was lower than day 180. However, TBARS generally exhibited very similar values throughout 328 d of storage. Sensory results for flavor intensity showed no formulation differences but revealed a significant day effect for less intense flavor during storage time across all formulations. Sensory results for texture showed a trend (P = .083) for softening during storage time. Sensory juiciness and mean overall acceptability showed no differences.
Conclusion: The present study’s findings highlight that product composition is unchanged with MBR using SMBP. Process yield was not impacted and showed numerical mean improvements across all MBR levels tested compared to the control formulation. Additionally, substantial improvements were observed when factoring in yield back to the initial meat block (yield to green). Sensory attributes and lipid oxidation showed no meaningful formulation differences. The findings demonstrate that SMBP can be included as a meat block component without adversely affecting product performance or quality attributes during shelf life.
Composition of meatball formulations containing nonmeat ingredients, beef trim with solubilized myofibrillar beef protein as a meat block replacement of beef 90s, and yield1,2 attributes. 1Yield to green (%): cooked and chilled weight/initial raw beef 50 and 90 trim weight (P = .562). 2Process yield %): cooked and chilled weight/raw formulation weight (P = .763). MBR, meat block replacement; SMBP, solubilized myofibrillar beef protein.
Funding Source: Kemin Food Technologies.
Keywords: meatballs, processed meat, sensory yield.
30 Application of High-Pressure Processing Alters the Color of Cow Tenderloins
Kara A. Reynolds1,*, Leila G. Venzor1, Ashley A. Hahn1, Grace C. Johnson1, Jordan C. Wicks1, Mary-Grace C. Danao1, Ranjith Ramanathan2, and Gary A. Sullivan1, 1University of Nebraska–Lincoln, Lincoln, NE 68588, USA, 2Oklahoma State University, Stillwater, OK 74078, USA *kreynolds15@huskers.unl.edu
Introduction/Objectives: Cull cows represent 10% of the US beef industry; however, the inherent characteristics of the meat make it less marketable than that of beef from young, finished cattle. The dark lean color and tenderness concerns of cow meat limit consumer acceptance. Even so, the psoas major (PM) muscle is still remarkably tender, arguing that if color of cow tenderloins (PM) could be improved, value could be added back to cow carcasses. Recent works have shown that high-pressure processing (HPP) can lighten and improve redness of lean in conventional high pH dark-cutting beef. While the mechanism in which this happens has yet to be determined, color changes occur in the absence of pH change, suggesting dark lean, regardless of pH, can be improved. Therefore, the objective of this experiment was to evaluate the effect HPP has on color, oxidative stability, and tenderness of PM muscle from cull cows.
Materials and Methods: Forty cull cow tenderloins were obtained from a commercial abattoir and transported on ice to the University of Nebraska–Lincoln (UNL) Loeffel Meat Laboratory. Vacuum-packaged tenderloins were held in dark refrigeration (2 ± 1°C) conditions for 72 h. Tenderloins were faced on the posterior end (6–7 cm), and a 27.9-cm portion sample was collected from each tenderloin. Tenderloin portions were vacuum packaged and assigned to 1 of 5 pressure (MPa) and holding time(s) treatments: 300MPa-60s, 300MPa-90s, 375MPa-60s, 375MPa-90s, and positive control (non-HPP, PC). Additionally, 8 US Department of Agriculture choice tenderloins, serving as negative control (non-HPP, NC), were procured from a commercial abattoir, and transported and processed under similar conditions as previously described. Tenderloins subjected to the assigned HPP treatment at the UNL Food Processing Center. Samples were stored in dark, refrigerated (2 ± 1°C) conditions for 24 h. Tenderloins were removed from packaging and divided into 6 portions (n = 1, 5-cm steak; n = 4, 3-cm steak; n = 1, 1-cm steak). Three, 3-cm steaks from each sample were placed on Styrofoam trays and overwrapped with polyvinyl chloride film. Samples were subjected to a 7-d simulated retail display. Subjective color was observed once daily by a trained panel using 3 established scales: paleness (1–6; 6 being very pale), discoloration (1–6; 1 having no discoloration), and color score (1–8; 1 being bleached red). Instrumental objective color (L*, a*, b*) was collected daily with a Minolta CR-400 colorimeter (Ramsey, NJ). Additionally, retail display steaks were collected on days 0, 3, and 7 and cryogenically frozen and stored (−80°C) for thiobarbituric acid reactive substances and pH analysis. One steak per sample was collected on day 0 for Warner-Bratzler shear force and stored at −20°C until the time of analysis. Data were analyzed using the GLIMMIX procedure of SAS 9.4 (SAS Institute, Cary, NC, USA). Main effects of HPP treatment (pressure and time) were evaluated within day in a completely randomized design factor. Significance was determined at α equal to 0.05.
Results: On all days during retail display, the 375MPa-90s treatment was lighter (P < .05) than all other treatments, except the 375MPa-60s. The 300MPa-60s had similar L* values to the NC on days 0, 1, 2, and 6, and 300MPa-90s were similar to the NC on day 0. The non-HPP-treated PC was among the darkest (lowest L* value) throughout (P < .05) but was similar to the NC on day 6 (P < .05). For a* values, the 375MPa-90s treatment was less red (P < .05) than the NC on all days except day 1. Compared to the PC, 375MPa-90s was redder on day 0, but the redness deteriorated over time with lower a* values on days 3 through 7 (P < .05). Both 375MPa treatments had among the greatest b* values and were similar to the fed-beef NC on days 1 through 7. The non-HPP PC control was among the lowest b* values (P < .05) but similar to 300MPa-60s on days 1 through 7. In color panel evaluations, the PC always had the highest color score (darkest color), followed by the NC. As HPP pressure and holding time within pressure increased, color scores declined. Similarly, the PC had the lowest paleness scores (least pale), followed by the NC. In general, as pressure and holding time increased within pressure, the paleness scores increased. The 375MPa-90s were among the most discolored, beginning on day 2. The PC was similar to 300MPa-60s on all days except 0 and 5 and 300MPa-90 on all days except day 5 (P > .05). There were no differences in lipid oxidation on day 0 of the retail display (P < .0001). On day 3, pressure-treated steaks showed significantly increased oxidation compared to NC and PC treatments (P < .001). On day 7, both 375MPa and 300MPa-60s exhibited the highest lipid oxidation, while NC and PC had the least (P < .0001). Tenderloin pH differed on day 0 with NC being significantly higher than all other treatments except 375MPa-60s; however, there was no difference among HPP-treated tenderloins (P = .0177). Across all treatments, no differences for pH were identified on days 3 and 7 (P = .4893, P = .1826, respectively). Additionally, all cow tenderloin treatments had significantly greater shear force values than the NC (P = .0007).
Conclusion: Subjecting cull cow tenderloins to HPP increased initial lightness, with the 375MPa-90s treatment being the most effected. Initial improvements in redness deteriorated over time and were more pronounced at the higher pressures. HPP-treated cow tenderloins were lighter, but visual discoloration increased over time, particularly in higher pressure treatments such as 375MPa-60s and 375MPa-90s. Shear force was similar among HPP-treated and untreated cull cow samples (PC) but remained tougher than NC tenderloins. While HPP may enhance initial color, the product quality deterioration was more rapid, especially at higher pressures and longer holding times. Investigating lower HPP pressures and shorter holding times may be warranted to optimize the initial color benefits of HPP and maintain shelf-life color stability.
Funding Source: This project was funded in part by the Beef Checkoff and the Nebraska Beef Council.
Keywords: high-pressure processing, cull cows, color cow tenders, shelf life.
31 Release of Antioxidants From Biodegradable Polylactic Acid Meat Packaging Films
Noah Jewell1,*, Anibal Bher2, Rafael Auras2, Prabir Ghari1, Gretchen Mafi1, Morgan Pfieffer1, and Ranjith Ramanathan1, 1Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA, 2School of Packaging, Michigan State University, East Lansing, MI 48824, USA *noah.jewell@okstate.edu
Introduction/Objectives: Plastic pollution has led to an increased demand for more sustainable packaging materials among consumers. Biodegradable polymer films, such as polylactic acid (PLA), have the potential to replace petroleum-based polymers, including polyvinyl chloride. However, biodegradable films have poor barrier characteristics, leading to increased oxygen transmission and an increased rate of discoloration and oxidation in meat products. The inclusion of antioxidants in the film mix is a viable method to reduce the oxidative impact of PLA films. However, a major limitation is its inability to withstand high temperatures during the film extrusion process. Encapsulation of antioxidants within cyclodextrins, a type of glucose capsule, can enhance the thermal stability of antioxidants, making the encapsulated antioxidants potentially suitable for incorporation throughout the processing of PLA films. Therefore, the objective of this study was to incorporate cyclodextrin-embedded antioxidants within PLA films and determine their ability to release antioxidants.
Materials and Methods: Commercially purchased cyclodextrin powders consisting of citral, coenzyme Q10, and curcumin were obtained from a commercial producer. 1.5 kg of Ingeo™ biopolymer 2003D poly (96% l-lactic acid) (PLA) resin from NatureWorks LLC (Minnetonka, MN) were mixed with 300 g of cyclodextrin powder to achieve an approximate inclusion of 10%. The mixture was then dried in a 50°C oven to remove any ambient moisture. Polymer-treated batches were processed utilizing a twin-screw extruder before palletization to formulate a master batch for further processing. Masterbatches were dried at 50°C before processing in a Randcastle single-screw extruder under uniform temperature, screw rpm, and roller rpm to create monolayer cast films. A similar approach was used to prepare control PLA film, citral, coenzyme Q10, and curcumin. Curcumin and coenzyme Q10 films had a slight yellowish tinge in the film, while citral films did not impart any color. The antioxidant release from the film was tested using 3 different solvents: 100% water, 100% methanol, and 50% water-50% methanol mixture. Approximately 3.8-cm2 films were cut from the control, citral, coenzyme Q10, and curcumin. The films were immersed in 3 different solvents separately for 24 h. The antioxidant levels in 3 solvents were tested using 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2’-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) assays. The experiment was replicated 7 times. The data were analyzed using the MIXED procedure of SAS, and significance was considered at a P value of less than .05.
Results: A significant interaction between solvent type and antioxidant (P < .05) resulted in the release of antioxidant from the biodegradable film. A significant interaction observed for both DPPH and ABTS assay. Out of the 3 antioxidants, curcumin showed the greatest antioxidant activity. Curcumin release was more in methanol, followed by a mixture of water and methanol, and water alone when antioxidant activity was measured using DPPH (methanol > mixture > water; P < .05). ABTS assay also indicated curcumin in ethanol resulted in greater release than citral or coenzyme Q10. For example, the ABTS assay indicated curcumin in ethanol led to 73.6% radical scavenging ability, while water as a solvent resulted in 10% radical scavenging ability. Interestingly, there was little difference in antioxidant activity between citral and coenzyme Q10. For both citral and coenzyme Q10, water as a solvent resulted in a better release of antioxidants (only numerical greater DPPH assay results; P > .05) than ethanol or mixture.
Conclusion: The results suggest that cyclodextrin-encapsulated curcumin was able to withstand greater temperatures and resulted in greater antioxidant activity than cyclodextrin-encapsulated citral or coenzyme Q10 films. The antioxidant release was 7-fold greater in ethanol than in a methanol-water mixture or water as a solvent. Release of antioxidants is an important consideration when using them in meat packaging to minimize quality changes with storage time.
Funding Source: This research was in part funded by Ramanathan’s Endowed Chair Funds.
Keywords: polylactic acid, biodegradable, cyclodextrin, encapsulation.
32 Impact of Phosphates as an Enhancement on the Yield and Quality of Marinated Chicken Breasts or Marinated and Breaded Chicken Fritters
Bryant Sawin1, Ambri Harrigal1,*, Olivia Ron2, Trent Schwartz1, Loni Lucherk1, and Ty Lawrence1, 1Department of Agricultural Sciences, West Texas A&M University, Canyon, TX 79016, USA, 2ICL Group, St. Louis, MO 63141, USA *aharrigal@wtamu.edu
Introduction/Objectives: Phosphates improve yield and quality of meats via changes in pH. An increase in pH allows for increased moisture retention and an improvement in shelf life. Phosphates are chelators of cations, which reduce the ability of free radical formation in a product and the subsequent formation of rancid flavors. The objective of this study was to quantify the effects of phosphate treatments upon production yield and quality outcomes when utilized in marinated or marinated and breaded chicken fritters.
Materials and Methods: Chicken breasts were vacuum tumbled for 30 min in 1 of 4 phosphate (0.48% inclusion) treatments ([1] no phosphate control; [2] sodium tripolyphosphate [STPP] with a pH range of 9.5–10.1; [3] Brifisol 512, a blend of 2 phosphates with a pH range of 8.7–9.3; or [4] Brifisol 960, a blend of 2 phosphates and pH range of 9.5–10.1). Salt was included at 0.75% for phosphate inclusion treatments and 1.23% for control. All samples rested for 5 min after tumbling and were then vacuum packaged and frozen (−23.3°C). Breaded chicken fritters were similarly produced, utilizing no phosphate control, STPP, Brifisol 450, a blend of 3 phosphates with a pH range of 7.2 to 7.8, and Brifisol 960 at 0.48% inclusion. Batter was mechanically added to each chicken breast, prior to being par fried, cooked to an internal of 71.1°C before cooling, and then vacuum packaged and frozen (−23.3°C). After 30 d of frozen storage (−23.3°C), marinated samples were thawed and evaluated for purge loss, cooking loss, thiobarbituric acid reactive substances (TBARS) of raw and cooked samples, and aerobic plate count (APC) of raw samples after 1 d, 5 d, 9 d, and 13 d of refrigerated storage (3.3°C). Trained sensory panelists evaluated marinated chicken breasts for overall flavor, saltiness, bitterness, metallic flavor, particle size, tooth pack, tenderness, juiciness, and hardness. Breaded chicken fritters were analyzed for brine uptake, batter pickup, and cook loss. Breaded chicken fritters were also cooked from frozen in a deep fryer and evaluated by a trained sensory panel for overall flavor, saltiness, juiciness, tenderness, hardness, and crunchiness. Mixed models were used for analysis. Phosphate treatment and time in refrigerated storage were fixed effects. Single degrees of freedom contrasts tested Brifisol versus STPP, phosphate treatments versus control, and linear and quadratic time effects.
Results: No difference in brine pickup of marinated chicken breasts was detected between treatments (P = .812). An interaction (P < .001) occurred for purge loss, in which control samples had increasingly greater purge losses over time compared to phosphate treatments that all tended to follow a similar decreasing pattern over time, with a slight increase on the last day. Phosphate treatments had less purge losses (P = .001) than control. Brifisol 960 had lower purge losses than Brifisol 512, whereas STPP was similar and intermediate to both phosphate blends. Purge losses increased (P = .004) over time after thawing in a quadratic manner. Cooking losses did not differ between phosphate treatments (P = .112) or due to time (P = .811) after thawing. Samples differed (P = .008) in APC between treatments. STPP (5.06 Log CFU/g) tended to differ (P = .065) from Brifisol 960 (4.68 Log CFU/g) but was higher (P < .004) than Brifisol 512 (4.43 Log CFU/g) and control (4.43 Log CFU/g) samples. APC values increased (P < .001) over time after thawing in a quadratic manner. Control (1.79 mg/1000 g) samples had higher (P = .005) cooked sample TBARS values than Brifisol 960 (0.62 mg/1000 g) and Brifisol 512 (0.51 mg/1000 g) but were not different from STPP (1.10 mg/1000 g) samples. No difference (P = .190) was detected between treatments in uncooked sample TBARS values. No difference (P = .200) was detected between treatments for overall chicken flavor. Control samples were reported by trained panelists to be saltier (P = .002) than all other treatments. No difference (P ≥ .115) was detected between samples for bitter or metallic off flavors, particle size, tooth pack, tenderness, juiciness, or hardness. For breaded chicken fritters, differences between phosphate treatments were not detected for percentage brine uptake (P = .113), percentage batter pickup (P = .194), or cooking losses (P = .229). No differences (P ≥ .407) were detected for overall chicken flavor, saltiness, juiciness, or hardness. Control samples were rated crunchier (P < .001) than those that included STPP or Brifisol 960, whereas samples that included Brifisol 450 were intermediate.
Conclusion: In marinated chicken breasts, phosphate samples had consistently lower purge loss over time compared to control. No difference was detected between cook loss of all treatments. Brifisol 512 and 960 had lower cooked TBARS than control but were not different than STPP. The addition of phosphates did not alter sensory flavors of marinated chicken breasts. With the exception of crunchiness, no differences were detected in breaded chicken fritters.
Funding Source: Research funded by ICL Group of St. Louis.
Keywords: food safety, palatability, poultry, processing.
33 Impact of Ultraviolet-A Spectrum Dehydration on the Shelf Stability of Beef Jerky
Mohammed A. Alruzzi*, Fatema R. Mishu, Madeleine R. Monsivais, Luis J. Bastarrachea, and Sulaiman K. Matarneh, Department of Nutrition, Dietetics and Food Sciences, Utah State University, Logan, UT 84322, USA *mohammed.alruzzi@usu.edu
Introduction/Objectives: Drying is a widely used preservation method to inhibit microbial growth and deterioration reactions, effectively extending the shelf life of foods. Various drying techniques are available, including hot-air drying, freeze drying, microwave drying, osmotic drying, and ultraviolet (UV) light drying, each with advantages and limitations. UV light in the A spectrum (UV-A) is an effective nonthermal drying method that remains largely unexplored in the meat industry. Jerky is a cured and dried meat product typically made from lean beef cuts and dehydrated in a smokehouse to achieve a water activity (aw) of 0.85 or lower. This study aimed to compare the physicochemical properties of jerky dehydrated with UV-A light to that dehydrated in a conventional convection oven over an extended storage period.
Materials and Methods: Six beef top rounds of similar weight and quality grade were obtained from a local beef processing facility. From each top round, 80 uniform beef strips (3.5 × 1.25 × 0.2 in) were obtained and weighed. Strips were treated with sodium nitrite (40 mg/kg), erythorbate (550 mg/kg), and salt (15 g/kg), then incubated overnight at 4°C. The following day, 40 strips from each top round were randomly selected, individually weighed, and dehydrated in a thermal oven at 93.3°C for 55 min, while the remaining 40 strips were dehydrated in a UV-A light chamber for 255 min. The yield after dehydration was calculated by reweighing the strips and expressing the final weight as a percentage of the initial weight. Drying durations were selected to yield similar final moisture contents across treatments. The jerky produced from each dehydration method was divided into 5 equal portions, with each portion individually vacuum packaged. One package from each dehydration method was used immediately (no storage; 0 d), while the remaining packages were stored at room temperature, with constant illumination of 12 h/d for 30 d, 60 d, 120 d, or 180 d. The packages were opened at the end of each storage period, and the jerky was tested for moisture content, aw, Warner-Bratzler shear force (WBSF), color, and lipid oxidation. Obtained data were analyzed with a mixed model for repeated measures in JMP (SAS Institute Inc., Cary, NC). The statistical model included the fixed effects of treatment, storage duration, and their interaction and the random effect of the top round.
Results: Both moisture content and aw decreased over time in both drying methods (P < .0001). However, no differences in moisture and aw were detected between treatments at any time point. WBSF values were greater in UV-A light-dried jerky than their oven-dried counterparts at 120 d (P = .01), while no differences were observed at any other time point. Jerky dehydrated with UV-A light had lesser lightness (L*) and yellowness (b*) values at all time points compared to those dehydrated in the oven (P ≤ .03). Redness (a*) differed between the 2 drying methods at only 180 d, with lesser a* values for the UV-A light-dried jerky than the oven-dried samples (P < .001). Lipid oxidation was evaluated with thiobarbituric acid reactive substances (TBARS), with an increase in TBARS observed in both treatments as storage time progressed (P < .0001). UV-A light-treated samples exhibited greater TBARS values at 120 d and 180 d compared to the control samples (P ≤ .03).
Conclusion: Our results demonstrate that UV-A light drying produces jerky with comparable moisture content, aw, and WBSF compared to oven drying over a 180-d storage period. Color analysis revealed lower color intensity in the UV-A light-dehydrated samples, an effect maintained throughout the entire storage period. Although UV-A samples exhibited greater lipid oxidation at 120 d and 180 d, values remained below the threshold of sensory-detectable rancidity. These findings highlight the potential of UV-A light as a viable alternative to conventional thermal drying methods. However, due to its nonthermal nature, UV-A light dehydration alters some jerky characteristics, necessitating sensory analysis to evaluate consumer acceptance.
Funding Source: Utah Agricultural Experiment Station.
Keywords: beef jerky, drying, lipid oxidation, ultraviolet, shelf stability.
34 Effects of Sous-Vide Cookery on Tenderness, Degrees of Doneness, and Cook Loss Compared to Clamshell Cookery
D. Hamilton Thomas*, Clint T. Lee, Muhammad Junaid Nawaz, J. Anna Scott, and Alexander M. Stelzleni, University of Georgia, Athens, GA 30602, USA *hamp@uga.edu
Introduction/Objectives: Traditional clamshell (CS) cooking methods have variation in cooking time, degrees of doneness (DOD), and max temperature. Sous vide (SV) is a form of cooking utilizing a controlled circulating water bath to cook sealed vacuum-packaged products. This method has grown in popularity in research methodology and for consumers and the restaurant industry for its consistent results and temperature control. While some research has been done, there is still more information to be gained on the impact of SV and holding times. Information gained from such research will aid in restaurant and home chef efficacy, optimizing the benefits of SV techniques. The objective of this study was to evaluate the effects of cooking method (CM) with extended SV times and location (LOC) within the last one-third section of the longissimus lumborum (LL) on texture attributes and cooking losses.
Materials and Methods: Twenty frozen posterior one-third sections of LL were selected from a prior finishing study (aged 14 d). Four frozen steaks (2.5-cm thick) were cut out of each section using a guiding edge on bandsaw. Steaks were labeled by LOC (1–4), anterior to posterior, and any presence of vein steak or Gluteus medius was noted. The steaks were vacuum packaged with respective labels and placed back in the freezer (−25 ± 2°C) before any thawing could occur. Steaks were blocked by LOC and assigned to 1 of 4 cooking treatments: CS (CM), SV without holding time (SV0), SV plus 30 min holding time (SV30), and SV plus 60 min holding time (SV60). All steaks were cooked to target a final cooking temperature of 57.2°C. Frozen weight, total loin eye area (including fat), LL area only, and 4-point thickness were measured before steaks were thawed in a cooler (2 ± 2°C; 24 ± 2 h). The steaks in CS were cooked and removed from the heat source at 55°C to compensate for residual heat transfer through the steak. The SV treatments had the water bath set at 57.2°C, SV0 steaks were removed upon reaching the 57.2°C, SV30 steaks were removed 30 min after reaching 57.2°C, and SV60 steaks were removed 60 min after reaching 57.2°C. All steaks were monitored after cooking to ensure the maximum temperature was recorded. After cooking, samples were placed in the cooler (2 ± 2°C) for 22 h plus or minus 2 h on trays wrapped with cling film. Six cores (1.27-cm diameter) were removed parallel to the muscle fibers. Sample cores were sheared perpendicular to the muscle fibers using a v-slot blade after equilibrating to room temperature. The peak force (kg) of the 6 cores from each steak was averaged for Warner-Bratzler shear force (WBSF). Data were analyzed as a randomized complete block design with 4 × 4 factorial arrangement using the Proc-MIXED procedure of SAS 9.4. Fixed effects included CM and LOC, and the random term was cooking day. Means were separated using the PDIFF option of LSMEANS with at α less than or equal to 0.05.
Results: All steaks had a marbling score of 545 plus or minus 120. There were no CM × LOC interactions for total loin eye area, LL area, thaw loss, cooking time, cooking loss, WBSF, or DOD (P > .05). As expected, as LOC progressed from anterior to posterior, LL area was reduced (P < .01) but did not influence cook time. Steak LOC affected (P < .03) thaw loss, where LOC1 had greater (P < .03) thaw loss than LOC2, LOC3, and LOC4, while LOC2, LOC3, and LOC4 were not different from each other (P > .05). The CS had 8.62% and 7.1 % greater cook loss from SV0 and SV30, respectively (P < .02), and was not different (P > .05) from SV60. SV60 had 7.05% greater (P < .02) cook loss than SV0 and was not different (P > .05) from SV30. Steak LOC did not affect (P > .05) cook loss. WBSF was not different among SV0, SV30, and SV60 (P > .05); however, CS had greater (P < .05) WBSF than any of the SV treatments. There was no LOC effect on WBSF (P > .05). CM impacted DOD (P < .01). CS had greater DOD than SV0, SV30, and SV60 (P < .01), whereas there was no difference found in DOD among all 3 SV treatments. DOD were not affected (P > .05) by LOC.
Conclusion: SV cookery of LL steaks will decrease cooking loss, result in a more consistent DOD, and provide a more tender product. Steaks cooked SV to 57.2°C can also be held in SV for up to 60 min without influencing objective tenderness but may impact cook yields.
Funding Source: US Department of Agriculture—Hatch.
Keywords: sous vide, tenderness, yield.
35 Untapped Potential: How Clean Label, Native Pea Starch Can Improve Yield and Texture of Emulsified Meat
James Chapa* and Aubrey Hunsaker, Ingredion, Englewood, CO 80112, USA *james.chapa@ingredion.com
Introduction/Objectives: Starch is widely used in diverse meat products to improve water holding, yield, purge, and freeze-thaw stability. Corn and potato-based starches are commonly used, with the latter usually improving textural firmness and cook yield due respectively to its higher amylose content and lower gelatinization temperature, whereby the starch binds water as meat proteins denature and starts losing water. Pea starch is available as a coproduct of pea protein isolate manufacture but is currently underutilized in the United States compared to Europe. Pea starch may perform well in meat applications due to its low gelatinization temperature and elevated amylose content but has also been expected to result in higher purge compared to other starches. The objectives of this work included evaluation of the performance of pea starch in a typical emulsified meat application compared to sodium tripolyphosphate (STPP) and corn starch and determination of the impacts of different pea starch use levels.
Materials and Methods: Pea starch was evaluated in frankfurters made with mechanically separated chicken at 1%, 2.25%, and 3.5% starch use levels compared to a negative control, a phosphate control (made with 0.50% STPP), and a native corn starch control (made with 2.25% corn starch) (see Table 1). Frankfurter batters were prepared by thawing frozen mechanically separated chicken and chopping with other formula ingredients to a final temperature of 55°F to 60°F; vacuumized; stuffed into 26-mm diameter cellulose casings; thermally processed in an Enviro-Pak smokehouse with schedule comprising drying (30 min at 130°F with 40% relative humidity), smoking (60 min at 145°F with 40% relative humidity and pecan hardwood smoke), and steam cooking (at 170°F to internal temperature of 160°F); cold water showered; pealed; vacuum packaged; and stored refrigerated (34°F) for further analysis. Two processing replications were prepared for each treatment. Cook yield was determined by weighing 6 links of each treatment before and after smoking and cooling. Purge, color, pH, and texture were analyzed every week for 4 wk of refrigerated storage (34°F). Purge was evaluated as the weight of liquid remaining in each package as a percentage of the total weight. L*a*b* color was evaluated using a Konica Minolta CM-600d spectrophotometer. pH was evaluated with a calibrated Thermo-Scientific flat surface pH electrode. Texture was analyzed instrumentally with a texture analyzer performing texture profile analysis (TPA) to 60% strain on sections of each frankfurter cut to 30-mm height and brought to room temperature (a minimum of 18 sections were measured per treatment). Statistical analysis comprising analysis of variance and Tukey post-hoc analysis were performed in Minitab® version 22.2.1. Samples of 2 different brands of frankfurters made with mechanically separated chicken were also purchased from the market and analyzed with the same methods for benchmarking purposes.
Results: Cook yields exhibited a narrow range from 86.4% plus or minus 0.14% to 87.9% plus or minus 0.54%. As shown in Table 2, within this range, the 3.5% pea starch and 2.25% corn starch treatments resulted in the highest cook yields. One percent and 2.25% pea starch treatments neither increased nor negatively impacted yield compared to the negative and phosphate controls. In-package purge results from were not statistically different (P = .697), ranging from 1.30% to 1.93% plus or minus 0.39%, within the range of the 2 evaluated market benchmark samples (1.18–2.62%). All treatments narrowly ranged in pH from pH 6.44 to 6.51 plus or minus 0.03, which is more similar to the mean pH of 1 of the 2 evaluated market benchmark samples than the other (6.43 ± 0.02 vs. pH 6.16 ± 0.01). The phosphate control exhibited an expected slightly raised pH, whereas the starch treatments had little impact on pH compared to the negative control. All treatments exhibited similar L*a*b* color to market benchmark samples (L*: 56.1–60.3, a*: 13.7–20.2, b*: 14.1–22.7). No starch treatment significantly increased the L* value as might be expected due to their bright white color. As shown in Table 3, the TPA results were in a similar range as the 2 market benchmark samples, which did exhibit significant textural differences from each other. Resilience, cohesiveness, and chewiness were strongly impacted if the first TPA compression resulted in total fracture of the sample, which did occur for all tested samples of the market benchmark frank #1 but not market benchmark frank #2. Two point twenty-five percent and 3.5% pea starch resulted in the highest hardness, springiness, cohesiveness, and chewiness of the starch treatments (only the hardness of 2.25% pea starch was statistically higher than controls and corn starch). One percent pea starch underperformed on hardness, chewiness, and resilience but still statistically increased these parameters compared to the phosphate and negative controls. Overall, although there were statistical differences, the magnitude of differences between treatments in this study was not robust, suggesting that more significant process changes, such as switching casing type and/or altering the smoke schedule, and/or formula changes, such as varying the mechanically separated chicken content, testing with additional animal protein sources (e.g., pork, beef, or blends), or evaluating special conditions such as low fat, low sodium, or high extension conditions will be required for a comprehensive understanding of the functional utility of pea starch in emulsified meat products.
Conclusion: While the optimal use level of pea starch in different meat products will depend on specific formulas and processes, in this study 2.25% and 3.5% pea starch resulted in comparable instrumental textures, whereas only 3.5% pea starch increased cook yield, and no starch treatment increased in-package purge. Although further research is needed, this study suggests that pea starch has potential to be used similarly to other native starches in emulsified meat applications, where it can assist with water holding and help enable common industry objectives such as yield improvement, phosphate replacement (for clean label products), texture modulation, and cost reduction. Next steps include larger scale processing, sensory evaluations, and testing pea starch in a broader range of products, such as sliceable deli meats.
Mechanically separated chicken frankfurter formula treatments
| Negative Control | Phosphate Control | 1% Pea Starch | 2.25% Pea Starch | 3.5% Pea Starch | 2.25% Corn Starch | |
|---|---|---|---|---|---|---|
| Mechanically separated chicken, % | 71.50 | 71.50 | 71.50 | 71.50 | 71.50 | 71.50 |
| Water/ice, % | 21.44 | 20.94 | 20.44 | 19.19 | 17.94 | 19.19 |
| Salt, % | 1.85 | 1.85 | 1.85 | 1.85 | 1.85 | 1.85 |
| Dextrose, % | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| Hot dog seasoning, % | 1.20 | 1.20 | 1.20 | 1.20 | 1.20 | 1.20 |
| STTP (Innophos), % | 0.50 | |||||
| PURITY pea 1002 native pea starch (Ingredion), % | 1.00 | 2.25 | 3.50 | |||
| MELOJEL native corn starch (Ingredion), % | 2.25 | |||||
| Cure salt (125 ppm nitrite [6.25%]), % | 0.20 | 0.20 | 0.20 | 0.20 | 0.20 | 0.20 |
| Sodium erythorbate, % | 0.06 | 0.06 | 0.06 | 0.06 | 0.06 | 0.06 |
| Opti. form PD4 (Corbion), % | 2.75 | 2.75 | 2.75 | 2.75 | 2.75 | 2.75 |
| 100% | 100% | 100% | 100% | 100% | 100% |
STTP, sodium tripolyphosphate.
Cook yield, in-package purge, pH, and L*a*b* color results (mean and standard deviation)
| Color | ||||||
|---|---|---|---|---|---|---|
| Treatment | Cook Yield (%) | Purge (%) | pH | L* | a* | b* |
| Negative control | 87.24ab ± 0.06 | 1.67a ± 0.22 | 6.47ab ± 0.05 | 58.25b ± 0.87 | 13.40d ± 0.37 | 18.87cd ± 0.70 |
| Phosphate control | 86.36b ± 0.14 | 1.93a ± 0.52 | 6.51a ± 0.02 | 57.47c ± 0.44 | 14.25b ± 0.41 | 19.70b ± 0.63 |
| 1% pea starch | 86.57b ± 0.11 | 1.84a ± 0.06 | 6.45b ± 0.02 | 58.06bc ± 0.66 | 13.92bc ± 0.22 | 19.06cd ± 0.76 |
| 2.25% pea starch | 86.84b ± 0.35 | 1.59a ± 0.46 | 6.44b ± 0.02 | 58.05bc ± 0.55 | 14.00bc ± 0.46 | 19.13bcd ± 0.52 |
| 3.5% pea starch | 87.93a ± 0.54 | 1.67a ± 0.26 | 6.44b ± 0.04 | 58.18b ± 0.47 | 14.22b ± 0.20 | 19.47bc ± 0.83 |
| 2.25% corn starch | 87.82a ± 0.00 | 1.30a ± 0.56 | 6.44b ± 0.01 | 57.52c ± 0.45 | 13.93bc ± 0.20 | 18.81d ± 0.21 |
| Market benchmark frank #1 | Unknown | 1.18 | 6.16c ± 0.01 | 60.34a ± 0.40 | 13.96cd ± 0.36 | 14.13e ± 0.29 |
| Market benchmark frank #2 | Unknown | 2.62 | 6.43b ± 0.02 | 56.11d ± 0.42 | 20.19a ± 0.19 | 22.70a ± 0.28 |
Means that do not share a letter within a table column are significantly different at the α = 0.05 significance level.
Texture profile analysis results (mean and standard deviation)
| Treatment | Hardness (g) | Springiness (%) | Cohesiveness (%) | Chewiness (g) | Resilience (%) |
|---|---|---|---|---|---|
| Negative control | 1923f ± 618.0 | 90.54b ± 4.38 | 50.79c ± 6.33 | 2258d ± 361.0 | 26.45c ± 4.88 |
| Phosphate control | 5031f ± 372.6 | 92.17b ± 1.48 | 61.74a ± 4.91 | 2865c ± 325.2 | 32.14ab ± 1.89 |
| 1% pea starch | 5764de ± 618.0 | 92.04b ± 1.22 | 55.41bc ± 6.79 | 2957c ± 576.0 | 29.56b ± 3.49 |
| 2.25% pea starch | 6493b ± 952.0 | 92.47b ± 1.29 | 62.34a ± 4.77 | 3730b ± 524.0 | 29.81b ± 4.64 |
| 3.5% pea starch | 6481bc ± 837.0 | 91.28b ± 2.22 | 60.15ab ± 6.38 | 3551b ± 561.0 | 30.86b ± 2.88 |
| 2.25% corn starch | 5911cd ± 496.4 | 91.04b ± 2.12 | 55.97bc ± 8.30 | 3029c ± 584.0 | 29.81b ± 3.49 |
| Market benchmark frank #1 | 53.07ef ± 414.5 | 96.86a ± 1.97 | 29.50d ± 3.93 | 4193a ± 505.0 | 34.52a ± 1.99 |
| Market benchmark frank #2 | 7132a ± 727.0 | 91.12b ± 1.14 | 64.52a ± 3.98 | 1514e ± 217.0 | 12.37d ± 1.58 |
Means that do not share a letter within a table column are significantly different at the α = 0.05 significance level.
Funding Source: Ingredion.
Keywords: starch, emulsified, frankfurter, phosphate, pea.
36 Defining the Parameters of High-Pressure Processing to Improve the Visual Appearance of Dark-Cutting Beef
Ashley A. Hahn1,*, Leila G. Venzor1, Shelley A. Curry1, Grace C. Johnson1, Mary-Grace Danao2, Ranjith Ramanathan3, Jordan C. Wicks1, and Gary A. Sullivan1, 1Department of Animal Science, University of Nebraska–Lincoln, Lincoln, NE 68588, USA, 2Department of Food Science and Technology, University of Nebraska–Lincoln, Lincoln, NE 68588, USA, 3Department of Food and Animal Sciences, Oklahoma State University, Stillwater, OK 74078, USA *ahahn17@huskers.unl.edu
Introduction/Objectives: Dark-cutting beef has been a persistent issue for the beef industry, highlighting the need for mitigation strategies. Previous research has observed the use of high-pressure processing (HPP) to increase the lightness and redness of dark-cutting beef; however, knowledge on the optimal combination of pressure and holding time is limited. Therefore, the objective of this study was to define the parameters to achieving an improved visual appearance in dark-cutting beef.
Materials and Methods: Twelve dark-cutting (mean pH = 6.6) striploins were obtained from a commercial beef processor. Five days after collection, striploins were cut into five 6.35-cm sections, randomly assigned an HPP treatment, and vacuum packaged for processing. Each striploin was randomly assigned a pressure of either 300 MPa or 450 MPa, then subsequent sections were assigned 1 of 5 holding times (in seconds): 0 (no HPP, control), 1 (HPP pressurization), 30, 60, and 90. After 48 h of dark storage post-HPP treatment, sections were cut into 3 steaks for objective and subjective color, pH, thiobarbituric acid reactive substances (TBARS), and Warner-Bratzler shear force (WBSF). Color measurements were obtained for days 0 through 7 of retail display, whereas pH and TBARS values were measured for days 0, 3, and 7 and WBSF for days 0 and 7. Data were analyzed with the GLIMMIX procedure of SAS 9.4 by pressure within day for the main effect of holding time using a randomized complete block design with loin considered a random effect.
Results: Prior to HPP application, there were no differences among samples assigned to different treatments for lightness (L*), redness (a*), and yellowness (b*). At 300 MPa, there was a holding time effect for L* (P ≤ .0362), except on days 1 (P = .1626) and 6 (P = .1598). The 90-s treatment had greater lightness than the HPP pressurization group for days 0, 2, 3, and 4 (P ≤ .0046) as well as the non-HPP control and the 30-s groups on day 5 (P = .0055). At the 450-MPa pressure, the steaks with 60-s and 90-s holding times were lighter than the non-HPP and HPP pressurization groups for all days (P < .0001). For redness, there was an effect due to HPP treatment for all days (P ≤ .0019) at both pressure levels. The 30-, 60-, and 90-s treatments were redder than the HPP pressurization group at the 300-MPa pressure and the non-HPP control at the 450-MPa pressure. Similarly, yellowness values were greater for the 60-s and 90-s groups compared to the HPP pressurization group at 300 MPa. Furthermore, the 30-, 60-, and 90-s groups had greater yellowness than the non-HPP control at the 450 MPa. For subjective color assessments, the 300-MPa pressure the 90-s treatment had lower color scores, indicating a lighter lean color than the non-HPP control, HPP pressurization, and 30-s groups for all days (P ≤ .001). At 450 MPa, the non-HPP control showed the greatest color score with the 30-, 60-, and 90-s treatments having among the lowest scores (P < .0001). There were minimal differences between holding times for surface discoloration at both pressures. For laboratory analyses, the 300-MPa group had differences between treatments for TBARS values on day 3, with the 90-s group having greater lipid oxidation than the non-HPP controls (P = .0109). For the 450-MPa pressure, the 30-, 60-, and 90-s times had greater lipid oxidation than the non-HPP control for all days and the HPP pressurization group on days 3 and 7 (P < .0001). There were no differences between treatments for pH at either pressure (P ≤ .1578). Also, differences in WBSF values were observed on day 7 at 450 MPa, where the 90-s group exhibited higher shear force values than the non-HPP control and HPP pressurization groups (P = .0032).
Conclusion: Results indicate that improved appearance can be seen at the 300-MPa pressure when held for 30 s or more by increasing lightness and redness values. Additionally, minimal effects on lipid oxidation and tenderness were observed at this pressure. At 450 MPa, lightness and redness were increased. However, treatment at this pressure with longer holding times may result in excessive lightening as well as increased lipid oxidation.
Funding Source: This project was funded in part by the National Beef Cattlemen’s Association.
Keywords: dark-cutting beef, high-pressure processing, holding time, color.
37 Utilizing High-Pressure Processing to Improve Dark-Cutting Beef Appearance in Psoas Major
Ashley A. Hahn1,*, Leila G. Venzor1, Shelley A. Curry1, Grace C. Johnson1, Mary-Grace Danao2, Ranjith Ramanathan3, Gary A. Sullivan1, and Jordan C. Wicks1, 1Department of Animal Science, University of Nebraska–Lincoln, Lincoln, NE 68588, USA, 2Department of Food Science and Technology, University of Nebraska–Lincoln, Lincoln, NE 68588, USA, 3Department of Food and Animal Sciences, Oklahoma State University, Stillwater, OK 74078, USA *ahahn17@huskers.unl.edu
Introduction/Objectives: High-pressure processing (HPP) has previously been explored as a mitigation strategy for improving the visual appearance of dark-cutting beef. However, previous studies have focused primarily on Longissimus lumborum, a color stable muscle, but limited knowledge is available on the effect of HPP on color labile muscles such as the Psoas major, commonly known as the tenderloin. Therefore, the objective of this study was to examine the effect of HPP on dark-cutting color labile muscle.
Materials and Methods: Six normal-pH (mean pH = 5.4) and 12 dark-cutting (mean pH = 5.8) tenderloins were collected from a commercial beef processor. Five days after collection, tenderloins were portioned into two 10.0-cm sections, randomly assigned an HPP treatment, and vacuum packed. Dark-cutting tenderloins were assigned a pressure (300 or 450 MPa), then subsequent sections were assigned a holding time of either 90 s or 0 s (no HPP, dark-cutting control). Normal-pH tenderloins served as a control and had no HPP treatment applied. Following 48 h of dark storage after HPP, tenderloin sections were portioned into 2.4-cm and 1.2-cm steaks for simulated retail display and further laboratory analysis, including objective and subjective color, pH, thiobarbituric acid reactive substances (TBARS), and Warner-Bratzler shear force (WBSF). Objective and subjective color were collected for days 0 through 7 of retail display, pH and TBARS values were found for days 0, 3, and 7, and WBSF were obtained for days 0 and 7. Data were analyzed using the GLIMMIX procedure of SAS 9.4 for the main effect of HPP treatment within day (where applicable) utilizing a randomized complete block design. Mean separation was determined at a significance of a P value less than or equal to .05.
Results: Prior to HPP treatment, there were no differences among dark-cutting samples treatments for lightness, redness, or yellowness. For lightness (L*), there was a treatment effect for all days of retail display (P < .0001). The 450-MPa treatment was the lightest for all days and the non-HPP dark-cutting control was the darkest for all days and similar to the normal-pH control streaks for days 4 to 7 (P < .05). Additionally, there was a treatment effect for redness (a*) values for all retail days (P ≤ .0153), except days 1 (P = .1123) and 2 (P = .068). The 450-MPa group had greater redness values than the non-HPP dark-cutting control for day 0 (P = .0153). However, for days 3 to 7, the 450-MPa treatment had lower a* values than the normal-pH and non-HPP dark-cutting controls and was similar to the 300-MPa treatment (P ≤ .05). Similarly, there was a treatment effect for yellowness (b*) for all days (P ≤ .013). The 450-MPa treatment showed greater yellowness (b*) than the non-HPP dark-cutting control for days 0 to 3, then showed the greatest yellowness for the remainder of the retail display (P < .05). For surface discoloration, there was a treatment effect for all days (P ≤ .0097), except day 0 (P = .2853). The 450-MPa treatment showed the greatest surface discoloration for days 1 to 3, had greater discoloration than the normal-pH and dark-cutting controls, but was no different from the 300-MPa treatment for days 4 to 7 (P < .05). Similarly, there was a treatment effect for color scores and paleness scores for all days (P ≤ .0005; P < .0001). The 450-MPa treatment also exhibited the lowest color score and the greatest paleness scores throughout the retail display (P < .05). Furthermore, the 450-MPa treatment showed the greatest TBARS values for days 3 and 7 (P < .0001). There was no difference between treatments for pH for any of the days (P < .05). Also, the 450-MPa group showed greater WBSF values than the non-HPP dark-cutting control for day 0 (P = .0148). For day 7, the 450-MPa treatment had the greatest WBSF values, the dark-cutting control group had the lowest values, and the normal-pH controls and 300-MPa treatments were intermediate (P < .0001).
Conclusion: When treated at 300 MPa for 90 s, dark-cutting tenderloin steaks had increased lightness values as well as minimal adverse effects on lipid oxidation and tenderness, resulting in steaks more similar to the normal-pH controls than other treatment groups. However, dark-cutting tenderloins treated at 450 MPa for 90 s results in excessive lightening in addition to increased lipid oxidation.
Funding Source: This project was funded in part by the National Beef Cattlemen’s Association.
Keywords: dark-cutting beef, high-pressure processing, color, color labile, tenderloin.
38 Evaluation of Cooked Color and Descriptive Sensory Attributes of Whole Muscle Steaks Under Nitric Oxide Modified Atmosphere and Traditional Packaging Systems
Elizabeth Neal1,*, Thomas Dobbins1, Benjamin Carpenter1, Samantha Barker1, Sebastian Hernandez1, Chance Brooks1, Dale Woerner1, Jerrad Legako1, Ranjith Ramanathan2, 1Department of Animal and Food Sciences, Texas Tech University, Lubbock, TX 79415, USA, 2Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA *elizneal@ttu.edu
Introduction/Objectives: At retail, perceived wholesomeness and freshness of meat products is largely dictated by meat color. Thus, discarded meat at the retail level can largely be attributed to discoloration. Already, a variety of packaging technologies exist that aim to improve discoloration and in turn extend the shelf life of fresh meat products. However, these traditional packaging systems have proven to be detrimental to certain quality factors, indicating the necessity of novel technologies. Therefore, the objective of this study was to compare cooked color development and sensory performance of Longissimus lumborum (LL) and Psoas major (PM) beef steaks in nitric oxide modified atmospheric packaging (MAP) to traditional packaging technologies.
Materials and Methods: Vacuum-packaged beef striploins (n = 13) and whole tenderloins (n = 25) were collected from US Department of Agriculture low-choice carcasses and aged at 0°C to 2°C, in the dark for 7 d. Following aging, subprimals were sliced into 2.54-cm thick steaks representing the LL and PM and assigned to packaging treatments: vacuum (n = 40), polyvinyl chloride overwrap (PVC, n = 40), 80% O2 to 20% CO2 (HI-OX, n = 40), 0.4% CO to 30% CO2 to 69.6% N2 (CO, n = 40), or 0.4% NO to 99.6% N2 (NO, n = 40). Steaks designated for MAP were placed into 2.5-cm deep plastic trays and flushed with their designated gas. Packages were then stored for 7 d at 2°C in the dark. After acclimation, samples designated to PVC were removed from vacuum and overwrapped. All samples allotted to cooked color or trained sensory analysis were placed in a simulated retail display for 48 h prior to freezing where samples were maintained at −20°C until further analysis. For all cooked analysis, steaks were cooked to an internal temperature of 71°C on a commercial flat-top grill. Visual color was evaluated on the internal cooked surface by trained panelists (n = 6) using an 8-point scale, where 1 represents very bright red and 8 represents tan to brown. Additionally, external uniformity was evaluated using a 5-point scale, where 1 represents no variation and 5 represents extreme variation. Instrumental color was evaluated using a HunterLab spectrophotometer, where L*, a*, and b* values were recorded for both external and internal cooked surfaces. For descriptive sensory, panelists (n = 6) were trained to evaluate 18 attributes relative to palatability. Data were analyzed as a randomized block design, where packaging type, muscle, and their interactions served as the fixed effects. Peak temperature, session, and order were included in the respective models as covariates. Statistical significance was determined at a P value of less than or equal to .05.
Results: Internal a* values were impacted by the packaging type muscle interaction (P < .001). NO-MAP steaks from both the PM and LL exhibited a redder internal color compared to Rollstock, PVC, CO-MAP, or HI-OX packaged PM steaks and HI-OX samples from the LL; however they were similar in color to LL steaks from Rollstock, PVC, and G2 packages. The packaging type muscle interaction had no impact on internal L* values or external L*, a*, and b* values (P > .05). Additionally, no visual color or sensory traits were impacted by the packaging type muscle interaction (P > .05). However, instrumental and visual color were each impacted by packaging type (P < .05). More specifically, NO-MAP packages were redder on the external cooked surface compared to CO-MAP, HI-OX, Rollstock, and PVC (P < .05), while the latter packaging types had similar a* values (P > .05). Additionally, NO-MAP samples presented slight variation on the external cooked surface compared to all other packaging types (P < .05). CO-MAP, HI-OX, and PVC did not differ and were rated to have no variation (P > .05). Both NO-MAP and CO-MAP packages exhibited a brighter red internal cooked color appearance compared to HI-OX samples, which were tanner to brown (P < .05). External cooked color variation was also impacted by muscle (P < .001), where LL steaks exhibited a greater amount of variation on the external surface than PM steaks. Despite cooked color differences, notable distinctions among NO-MAP samples compared to Rollstock, CO-MAP, or PVC were limited. Nonetheless, scores for beef identity and umami were impacted by packaging type (P < .001), where HI-OX samples were overall less beefy and had less umami than NO-MAP, CO-MAP, Rollstock, or PVC packages (P < .05). Similarly, cardboardy and fishy off flavors were impacted by packaging type (P < .001). HI-OX samples were perceived to be more cardboardy as well as fishier compared to any other packaging type (P < .05). Additionally, HI-OX packages were overall more bitter than Rollstock, PVC, CO-MAP, or NO-MAP packages (P < .05). The cardboardy sensory trait was also impacted by muscle (P < .001), where PM steaks elicited a greater cardboardy off flavor compared to LL steaks.
Conclusion: Generally, NO-MAP samples performed similarly to traditional packaging systems regardless of muscle with the exception being HI-OX packaging and off flavors associated, which were enhanced in the PM. While NO-MAP has a marginal impact on sensory performance of steaks from the LL or PM, NO-MAP also promotes a unique cooked color possessing greater redness. Increased redness on both the external and internal cooked surface warrants further investigation to determine the acceptability of NO-MAP for fresh beef.
Funding Source: Research coordinated by the National Cattlemen’s Beef Association, a contractor to the Beef Checkoff.
Keywords: steaks, nitric oxide, packaging.
39 Color and Oxidative Stability During Retail Display of Ground Beef Incorporating Freeze-Dried Exudate
Benjamin J. Carpenter1,*, Sabrina E. Blandon1, Leslie D. Thompson1, Jerrad F. Legako1, and Tyson R. Brown2, 1Texas Tech University, Lubbock, TX 79409, USA, 2Cargill, Wichita, KS 67202, USA *Benjamin.Carpenter@ttu.edu
Introduction/Objectives: Currently in the beef industry, exudate is considered a waste byproduct from the freezing, storage, and wet aging of vacuum-packaged cuts. Exudate loss and accumulation can decrease yield and negatively influence consumer perception. While research has attempted to minimize exudate, its use as an ingredient or product enhancer has not been thoroughly evaluated. Research on hemoglobin inclusion in ground beef has demonstrated an ability to inhibit the release of oxidative linear aldehydes while increasing Maillard-derived volatiles. Exudate, which is high in myoglobin, hemoglobin, free iron, and soluble peptides may have a similar effect when freeze dried and added back to ground beef. However, increased free iron could increase oxidation, leading to discoloration and decreased shelf life. Therefore, the objective of this study was to evaluate the performance of freeze-dried exudate (FDE) inclusion in ground beef during retail display through the analysis of instrumental color, descriptive color, surface myoglobin, lipid oxidation, and microbial enumeration.
Materials and Methods: Eight 4.5-kg chubs of 80 to 20 and 8 chubs of 93 to 7 ground beef were purchased from a local purveyor. Chubs were further processed 72 h to 96 h after their initial commercial fabrication. Each chub was designated to different 3.6-kg batches at 0%, 0.5%, 1%, and 2% FDE inclusion (N = 2). Batches were mixed with a hand-crank mixer then formed into 151-g patties using a commercial patty maker. Within each batch, 12 patties were made and designated to 3 different timepoints at 0 h, 48 h, and 96 h of retail display, with 4 repetitions per timepoint per batch (n = 8). Directly after processing, the 0-h patties were sampled for microbial enumeration and homogenized for further analyses. The 48-h and 96-h patties were polyvinyl chloride (PVC) overwrap-packaged and randomly sorted into coffin-style cases with florescent lighting. Temperature was monitored every 12 h (4.1 ± 0.5°C). The patties were removed from the cases at their time points, sampled for microbial enumeration, and homogenized for thiobarbituric acid reactive substances (TBARS) analysis using modified methodology from Luque et al. (2011). Ten grams of each sample were stomached with 90 mL of buffered peptone water. Further dilutions were made, incubated, then enumerated for total aerobic counts, Enterobacteriaceae, and psychrotrophic spoilage microorganisms using the TEMPO system. Samples designated for 96 h were evaluated for color. Instrumental color was evaluated every 12 h using a HunterLab MiniScan EZ 4500. Three scans were taken and averaged for L*, a*, and b* values and were converted to hue and chroma values. Wavelength absorbances were taken to calculate percentage surface deoxymyoglobin, oxymyoglobin, and metmyoglobin using the Krzywicki method. Descriptive color was evaluated by 6 trained panelists every 24 h using percentage surface discoloration and the American Meat Science Association 8-point scale for ground beef display discoloration. Statistical analyses were done in R Studio using a generalized least-squares model fitted with restricted maximum-likelihood and correlation for repeated measures of batch/sample with case as a covariate. Different variance structures were selected based on the lowest Bayesian information criterion score, and nonsignificant interactions were removed from the model. Least-squares means were compared using Tukey’s test and Satterthwaite degrees of freedom. Significance was determined at α less than or equal to 0.05.
Results: For instrumental color, lean level-by-time had an interaction for all measurements (P < .001), and the percentage FDE had a main effect on all instrumental color measurements (P < .001), except hue angle (P = .613) as well as an FDE-by-lean level interaction for L* values (P = .009). The L* values indicate that both lean levels darkened over the display period (P < .05) as well as with increased percentage FDE (P < .05), but the 80% lean was initially lighter (P < .05). Similarly, both lean levels decreased in a* values (redness; P < .05) and increased in b* values (yellowness; P < .05) over time. For a*, b*, and chroma values 0%, 0.5%, and 1%, FDE were similar (P > .05), but 2% FDE had decreased values (P < .05), meaning that they were less saturated and red/yellow. The discoloration indicated by the instrumental color data is further reflected by the descriptive color evaluation, where color score had 3 two-way interactions with FDE, lean level, and time (P < .001) and did not have a 3-way interaction (P = .113). However, percentage discoloration only had an FDE-by-time and lean-by-time interaction (P < .001). The discoloration apparent from the instrumental and descriptive color data can be explained by the myoglobin percentages of the samples. Both metmyoglobin and oxymyoglobin had a lean level-by-time interaction (P < .001) and a percentage FDE main effect (P < .001). Like the a* values, only 2% FDE was different for oxymyoglobin with a decreased percentage (P < .05). Alternatively for percentage metmyoglobin, both 0% and 2% FDE were different, with 0% having the least metmyoglobin and 2% having the most (P < .05). For deoxymyoglobin, an FDE-by-lean level-by-time interaction was noted (P = .010). For the microbial enumeration, there was an FDE-by-time interaction for total aerobic counts (P < .001), Enterobacteriaceae (P = .002), and psychrotrophs (P < .001). For Enterobacteriaceae, the FDE percentages within the same timepoint were not different (P > .05), but the Log CFU/10 g increased with time (P < .05). However, this is not the case for total aerobic plate count which had 1.9 and 1.8 less Log CFU/10 g for 0% FDE at the initial and middle timepoints (P < .05), as well as pyschrotrophs with 1.8 and 1.2 less Log CFU/10 g for 0% FDE at the initial and middle timepoints (P < .05). The TBARS data had an FDE-by-time interaction (P = .001), where FDE percentages within the initial and middle timepoint were not different (P > .05). However, 0% FDE had greater mg/kg equivalents of malondialdehyde than 2% FDE at the final timepoint (P < .05). Additionally, 2% FDE at the final timepoint was not different from the 2% FDE at the middle timepoint (P > .05).
Conclusion: Although myoglobin oxidation may increase with FDE inclusion, leading to less redness and increased discoloration during retail display, lipid oxidation appears to decrease with FDE inclusion as indicated by the TBARS values. The myoglobin percentages follow the expected trend, where oxymyoglobin is converted to metmyoglobin over the retail display leading to less redness and more discoloration. Additionally, increased percentage FDE may increase myoglobin oxidation, likely induced by the prooxidative effect of free iron, which would also promote increased lipid oxidation. However, the increased heme content may further react with primary lipid oxidation products such as malondialdehyde. The decrease in TBARS indicates heme-aldehyde binding, supporting the theory of FDE’s ability to alter flavor development. Therefore, further research is needed to characterize the volatile and sensory profile of ground beef with FDE inclusion; however, concerns with increased microbial counts and discoloration should also be addressed, and alternative packaging could be investigated.
Keywords: hemoglobin, myoglobin, oxidation, shelf life, spoilage.
40 The Study on the Regulatory Effect of Hesperidin on the Physicochemical Properties of Pork Myofibrillar Proteins Under Oxidative Stress
Zhimin Cai1, Hanlin Wu1, Manmin Xu2, Xingzhong Zhang1, Tao Wu1, Dong Zhang1, Ping Liu1, Jie Tang1, and Wenjie Shao1,*, 1Xihua University, Chengdu, Sichuan 610039, China, 2Huazhong Agricultural University, Wuhan, Hubei 430070, China *wenjie.shao@mail.xhu.edu.cn
Introduction/Objectives: As a major meat source, pork contains 18% to 20% protein, with sarcoplasmic proteins (SP) accounting for 30% to 35% of total proteins. These water-soluble proteins play a decisive role in meat quality through myoglobin-mediated color development mechanisms. However, oxidative degradation during processing and storage triggers functional deterioration of SP, resulting in meat discoloration and textural deterioration. This study proposes supplementing hesperidin from citrus extract as an antioxidant strategy to stabilize SP. As the principal bioactive flavonoid in citrus extracts, hesperidin demonstrates multifaceted functionalities, including anti-inflammatory, antioxidant, and antimicrobial effects. Hesperidin is also well known for its lipid metabolism modulation capabilities and exhibits remarkable free radical scavenging capacity. This study used pork SP (PSP) as the research object and measured the color difference of PSP and oxidation indexes such as particle size, ζ potential, and dipolytyrosine level to explore the effects of hesperidin supplementation on the physicochemical properties of PSP under oxidative stress.
Materials and Methods: Six treatment groups were tested: control (no oxidative stress), 0%, 1.5%, 3%, 4.5%, and 6% hesperidin (oxidative stress applied). One-hundred and fifty grams of defatted pork from fresh tenderloin was minced and mixed with 0.02 M phosphate buffer (pH = 7.0) at a 1 to 4 (w/v) ratio. The mixture was homogenized twice intermittently (6000 rpm, 60 s each cycle) and centrifuged at 4°C (4000 × g, 15 min) to collect the supernatant. Protein concentration was determined using the biuret method. The SP solution was adjusted to 5 mg/mL, followed by the addition of the Fenton reagent (0.01 mM FeCl3/0.1 mM ascorbic acid/5 mM H2O2). The reaction was oscillated at 4°C for 24 h and terminated with 1% butylated hydroxytoluene. Color parameters were measured using a colorimeter (D65 illuminant) with a protein concentration of 2.5 mg/mL. Ultraviolet (UV) spectrophotometry samples were diluted to 0.125 mg/mL using 0.02 mol/L SP buffer (SPB) and scanned from 200 nm to 340 nm in a quartz cuvette. Quantitative analysis was performed at 280 nm. Measurement Samples were diluted to 0.1% of the original concentration using 0.02 mol/L SPB and equilibrated at 25°C for 120 s in a ζ potential analyzer. Samples were then adjusted to 0.1% and analyzed using a laser particle size analyzer with refractive indices set to 1.520 (protein) and 1.333 (water). Samples were adjusted to 0.1 mg/mL using 0.02 mol/L SPB and analyzed with emission wavelength 420 nm, excitation wavelength 325 nm, slit widths 10 nm, and voltage 400 V. Over 6 scans were performed to record relative fluorescence intensity. Samples (0.1 mg/mL) were excited at 295 nm with slit widths of 10.0 nm, scan rate of 1,200 nm/min, and voltage of 400 V. Fluorescence spectra were recorded between 310 nm and 400 nm. Data processing was performed using Excel for data organization and mean values and relative SD values calculation. Statistical analysis was conducted using SPSS 26, and graphical plotting was accomplished with Origin 2021 software. Duncan’s multiple range test was applied for significance analysis, with P value of less than .05, indicating statistically significant differences.
Results: Hydroxyl radical oxidation significantly altered the color parameters of SP. Compared with the control (no oxidative stress applied) and 0% hesperidin (with oxidative stress), all the values were significantly different (P < .05). The a*, b*, and C* values decreased by 62.1%, 18.1%, 25.3%, while the L* and H* value increased by 12.8% and 18.3%, respectively. The addition of 6% hesperidin markedly reversed these oxidative effects, restoring the C* value to 15.29 and the H* value to 74.01. Within the wavelength range of 200 nm to 340 nm, all groups exhibited a trend of initial sharp decline followed by a gradual rise in absorbance. The structural changes of SP after hesperidin addition gradually become similar to the control group, as the concentration of hesperidin increased. Adding 6% hesperidin restored the absorbance to levels comparable to the control group. Hydroxyl radical oxidation significantly reduced the ζ potential of SP from 8.04 mV to 5.77 mV. However, the addition of 6% hesperidin significantly (P < .05) reversed this trend compared to 0% hesperidin, and the ζ potential value of 6% hesperidin was not significantly different (P > .05) from that of the control. Hydroxyl radical oxidation significantly increased the average particle size of SP. The addition of 6% hesperidin significantly reduced (P < .05) the particle size compared with 0% hesperidin. Hydroxyl radical oxidation significantly increased the dityrosine fluorescence intensity from 205 AU (control) to 245 AU (0% hesperidin). However, adding the increasing concentration of hesperidin markedly inhibited this process, and adding 6% hesperidin significantly (P < .05) reduced the fluorescence intensity to 211 AU compared to 0% hesperidin. The data indicate that the 16.6% free radical scavenging capacity was achieved with 6% hesperidin. Compared with the control group and 0% hesperidin, hydroxyl radical oxidation caused a 23.4% decrease in the intrinsic fluorescence intensity of SP at 340 nm, indicating alterations in the tryptophan microenvironment due to oxidation-induced protein aggregation. However, the addition of 6% hesperidin reduced the 23.4% decrease to only 0.32%, indicating that the addition of hesperidin alleviated the alterations.
Conclusion: This study evaluated the antioxidative effects of hesperidin (0, 1.5, 3, 4.5, and 6%) on PSP using a hydroxyl radical oxidation model. Key findings include the following: 1) color stability, hesperidin restored chroma (C*) to 15.29 and hue angle (H*) to 74.01; 2) colloidal stability, it recovered ζ potential and enhanced protein-water interactions; 3) aggregation suppression, particle size growth was inhibited with dityrosine formation reduced; and 4) conformational protection, intrinsic fluorescence decline was limited to 0.32% and preserved aromatic residue microenvironments. To conclude, hesperidin delayed the oxidation of SP under simulated oxidative stress. These findings support hesperidin’s potential as a natural antioxidant for use in the meat preservation process. Future studies should employ molecular docking and dynamic simulation to clarify structure–activity relationships between hesperidin and SP to further discover the hesperidin’s antioxidant mechanisms.
Funding Source: This project was funded by the Talent Project of Xihua University (grant number Z222087).
Keywords: hesperidin, sarcoplasmic protein, oxidative stress.
41 Citrus Fiber Alters Dynamic Rheology, Texture, and Water-Holding Capacity of Chicken Wooden Breast Breakfast Sausage Batter
Muhammad Junaid Nawaz1,*, Harshavardhan Thippareddi2, Brian Bowker3, William Kerr4, Dewey Hamilton Thomas1, J. Anna Scott1, Clint Lee1, and Alexander M. Stelzleni1, 1Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA, 2Department of Poultry Science, University of Georgia, Athens, GA 30602, USA, 3US Department of Agriculture, Agriculture Research Service, US National Poultry Research Center, Athens, GA 30605, USA, 4Department of Food Science & Technology, University of Georgia, Athens, GA 30602, USA *junaidnwz@hotmail.com
Introduction/Objectives: Wooden breast (WB) has become a crucial challenge to the profitability of the poultry industry due to its detrimental effects on meat quality. Altered protein composition in WB-affected meat displays adverse textural properties and a reduced water-holding capacity (WHC). Further processed products are being explored to improve the utility of WB meat. However, WB meat batter results in poor processability compared to normal chicken due to protein dysfunction, resulting in mushy and watery batter formation. Adding clean label functional ingredients such as citrus fiber in meat batters was reported to affect the textural properties and WHC. The study objectives were to evaluate citrus fiber’s influence on rheological, textural, and water-holding properties of WB meat batter to improve processability.
Materials and Methods: WB and normal breast fillets (227 kg) were collected 4 h postmortem, over 3 replications, from a commercial poultry processing plant and transported on ice to the University of Georgia Meat Science & Technology Center. Collected breast fillets were individually identified and segregated into normal and severe WB by visual characterization and manual palpation. The normal and WB were vacuum packaged in batches and stored at −25°C plus or minus 2°C until further processing. For each replication, the breasts were thawed for 32 h plus or minus 4 h prior to further processing into breakfast sausages. Normal and WB meat were separately coarse ground (1.27 cm), and then 6 batches (11.34 kg/batch) were formed: 2 batches each for 0% WB (WB0), 50% WB (WB50), and 100% WB (WB100). For 1 batch of each WB percentage category, 0.1134 kg (1%) of the meat block was replaced with citrus fiber, resulting in 3 batches of each WB category containing fiber (F) and 3 batches without fiber (NF). Blend 10 (227 g) sausage seasoning (A.C. Legg, Inc., Calera, AL) and 3% water was mixed into each batch for 3 min using a reverse action paddle mixer and fine (0.48 cm) ground to form the final breakfast sausage batters. The batters were extruded using a vacuum stuffer through a single slot (Colosimo 3/8”) die to form 61.2-cm long by 10.2-cm wide by 9.5-mm thick strips of breakfast sausage patties. Strips were frozen (−30 ± 2°C) for 80 min and then cut into 10.2-cm by 10.2-cm by 9.5-mm square patties. Five patties per treatment within each replication were randomly selected, vacuum packaged, and frozen for WHC, dynamic rheology, and texture profile analyses. Data were analyzed as a randomized complete block design in a 2 by 3 factorial arrangement using Proc-MIXED procedure of SAS 9.4. Fiber inclusion (FIB) and WB status were the fixed effects, replication was the random term, and chicken breakfast sausage patty was the experimental unit.
Results: There were no WB by FIB interactions (P > .05) for the complex modulus (G*), storage modulus (G'), and loss modulus (G”). Irrespective of FIB, WB100 had the smallest (P < .01) G* value, followed by WB50 and WB0, explaining the decreased total resistance to deformation with increased WB level. Fiber-added breakfast sausage batters demonstrated enhanced (P < .01) total resistance to deformation (greater G*), irrespective of the WB level. The G’ decreased (P < .01) with increased WB percentage in breakfast sausage batters, illustrating weaker and softer batter associated with increased WB content, while fiber addition increased G’ of batters. Reduced G” values were shown by WB100 batters compared to WB50 and WB0, depicting the decreased spreadability associated with increased WB content in batters. Fiber addition increased G” of the batters irrespective of WB level. There were WB by FIB interactions (P < .01) for the damping factor (tan δ). The NF-WB0 had a smaller (P < .01) value for tan δ than NF-WB100, indicating its stronger internal structure and more elastic (solid-like) behavior. The F-WB0 had a lower (P < .05) tan δ than F-WB100 but was not different (P > .05) from NF-WB100. Fiber incorporation made breakfast sausage batters less elastic (P < .01). Raw breakfast sausage batters had WB by FIB interactions (P < .01) for adhesiveness but not (P > .05) for hardness, resilience, springiness, and gumminess. The adhesiveness exhibited by F-WB50 was not different (P < .01) from NF-WB0. No fiber WB0 exhibited greater adhesiveness than NF-WB100, but there was no difference (P > .05) compared to NF-WB50. Irrespective of the fiber addition, WB0 batter was harder, more resilient, and gummier (P < .01) than WB50 and WB100, while woodiness did not affect (P > .05) springiness. FIB resulted in more adhesive (P < .01) batters, increased (P < .01) springiness, and decreased (P < .01) resilience without affecting (P > .05) hardness and gumminess. FIB improved (P < .01) cook yield by 1.92%, irrespective of the WB percentage, whereas WB50 had 1.77% and WB100 had 3.45% greater (P < 0.01) cook loss than WB0, irrespective of the FIB.
Conclusion: Overall, fiber addition to breakfast sausage formulations made with WB meat resulted in a meat batter with increased resistance to deformation (greater G*), increased firmness (greater G'), and decreased elastic behavior (greater tan δ). As a result of these changes to the batter, breakfast sausages that included citrus fiber in the formulation were more adhesive and springier, less resilient, and had an improved cooking yield.
Funding Source: US Department of Agriculture, National Institute of Food and Agriculture.
Keywords: broiler, fiber, batter, rheology, myopathy.
42 Effect of Nitrite Source and Reducing Compounds on Cured Color Development in an All-Beef Model System
Leila G. Venzor*, Grace C. Johnson, Ashley A. Hahn, Benjamin L. Weinandt, Jordan C. Wicks, and Gary A. Sullivan, University of Nebraska–Lincoln, Lincoln, NE 68588, USA *lvenzor3@unl.edu
Introduction/Objectives: Sodium nitrite, sodium erythorbate, and ascorbic acid have been used as the primary curing and reducing agents in cured meat products due to their efficacy in producing consistent cured color, flavor, and imparting preservative properties. Growing consumer trends demanding naturally derived ingredients have led to use of celery juice and acerola in alternative curing. More recently, other alternative plant sources have been adopted. Prior research has reported varying effectiveness of these natural alternatives depending on their sources, composition, and interaction with natural or synthetic reducing agents. Therefore, this study aimed to investigate the combined effects of nitrite source and reducing compound on cured color development, residual nitrite levels, and pigment formation, providing insights into their use in natural and conventional curing strategies in an all-beef emulsion system.
Materials and Methods: Fresh beef top round was trimmed free of external fat and ground (5 mm) at the Loeffel Meat Laboratory. Treatments were assigned in a 3 × 2 factorial arrangement to evaluate the effect of nitrite source (156 ppm) (sodium nitrite, celery powder [SafePlate CP300, Wenda Ingredients, Naperville, IL], or beet powder [SafePlate BP300, Wenda Ingredients, Naperville, IL]) and addition of reducing compounds (495 ppm ascorbic acid or molar equivalent) (no reducing compound or reducing compound from either sodium erythorbate or acerola [SafePlate ACP34, Wenda Ingredients, Naperville, IL]) on residual nitrite and cured color development in a beef model system. Ground beef (680 g), salt (13.6 g), and ice (136 g) were added to a RoboCoupe food processor with respective nitrite by reducing compound treatments, chopped for 30 s, scraped, and chopped for an additional 30 s. The resulting emulsified batters were placed in 5 mL to 100 mL glass beakers, pressed with a rounded spoon to remove air pockets, covered in plastic wrap, and placed in a cooler (3°C) for 30 min. Subsamples of batter were smeared onto a flat-bottom weigh boat for initial raw color evaluation (L*, a*, b*). Samples were cooked in a water bath (40°C) for 30 min and transferred to an 80°C water bath for an additional 30 min to reach a final temperature of 71°C. Samples were cooled in an ice water bath for 30 min and kept under refrigeration. The following day, beaker sausages were sliced into 4 medallions and cooked color (L*, a*, b*) was measured in triplicate. Absorbances of cured and total meat pigments were measured at 540 nm and 640 nm, respectively (DU 800 Spectrophotometer, Beckman Coulter, Fullerton, CA). Residual nitrite concentrations were measured (540 nm), and concentrations of residual nitrite were determined based on a standard curve. Three full replicates were produced. Data were analyzed as a randomized complete design using PROC GLIMMIX of SAS (version 9.4) for interactions and main effects of nitrite source and addition or absence of a reducing compound.
Results: There was no interaction of nitrite source by reducing compound (P = .43) for any parameter measured. Nitrite source (P = .17) did not impact the development of total meat pigment, cured pigment, or residual nitrite, though there was a tendency (P = .0569) for total meat pigment to be higher with sodium nitrite (145.8 ppm) than with beet powder (123.1 ppm) and with celery powder (136.9 ppm) intermediate. Treatments with reducing compounds had lower total meat pigment (P = .0173) but higher cured (P = .0296) and percentage of cured pigment (P < .001) compared to those without reducing compounds, regardless of nitrite source. Additionally, residual nitrite was lower when a reducing agent was used (P = .004). No significant differences (P = .38) were observed in initial raw color values (L*, a*, b*) for any treatments. Nitrite source did not significantly impact any objective color measurements; however, use of a reducing agent significantly increased redness (P < .0001) of final cooked color in the all-beef model system.
Conclusion: The results of this study indicate that formulas including reducing agents, regardless of nitrite source, had improved cured meat characteristics. This suggests that the nitrite sources used had an equal impact on cured color development, and naturally sourced curing agents were interchangeable with synthesized sodium nitrite in an all-beef model system. Moreover, the importance of using a reducing agent is clear, regardless of source. These findings show that naturally sourced nitrite sources and reducing agents have reached more equivalence to synthetic sources.
Keywords: alternative curing, cured color, beet root, celery juice, acerola.
43 Analysis of Objective and Subjective Sensory Effects of Injected Sodium Bicarbonate of Cow Longissimus Lumborum
Daniel D. Raab*, Ty E. Lawrence, Loni W. Lucherk, and Trent E. Schwartz, Department of Agricultural Science, West Texas A&M University, Canyon, TX 79016, USA *ddraab1@buffs.wtamu.edu
Introduction/Objectives: While previous research has evaluated the impact of sodium bicarbonate on beef and produced positive results by increasing tenderness, minimal research has been conducted on the injection of sodium bicarbonate into whole muscle beef products. With tenderness being one of the most important sensory traits for consumers, there is demand in the market for methods to produce more tender beef products. Cow striploin steaks are generally tougher than fed-beef striploins. Injecting ingredients such as sodium bicarbonate provides potential to add value via increased tenderness to lower value beef items, such as cow striploins. Therefore, the objective of this study was to determine the influence of inclusion of a sodium bicarbonate injection on sensory characteristics and objective tenderness in underutilized beef products such as cow striploins.
Materials and Methods: Eighteen denuded cow Longissimus lumborum (IMPS #180, PSO 4) were transported to the West Texas A&M University Caviness Meat Science & Innovation Center and aged for 10 d under vacuum. The anterior wedge portion and posterior vein steaks were removed, then striploins were cut into anterior and posterior portions. Strip halves were randomly designated to 1 of 4 treatments: 2 sodium bicarbonate treatments (0.5% [HALFp], 1.0% [ONEp]), a water treatment (H2O), and a noninjected control (CON) utilizing an incomplete block design with a 2 by 2 factorial arrangement. A multineedle injector was used to enhance strip halves to a targeted 15% inclusion with an average of 8% inclusion. After injection, striploin sections were immediately resealed in vacuum packaging and allowed 4 d to rest and equilibrate. At the completion of the 14-d total age and rest time, striploin halves were cut into six 2.54-cm thick steaks (3 for subjective descriptive sensory analysis and 3 for objective tenderness determinations). Upon fabrication, steaks were vacuum packaged and frozen until further analysis. Samples were allowed 24 h to 26 h to thaw at 2°C to 4°C and weighed just prior to cooking. Steaks were cooked to a target internal temperature of 71°C and evaluated by a descriptive trained panel and analyzed for Warner-Bratzler shear force (WBSF). Panelists were trained according to the American Meat Science Association Research Guidelines for Cookery, Sensory Evaluation, and Instrumental Tenderness Measurements of Meat. Additionally, panelists were trained for sensory characteristics of soapy/alkaline flavor, soapy odor, and beef odor. Nine trained panels were conducted where 1 sample representing each of the 4 treatments was served to a minimum of 6 trained panelists. Samples were served under red light, emitting diode lights to mask color variation among samples during 30 min panel sessions. Panelists evaluated each sample for beef flavor identity, bitter, overall tenderness, overall juiciness, beef odor, soap odor, and soapy/alkaline flavor. Data were analyzed using mixed models. Injection treatment was the fixed effect, percentage pump of each half was used as a covariate, and strip, anterior or posterior half, peak temperature, panel order, and panel were used as random effects.
Results: No treatment differences were observed for cook loss (P = .515), beef odor (P = .140), or overall juiciness (P = .620). When evaluated for soapy/alkaline aroma, ONEp and HALFp, had the highest (P = .002) off odors, whereas H2O enhanced striploins had the least soapy/alkaline odor. Overall tenderness was impacted (P < .001) by treatment. ONEp and HALFp were more tender than H2O, which was more tender than CON. Additionally, the H2O treatment was highest (P < .001) for beef flavor identity and beef flavor intensity, and ONEp was the lowest for beef flavor identity and intensity. When evaluating soapy/alkaline flavor, ONEp steaks had the most (P < .001) soapy/alkaline flavor, HALFp and CON were intermediate, and H2O was the least soapy/alkaline in flavor. Additionally, ONEp samples had more bitter off flavors (P = .044) than H2O. Lastly, no difference was observed for WBSF (P = .217) among treatments.
Conclusion: Results suggest that ONEp striploin halves and HALFp striploin halves were positively and negatively impacted by the injection of sodium bicarbonate. Strips injected with H2O and CON strips were similar for sensory outcomes, cook loss, and WBSF. While there were prevalence of soapy/alkaline aromatics and a reduction of typical beef flavor and beef flavor intensity within cow striploins that were injected with sodium bicarbonate, sodium bicarbonate may be a viable alternative method for tenderness improvement of typically tougher, lower value beef products.
Funding Source: West Texas A&M University Beef Carcass Research Center.
Keywords: beef, palatability, tenderness, enhanced.
44 Physicochemical Properties of Beef Jerky: Impact of Conventional Cooking and Ultraviolet-A Light Dehydration
Sajad Karami1,*, Mohammed A. AlRuzzi1, Chandler D. Stafford1, Sulaiman K. Matarneh1, and Luis J. Bastarrachea1,2, 1Department of Nutrition, Dietetics and Food Sciences, Utah State University, Logan, UT 84322, USA, 2Department of Biological Engineering, Utah State University, Logan, UT 84322, USA *sajad.karami@usu.edu
Introduction/Objectives: Food dehydration has been used for centuries as an effective preservation method. Today, various dehydration techniques are available, each with its advantages and limitations. Many conventional methods rely on high temperatures or significant energy input, which can lead to economic and environmental concerns. Additionally, exposure to high temperatures can degrade essential nutrients, such as vitamins and aromatic compounds, affecting the overall quality of the final product. Beef jerky, a widely consumed dried meat product, is made by cooking and drying beef to enhance flavor and extend shelf life. Traditional methods, such as hot-air drying, are effective but require high energy consumption and may negatively impact texture, color, and nutritional value. As the food industry seeks sustainable alternatives, ultraviolet-A (UV-A) light dehydration has emerged as a promising nonthermal technique. This study compares conventional cooking and drying with UV-A light dehydration to evaluate their effects on the physical properties of beef jerky.
Materials and Methods: Beef top round subprimals of uniform quality and weight were sourced from a local supplier, trimmed, and sliced along the muscle fibers into consistent strips. These strips were mixed with a dry cure containing sodium nitrite, erythorbate, and salt, and then incubated at 4°C for 20 h. The marinated beef was divided into 2 groups for either conventional smokehouse drying or UV-A light dehydration. Three independent replicates were prepared per treatment to ensure statistical validity. Water activity (aw) and microbial load were assessed prior to drying to establish baseline data. Conventional beef jerky was dried in a smokehouse oven at 93.3°C with 10% relative humidity for 55 min, with adequate ventilation. The target aw was maintained between 0.83 and 0.85. After drying, samples were cooled, vacuum sealed, and stored at 4°C until further analysis. UV-A light dehydration was carried out in a custom-built chamber equipped with controlled airflow and temperature. Marinated beef strips were arranged on a stainless-steel platform, and moisture loss was monitored over 10 h. The dehydration process was modeled using Weibull distribution. This technique was selected for its energy efficiency, lower environmental impact, and potential to preserve nutritional and textural qualities. A chromameter was used to measure L* (lightness), a* (redness), and b* (yellowness) values. Calculations of color change (ΔE), chroma (C*), hue angle (h°), and browning index (BI) were also performed. Jerky samples were exposed to controlled humidity environments for 35 d using the isopiestic method. Sorption behavior was analyzed with a semiempirical double power-law model. Attenuated total reflectance Fourier-transform infrared spectroscopy was used to detect chemical structural changes, sampling multiple locations per sample to compare the 2 drying methods. Microstructural features were examined using scanning electron microscopy (SEM). Freeze-dried samples were gold-palladium coated and imaged under high vacuum conditions. aw was measured at defined intervals using a calibrated aw meter. Microbial counts were assessed by plating diluted samples on plate count agar and incubating for 48 h.
Results: The initial moisture content of marinated beef jerky was 0.71 kg H2O/kg wet sample. After 6 h of UV-A light dehydration, it decreased to 0.29 kg H2O/kg wet sample, reaching equilibrium at 0.16 kg H2O/kg wet sample after 10 h. The dehydration process followed the Weibull model, with a high correlation (R2 = .993), indicating a predictable drying pattern. The aw decreased from 0.97 to 0.80 within 6 h, showing a strong linear correlation with time. The sorption isotherms of both UV-A light-dehydrated and conventionally cooked beef jerky were similar, suggesting comparable water reabsorption tendencies. This indicates that UV-A light dehydration does not significantly alter the jerky’s ability to retain or release moisture compared to conventional cooking. The drying method significantly influenced the color of the beef jerky. Fresh marinated samples had the highest brightness (L*), while UV-A light-dehydrated jerky was the darkest. The redness (a*) was highest in fresh samples, followed by conventionally cooked, and lowest in UV-A light-dehydrated jerky. Similarly, yellow hue (b*) was highest in fresh samples and lowest in UV-A light-dehydrated jerky, giving it a slightly bluer appearance. The overall ΔE was greater for UV-A light-dehydrated samples compared to conventionally cooked jerky. The BI indicated less browning in UV-A light-dehydrated jerky compared to cooking. The h° confirmed variations in color tones, with fresh beef being more orange-red, UV-A light-dehydrated jerky appearing redder, and conventionally cooked samples having a brighter orange hue. The ΔE suggest that UV-A dehydration results in a darker and duller appearance, possibly due to the absence of heat-induced pigment transformations. SEM imaging revealed structural differences between fresh-, conventionally cooked-, and UV-A light-dehydrated beef jerky. Fresh and marinated samples had compact, circular muscle fibers. Cooking led to extensive cracking due to rapid moisture loss, while UV-A dehydration preserved a denser and more uniform structure with fewer cracks. This suggests that UV-A light dehydration maintains muscle fiber integrity better than conventional cooking. UV-A light dehydration reduced microbial load by 1.35 Log (CFU/g dry solids) after 5 h, while cooking achieved a greater reduction of 2.93 Log (CFU/g dry solids). Both methods enhanced shelf stability, though cooking was more effective due to higher temperatures. However, UV-A irradiation still contributed to microbial inactivation, improving food safety.
Conclusion: This study confirms that UV-A light dehydration is an effective method for producing beef jerky with desirable physical characteristics. The process, which takes approximately 4.5 h, preserves microstructural integrity better than conventional cooking, as shown by SEM analysis. Although conventional cooking achieved a higher microbial reduction (2.93 Log CFU/g vs. 1.35 Log CFU/g), the 1.58 Log difference highlights the enhanced lethality of thermal processing. However, UV-A dehydration still reduced microbial load effectively when aw dropped below 0.85. Color analysis revealed that UV-A dehydration results in a darker, less red appearance and a lower BI, likely due to pigment stabilization differences. Nevertheless, its moisture sorption behavior was comparable to traditionally dried jerky. UV-A dehydration offers a nonthermal, energy-efficient alternative with potential advantages in preserving meat texture and quality. These unique product attributes may appeal to niche consumer markets, supporting broader adoption of sustainable dehydration technologies in the meat processing industry.
M. C. W. B. versus time during UV-A light dehydration of beef jerky (A); Dehydration kinetics data of UV-A light dehydrated beef jerky fitted with https://www.sciencedirect.com/science/article/pii/S0960308524001573#eqn0005 Eq. 1 (B); Linear relationship between aw and time during UV-A light dehydration (C); Moisture sorption isotherms of conventionally cooked and UV-A light dehydrated beef jerky fitted with https://www.sciencedirect.com/science/article/pii/S0960308524001573#eqn0035 Eq. 7 (D).
Surface colorimetric analysis of fresh marinated, ultraviolet-A light-dehydrated, and conventionally cooked beef jerky samples.
| Treatment | Color | L* | a* | b* | ΔE | BI | h° | C* |
|---|---|---|---|---|---|---|---|---|
| Fresh marinated beef sample | 35.3 ± 1.5a | 17.6 ± 2.0a | 9.8 ± 0.8a | 0.0 ± 0.0a | 36.0 ± 4.2a | 29.1 ± 1.3a | 20.2 ± 2.1a | |
| UV-A light-dehydrated beef jerky | 25.7 ± 0.8b | 7.8 ± 1.3b | 2.5 ± 0.7b | 15.6 ± 1.4b | 21.8 ± 3.3b | 17.3 ± 2.3b | 8.2 ± 1.4b | |
| Conventionally cooked beef jerky | 28.6 ± 0.8c | 10.0 ± 1.2c | 6.5 ± 1.2c | 10.9 ± 1.5c | 26.0 ± 2.8c | 32.9 ± 2.2c | 11.9 ± 1.6c |
ΔE, color change; a*, redness; b*, yellowness; BI, browning index; C*, chroma; h°, hue angle; L*, lightness; UV-A, ultraviolet-A.
Treatment with the same superscript letter within the same column are not significantly different (P < .05).
Funding Source: This work is supported by the US Department of Agriculture National Institute of Food and Agriculture, Agriculture and Food Research Initiative project number 2021–09342. The authors thank the Ambassador Ardeshir Zahedi International Endowment Scholarship and Dr. Niranjan R. Gandhi and Mrs. Josephine N. Gandhi Graduate Assistantship by Utah State University.
Keywords: meat processing, beef jerky, food dehydration, nonthermal technologies, UV-A light dehydration.
45 Impact of Phosphates as an Enhancement on the Yield and Quality of Sectioned and Formed Ham, Bacon, and Hotdogs
Bryant Sawin1, Ambri Harrigal1,*, Olivia Ron2, Trent Schwartz1, Loni Lucherk1, and Ty Lawrence1, 1Department of Agricultural Sciences, West Texas A&M University, Canyon, TX 79016, USA, 2ICL Group, St. Louis, MO 63141, USA *aharrigal@wtamu.edu
Introduction/Objectives: Phosphates are great chelators that help improve the yield and quality of meat by altering the overall pH. Additionally, phosphates are commonly used to improve product water-holding capacity and aid against free radicals that produce rancid flavors, thus increasing shelf life. The objective of this study was to quantify the effects of phosphate treatments upon production yield and quality outcomes when used in restructured hams, bacon, and hotdogs.
Materials and Methods: Hams were produced using 1 of 4 phosphate (0.48% inclusion) treatments ([1] no phosphate control; [2] sodium tripolyphosphate (STPP); [3] Brifisol 512, a blend of 2 phosphates with a pH range of 8.7–9.3; or [4] Brifisol 550, a blend of 3 phosphates with a pH range of 11.4–12.0). Trimmed and macerated ham pieces were vacuum tumbled with a brine (water, honey, potassium diacetate, salt, sugar, liquid dextrose, phosphate, sodium erythorbate, sodium nitrite) for 30 min at 8 rpm. Ham was stuffed into casings, smoked/cooked (1.5 h at 76.7°C then fully cooked to 71. 1°C at 82.2°C), chilled (−1.1°C), sliced 3.18-mm thick, and vacuum packaged. Bacon was produced from bellies injected with 1 of 4 phosphate (0.354% final phosphate inclusion) treatments ([1] no phosphate control; [2] STPP; [3] Brifisol 450, a blend of 3 phosphates with a pH range of 7.2–7.8; or [4] Brifisol 460, a blend of 3 phosphates with a pH range of 6.2–6.8). Bellies were injected (13%) with a brine (water, sugar, salt, phosphate, sodium nitrite, sodium erythorbate) and smoked/cooked (smoked for 1.5 h at 54.4°C and cooked to an internal of 62.2°C at 63.3°C) before being chilled (−1.1°C), sliced, and vacuum packaged. Hotdogs were produced using 1 of 3 phosphate (0.376% phosphate inclusion) treatments ([1] no phosphate control, [2] STPP, or [3] Brifisol 450). Pork, beef, water, salt, seasoning, liquid sorbitol, phosphate, and sodium nitrite were emulsified in a bowl chopper, stuffed into plastic casings, and cooked (smoked for 0.91 h at 65.6°C and cooked to an internal of 71.1°C at 77.8°C), chilled (−1.1°C), peeled, and vacuum packaged. Samples from each batch of ham, bacon, and hotdogs were analyzed for aerobic plate count (APC), thiobarbituric acid reactive substances (TBARS), and evaluated for L*, a*, and b* during a 10-d simulated retail display every 30 d for 180 d after production. All products were evaluated by a trained sensory panel for sensory characteristics. Mixed models were used, phosphate treatment and time in refrigerated storage were fixed effects. Single degrees of freedom contrasts tested Brifisol vs. STPP and phosphate treatments vs. control.
Results: No difference was detected in ham TBARS (P = .68), hardness/firmness (P = .09), or saltiness (P = .09) between treatments. Ham brine pH differed (P < .01), with Brifisol 550 having the highest pH (7.98) compared to STPP (6.19), Brifisol 512 (6.00), and control (5.34). Brifisol 550-treated hams had higher APC than those treated with STPP (P = .02). Control hams had lower (P < .01) aroma scores, more rancid odor, lower ham flavor, more rancid flavor, less juicy, and the lowest sensory acceptability. Hams aged 1 to 3 mo had higher (P < .01) ham flavor than those aged 5 mo or 6 mo. Sweetness varied among treatments (P < .01). Brifisol 512 was sweeter than the control. Rancid flavor was higher in hams aged 5 mo or 6 mo (P < .01). Bacon treatments did not differ for APC (P = .089), TBARS (P = .325), a* values (P = .102), off odor (P = .773), oxidized flavor (P = .407), sour flavor (P = .380), or percentage acceptability (P = .265). Bacon aged 60 d had the highest APC (P < .01). Bacon treated with STPP had lower L* values than other treatments (P < .01). Off odor was highest in bacon aged 4 mo to 6 mo (P < .01). Control bacon was saltier than other treatments (P = .03). Both oxidized and sour flavors increased with time, whereas percentage acceptability decreased as time increased (P < .01). No difference was detected for cook loss (P = .656), cook yield (P = .607), L* or a* during display (P ≥ .194), or treatment a* (P = .271). Control hotdogs had the highest APC (P < .01), and APC generally increased from 30 d to 150 d of aging. Control hotdogs had higher (P < .01) TBARS values than other treatments. Brifisol 450 had lower (P < .01) L* values than other treatments. Hotdog aroma (P = .04) was lower in 6-mo aged samples compared to aging months 1 through 4. Age and treatment affected off flavor, with 180 d resulting in the most off flavor (P = .01). Control hotdogs had more (P < .01) off flavor than Brifisol 450 and STPP. Brifisol 450 hotdogs were saltier (P = .02) than control. Percentage of acceptability was higher (P = .03) in months 1 to 4 compared to months 5 and 6 and in STPP and Brifisol 450 compared to control.
Conclusion: Phosphate treatments had little effect on APC or TBARS of ham samples. Inclusion of phosphates in ham improved sensory qualities of ham including hotdog aroma, juiciness, flavor and overall acceptability. Bacon APC, TBARS, and sensory did not improve with phosphate inclusion. Phosphate treatments reduced off flavors and had improved APC compared to control in hotdog samples. Percentage hotdog sensory acceptability decreased after 4 mo of storage, and phosphate treatments rated higher for acceptability than control.
Funding Source: Research funded by ICL Group of St. Louis, MO 63141, USA.
Keywords: pork, shelf life, sensory, oxidation, yield.
Meat and Poultry Quality
46 Carcass Weight Influences Chilling Rate, Metabolic Response, and Meat Quality
Grace C. Johnson1,*, Mariane Beline2, Leila G. Venzor1, Kara A. Reynolds1, Gary A. Sullivan1, David E. Gerrard2, and Jordan C. Wicks1, 1University of Nebraska–Lincoln, Lincoln, NE 68588, USA, 2Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA *gjohnson52@huskers.unl.edu
Introduction/Objectives: Over the past decade, beef carcass size has increased. Curiously, and at the same time, atypical dark-cutting (ATDC) beef has emerged as a notable quality defect in the beef industry. Unlike traditional dark, firm, and dry beef, which lacks sufficient glycogen for pH decline, ATDC beef has ample glycogen yet still exhibits a slightly elevated ultimate pH and results in darker lean. While the metabolic state of tissue of ATDC beef is known, the exact cause remains unclear. Previous literature suggests that lighter weight carcasses may be more prone ATDC, possibly as a result of faster chilling rates. However, this has yet to be proven definitively. Therefore, this study aimed to compare heavy- (HW) and light-weight (LW) carcass cooling rates to assess their response to standard harvesting and chilling practices, providing insight into the factors contributing to ATDC beef.
Materials and Methods: Forty-four and a half carcasses were randomly selected from contemporaneous commercial crossbred steers of similar physiologic maturity that were harvested under inspection at the University of Nebraska–Lincoln Loeffel Meat Laboratory. Carcass sides were allocated to a classification of either HW (n = 22; hot-carcass weight [HCW] = 231.41 ± 2.1 kg) or LW (n = 22; HCW = 181.08 ± 2.1 kg). Carcasses were subjected to similar standard harvesting procedures and temperatures and were continuously monitored using probes inserted approximately 10 cm into the longissimus lumborum (LL) between the 12th and 13th rib. Carcasses sides entered a conventional chilling cooler (2 ± 1°C) at approximately 60 min postmortem. Additionally, tissue from the LL was excised immediately following exsanguination (0 min) as well as at 3 h, 6 h, 12 h, and 24 h postmortem. Samples were diced, snap frozen in liquid nitrogen, and stored at −80°C until analyses. Muscle pH and metabolite levels of glycogen, glucose, and glucose 6-phosphate were analyzed to assess the metabolic changes of the muscle postmortem. Following a 30-h chilling period (2 ± 1°C), carcasses were ribbed between the 12th and 13th ribs for carcass evaluation and carcass maturity, and marbling scores were used to determine carcass quality grade. Objective color was also evaluated following a 1-h bloom time. Using a Minolta CR-400 colorimeter (Ramsey, NJ), triplicate color measurements were taken across the LL, and averaged color values were expressed as L* (lightness), a* (redness), and b* (yellowness). Finally, two 2.54-cm thick steaks were collected from the LL and stored at −20°C until shear force analysis. Data were analyzed as a completely randomized design using SAS software (SAS 9.4, SAS Institute Inc, Cary, NC). Carcass data, color, and shear force were analyzed using the MIXED procedure, considering the fixed effect of carcass weight (HW vs. LW) and the harvest day as random effect. Temperature, pH, and metabolites were analyzed as repeated measures considering the treatment, time, and their interactions as fixed effects and the harvest day as random effect. Covariance structures were tested for each characteristic, and the best fit was used. Differences were considered statistically significant when P ≤ .05 unless otherwise noted.
Results: Carcass data indicated that HW and LW carcasses differ in carcass composition. Specifically, HW carcasses had increased HCW (P < .001), ribeye area (P < .001), 12th rib fat thickness (P < .001), and percentage kidney, pelvic, and heart fat (P < .001). Subsequently, yield grade was higher (P < .001) in HW compared to LW carcasses as was marbling score (P < .001). Moreover, cooling rates of LW and HW carcasses differed with LW carcasses (P < .01) chilling at a faster rate than HW carcasses, specifically from 6 h to 24 h postmortem. Even so, all carcasses reached similar temperatures at 30 h postmortem when carcass and objective color were evaluated. The rate of pH decline was not different at 0 h, 3 h, 6 h, or 24 h postmortem. However, LW carcasses had an elevated (P < .05) pH at 12 h compared to that of HW carcasses. Although there was no interaction between weight and time postmortem, both glycogen (6 h, P < .05) and glucose 6-phosphate (6 h and 24 h, P < .01 and P < .05. respectively) were elevated in LW carcasses. Still, glucose was not different between treatments. Finally, our data show LW carcasses produced darker (L*, P < .05) and less red (a*, P < .001) lean than that of HW carcasses and resulted in less tender steaks at 1 d postmortem (P < .01) as indicated by Warner-Bratzler shear force values. There was also a trend for LW carcasses to produce a less tender steaks following a 14-d aging period (P = .08).
Conclusion: These data suggest that carcass weight alters chilling rate and changes meat quality traits through changing carbohydrate metabolism in muscle postmortem and support our hypothesis that LW carcasses, due to their faster chilling rate and metabolic differences, may be more susceptible to ATDC beef characteristics (darker, tougher). Still, the exact mechanisms remain unclear, and more work is needed to better understand the metabolic state of muscle in LW carcasses and its response to advanced chilling systems before recommendations can be made to commercial abattoirs.
Keywords: atypical dark cutting, carcass weight, carcass chilling, color, postmortem metabolism.
Meat and Poultry Quality and Composition - Measurement and Prediction
47 Predicting the Shelf Life of Ground Beef Based on the Initial Microbial Community Profile
Isabella G. Gafanha* and Aeriel D. Belk, Auburn University, Auburn, AL 36849, USA *igg0009@auburn.edu
Introduction/Objectives: Food waste is a growing global issue that impacts consumers, producers, and environmental sustainability. The production of high-quality food products in the United States may alleviate this; however, many of those products that are produced tend to be discarded before they can be consumed. A primary reason for this elevated food waste at the consumer and retail level is the use of overly conservative sell-by and use-by dates on packages. Consumers believe that these dates are definitive markers of safety of the product and will discard according to those dates. Therefore, it is important that these dates accurately express the product’s shelf life, so it is not discarded prematurely. Meat spoilage is driven by numerous factors but primarily by microbial activity. The objective of this research project was to monitor the changes in microbial community structures over a 14-d shelf life to better predict and understand microbial succession patterns during spoilage.
Materials and Methods: Throughout the 14-d sampling, data were collected through colorimeter testing, lipid oxidation testing, microbial aerobic plate counts, and meat component analysis. Ground beef samples (80:20 lean-to-fat ratio) weighed out to 225-g tray overwrapped and randomly assigned pull dates and sample numbers. They went into simulated retail storage in an LED-lit, 3-tier display open-curtain retail case (Model TOM-60DX-BN, Turbo Air Inc., Long Beach, CA). To best simulate retail storage, the curtain was closed at night and open during the day. Instrumental color analysis was measured with the HunterLab MiniScan EZ colorimeter, Model 45/0 LAV (Hunter Associates Laboratory Inc., Reston, WV), following the American Meat Science Association Meat Color Measurement Guidelines, and the values were determined from the average of 3 readers per ground beef sample. The compositional analysis was conducted using a near-infrared with AOAC (2007.4) approved spectrophotometer (FoodScanTM, FOSS Analytical A/S, Hilleroed, Denmark), and data processing was determined using ISIscanTM software to analyze the nutrient content in the meat. Microbial aerobic plate counts (APC) were completed each day to determine the rate of spoilage. A series of serial dilutions were done to demonstrate coliforms present. The plate counts demonstrated when the samples reached spoilage, indicated by 107 CFU/g. The development of oxidative rancidity and lipid oxidation in the samples was evaluated throughout the sampling period using 2-thiobarbituric acid reactive substances (TBARS). The overall microbial communities were assessed using 16S amplicon gene sequencing methods. DNA extraction was performed using the Illumina miSeq platform. A 2-step centrifugation pre-extraction treatment was completed on the samples prior to DNA isolation. Samples were diluted in peptone buffer and hand-massaged for 30 s. Supernatant from the homogenization was then placed in a 15-mL conical tube and centrifuged at 200 rcf for 3 min. Following the first centrifugation, 10 mL of the supernatant was removed and centrifuged again at 10,000 rcf for 3 min. DNA was extracted using Zymo Research Quick-DNA™ Miniprep Kits. DNA quantification was done with an Invitrogen Qubit™ Flex Fluorometer. A statistical assessment of microbial taxonomies was used to see how they change over time.
Results: The spoilage period for this study was identified using the aerobic bacterial populations. Microbes were removed from the product’s surface and then serially diluted and plated on aerobic count plates. The plates were then incubated at 35°C to obtain counts of aerobic organisms. The quality analysis results show that the product was microbiologically spoiled at day 6 of the experimental period, with spoilage being defined as a microbial APC of 107 Log CFU/g. Further evidence of spoilage included instrumental color showing how the shelf life and microbial activity cause the color to change over time. The color results demonstrate statistical significance by day among L*, a*, and b* (P < .05). The results show a decrease in lightness and redness values, meaning the meat was becoming darker and less red as spoilage progressed. Additionally, the redness values decreased throughout spoilage as oxidation occurred. Lipid oxidation was measured through the quantification of malonaldehyde within the ground beef throughout the shelf life. The results of lipid oxidation demonstrate a relationship with the other factors affecting spoilage, as day 6 of the experimental period began to show rancidity (P < .05). As analysis continued, the microbial communities involved became less diverse, as certain organisms outcompeted the others in the environment. Prior to spoilage, the higher concentration of communities, such as Rhodobacteraceae and Enterobacterales, were present due to the initial microbiome of ground beef. As the shelf life progressed, the most dominant increased in Pseodomonadaceae, which is a known leading spoilage organism. There were also higher populations of Carnobacteriaceae, Listeriaceae, Streptococcaceae, Lactobacillaceae, and Yersiniaceae throughout the shelf life. Although many organisms were present on the day of grinding, the study demonstrated a decrease in microbial diversity throughout the experiment, as the organisms outcompeted each other in this time, fighting for limited resources.
Conclusion: The overall goal of this study was to observe the microbial spoilage patterns associated with ground beef to better predict when the product is truly microbially spoiled. We were able to conclude, with the accumulation of quality data and microbiome analysis, the product is microbially spoiled at day 6 of the experimental period. The results of this experiment allow for a better understanding of ground beef spoilage and can help with limiting excess food waste at the retail and consumer levels. Findings from this study are similar to previous results seen in literature for changes in microbial communities throughout spoilage; however, further analysis still needs to be done to answer the question relating to predicting the ground beef spoilage based on the initial microbial community profile. This pattern will help with predicting the rate of product spoilage, ultimately helping to decrease global food waste.
Funding Source: Alabama Beef Checkoff.
Keywords: microbiology, microbiome, beef, shelf life, spoilage.
Meat and Poultry Quality
48 Evaluation of GNS LQ30 as a Bacteriostatic Treatment to Extend Shelf Life in Ground Beef
Rafael Martinez*, Markus Miller, and Mindy Brashears, Texas Tech University International Center for Food Industry Excellence, Lubbock, TX 79409, USA *rafaelma@ttu.edu
Introduction/Objectives: This study evaluated the bacteriostatic efficacy of GNS LQ30 in extending the microbial shelf life of ground beef. The primary objective was to assess reductions in total aerobic plate counts (AC) and lactic acid bacteria (LAB) populations in ground beef treated with GNS LQ30 compared to an untreated control over a 28-d refrigerated storage period.
Materials and Methods: Two treatments were evaluated. Fresh beef trimmings were either untreated (control) or treated with a 5% solution of GNS LQ30 applied before coarse grind and packed into 5-lb chubs. Chubs were stored at 4°C or lower for 0 d, 21 d, and 28 d. On the different stored days, chubs were fine ground, packaged into 1-lb trays, and wrapped with polyvinyl chloride film for retail display. At the retail display, enumeration of AC and LAB were conducted at 0 h, 24 h, 48 h, 72 h, and 96 h for each day the chubs were stored. Microbial indicator analysis was performed by collecting 10-g samples (n = 9) at each timepoint the trays were displayed. Consecutively, 90 mL of buffered peptone water was added and stomached at 230 rpm before enumeration using TEMPO® Biomerieux over the 96-h display period. A t-test (P < .05) was performed to determine significant differences between treatments at each time point with R software version 4.4.3.
Results: On day 0, AC counts in control samples were significantly higher (1.68 ± 0.08 Log CFU/g) than in GNS LQ30-treated trim (0.60 ± 0.10 Log CFU/g; P < .05). This trend persisted throughout the 96-h display period, with treated samples maintaining significantly lower microbial loads (P < .05). By 96 h, control samples reached 2.10 plus or minus 0.15 Log CFU/g, while treated samples remained at 0.98 plus or minus 0.09 Log CFU/g. For chubs stored 21 d and 28 d, GNS LQ30-treated samples exhibited consistently lower AC counts at all time points compared to controls (P < .05), demonstrating its bacteriostatic effect. LAB counts were initially low in both treatments but increased after prolonged storage. At 21 d, LAB counts at 96 h were lower in GNS LQ30-treated samples (6.46 ± 0.07 Log CFU/g) than in controls (6.76 ± 0.09 Log CFU/g; P < .05). A similar trend was observed on chubs stored for 28 d.
Conclusion: The application of GNS LQ30 significantly reduced AC and LAB initially upon treatment, and microbial growth across all time points was lower, thus resulting in an extension of microbial shelf life in ground beef. These findings suggest the natural product may be a viable intervention for enhancing the microbial quality of retail ground beef.
Funding Source: Texas Tech University International Center for Food Industry Excellence, Texas Tech University, Prosur Inc.
Keywords: beef trimming, indicators, quality.
49 Wet Aging Influences Color Stability of Lamb Longissimus Lumborum Muscle
Oluwatobi M. Ogunsola1,*, Ana Paula Salim1, Gregg Rentfrow1, Donald G. Ely1, Brittany E. Davis2, and Surendranath P. Suman1, 1Department of Animal and Food Sciences, University of Kentucky, Lexington, KY 40506, USA, 2Forage Animal Production Research Unit, US Department of Agriculture, Agricultural Research Service, Lexington, KY 40546, USA *oluwatobiogunsola@uky.edu
Introduction/Objectives: Lamb color influences consumer purchase decisions, whereas tenderness is associated with eating satisfaction. Muscles in a lamb carcass exhibit biochemical variations that impact quality. Wet aging of lamb enhances tenderness, though it can adversely affect color. However, the influence of wet aging on fresh lamb color is not completely understood. Therefore, we investigated the effect of wet aging (for 0, 10, 20, and 30 d) on the color stability of lamb Longissimus lumborum (LL) muscles during refrigerated storage.
Materials and Methods: The LL muscles were excised (24 h postmortem) from both sides of 12 (n = 12) lamb carcasses obtained from the US Department of Agriculture-inspected meat laboratory of the University of Kentucky. The muscles were divided into 2 equal-length sections. The muscle sections were vacuum packaged and randomly assigned to either 0 d (A0), 10 d (A10), 20 d (A20), or 30 d (A30) d of wet aging at 2°C. At the end of each wet-aging period, the muscle sections were removed from the vacuum package and were fabricated into 2.5-cm thick chops. The chops were packaged in aerobic conditions and randomly assigned to 0 d, 3 d, 6 d, and 9 d of storage (2°C) in the darkness. Myoglobin concentration, surface redness (a*), color stability (R630/580), and lipid oxidation (thiobarbituric acid reactive substances [TBARS]) were assessed on each day of storage. A split plot with a completely randomized block design was utilized. The LL muscle section served as a whole plot, and the subplot consisted of chops. The analysis of variance was determined using the MIXED procedure of SAS, and the differences among means were detected using the least significant difference at a 5% level.
Results: The chops from nonaged (A0) LL muscles exhibited greater (P < .05) myoglobin concentration than their aged counterparts on day 0 of storage, whereas no differences (P > .05) among nonaged and aged chops were observed on days 3, 6, and 9 of storage. A decrease (P < .05) in myoglobin concentration during storage was observed in A0 and A10 chops, whereas A20 and A30 counterparts exhibited stable (P > .05) values during storage. The LL chops from A10 exhibited a greater (P < .05) a* value than A0 and A30 on days 3, 6, and 9 of storage. Storage influenced (P < .05) a* value only in A10. Initially the a* value increased from day 0 to 3 and then remained stable (P > .05) until day 9 of storage. The LL chops from A10 exhibited greater (P < .05) R630/580 than A20 and A30 on day 0 of storage, whereas, on days 3 and 6 of storage, A10 exhibited greater (P < .05) R630/580 than A0 and A30 chops. At the end of 9 d of storage, A10 chops exhibited greater color stability than their counterparts from A0, A20, and A30. Nonetheless, there was a decrease (P < .05) in R630/580 in all treatments during 9 d of storage. Overall, A30 chops exhibited greater (P < .05) TBARS than the others on days 0, 3, 6, and 9. Additionally, all chops exhibited an increase in TBARS from day 0 to 9 of storage.
Conclusion: These findings suggested that wet aging influenced the color stability of lamb LL muscle. Lamb chops aged for 10 d exhibited enhanced surface redness and color stability. Wet aging for 10 d could be used as a practical processing strategy in the lamb industry to improve the color stability.
Funding Source: US Department of Agriculture, Agricultural Research Service (ARS), National Program 101, Food Animal Production (ARS Project 5042-32630-004-00D).
Keywords: color stability, lamb color, wet aging.
50 Differential Effect of Freezing and Thawing on the Color Stability of Bison Strip Steaks and Ground Bison
Ian Byington1,*, Garrett Weldy1, Christina Bakker1, Judson Grubbs1, Keith Underwood1, Lydia O’Sullivan2, Surendranath Suman3, and Amanda Blair1, 1Department of Animal Science, South Dakota State University, Brookings, SD 57007, USA, 2Department of Animal and Equine Science, Murray State University, Murray, KY 42071, USA, 3Department of Animal and Food Sciences, University of Kentucky, Lexington, KY 40506, USA *ian.byington@jacks.sdstate.edu
Introduction/Objectives: Meat color is a major factor that drives consumers’ purchasing decisions. When color deviates from consumers’ expectations, willingness to pay decreases, resulting in a reduction in profit and an increase in food waste. Storage conditions prior to consumption, such as freezing and thawing, can significantly impact the color stability of meat. In contrast to other animal protein sources, bison is often marketed frozen. In 2023, approximately 635,000 kg of frozen bison were sold in the United States. Freezing allows meat processors and distributors to sustain a consistent supply of bison products; however, storage interventions that alter the initial appearance and color stability could impact willingness to pay and contribute to food waste. Therefore, the objective of this study is to determine the effects of freezing and thawing on the color stability of bison striploin steaks and ground bison.
Materials and Methods: A single lot of bison (n = 35 carcasses) was selected from a commercial packing facility for the study. Carcasses were evaluated for instrumental color (L*, a*, and b*) of the ribeye. A subsample of carcasses (n = 20 carcasses closest to the lot’s average a*) was selected for further analysis. Striploins were collected from 1 side of each subsampled carcass and fabricated into steaks (2.5-cm thick). Bison trim was also collected from the subsampled carcasses. Steaks and trim were transported to the South Dakota State University Meat Laboratory for treatment allocation and analysis. Upon arrival, trim was divided into 6 batches (4.5 kg/batch) and twice ground through a 5-mm plate. Ground bison (0.45 kg/package) and steaks were packaged in vacuum-sealed bags. Ground bison packages (n = 6 packages/batch) from each batch and steaks (n = 6 steaks per striploin) from each striploin were assigned to 1 of 2 treatments: treatment 1 (fresh), in which samples were stored in boxes at 4°C for 11 d before a simulated retail display, or treatment 2 (thawed), in which samples were frozen immediately, stored in boxes at −20°C for 41 d, then thawed at 4°C for 24 h before a simulated retail display. During the display period, fresh samples were evaluated for 31 d, and thawed samples were evaluated for 10 d after thawing. Objective color was evaluated using a handheld colorimeter every 3 d of the display period. Subjective color was evaluated by trained panelists every 3 d of the display period. Products were evaluated for color (1 = moderately light purple red, 6 = extremely dark purple red) and discoloration score (1 = no discoloration [0%], 6 = extensive discoloration [81–100%]). ΔE was calculated as a measurement of discoloration. Objective and subjective color data were analyzed as repeated measures with treatment, day, and their interaction as fixed effects using the MIXED procedure of SAS. ΔE was analyzed using the GLIMMIX procedure of SAS with the fixed effect of treatment. Striploin served as the experimental unit for steak data, and batch was the experimental unit for ground bison data.
Results: A treatment × day interaction (P < .0001) was observed for all objective and subjective color data on bison steaks. Initially, thawed steaks were redder (P < .05) than fresh steaks and had less objective and subjective discoloration. The a* values of fresh steaks did not differ (P > .05) from display day 0 to 30, while thawed steaks decreased (P < .05) in redness from display day 0 to 9. Subjective discoloration scores increased (P < .05) from the beginning to the end of the display period for both treatments; however, thawed steaks had a significantly higher (P < .05) subjective discoloration score on days 6 and 9 of display compared to fresh steaks. By day 6, 80% of thawed steaks had a subjective discoloration score of 6, leading to the early termination of the retail display at day 9 for all thawed samples. Steak subjective color scores increased (P < .05) from the beginning to the end of the display period for both treatments. Fresh steaks had a smaller (P < .05) ΔE than thawed steaks, indicating less color change from the beginning to the end of the color display. A day effect (P < .0001) was observed for objective color measurements of ground bison, while a treatment × day interaction (P < .0001) was observed for subjective color data. The a* of ground samples decreased (P < .05) from day 0 to the end of the display period. Storage treatment did not influence (P > .05) discoloration scores from day 0 to day 3 of the display period. However, on day 6 and day 9, the thawed grind had greater (P < .05) subjective discoloration scores compared to fresh ground bison. The subjective color scores of ground bison increased (P < .05) from the beginning to the end of the display period for both treatments. Thawed ground bison had a smaller (P < .05) ΔE than fresh for the whole display period (fresh: day 0–30, thawed: day 0–9). However, when both treatments for grind samples were evaluated for the same length of time (day 0 to 9), there were no differences (P > .05) between treatments for ΔE. The difference observed for the entire display period could be attributed to the extended amount of time the fresh treatment was on display when compared to the thawed treatment.
Conclusion: These data indicate that the color stability of bison strip steaks is more susceptible to the effects of freezing and thawing than ground bison. Overall, freezing and thawing produced steaks with an increased rate of discoloration, while the effects of freezing and thawing had a limited impact on the color stability of ground product when evaluated for the same length of time. Thawed steaks had less discoloration than fresh steaks on day 0; however, fresh steaks maintained their color during the entirety of the panel. The bison market is expected to grow 6.5% annually over the next 7 y, and there could be opportunities to grow market share if desirable color can be maintained after thawing. Future research is warranted to determine optimal freezing and thawing conditions for bison products to ensure color stability and consumer satisfaction.
Funding Source: This research was supported by state and federal funds appropriated to South Dakota State University, including support from the South Dakota State University Agriculture Experiment Station, US Department of Agriculture National Institute of Food and Agriculture through the Hatch Act (accession #7008365), and by the Center of Excellence for Bison Studies.
Keywords: bison, color, freezing, thawing, quality.
51 Characterizing Muscle-Specific Pork Quality of the Semitendinosus, Gluteus Medius, Psoas Major, Longissimus Thoracis, and Triceps Brachii
Yifei Wang*, Rebecca Brown, Milena Conte, Lyda G. Garcia, and Benjamin M. Bohrer, Department of Animal Sciences, The Ohio State University, Columbus, OH 43210, USA *wang.10408@osu.edu
Introduction/Objectives: Most research on fresh pork quality has predominantly focused on the pork loin (Longissimus thoracis et lumborum) muscle. However, variation in pork quality exists across muscles throughout the carcass due to differences in biochemical composition and postmortem metabolism. Studies have suggested the quality traits of pork loin were not representative of the entire carcass, yet research beyond the loin muscle remains limited. Understanding muscle-specific pork quality and eating experience could optimize fresh muscle cut handling strategies (aging and cooking), enhance consistency of pork quality, and expand fresh pork offerings. Therefore, the objectives were to characterize the rate of pH and temperature decline, pork quality attributes, and proteolytic changes during postmortem aging of 5 muscles, including the semitendinosus (ST), Gluteus medius (GM), Psoas major (PM), Longissimus thoracis (LT), and Triceps brachii (TB), as well as to evaluate the influence of endpoint cooking temperature on eating experience for each muscle cut.
Materials and Methods: Fifteen barrows (hot-carcass weight = 93.2 ± 3.0 kg; offspring of maternal-line genetics) were slaughtered using single-file electrical stunning. The pH and temperature of ST, GM, PM, LT, and TB were measured at 1 h, 3 h, 6 h, 9 h, 12 h, and 24 h postmortem during the conventional chilling period and analyzed using repeated measures. Instrumental Commission Internationale de l’Eclairage color (L*, a*, b*), drip loss, and intramuscular fat content of each muscle were evaluated using a Minolta CM-700d colorimeter, the EZ cup method, and Soxhlet extraction, respectively. These evaluations were conducted following carcass fabrication at 24 h postmortem and analyzed as a randomized complete block design, with muscle as the fixed effect and slaughter day as the random effect. Warner-Bratzler shear force (WBSF) was determined using a TA-XT Plus texture analyzer following postmortem aging for 1 d, 3 d, or 10 d and endpoint cooking temperatures of either 63°C or 71°C using sous-vide cooking. Data were analyzed using a split–split-plot design, with muscle as whole-plot factor, aging day as the subplot factor, and cooking temperature as the sub-sub plot factor. Postmortem proteolysis was evaluated by conducting Western blots for calpain-1 autolysis, desmin degradation, and troponin-T degradation. Calpain-1 autolysis was evaluated at 1 d postmortem and analyzed as a randomized complete block design, with muscle as the fixed effect and slaughter day as the random effect. Desmin and troponin-T degradation were measured at 1 d or 10 d postmortem and analyzed as a split-plot design, with muscle as whole-plot factor and aging day as the subplot factor. Trained sensory evaluation was performed on the 5 muscle cuts following 10 d of postmortem aging and endpoint cooking temperatures of either 63°C or 71°C using sous-vide cooking. Tenderness, juiciness, chewiness, and pork flavor were evaluated by trained panelists on 15-cm continuous-line scales anchored at 0 cm, 7.5 cm, and 15 cm. Sensory data were analyzed as an incomplete block design, with fixed effects of muscle cut, cooking temperature, and their interaction and random effects of panel session, panelist, pork carcass, and their interactions. All statistical analyses were performed using PROC GLIMMIX of SAS v9.4.
Results: The main effect of muscle was significant (P < .01) for rate of pH and temperature decline, lightness (instrumental L*), redness (instrumental a*), drip loss, and intramuscular fat content. The LT had faster (P < .05) rates of pH decline from 1 h to 3 h postmortem compared with the TB, while the ST and GM were at intermediate levels, and the PM was much slower than all other muscles. The LT and PM had faster (P < .05) rates of temperature decline from 1 h to 3 h postmortem compared with the TB and GM, while the ST was at intermediate levels. The LT had the greatest (P < .05) drip loss compared with all other muscles. A muscle and cooking temperature interaction (P < .01) was observed for WBSF, sensory tenderness, and sensory juiciness. Muscle-specific differences existed when observing the magnitude of change between the 2 endpoint cooking temperatures, which can be used to explain how forgiving each individual muscle cut may be to endpoint cooking temperatures above recommended levels of 63°C. Reducing endpoint cooking temperature resulted in the greatest change in WBSF for the GM and the greatest change for sensory juiciness and sensory pork flavor for the LT. Regardless of cooking temperature, the GM had the greatest WBSF, while the PM had the lowest WBSF. Moreover, the PM and the ST had the most favorable sensory tenderness, sensory juiciness, and sensory pork flavor scores. When comparing the sensory scores with the midpoint (7.5) of the 15-cm sensory scale, all muscle cuts had mean ratings on the more tender and more juicy side of the sensory scale (scores > 7.5) at 63°C, while all muscle cuts had mean ratings on the tougher and drier side of the sensory scale (scores ≤ 7.5) at 71°C. Additionally, an interaction between aging days and endpoint cooking temperature influenced (P = .02) WBSF, with the reduction in WBSF from 71°C to 63°C being more pronounced at 1 d and 3 d of aging compared with 10 d. Furthermore, postmortem proteolysis varied among muscles, with LT and GM demonstrating greater (P < .05) calpain-1 autolysis at 1 d postmortem compared to other muscles. Additionally, at both 1 d and 10 d postmortem, the GM exhibited the greatest (P < .05) desmin degradation, while the LT showed the greatest (P < .05) troponin-T degradation.
Conclusion: The results of the current study identified muscle-specific variations in the rate of pH decline, instrumental color, tenderness, water-holding capacity, extent of proteolysis, and eating experience of 5 pork muscles. The LT exhibited the fastest rate of pH decline, the greatest drip loss, and was the least forgiving at greater cooking temperatures, exhibiting the most significant reductions in juiciness scores when cooked to 71°C rather than 63°C. The variation in pork quality traits and postmortem proteolysis were likely influenced by muscle fiber type but should not be explained solely by variations in muscle fiber type distribution. Instead, these differences were likely influenced by other muscle-to-muscle variations in live muscle function (i.e., support vs. locomotion) and postmortem metabolism. Therefore, consideration should be given to the individual muscle cuts of interest when evaluating pork quality.
Funding Source: This research was funded by the Ohio State University College of Food, Agricultural, and Environmental Sciences internal grants program.
Keywords: muscle profile, muscle biochemistry.
52 Second Dose to Marketing Time Interval Influences Fat Quality of Market Gilts Managed With Immunologic Suppression of Ovarian Function
Benjamin M. Bohrer1,*, Manuel Juárez2, Blaine Hansen3, Jose Landero4, Malachy Young4, and Leanne Van DeWeyer5, 1Department of Animal Sciences, The Ohio State University, Columbus, OH 43210, USA, 2Agriculture and Agri-Food Canada, Lacombe, AB T4L 1W1, Canada, 3BCH Consulting LLC, Atlantic, IA 50022, USA, 4Gowans Feed Consulting, Wainwright, AB T9W 1L2, Canada, 5Zoetis Canada, Kirkland, QC H9H 4M7, Canada *bohrer.13@osu.edu
Introduction/Objectives: Temporary immunologic suppression of ovarian function and estrus is achieved in market gilts with Improvest (Zoetis Inc.). The product requires 2 sequential subcutaneous injections (i.e., doses) administered at least 4 wk apart, with full suppression of ovarian function demonstrated 4 wk to 10 wk after the second dose. Recent research has shown the performance changes and financial importance of closely monitoring the duration between the second dose and slaughter (i.e., time interval postsecond dose), and current recommendations for optimal performance benefits are to market gilts at a weighted average of 40 d postsecond dose, with all gilts being marketed prior to 49 d postsecond dose. The objective was to determine the effect of time interval postsecond dose on fat quality of market gilts managed with immunologic suppression of ovarian function.
Materials and Methods: The live animal portion of the study consisted of 1,008 market gilts (PIC 800 sire × PIC Camborough F1 sows; Genus PIC) housed in 48 pens within the same barn with 21 pigs/pen. Pigs were randomly allocated to 8 treatments at the start of the grow-finish period (average starting weight of 30 kg). A total of 160 market gilts (3 or 4 per pen) were used for this study and were the first pigs marketed from pens. Treatments were 1 treatment of nonimmunized gilts (CON) and 7 treatments of immunized gilts (Improvest, Zoetis Inc.), varying second dose to marketing time interval. The 7 treatments for the immunized gilts were intervals between the second dose and marketing of 7 d (Improvest Strategy 1), 14 d (Improvest Strategy 2), 21 d (Improvest Strategy 3), 28 d (Improvest Strategy 4), 35 d (Improvest Strategy 5), 42 d (Improvest Strategy 6), or 49 d (Improvest Strategy 7). Timing of doses was altered so that the interval between dose 1 and dose 2 was 35 d for all treatments, and all treatments were marketed on a fixed time basis. Pigs (N = 160) were slaughtered in a provincially inspected facility using group CO2 stunning and conventional chilling. Loins were evaluated for pH, subjective color, instrumental color, subjective marbling, and subjective firmness. Bellies were evaluated for dimensions (thickness, width, and length), skin tension, and belly bend angle. Subcutaneous fat samples were collected from the posterior dorsal edge of the belly (i.e., under the flank muscle) and evaluated for fatty acid profile. Data were analyzed with the MIXED procedure of SAS (v9.4; SAS Inst. Inc.), with pen serving as the experimental unit. Treatment served as the fixed effect, while block (weight at the start of the grow-finish period) served as a random effect in the statistical model. Single degree of freedom contrast statements were used to test the difference between the CON treatment and the 7 treatments of immunized gilts as well as the linear and quadratic effects among the 7 treatments of immunized gilts. Differences between treatments were considered significant at a P value less than or equal to .05.
Results: Hot-carcass weight (HCW), dressing percentage, and last rib backfat thickness were neither different (P ≥ .20) among treatments, nor were there linear or quadratic effects (P ≥ .25) among the 7 treatments of immunized gilts. This was surprising, as previous research has supported a 3% improvement in HCW (95% CI, 2.5–3.5%) and 2.8-mm greater backfat thickness for immunized gilts compared with nonimmunized gilts. There were limited differences (P > .05) observed for loin quality parameters. There were limited treatment differences for belly dimensions (i.e., thickness measured at the shoulder end, thickness of the soft tissue layers measured at the latissimus dorsi location, thickness measured at the bend site, belly width, and belly length). The only significant treatment differences (P < .05) were for layer 1 thickness (first layer of lean) and layer 5 thickness (intermediate subcutaneous fat layer) at the bend site. Both of these values did not follow consistent linear trends, and the CON treatment was intermediate in value compared with the 7 treatments of immunized gilts. Additionally, there were limited instances of significant linear or quadratic trends among the 7 treatments of immunized gilts for belly dimensions. The lone linear effect (P < .01) was for layer 3 thickness (obliquus internus abdominis muscle) at the bend site, which decreased as time interval postsecond dose increased (i.e., from Improvest Strategy 1 to Improvest Strategy 7). There was a significant treatment effect (P = .02) and a significant linear effect (P = .01) for skin tension. Skin tension scores decreased as time interval postsecond dose increased. There was a significant treatment effect (P = .03) for belly bend angle. Gilts managed with Improvest Strategy 5, 6, and 7 had lower (P < .05) values for belly bend angle compared with the CON treatment. There were significant treatment effects (P < .05) for total saturated fatty acids (SFA) and iodine value (IV) and significant linear effects (P < .05) among the 7 treatments of immunized gilts for total SFA, total monounsaturated fatty acids (MUFA), total polyunsaturated fatty acids (PUFA), and IV. As time interval postsecond dose increased, the percentage of SFA increased, and the percentage of MUFA and PUFA decreased. This resulted in linear decrease in IV as time interval postsecond dose increased. Specifically, IV for gilts managed with Improvest Strategy 5 and 6 were 1.8 U and 2.0 U lower than nonimmunized gilts, respectively.
Conclusion: Loin quality was not different between nonimmunized gilts and gilts managed with immunologic suppression of ovarian function and estrus. Belly firmness and fatty acid profile can be improved when managing gilts with ovarian function and estrus, but improvements were not observed until 35 d following the second dose of Improvest, where IV, skin tension test, and belly bend angle all began to deviate from nonimmunized gilts.
Funding Source: Funding was provided by Zoetis Inc.
Keywords: anti-GnRF, estrus suppression, fat.
53 Influence of Spoilage Bacterial Load on Beef Striploin Color Stability During Retail Display
Allison C. Grande*, Colton L. Smith, Ifigenia Geornaras, and Mahesh N. Nair, Department of Animal Sciences, Colorado State University, Fort Collins, CO 80521, USA *agrande@colostate.edu
Introduction/Objectives: The color and appearance of beef significantly influence consumer purchasing decisions, which, in turn, influences its retail shelf life. Recent studies suggest that 2.55% of beef produced in the United States is discarded due to discoloration, resulting in an annual economic loss of $3.7 billion for the beef industry. Previous studies have also indicated that spoilage bacteria can influence the color of beef and its shelf life. Specifically, differences in bacterial growth kinetics could play a role in the muscle-specific color stability of beef muscles. However, the impacts of different starting levels of spoilage bacteria present at the time of packaging and their growth on beef color during retail display are not clearly understood. Therefore, the objective of this study was to investigate the impact of different initial levels of spoilage bacteria on the shelf life (color and odor) of beef striploin steaks during retail display.
Materials and Methods: Eight side-paired US Department of Agriculture choice beef striploins (n = 8) were randomly selected and aged under vacuum (2°C, 14 d) in 2 separate trials (n = 4/trial). After aging, striploins were surface-decontaminated by immersion into boiling water (2 min), followed by aseptic removal of the heat-exposed surface and fabrication into 1-cm thick steaks. The steaks were placed on foam trays, and the upper surface was inoculated with a mixture of 6 beef spoilage bacteria (3 Pseudomonas spp. and 3 lactic acid bacteria [LAB]). The inoculation levels targeted were 2 Log CFU/cm2, 4 Log CFU/cm2, and 6 Log CFU/cm2 (designated as low-INOC, medium-INOC, and high-INOC, respectively). Inoculated steaks were overwrapped with polyvinyl chloride film and placed into a multideck retail display case (0–3°C) for up to 9 d (the first day was designated as day 0). On each display day, lightness (L*), redness (a*), and yellowness (b*) were measured instrumentally, and trained visual panelists determined lean color and percentage discoloration on each steak’s surface. Additionally, a 4-cm by 4-cm area of the light-exposed surface of the steaks was excised and analyzed for aerobic plate counts (APC), LAB counts, and Pseudomonas spp. counts. After sampling steaks for microbial analysis, the remaining light-exposed surface was excised and placed into capped glass tubes and used for qualitative odor analysis. Using Qualtrics, panelists were asked to indicate if they considered the sample spoiled and whether they would consume or cook the product with that odor. The data for instrumental color, panelist color, and microbial counts were analyzed in a factorial model with inoculation level, display day, and their interaction as fixed effects, with trial as a block, and carcass as a random variable. Means were separated using analysis of variance with Kenward-Roger degrees of freedom adjustment, and data were separated with the emmeans package in R. Significance was set at a P value of less than .05. Results for the odor analysis were analyzed using a binomial logit model with the same model parameters as the factorial design, and data were reported as odds ratios.
Results: The mean initial (day 0) APC recovered from the low-INOC, medium-INOC, and high-INOC steaks were 1.6 Log CFU/cm2, 3.5 Log CFU/cm2, and 5.6 Log CFU/cm2, respectively. The APC of all 3 treatments remained unchanged (P > .05) until day 5 (low-INOC, high-INOC) and day 6 (medium-INOC) of retail display. However, the APC increased (P < .05) by 2.6 Log CFU/cm2 to 2.7 Log CFU/cm2 (compared to day 0) by day 9 across all 3 INOC treatments. On the last day of retail display, the APC of steaks were 4.2 Log CFU/cm2 (low-INOC), 6.2 Log CFU/cm2 (medium-INOC), and 8.2 Log CFU/cm2 (high-INOC). The Pseudomonas spp. counts followed a similar trend to that obtained for the APC, whereas the LAB counts increased at a slower rate compared to the 2 other bacterial count types. All 3 treatments had similar (P > .05) redness and yellowness on day 0 of the retail display. The redness was similar (P > .05) between the treatments until day 6, after which the high-INOC samples had lower (P < .05) redness compared to the other 2 treatments. By day 9, the low-INOC, medium-INOC, and high-INOC steaks had redness values of 24.47, 22.59, and 15.39, respectively, indicating that steak surface redness was influenced by the bacterial load. Similar to a*, yellowness for the high-INOC was lower (P < .05) compared to the other 2 treatments from day 7 through day 9 of the retail display. In agreement with the instrumental redness results, the panelist’s lean color scores and discoloration scores were higher (P < .05) for high-INOC on day 7 through day 9 compared to the other treatments. By day 9 of the retail display, the high-INOC steaks were 67% discolored as compared to 5.4% for the low-INOC and 9.5% for the medium-INOC samples. The odor panelists were more likely (P < .05) to consider a sample as spoiled with increased inoculation level and increasing retail display days. Specifically, the high-INOC steaks were 1.3 times more likely to be considered spoiled compared to the low-INOC samples, and day 9 samples were 24.8 times more likely to be considered spoiled compared to day 0 samples. Similarly, panelists were more likely (P < .05) to consume low-INOC steaks and with fewer days of retail display.
Conclusion: The results of the study indicated that regardless of the initial concentration of spoilage bacteria, bacterial levels increased by a similar magnitude on the beef striploin steaks by the end of the retail display. However, the color was influenced by bacterial levels once growth commenced, with the high-INOC treatment discoloring faster compared to the other treatments. These results suggest that the color of beef striploin steaks during retail display was influenced by the bacterial load (i.e., concentration) rather than the number of days of bacterial growth on the steaks.
Keywords: beef, bacteria, color, odor, spoilage.
54 Microbial and Biochemical Changes in Wet-Aged Beef Semimembranosus, Gluteus Medius, and Biceps Femoris Muscles
Maggie Holloway1,*, Amelia Main2, Sebastian Hernandez2, Colton Smith1, Gina Geornaras1, Dale Woerner2, Jerrad Legako2, Travis O’Quinn3, Chris Kert4, Rhonda Miller4, Jessica Lancaster5, Maheah Nair1, 1Colorado State University, Fort Collins, CO 80523, USA, 2Texas Tech University, Lubbock, TX 79409, USA, 3Kansas State University, Manhattan, KS 66506, USA, 4Texas A&M University, College Station, TX 77843, USA, 5National Cattlemen’s Beef Association, Centennial, CO 80112, USA *maggie.holloway@colostate.edu
Introduction/Objectives: Postmortem wet aging is the most common aging method used in the meat industry to enhance tenderness, palatability, and overall consumer acceptance of beef. Previous industry surveys have indicated that the average aging time for beef is 25.9 d, while some beef cuts can get aged for up to 102 d. During postmortem aging, several microbiological and biochemical changes occur within the muscles. Most of the previous aging studies focused on the longissimus lumborum muscle. It has become more common to market single muscle cuts such as the semimembranosus (SM), gluteus medius (GM), and biceps femoris (BF). However, few studies have been conducted on microbial and biochemical changes in these muscles during aging. Therefore, the objective of this study was to determine the impact of aging on the microbial load, microbiome (16S ribosomal RNA gene sequencing and analysis), and desmin degradation of beef SM, GM, and BF.
Materials and Methods: Beef top rounds (SM) and sirloin top butts (N = 80) were collected at a commercial beef processing facility. These subprimals were wet aged for 14 d, 28 d, 35 d, 42 d, 49 d, 56 d, 63 d, or 70 d, and on each of these days, the BF and GM were separated from the top sirloin butt. Ten (n = 10) samples were analyzed from each muscle for each aging period. On each aging day, 2 separate 5-cm by 10-cm areas of the muscle were sampled using separate sponge samplers. Buffered peptone water was added to 1 set of sponge samples, followed by mechanical pummeling and analysis for total aerobic mesophilic microflora counts (AC) and lactic acid bacteria counts (LABC) using the TEMPO® system. To the second set of sponges, phosphate-buffered saline (PBS) was added, and after mechanical pummeling, the liquid was collected and stored at −70°C for microbiome analysis. Additionally, on each aging day, the muscles were fabricated into 2.54-cm thick steaks, frozen in liquid nitrogen, powdered, and stored at −70°C for desmin degradation analysis. After extracting bacterial DNA from the PBS meat homogenate, microbiome library preparation was performed according to the Earth Microbiome Project (https://earthmicrobiome.org/), and an Illumina miSeq was used for sequencing. Downstream analysis was performed using the Qiime2 pipeline. Desmin degradation was analyzed using a Western blotting system. The protein concentration was measured using a detergent compatible protein assay and normalized with a Coomassie blue stain. The proteins were then separated using sodium dodecyl sulfate-polyacrylamide gel electrophoresis and transferred to a polyvinylidene fluoride membrane. Desmin was visualized using primary (polyclonal rabbit antidesmin) and secondary (goat antirabbit-HRP) antibodies. All data were analyzed using R, and significance was set at α equal to 0.05. After downstream analysis, microbiome analysis was performed using the phyloseq, vegan, and pairwiseAdonis packages, and samples were rarefied at 4800 sequences. The relative abundance, α diversity (with Shannon and Simpson diversity indices), and β diversity (Bray-Curtis and weighted UniFrac) were evaluated. The bacterial counts and desmin degradation were analyzed using the emmeans package and a linear mixed effects model. The 55 kDa intact band intensity was evaluated using iBright analysis software for desmin degradation.
Results: All 3 muscles had a low microbial load (<2 Log CFU/cm2) initially (day 14), which increased over time, as expected. In the SM, the AC did not increase (P > .05) after 28 d of aging, and LABC showed no substantial increases (P > .05) after 42 d. By day 70 of aging, the SM muscle had an AC of 5.6 Log CFU/cm2 and LABC of 6.0 Log CFU/cm2. In GM, the AC and LABC increased (P < .05) by 4.5 Log CFU/cm2 and 3.8 Log CFU/cm2, respectively, from day 14 to day 42 of aging. After 42 d, no significant differences (P > .05) in AC and LABC were obtained in the GM muscle. The AC at 70 d of aging for the GM was 6.4 Log CFU/cm2, while the LABC was 6.0 Log CFU/cm2. The AC of BF did not increase (P > .05) after 42 d, whereas the LABC did not increase (P > .05) after 35 d of aging. The bacterial load of the BF muscle at 70 d of aging was 6.1 Log CFU/cm2 and 6.0 log CFU/cm2 for AC and LABC, respectively. For all 3 muscles, the Leuconostoc bacterial genus had the greatest relative abundance, followed by Carnobacterium, when averaged over all 8 aging periods. Both α and β diversity of all the muscles decreased (P < .05) over time. The α diversity of the SM aged for 14 d was different (P < .05) from all other aging periods other than 35 d. The GM muscle had similar (P > .05) α diversity across all aging periods. However, the 14-d aging period was different (P < .05) from all other aging periods for β diversity indices. The α diversity of BF after 14 d of aging was similar (P > .05) to 28 d but differed (P < .05) from all other aging periods. On the other hand, β diversity after 14 d of aging was different (P < .05) from all other aging periods. Overall, there was an initial increase (P < .05) in desmin degradation with aging for all the muscles, but as aging time increased, there was no further increase in desmin degradation. Specifically, desmin did not degrade further after 35 d for the SM and BF and 49 d for GM.
Conclusion: Generally, for all 3 muscles, the microbial load and desmin degradation increased with aging, whereas microbial diversity decreased with aging. Aside from the initial 14-d aging period, the most abundant bacterial genera were lactic acid bacteria, which could potentially contribute to any souring or off flavors as beef ages. A higher degree of desmin degradation was observed with an increase in aging times for all the muscles, which could lead to increased tenderness. While there were some differences in microbial load, microbial diversity, and desmin degradation during early aging days, those disappeared as the aging time increased. Overall, these results suggest that a longer aging period for these muscles does not necessarily yield a higher-quality product.
Funding Source: Research coordinated by the National Cattlemen’s Beef Association, a contractor to the Beef Checkoff.
Keywords: beef, wet aging, microbiome, desmin, microbiology.
Meat and Poultry Quality and Composition - Measurement and Prediction
55 Nondestructive Prediction of Chicken Drip Metabolites Related to Spoilage
Hyun-Jun Kim1,*, Jiwon Ryu2, Gap-Don Kim1, Jaehoon Baek1, Ghiseok Kim2, and Cheorun Jo2, 1Seoul National University, Pyeongchang-gun, Gangwon-do 25354, Republic of Korea, 2Seoul National University, Gwanak-gu, Seoul 08826, Republic of Korea *alponso92@snu.ac.kr
Introduction/Objectives: Chicken meat spoilage is a significant concern in the food industry, affecting product quality, safety, and shelf life. Conventional spoilage detection methods rely on microbiological and chemical analyses, which are often time consuming and destructive. Drip, the reddish liquid exuded from the surface of meat during storage, contains metabolites that undergo changes due to structural alterations caused by spoilage microorganisms and endogenous enzymes. Therefore, analyzing changes in drip metabolites can offer valuable insights into the condition of the meat. This study aimed to nondestructively monitor these metabolites using visible/near-infrared (Vis/NIR) spectroscopy combined with data augmentation techniques.
Materials and Methods: Chicken breast samples were vacuum packaged and stored at 4°C for 13 d. Drip samples were collected at different storage periods (days 5, 7, 11, and 13) and analyzed using both nuclear magnetic resonance (NMR) spectroscopy and Vis/NIR transmittance spectroscopy (600–1000 nm). Microbial composition changes were assessed using 16S ribosomal RNA (rRNA) sequencing to identify dominant bacterial species. Metabolites in the drip were quantified using 1-dimensional 1H NMR spectroscopy. Spectral preprocessing was performed using standard normal variate, multiplicative scatter correction, range normalization, and maximum normalization. Data augmentation was applied using the offset method, which adds random Gaussian noise; the multivariate normal sampling (MVN) method, which resamples within a normal distribution; and the multivariate signal augmentation (EMSA) method, which generates new spectra by perturbing scatter correction coefficients. The prediction model used was the partial least-squares regression (PLSR) model. Model validation was conducted using leave-one-out cross-validation. The performance of the prediction model was evaluated using the coefficient of determination (R2), root mean squared error (RMSE), and residual predictive deviation (RPD).
Results: Chicken drip showed a significant increase in acetate, cadaverine, glutamate, hypoxanthine, methionine, putrescine, and tyramine over the storage period, whereas inosine monophosphate, tyrosine, and uridine monophosphate (UMP) significantly decreased (P < .05). According to 16S rRNA sequencing, Carnobacterium, Lactococcus, and Serratia became the predominant microorganisms in chicken meat after 13 d of vacuum-packaged storage. Transmittance spectra of chicken drip were measured and calibrated within the 600 nm to 1000 nm range. The raw spectra showed a gradual increase in transmittance from 600 nm to 850 nm, peaked at 850 nm, then decreased to a minimum between 900 nm and 950 nm before increasing again. Representative spoilage metabolites (acetate, cadaverine, putrescine, tyramine, tyrosine, and UMP), along with the preprocessed spectra, were used to train PLSR models. Each preprocessing method resulted in different prediction performances. Maximum normalization yielded the best results for acetate (R2 = 0.56, RMSE = 0.15, RPD = 1.51), putrescine (R2 = 0.65, RMSE = 0.10, RPD = 1.69), tyrosine (R2 = 0.83, RMSE = 0.08, RPD = 2.42), and UMP (R2 = 0.76, RMSE = 0.01, RPD = 2.05). Range normalization was most effective for cadaverine (R2 = 0.77, RMSE = 0.14, RPD = 2.07), while no preprocessing provided the best prediction for tyramine (R2 = 0.61, RMSE = 0.11, RPD = 1.61). When variable importance in projection (VIP)-based wavelength selection was applied, the R2 values improved for all metabolites except UMP. Data augmentation methods (offset, MVN, and EMSA) also improved PLSR model performance for all 6 metabolites. Among them, EMSA led to the greatest improvements for acetate, cadaverine, putrescine, and tyramine, while MVN was most effective for tyrosine and UMP. Combining data augmentation with VIP-PLSR further improved model performance, particularly for acetate and tyrosine. Overall, the most effective approach varied by metabolite: VIP-PLSR was most suitable for cadaverine (R2 = 0.79), putrescine (R2 = 0.77), and tyramine (R2 = 0.73); MVN augmentation was optimal for UMP (R2 = 0.82); and the combination of VIP and augmentation showed the best performance for acetate (R2 = 0.64) and tyrosine (R2 = 0.88).
Conclusion: This study demonstrated that Vis/NIR spectroscopy combined with chemometric techniques is an effective nondestructive approach for monitoring chicken meat spoilage. Incorporating wavelength selection and spectral augmentation significantly enhanced the predictive performance of the PLSR models. The identification of key metabolites and spectral regions offers valuable insights into spoilage mechanisms, enabling real-time assessment of meat freshness. Future research should investigate alternative machine learning methods, including nonlinear models, to further improve prediction accuracy. Additionally, integrating advanced spectral preprocessing techniques may enhance model robustness across diverse storage and packaging conditions. These findings support the development of rapid, noninvasive quality control strategies in the poultry industry, contributing to reduced economic losses and improved consumer safety.
Funding Source: This work was carried out with the support of the National Research Foundation of Korea grant funded by the Korea government (MSIT; No. RS-2024-00453016).
Keywords: chicken, drip, Vis/NIR spectroscopy, data augmentation, nondestructive.
Meat and Poultry Quality
56 Impact of Toxic Fescue Consumption During Gestation on Muscle Growth Gene Expression and Beef Color Quality of the Offspring
Madison Blank1,*, Paul Dahunsi1, Morgan Denzer2, Yan Huang3, Britni P. Littlejohn3, and Derico Setyabrata1,3, 1Department of Animal Science, University of Arkansas, Fayetteville, AR 72704, USA, 2Department of Food Science, University of Arkansas, Fayetteville, AR 72701, USA, 3Department of Animal Science, Division of Agriculture, University of Arkansas, Fayetteville, AR 72704, USA *blank@uark.edu
Introduction/Objectives: Endophyte-infected tall, toxic, fescue is the most common forage for beef cattle in the southeastern United States. However, exposure to this forage causes detrimental effects on the health of gestating cattle. The exposure to toxic fescue during gestation has been shown to impact fetal development during pregnancy and their offspring’s subsequent growth. However, limited information is currently available on the impact of this exposure on the meat quality of the offspring. Our objective is to determine how the dam’s consumption of toxic fescue during gestation impacts muscle growth gene expression and the beef color quality of the offspring.
Materials and Methods: A total of 22 animals (11 female offspring calves born to first-calf heifers that consumed toxic fescue seed [E+] and 11 heifer calves born to heifers that consumed endophyte-free fescue seed [E−] during mid-late gestation) were followed until harvest in a commercial facility. Prior to transportation to the feedlot, 6 animals from each group were randomly selected for a muscle biopsy from the longissimus lumborum between the 12th and 13th ribs to analyze muscle growth gene expression. All animals were then fed together in a single pen until they reached market weight and harvested together as a single group in a commercial processing facility. A section (∼6 cm) of striploin (longissimus lumborum; IMPS #180) from the opposite side of the biopsy site was collected on all carcasses at 3 d postmortem and transported to the Meat Science and Muscle Biology Laboratory at the University of Arkansas for further processing and analysis. Following arrival, the striploin sections were further cut into 3 equal pieces and randomly assigned into 3 different wet-aging durations: 1) no additional aging, 2) aged to 7 d, and 3) aged to 14 d. Samples assigned to aging were individually vacuum packaged, placed inside a box, and aged at 2°C. When the designated aging time was reached, the samples were subjected to pH and instrumental bloom color using Hunter MiniScan following 1 h of blooming. The study was a complete block design with a split-plot arrangement. Animals were the random effect, and both the feeding and aging periods were the fixed effects. Data were analyzed using the PROC GLIMMIX procedure of SAS. Least-square means were separated (F-test, P < .05).
Results: The expression of 3 genes (Pax7, MyoG and MSTN) were analyzed to identify the impact of toxic fescue consumption by dams during gestation on offspring growth potential. No significant impact was observed on the expression of any of the 3 genes. However, there was a tendency (P = .086) in the expression of Pax7, exhibiting higher expression in the E+ group compared to the E− group. No significant feeding or aging period effects were observed for pH, showing similar pH across all treatments. For bloom color, no feeding treatment impact was observed on any color traits (P > .05). A significant aging period effect, however, was observed on instrumental color traits. Greater lightness, redness, yellowness, hue angle, and chroma were measured on samples aged to 7 d and 14 d, compared to 0-d samples (P < .05).
Conclusion: The current results demonstrate that consumption of E+ by pregnant first-calf heifers during mid-late gestation has a minimal impact on the meat color quality of female offspring. Similar meat color quality was observed regardless of the treatment, although the duration of aging impacted bloom color quality. Further investigation into the impact of toxic fescue consumption during gestation on the meat tenderness quality and proteolytic characteristic of the offspring is currently in progress.
Funding Source: This project is partially funded by Arkansas Beef Council and University of Arkansas Honors College.
Keywords: aging, toxic fescue, bloom color, gene expression, prenatal programming.
57 Evaluating the Impact of Differing Surface Areas and Weights of Beef Striploin and Sirloin Steaks in Tri-Gas Modified Atmosphere Master Bags on Retail Display
Grace E. Harris*, Morgan Pfeiffer, Ranjith Ramanathan, and Gretchen G. Mafi, Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA *gretchen.mafi@okstate.edu
Introduction/Objectives: Many factors impact fresh beef color including the chemical state of myoglobin, metmyoglobin reducing activity, oxygen consumption, and lipid oxidation. The case-ready industry employs master bags with an oxygen scavenger to extend the shelf life of polyvinyl chloride (PVC)-overwrapped trays in the meat case. However, no standards are available regarding surface area and/or weight that a single oxygen scavenger can optimally maintain. Filling the master bag with more meat than the oxygen scavenger can manage may have detrimental impacts on fresh meat color and ultimately shelf life. Limited research is available evaluating the effects of weight or surface area of meat in a master bag with oxygen scavengers. Thus, the objective of this study was to evaluate the impact of differing surface areas and weights of steaks in carbon monoxide (CO) modified atmospheric packaging (MAP) on shelf stability and to establish standards for optimal surface area and weight of meat for oxygen scavenger capacity.
Materials and Methods: Thirty-two (n = 32) US Department of Agriculture (USDA) low-choice beef striploins (IMPS #180) and 48 (n = 48) USDA low-choice top sirloin butts (IMPS #184) were obtained from a commercial processor and wet aged to 21 d postmortem. Loins were alternately cut based on different thicknesses required to obtain steaks for 3 weight treatments and 3 surface area treatments. The weight treatments (total weight of all steaks in the bag) were 2.7 kg (light weight [LW]), 3.6 kg (intermediate weight [IW]), and 4.1 kg (heavy weight [HW]) in their respective bags. The surface area treatments (total surface area of all steaks in the bag) were 216.70 cm2 (small surface area [SS]), 266.45 cm2 (medium surface area [MS]), and 422.15 cm2 (large surface area [LS]). Top butts were alternately cut based on different thicknesses required to obtain steaks for 3 weight treatments and 2 surface area treatments. The weight treatments were 1.4 kg (LW), 2.7 kg (IW), and 3.6 kg (HW) of beef in their respective bags. The surface area treatments were 291.18 cm2 (SS) and 396.86 cm2 (LS). After slicing, steaks were placed into foam trays (n = 50 strip steaks; n = 46 sirloin steaks) with an absorbent pad and overwrapped with laser perforated PVC film. Trays were placed in master bags based on their designated treatment and flushed with 30% carbon dioxide, 0.4% CO, and 69.6% nitrogen gas with the addition of an oxygen scavenger. Bags were then held in dark storage for 15 d. Oxygen depletion and headspace analysis were conducted, and objective and subjective color measurements were collected during retail display (day 1–7 strips; day 1–6 sirloins). Muscle color and surface discoloration were evaluated by a trained panel (n = 6). Additionally, lipid oxidation, oxygen consumption, and metmyoglobin reducing activity analyses were conducted at the beginning and end of retail display. Data were analyzed using the GLIMMIX procedure of SAS 9.4. Least-squares were separated using the PDIFF option with differences considered significant at a P value less than .05.
Results: On days 1 to 5, treatments of strip steak surface area were similar (P > .05) in muscle color. On days 6 and 7, SS strip steaks were brighter (P < .05) than MS, while LS were similar (P > .05) to both SS and MS. There was no difference (P > .05) in muscle color between weight treatments of strip steaks on any day of retail display. On day 1 for sirloin steaks, SS master bags were brighter (P < .05) than LS; however, on days 2 through 6, surface area treatments were similar (P > .05) in muscle color. On retail day 1, IW master bags were brighter (P < .05) than LW, while HW master bags were similar (P > .05) to LW and IW. On days 2 through 6, there was no difference (P > .05) between sirloin steak weight treatments for muscle color. There was no difference (P > .05) in surface discoloration between treatments on any day for strip steak surface area or sirloin steak surface area or weight treatments. Strip steak weight treatments were similar (P > .05) in surface discoloration on days 1 to 4; however, on days 5 and 6, strip steaks from LW bags were more discolored (P < .05) than IW and HW. Then again on day 7, there was no difference (P > .05) in discoloration between strip steak weight treatments. On day 1 and days 3 to 7 of retail display, a* values were similar (P > .05) between surface area and weight treatments of strip steaks. However, on day 2 of retail display, strip steaks from SS and MS master bags were redder (P < .05) than LS, and LW steaks were redder (P < .05) than IW and HW. On days 1 through 3, SS sirloin steaks were redder (P < .05) than LS but no different on days 4 through 6. IW bags of sirloin steaks were redder (P < .05) than LW and HW on day 1, then treatments of weight were similar (P > .05) for the remainder of retail display. No treatment effect (P > .05) was observed for either cut for lipid oxidation, oxygen consumption, or metmyoglobin reducing activity. Generally, lipid oxidation increased numerically, while oxygen consumption and metmyoglobin reducing activity decreased numerically from the beginning to end of retail display.
Conclusion: Utilizing CO-MAP master bags has been proven to improve meat color. Establishing standards for the surface area and/or weight of meat with oxygen scavengers in master bags is important for improving color stability and the shelf life of beef products. More specifically, if an oxygen scavenger cannot consume oxygen within a master bag due to greater meat surface area or weight, this can be detrimental to meat color. The scavenger utilized in this study had enough capacity to overcome the additional weight or surface area exposed within the master bag.
Funding Source: National Cattlemen’s Beef Association—Beef Checkoff.
Keywords: beef, retail color, packaging.
58 Similarities in the Muscle Fiber Characteristics Among Major Caprine Skeletal Muscles
Jaehoon Baek1,*, Junyoung Park1, Sumin Song1, Huilin Cheng1, Hyun-Jun Kim2, and Gap-Don Kim1,2,3, 1Graduate School of International Agricultural Technology, Seoul National University, Pyeongchang-gun, Gangwon-do 25354, Republic of Korea, 2Institutes of Green Bio Science & Technology, Seoul National University, Pyeongchang-gun, Gagwon-do 25354, Republic of Korea, 3Research Institute of Agriculture & Life Science, Seoul National University, Seoul 08826, Republic of Korea *bjh0607@snu.ac,kr
Introduction/Objectives: Muscle fiber characteristics are crucial factors in understanding not only the conversion of skeletal muscle into meat but also the physicochemical properties of meat. Furthermore, understanding the similarities (or differences) in the muscle fiber characteristics of various skeletal muscles helps to understand the quality differences among meat cuts. Therefore, the aim of this preliminary study was to evaluate the similarities in the muscle fiber characteristics of major caprine skeletal muscles to identify the diversity in the meat quality characteristics of goat meat cuts.
Materials and Methods: Longissimus thoracis et lumborum (LTL), semimembranosus (SM), semitendinosus (ST), psoas major (PM), diaphragm (DP) muscles were obtained from 2 goat half carcasses (12 kg, male, 4 mo of age) after chilling at 4°C for 24 h. For the analysis of muscle fiber characteristics, muscle samples were prepared by cutting into pieces (1.0 × 1.0 × 1.0 cm) and immediately freezing in 2-methylbutane chilled with liquid nitrogen. Transversal and longitudinal sections (10-μm thickness) were obtained from each sample using cryostat microtome (CM1520; Leica Biosystems, Wetzlar, Germany). Sections were blocked in 10% normal goat serum (Cell Signalling Technology, Danvers, MA), and stained with 3 different myosin heavy chain (MHC) isoform-specific primary (BA-F8, anti-MHC slow/I; SC-71, anti-MHC IIA; 6H1, anti-MHC IIX; DSHB, Iowa City, IA) and secondary (anti-immunoglobulin G and anti-immunoglobulin M conjugated with fluorescent dyes such as AlexaFluor 405, 488, and 594; Thermo Fisher Scientific, Waltham, MA) antibodies. The sections were visualized using a fluorescence microscope (EVOS M5000; Thermo Fisher Scientific, Waltham, MA), and 3 different regions were captured for analysis of the cross-sectional area (CSA; μm2), relative fiber area (RFA; %), fiber density (number/mm2), fiber length (μm), and muscle bundle size (μm2), using Image Pro Plus (Media Cybernetics, Rockville, MD). To compare muscle fiber characteristics among different types of muscles, 1-way analysis of variance and Duncan’s multiple range post-hoc test were performed using SAS (v. 9.4, SAS Institute, Cary, NC). Differences were considered at a P value less than .05. To analyze the similarities in muscle fiber characteristics among the muscles, a hierarchical cluster analysis (HCA) was performed.
Results: In the comparison of the muscle fiber bundle size, ST showed a significantly lower value than DP, LTL, and PM (P < .05), whereas no significant difference was observed from SM (P > .05). The DP exhibited to have no type IIX fiber. The length of the type I fibers were significantly higher in the LTL than in other muscles (P < .05). The LTL had significantly longer type IIA than the other muscles, whereas the SM had the shortest (P < .05). In the length of IIX, a significant difference was found between the PM and ST. The PM showed a shorter length than ST (P < .05). The DP and ST appeared to have larger type I CSAs than the LTL and SM (P < .05). In addition, the type IIA CSA was significantly larger than the LTL (P < .05); however, no significant differences were observed for type IIX (P > .05). In the RFA, the DP and PM showed significantly higher proportions of type I than other muscles (P < .05). Among the muscles, the type I ratio of the LTL was significantly lower than that of the SM and ST (P < .05). The proportion of type IIA in the DP was significantly higher than that in the other muscles (P < .05). The relative area of type IIX in the LTL was significantly higher than that in the other muscles and in the PM was the lowest (P < .05). The PM exhibited the highest type I fiber density, followed by DP, SM, LTL, and ST (P < .05). The type IIA fiber densities of the DP and LTL were significantly higher than those of ST, SM, and PM (P < .05). Additionally, the LTL exhibited significantly higher fiber density of type IIX than other muscles (P < .05). A significant difference in total fiber density was found between LTL and ST (P < .05). Analysis of the similarity (HCA) between muscles revealed that the SM and PM had the highest similarity with each other. These 2 muscles exhibited very similar characteristics in terms of muscle fiber length and density, regardless of the muscle fiber type. In addition, they showed a relatively higher similarity with the ST than to the LTL and DP, whereas the DP, which did not contain IIX fibers, appeared to have the lowest similarity with all other muscles.
Conclusion: Among the muscle fiber characteristics of the 5 goat skeletal muscles, the DP muscle showed distinct characteristics compared with the other muscles, specifically the absence of IIX fibers, resulting in the lowest similarity in muscle fiber characteristics with the other 4 muscles. The PM and SM muscles exhibited the highest similarity, with similar sizes and densities of muscle fibers, whereas the LTL muscle showed a low composition of type I fibers. These results will help understand the physicochemical differences or similarities among different types (cuts) of goat meat.
Keywords: goat, skeletal muscles, muscle fiber characteristics.
59 Impact of Sodium Bicarbonate Inclusion Upon Texture, Sensory Ratings, Cooked Color, and pH of Ground Beef Patties
Megan E. Eckhardt*, Ty E. Lawrence, Loni W. Lucherk, and Trent E. Schwartz, West Texas A&M University, Canyon, TX 79016, USA *aarangel1@buffs.wtamu.edu
Introduction/Objectives: Product enhancers, such as sodium bicarbonate, have allowed meat processors the ability to elevate product palatability levels for consumers. Our objective was to evaluate the impact of sodium bicarbonate inclusion rate in ground beef patties upon subjective and objective measures of beef palatability.
Materials and Methods: Ten ground beef chubs with an 80 out of 20 lean-to-fat percentage were used, and each replicate was of similar lot numbers and/or freeze-by dates. Ground beef was stored unfrozen at 35°C prior to patty fabrication. Pure baking soda was incorporated into ground beef at 1 of 4 levels (0%, 0.25%, 0.50%, 1.0%), and immediately after patty fabrication, pH values were recorded. Raw patty instrumental color (L*, a*, b*) in polyvinyl chloride overwrap was obtained during a simulated retail display beginning at day 0 and continuing every 12 h throughout a 5-d period. Patties were then cooked to an average peak-end-point temperature of 78.1°C on a clamshell grill set to a surface temperature of 177°C, and overall cook loss was calculated. Descriptive sensory attributes (beef odor, soapy/alkaline odor, overall juiciness, overall tenderness, beef flavor identity, beef flavor intensity, springiness/gumminess, soapy/alkaline flavor, and bitter flavor) were evaluated by trained sensory panelists. Attributes were based on a 100-point continuous-line scale (0 = none; 50 = moderate; 100 = extremely). Patties designated for objective tenderness were allowed to cool at 3.5°C for approximately 3 h prior to testing. Allo-Kramer shear force (AKSF) was measured on a portion (4.2 × 3.5 cm) of patty removed from the center, across the width of the patty.
Results: Combining ground beef with sodium bicarbonate resulted in a linear increase in pH values as inclusion rate increased, with the 1.0% treatment having the highest pH value (P < .001). AKSF values decreased linearly as sodium bicarbonate levels increased. Patties that included 0.25%, 0.50%, and 1.0% sodium bicarbonate had AKSF values that were 8.5%, 17.1%, and 26.8% lower (P < .001) than patties that did not contain sodium bicarbonate. Cooking losses were similar (P ≥ .664) between 0.0%, 0.25%, and 0.50% sodium bicarbonate treatments, with notably less (P < .001) cooking losses for patties that included 1.0% sodium bicarbonate. Sensory analysis outcomes revealed that as the percentage of sodium bicarbonate increased, beef odor decreased (P < .001) slightly for 0.50% inclusion and notably for 1.0% inclusion. Beef odor was not different between 0.0% and 0.25% sodium bicarbonate inclusion treatments (P = .713). Soapy/alkaline odor was minimal for 0.0% and 0.25% treatments and increased substantially for 0.50% and 1.0% treatments (P < .001). Overall juiciness did not differ (P ≥ .256) between 0%, 0.25%, and 0.5% inclusion treatments, all of which were rated less juicy (P < .002) than patties containing 1.0% sodium bicarbonate. Overall subjective tenderness differed (P < .001) among treatments; however, no meaningful pattern was identified. Beef flavor identity and beef flavor intensity diminished as sodium bicarbonate inclusion increased (P < .001). In contrast, springiness/gumminess, soapy/alkaline flavor, and bitter flavor sensory ratings increased as sodium bicarbonate inclusion increased (P < .001). Regarding objective color, L* values were the highest for 0.0% sodium bicarbonate patties and progressively decreased as sodium bicarbonate level increased (P < .001). Over the 5-d display period, a* values were highest (P < .001) for 1.0% sodium bicarbonate patties and lowest for those containing 0.0% or 0.25%. Inclusion of sodium bicarbonate in the ground beef patties improved fresh red beef color life.
Conclusion: We observed positive impacts on functional and objective properties and negative impacts on sensory properties when ground beef was incorporated with sodium bicarbonate. Future research should focus on determining an effective inclusion rate that will improve beef patty color life and physiochemical traits without negative sensory characteristics.
Funding Source: Ronald E. McNair Post-Baccalaureate Achievement Program and Caviness Meat Science & Innovation Center.
Keywords: AKSF, tenderness, juiciness, sodium bicarbonate.
60 Effect of Lubabegron Fumarate on Carcass Characteristics, Steak Dimensionality, Sensory Analysis, and Shear Force of Beef Steers
Lindsey K. Decker*, Blake A. Foraker, Bradley J. Johnson, Jerrad F. Legako, J. Chance Brooks, Markus F. Miller, and Dale R. Woerner, Texas Tech University, Lubbock, TX 79409, USA *lidecker@ttu.edu
Introduction/Objectives: Lubabegron fumarate (LUB) is the most recently approved β-agonist for use in feedlot cattle, introducing a novel label approval for reduction of ammonia gas emissions per unit of live or carcass weight. Since its approval, it has become widely used across the feedlot industry. However, current research on the effects of LUB on meat quality focuses on specific cattle types, such as heifers and Holstein steers, and thus far has excluded Bos indicus-influenced cattle. Therefore, the purpose of this study was to evaluate the effects of LUB on an industry-representative cattle population.
Materials and Methods: Pens of cattle either fed LUB or not (CON) were identified from 18 lots across 3 major US cattle feeding regions (high plains of Texas, southwest Kansas, and the upper Midwest). A subsample of paired striploins (n = 200 pairs) from each lot was collected. Carcass camera data were collected from each lot. Each lot had an even split of upper 2/3 choice and low-choice quality grades. Once transported to the Texas Tech Meat Laboratory, each pair of striploins was divided into 6 chunks, and each chunk was assigned to an aging treatments: 3 d, 7 d, 14 d, 21 d, 28 d, and 35 d postmortem. A steak yield test was performed. Upon reaching the designated aging period, each chunk was fabricated into 2.54-cm steaks and assigned to 1 of the following assays: trained sensory analysis, shear force, and laboratory assay. Prior to freezing, each steak was imaged for steak dimensionality analysis on a gridded background. Steak numbers were recorded from the anterior to posterior end of the loin. Images were processed using ImageJ, and the following attributes were measured: steak area (cm2), steak length (cm), and steak width at 25%, 50%, 75%, and 87.5% the length of each steak (cm). Steaks for sensory and shear analysis were cooked in a combi-oven to a target peak internal temperature of 71°C. Sensory evaluations were conducted on samples aged 14 d and 28 d by 6 trained panelists per panel using a 15-point line scale. Warner-Bratzler shear force (WBSF) and slice shear force (SSF) were performed on all aging periods. Data were analyzed in R statistical software. Sensory attributes, shear force values, and steak dimension measurements were analyzed using linear mixed models, with treatment, aging period, and quality grade as fixed effects. Kill date served as a random effect. Peak temperature was included as a covariate. Within the model, it was accounted that aging periods were nested within the same carcass, and thus repeated measures. A multivariate analysis of variance was performed on sensory data. In univariate and multivariate analysis, main effects were interpreted when interactions were not significant and α was set at 0.05.
Results: While carcass data were not evaluated using statistical methods, least-squares means were calculated for each treatment. Lots fed LUB had a higher percentage of cattle grading US Department of Agriculture select (6.5%) compared to CON cattle. Moreover, LUB lots had numerically heavier average hot-carcass weights and a larger longissimus muscle area. Steak yield tests indicated that LUB treatment resulted in heavier untrimmed striploin weight, (P = .001), higher total steak weight (P < .001), and increased average individual steak weight (P = .003). However, LUB and CON samples were not different for average steak number (P = .07), and overall steak yield in proportion to total striploin weight (P = .88). Overall steak area, length, and all width measurements were not affected by LUB treatment (P > .11). Trained sensory evaluation resulted in no significant 2- or 3-way interactions (P > .41). LUB feeding decreased muscle fiber tenderness, brown/roasted and fat-like flavor, SSF values, paired with increased connective tissue amount, sour, and liver-like flavors. Moreover, steaks aged 28 d were found to be more tender and have less connective tissue than samples aged 14 d (P < .05). Furthermore, upper 2/3 choice samples were rated higher for juiciness and umami flavor than low-choice samples. Moreover, there were no 2- or 3-way interactions in the multivariate analysis of variance (P > .61). There were differences in LUB treatment, aging period and quality grade (P < .001), likely driven by the univariate sensory differences. Similarly, all 2- or 3-way interactions among treatment, aging period, and quality grade for WBSF were not significant (P > .42) as well as the main effect of LUB treatment (P = .98). Moreover, there was no significant 2- or 3-way interaction for SSF. Upper 2/3 choice samples resulted in lower SSF and WBSF values than low-choice samples (P < 0.01). Both SSF and WBSF values decreased as the aging period increased (P < .001). In both methods, 3-d samples had the greatest shear force values, while 28 d and 35 d had the lowest shear force values.
Conclusion: As a whole, the current work indicates both positive and negative impacts related to the feeding of LUB. An overall decrease in tenderness and shear force values is not unexpected with the use of LUB. Increases in steak yield, paired with the numerical increases in hot-carcass weight and camera longissimus muscle area by LUB, indicate a likely increase in overall muscle deposition, though they likely drive the tenderness decrease. While LUB is labeled for the reduction of ammonia gas emissions, the current evidence of increasing lean muscle indicates a further benefit to the beef industry, though negative quality impacts cannot be ignored.
Funding Source: Research coordinated by the National Cattlemen’s Beef Association, a contractor to the Beef Checkoff.
Keywords: lubabegron, beef quality, sensory, tenderness.
Meat and Poultry Quality and Composition - Measurement and Prediction
61 Predicting Beef Carcass Yield Using 3-Dimensional Imaging
Cooper J. Carter*, Andres Mendizabal, Harshit Parmar, Chris Monico, Blake A. Foraker, Markus F. Miller, and Dale R. Woerner, Texas Tech University, Lubbock, TX 79416, USA *coopcart@ttu.edu
Introduction/Objectives: Despite significant advancements in imaging and computational analysis, carcass grading remains limited by traditional methodologies. The current US Department of Agriculture (USDA) beef yield grade equation employs only 3 independent variables for yield estimation; however, these predictors fail to capture the conformation variability present in modern beef carcasses. In contrast, 3-dimensional (3D) imaging offers a robust, noninvasive technique capable of quantifying detailed spatial information that could enhance predictive yield models. 3D imaging leverages advanced image processing to provide objective, consistent, and quantitative assessments of carcass dimensionality. Unlike conventional methods that rely primarily on numerical tables or matrices, machine learning models such as MeshGNN can represent each carcass scan as a graph structure composed of interconnected nodes (vertices) and edges (connections between vertices). This study assesses the application of cross-sectional and linear measurements derived from 3D images and 3D imaging techniques in predicting the saleable yield (SY) of beef carcasses.
Materials and Methods: A combination of steers, heifers, and bulls were harvested at the Texas Tech University Meat Laboratory (N = 40) following standard industry practices. After harvest, carcasses were chilled for 6 d. During chilling (at least 24 h postmortem), carcasses were 3D imaged as intact sides using the Polycam® software powered by an Apple® iPad Pro 6th generation (Polycam®). Carcasses were then separated between the 12th and 13th ribs, and 3 trained grader personnel from Texas Tech University collected ribeye area (in2) and preliminary yield grade using a grid and probe. The grade data were averaged across the 3 graders. Carcasses were fabricated into boneless subprimals and wholesale cuts by trained facility personnel from Texas Tech University. Each wholesale cut was further divided into 4 components: subprimals, lean trimmings (trim), fat trimmings (fat), and bone. The final fat specifications of subprimal cuts varied according to the specific subprimal, ranging from 0 cm to 0.64 cm. All components were weighed and verified using a weigh-back system. OBJ files created by Polycam® were imported into 3D processing software, where filters were applied to clean and repair sections of the mesh clouds. For each cross-section, the area, perimeter, and α complex shape were calculated. Additionally, linear measurements were obtained by manually identifying landmarks on the carcass and calculating the distances between them. Neural networks and XGBoost regression models were developed in Python 3.11 to predict carcass yield based on linear measurements derived from the 3D images. Additionally, a graph-based neural network (GNN) model was developed using 3D mesh data. The dataset consisted of OBJ mesh files and the corresponding SY labels. Vertices were normalized by setting a common origin coordinate. Global descriptors such as mesh volume, surface area, bounding box dimensions, and variance from centroid distances were computed. Meshes were encapsulated into Torch Geometric data objects, including node and global features. All models were trained using a dataset split into a combined training/testing set (70%) and a validation set (30%), with stratification based on calculated yield quantiles to maintain proportional representation of different yield levels across the splits.
Results: Despite the small dataset (N = 40), the variation in carcass traits is considerable, as each yield grade category is represented. Using USDA yield grade predictors in combination with a neural network, an R2 of −0.61 was obtained, indicating poor model performance. Additionally, the learning curves for the training and validation datasets did not demonstrate convergence. This lack of convergence is primarily attributed to the insufficient number of observations available for model training. Using linear measurements derived from the 3D images, similar results (R2 = −0.109) and a lack of convergence were observed, further indicating inadequate training. Again, this limitation is likely due to the restricted sample size rather than the absence of a predictive relationship between these geometric variables and SY. To address this, identical models were built using XGBoost instead of neural networks for both USDA yield grade predictors and linear measurements derived from 3D images. When using USDA yield grade predictors, the model demonstrated a negative R2, indicating poor predictive performance. However, when using an XGBoost model incorporating cross-sectional and linear measurements, a positive R2 was achieved, explaining approximately 7% of the variation in SY. Despite its modest predictive performance, this approach still outperformed the model trained exclusively with current yield grade predictors, suggesting that incorporating additional geometric measurements may enhance predictive capability. Additionally, the low explanatory power (7%) does not fully represent the predictive potential of these variables, as model performance in this study is constrained by the limited sample size. Due to the small number of available observations, the present study adopted a novel approach. 3D images of beef carcasses can be represented as “mesh clouds,” containing detailed vertex information described by coordinates (X, Y, Z). To analyze complex 3D data, a specialized machine learning model, MeshGNN, was developed based on GNN. This model effectively captured both detailed local geometric characteristics and broader structural information for prediction purposes. The final predictive feature set combined 64 node-derived features with 6 global geometric descriptors, creating a comprehensive 70-dimensional representation. Visualization of the training process through loss curves, combined with an achieved R2 of 0.60, demonstrated a consistent reduction in prediction error across epochs, indicating effective model convergence and successful learning despite the limited number of training samples. Additionally, the mean squared error and mean absolute error suggest that, on average, predictions deviate by approximately 1.5%.
Conclusion: The convergence observed in the learning curves further supports the notion that the features generated by the GNN, combined with global carcass features, hold significant predictive potential for estimating SY in beef carcasses. It is important to acknowledge that the obtained R2 value of 0.60 may not represent the maximum predictive capability achievable through 3D imaging, as the observed performance could be constrained by the limited sample size. Nevertheless, considering that this performance is comparable to a model previously trained on more than 700 observations using USDA yield predictors and cattle type, these results strongly support the potential of 3D imaging as a valuable predictive tool for SY estimation in beef carcasses.
Funding Source: The project was funded by the National Cattlemen’s Beef Association.
Keywords: beef, yield, 3D imaging, machine learning.
62 Prediction of Sensory Tenderness and Sensory Juiciness for Pork Loins Using Instrumental Pork Quality Measurements
Rebecca A. Brown*, Yifei Wang, Milena Conte, and Benjamin M. Bohrer, Department of Animal Sciences, The Ohio State University, Columbus, OH 43210, USA *brown.8357@osu.edu
Introduction/Objectives: One of the major challenges in the pork industry is inconsistency in eating experience as well as defining leading contributors to a positive eating experience. Eating experience is primarily influenced by sensory traits such as tenderness, juiciness, and flavor, all of which play critical roles and significantly shape consumer’s perception of pork. While flavor can be difficult to predict by instrumental means, research groups routinely use instrumental pork quality measurements such as shear force, instrumental color, and pH to gain insight into perceptions of sensory tenderness and sensory juiciness. The objective of this study was to determine prediction abilities of instrumental pork quality measurements for sensory tenderness and sensory juiciness.
Materials and Methods: Pork loins (longissimus thoracis; 2.54-cm thick chops; n = 139) were aged for a period of 7 d postmortem. Ultimate pH (referred to as pH) was measured using a calibrated pH meter (Meat Probes Inc.), and instrumental color was measured with a Minolta CM-700d colorimeter (D65 light source, 10° observer, 11-mm aperture; Konica Minolta Sensing Americas Inc.). Intramuscular fat (IMF) content was determined using a drying oven and Soxhlet ether extraction methods. Shear force chops were cooked with the sous-vide cooking technique in a laboratory water bath (set to 80°C) until an internal endpoint cooking temperature of 71°C was reached. Cores were removed from each cooked chop parallel to the longitudinal orientation of the muscle fibers and sheared with a Warner-Bratzler shearing device equipped to a TA.XT Plus 100 Connect texture analyzer (Texture Technologies). Sensory samples were cooked to an internal temperature of 71°C using the sous-vide cooking technique, which consisted of a 40-min cooking time in an 80°C water bath. Descriptive sensory attributes, including tenderness and juiciness, were evaluated using a 15-cm line scale with anchors at 0, 7.5, and 15. Pearson correlation coefficients were calculated among all parameters using the CORR procedure of SAS (SAS Institute Inc.). Two stepwise regression models (sensory tenderness or sensory juiciness serving as the dependent variables and pH, Minolta L*, Minolta a*, Minolta b*, IMF, and Warner-Bratzler shear force [WBSF] serving as the independent variables) were generated with the REG procedure of SAS. Significance level thresholds for a variable to be added to the model were set to P ≤ .15. Simple linear regression models generated with the REG procedure of SAS were used to generate predicted levels of tenderness using WBSF and juiciness using pH. Sensory tenderness and juiciness levels were further categorized into discrete variables ranging from 3 to 10 and 2 to 9, respectively, to establish thresholds for tenderness and juiciness. Thresholds for tenderness and juiciness categories were analyzed accordingly using the GLIMMIX procedure of SAS for the response variables WBSF and predicted tenderness for tenderness thresholds and for the response variables pH and predicted juiciness for juiciness thresholds.
Results: The samples used for this analysis provided an industry-representative population with an appropriate level of variation (pH: mean = 5.64, SD = 0.20, range = 5.27–6.39; Minolta L*: mean = 54.8, SD = 4.8, range = 45.1–67.4; IMF: mean = 3.23%, SD = 2.04%, range = 0.45–10.61%; WBSF: mean = 2.79 kg, SD = 0.58 kg, range = 1.29–4.42 kg; sensory tenderness: mean = 7.00, SD = 1.71, range = 3.65–12.08; sensory juiciness: mean = 5.21, SD = 1.78, range = 2.28–9.85). The first regression model (sensory tenderness = −9.13819 – 1.33314 [WBSF] + 3.28135 [pH] + 0.11807 [IMF] – 0.13928 [Minolta a*] + 0.15047 Minolta b*]) explained 42.9% of the variation in sensory tenderness, with WBSF contributing the greatest amount of variation at 27.7%, followed by IMF at 7.7%, pH at 6.2%, Minolta a* at 1.2%, and Minolta b* value at 1.1%. Minolta L* failed to enter the model at a selection of a P value of .15. The second regression model (sensory juiciness = –17.57814 – 4.41578 [pH] + 0.29806 [IMF] – 0.05592 [Minolta L*]) explained 34.5% of the variation in sensory juiciness with pH contributing the greatest amount of variation at 25.0%, followed by IMF at 8.2%, and Minolta L* at 1.2%. Tenderness thresholds were described as tough at a score of 3 (mean WBSF = 4.12 kg, mean predicted tenderness = 4.92), slightly tough at a score of 4 to 6 (mean WBSF = 3.07–3.23 kg, mean predicted tenderness = 6.31–6.57), moderately tender at a score of 7 to 9 (mean WBSF = 2.45–2.76 kg, mean predicted tenderness = 7.05–7.53), and tender at a score of 10 (mean WBSF = 2.17 kg, mean predicted tenderness = 7.97). Juiciness thresholds were described as dry at a score of 2 and 3 (mean pH = 5.53, mean predicted juiciness = 4.80–4.84), dry to moderately juiciness at a score of 4 to 6 (mean pH = 5.59–5.61; mean predicted juiciness = 5.00–5.11), moderately juicy at a score of 7 (mean pH = 5.70; mean predicted juiciness = 5.52), and juicy at a score of 8 and 9 (mean pH = 5.93–5.99; mean predicted juiciness = 6.57–6.80).
Conclusion: These results indicated that WBSF and pH served as moderate predictors for sensory tenderness and sensory juiciness, respectively. IMF and instrumental color (measured with a Minolta colorimeter in this study) were weak predictors for both sensory tenderness and sensory juiciness. At an endpoint cooking temperature of 71°C, pork loin chops were generally perceived as slightly tough and dry by the trained sensory panelists in this study. A WBSF threshold of 2.53 kg or less and a pH of 5.70 or greater may provide some assurance that pork loins would be at least moderately tender and moderately juicy; however, greater research efforts are likely required before widescale adoption of these pork quality measurements because they were only moderate predictors of sensory attributes.
Funding Source: This study received in kind support by Kalmbach Nutritional Services.
Keywords: pork quality, eating experience.
Meat and Poultry Quality
63 Evaluating Changes in Organoleptic Traits and Objective Color of Ground Beef During a Retail Display Period
Samuel F. Stickley*, Lauren M. Frink, Stephanie L. Witberler, Mason J. Prester, Chesney A. Effling, Greta E. Huber, Erin S. Beyer, Michael D. Chao, Morgan D. Zumbaugh, Jessie L. Vipham, and Travis G. O’Quinn, Kansas State University, Manhattan, KS 66506, USA *sstick@ksu.edu
Introduction/Objectives: Ground beef is an affordable and versatile staple for consumers, therefore driving substantial market demand. However, the beef industry loses nearly $1.48 billion annually due to the discoloration of ground beef. Despite the discoloration that deters consumers from purchasing, a large portion of the meat removed from shelves prior to reaching its full shelf-life potential remains safe for consumption. However, the palatability of ground beef that is past the conclusion of its visual shelf life has never been evaluated. Therefore, the objective of this study was to evaluate trained sensory panel organoleptic traits and objective color measurements throughout and past the shelf life of ground beef.
Materials and Methods: In this study, 454 g ground beef (80% lean) packages were sourced from a commercial case-ready ground beef facility. Product was stored at 2°C to 4°C in gas-flushed motherbags in the absence of light, with each motherbag containing 4 individual packages. Paired packages (N = 128) from each motherbag were randomly assigned a display day (0, 2, 4, 6, 8, 10, 12, and 14 d) and placed in coffin-style retail cases at 2°C to 4°C. On each display day, L*, a*, and b*, as well as spectral data were collected using a HunterLab MiniScan Spectrophotometer. These readings were used to calculate the percentage of oxymyoglobin, and metmyoglobin according to the American Meat Science Association color guidelines (AMSA, 2012). Trained sensory panelists evaluated visual appearance, touch, odor, and palatability characteristics: juiciness, tenderness, texture, beef flavor intensity, and off flavor. Panelists were trained according to the AMSA meat color measurement guidelines (AMSA, 2012) and used a 100-point line scale for all characteristics. Redness and discoloration were evaluated with anchors at 0 (extremely dark red and 0% discoloration) and 100 (bright, cherry red and 100% discoloration). Touch, odor, and palatability panelists were trained using samples with various characteristics anchored to their respective scales (0 = characteristic beef texture, no off odor present, extremely dry, tough, soft, bland beef flavor, and no off flavor; 100 = noncharacteristic beef texture, extreme off odor, extremely juicy, tender, firm, intense beef flavor, and extreme off flavor). Samples for palatability evaluation were cooked on clamshell style grills set to 177°C to an internal temperature of 82°C. Trained panelists evaluated touch, odor, and palatability characteristics under red lights to avoid any bias toward sample color. Panelists recorded their responses using electronic tablets, using a digital survey. Data were analyzed as a completely randomized design utilizing SAS PROC GLIMMIX, with day set as a fixed effect and α at 0.05.
Results: Objective color measurements showed L* values decreased (P < .05) across the display period. Day 0 had the highest (P < .05) L* value and day 14 the lowest (P < .05). Similarly, a* values peaked on day 0, declined until day 10, then increased by day 14 (P < .05). The b* values were the highest (P < .05) on day 0, then decreased through day 10, with days 8 and 10 being similar (P > .05). Metmyoglobin percentage increased through day 10, which had the highest (P < .05) percentage of metmyoglobin. Following day 10, the percentage of metmyoglobin decreased, ending with day 14, remaining higher (P < .05) than days 0 through 6. Trained panel evaluations indicated redness values were highest on day 0 (P < .05), declining through day 8 (P < .05). Samples from days 8, 10, and 12 remained similar (P > .05) in redness values, then increased on day 14 (P < .05). Discoloration increased over time, with day 0 and 2 samples showing the lowest values (P < .05). The greatest discoloration percentage occurred on days 8 and 10 (P < .05), followed by a decrease (P < .05) from days 10 to 14. Trained odor evaluation showed an initial decrease (P < .05) from day 0 to day 2. Off odors increased consistently throughout display, culminating in day 14 having a higher (P < .05) off odor score, similar (P > .05) only to day 0. Touch scores evaluated by trained sensory panelists showed a decrease (P < .05) from day 0 to day 4, then remained similar (P > .05) through day 10. After day 10, touch scores increased (P < .05) each day of display, with day 14 having the highest (P < .05) noncharacteristic beef touch. Surprisingly, trained panelists found no differences (P > .05) in beef flavor intensity and off flavor during display. Contrastingly, juiciness scores decreased (P < .05) until day 12, when a rise in juiciness was observed. Additionally, tenderness scores were the highest (P < .05) on the initial days of display, days 0 and 2, and then decreased, with days 8, 10, and 12 having the lowest (P < .05) tenderness values. Lastly, texture scores followed an inverse trend to juiciness and tenderness, increasing (P < .05) throughout display, with days 6, 8, 10, and 12 being the firmest (P < .05).
Conclusion: The quality of ground beef deteriorated steadily throughout the 14-d display period, with significant reductions in redness, juiciness, tenderness, and texture, alongside increased discoloration and off odors. Objective color measurements supported these trends, as L*, a*, and b* values decreased consistently, while the percentage of metmyoglobin increased. Interestingly, samples with the lowest redness, a* values, and highest percentage of discoloration and percentage of metmyoglobin, showed no differences in beef flavor intensity or off flavors compared to all other days of display. This indicates palatability may not be a good indicator of shelf life. This study provides valuable insight into the timeline of quality degradation throughout a display period, contributing to a better understanding of ground beef shelf life.
Funding Source: Kansas State University.
Keywords: color, ground beef, organoleptic, shelf life.
64 Color Stability and Flavor Profile of 6 Beef Muscles
M. Sebastian Hernandez* and Jerrad F. Legako
Texas Tech University, Lubbock, TX 79409, USA *Sebastian.Hernandez@ttu.edu
Introduction/Objectives: Beef quality attributes such as color stability and flavor profile are modulated by intrinsic biochemical features. Muscle fiber type is very influential, as specific muscle fiber types possess divergent metabolism and physiochemical attributes. Oxidative, or red, muscles have been reported to be more color labile compared to glycolytic, white muscles. From a flavor perspective, divergent metabolisms may provide different pools of flavor precursors. Therefore, the objectives of this study were to evaluate the color stability and palatability of 6 beef muscles known to vary in muscle fiber type and fat content.
Materials and Methods: Fifteen beef carcasses with a marbling score of moderate (600–699) and no quality defects were selected from a commercial processing facility in west Texas. Beef striploins (IMPS #180), tenderloins (IMPS #189), goosenecks (IMPS #170), chuck rolls (IMPS #116), and top blade roasts (IMPS #114D) were collected from 1 side of each carcass 48 h postmortem. Subprimals were transported at (0–4°C) to the Gordon W. Davis Meat Laboratory in Lubbock, Texas. Upon return to the meat laboratory, subprimals were immediately fabricated into M. Longissimus lumborum (LL), M. Psoas major (PM), M. Semitendinosus (ST), M. Biceps femoris (BF), M. Infraspinatus (IF), and M. Serratus ventralis (SV) steaks. Four steaks from each subprimal were assigned to either simulated retail display or descriptive sensory analysis. Steaks were vacuum sealed and wet aged for 14 d. Following aging, steaks were either frozen (−20°C) for sensory evaluation or packaged in polyvinyl chloride overwrap packaging and subjected to a 168-h simulated retail display. Moreover, oxygen consumption and metmyoglobin reducing activity were conducted. Every 12 h, instrumental color was measured (L*, a*, b*, hue, chroma, surface myoglobin), and trained panelists measured visual color and percent discoloration. For descriptive sensory analysis, panelists were trained for 30 h to evaluate 11 flavor aromatics, 5 basic tastes, and 3 texture attributes on a 16-point scale. Within each sensory session, 6 samples were evaluated. Steaks were cooked on a flat-top grill set to 162.7°C to an internal temperature of 71°C. Instrumental and visual color data were analyzed as randomized block design with repeated measures, where carcass served as the block and muscle, hour, and their interaction served as fixed effects. Oxygen consumption, metmyoglobin reducing activity, and sensory data were analyzed as a randomized block design, where carcass served as the block and muscle served as the fixed effect. For sensory data, sensory session and feed order served as random effects. Significance was determined at a P value of less than .05.
Results: A muscle by hour interaction was observed for L*, a*, b*, percentage of metmyoglobin, percentage of oxymyoglobin, visual color, and percentage discoloration (P < .05). Regardless of the display time, the ST had the greatest L* value compared to all other muscles (P < .05). After 24 h, the LL maintained the greatest a* value and visual color score compared to all other muscles (P < .05). From 60 h to 108 h, the IF developed the most surface metmyoglobin compared to all other muscles (P < .05). Conversely, from 72 h to 156 h, except for 96 h, the LL had the least development of surface metmyoglobin (P < .05). Of the 19 sensory attributes, 18 were different among muscles (P ≤ .03). The PM was the most tender muscle compared to all other muscles, followed by the IF (P < .05). Both the LL and SV were more tender than the BF and ST (P < .05). Conversely, the ST and BF had the greatest abundance of connective tissue followed by the SV, the LL, then the IF, with the PM having the least amount of connective tissue (P < .05). The IF and SV had the greatest juiciness compared to all other muscles (P < .05). The LL was juicier compared to the PM and ST (P < .05). The LL and SV had the greatest beef flavor identity intensity compared to all other muscles (P < .05). The BF, IF, and PM had greater beef flavor intensity compared to the ST (P < .05). The LL and PM had greater brown/roasted intensity compared to the BF and ST (P < .05). The SV had the greatest fat-like intensity compared to all other muscles followed by the IF (P < .05). The ST had the lowest fat-like intensity (P < .05). Bloody/serum intensity was greater in the BF compared to the PM and ST (P < .05). Metallic intensity was the greatest in the BF compared to IF, LL, PM, and SV (P < .05). The IF had the greatest liver-like aromatics, followed by the PM (P < .05). Moreover, the BF had greater liver-like intensity compared to the LL and ST (P < .05). The PM had the greatest cardboard-like intensity compared to the BF, IF, LL, and SV (P < .05). The ST and BF were the sourest compared to all other muscles (P < .05).
Conclusion: These data show that muscles within a beef carcass possess varying color stabilities and flavor profiles. The PM, IF, SV, and BF were the most color labile, whereas the LL and ST showed increased color stability. As expected, the PM was the most tender muscle; however, it showed itself to be less oxidatively stable. The SV had the greatest fat-like aromatics, and the IF had the most intense liver-like aromatics. Muscles from the round were the toughest muscles. These quality phenotypes are likely the function of varying muscle fiber types and associated biochemical attributes among selected muscles. Therefore, when aiming to improve beef color or palatability, quality interventions should be muscle specific.
Funding Source: This research was coordinated by the Beef CheckOff, a contractor of the National Cattlemen’s Beef Association.
Keywords: beef, flavor, color, retail, sensory.
65 The Effect of Peanut-Skin Supplemented Diet on Broiler Meat Quality
Afsana Rahaman Munmun1,2*, Jean Caceres Caceres1, Christina Sigmon1, Yabaiz Tahir1, Thien Vu1,3, Ondulla Toomer1,2,3, Lin Walker1, and Yan Campbell1, 1Department of Poultry Science, North Carolina State University, Raleigh, NC 27607, USA, 2Department of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, Raleigh, NC 27606, USA, 3Agricultural Research Service, US Department of Agriculture, Raleigh, NC 27607, USA *amunmun@ncsu.edu
Introduction/Objectives: In recent decades, substantial progress in animal genetics, nutrition, and production practices has enabled the animal agriculture industry to meet the rising demands of a growing global population and increased consumer preference for high-quality animal protein. This achievement has relied on the inclusion of premium feed ingredients such as wheat, soybeans, and corn. However, the rising demand from both the biofuel industry and human nutrition sectors, alongside crop shortages in various regions, has led to a significant increase in feed costs. Peanut (PN) skins are a plentiful and less expensive PN processing byproduct, yet they offer substantial nutritional value that can enhance animal diets. This study investigated the effects of incorporating 5% ground PN skin in the diet of broiler chickens on various meat quality parameters. The aim was to assess whether PN skin supplementation would impact broiler quality and be a potential alternative dietary supplement for broiler production.
Materials and Methods: A controlled experiment was conducted with 90 broilers (45/treatment, 3 replicate/treatment, 15/replicate). Broilers were fed a 3-phase corn/soy mash diet regimen. Diets were isocaloric and isonitrogenous with the starter providing 3000 kcal/kg and 22% crude protein, the grower providing 3100 kcal/kg and 21% protein, and the finisher providing 3200 kcal/kg and 19% protein. A PN skin-supplemented diet was prepared for half of the broilers by adding 5% ground PN skins to the basal diet at each phase. Five broilers were sampled from each pen (15 birds/treatment) for processing after 6 wk of age. All animal research procedures conducted in these feeding trials were approved by the Institutional Animal Care and Use Committee at North Carolina State University. Measurements were taken for body weight, hot- and chilled-carcass weight after first processing. Carcasses were chilled after 15 min postslaughter, deboned after 2 h of chilling, kept at refrigeration temperature after deboning for 24 h pH, color, and weights. Breasts were frozen for storage after 24 h. The pH measurements of the right breast muscle were taken at 15 min, 2 h, 24 h, and 2.5 mo postmortem using a meat pH meter (Hanna Instruments). Color was assessed on right breasts at 24 h after slaughter and again at 2.5 mo using a colorimeter. The right breast muscle samples were assessed after 2 h postslaughter for the incidence of white striping and woody breast myopathies using a 0 to 3 scoring scale (0 = none, 1 = mild, 2 = moderate, 3 = severe), and for spaghetti meat myopathy using a 0 to 2 scoring scale (0 = normal, 1 = moderate, 2 = severe). Composition analysis (near-infrared spectroscopy), texture analysis (blunt Meullenet-Owens razor shear and Warner-Bratzler shear force), cook loss, and thaw loss were assessed after 2.5 mo of the frozen right breast meat. Texture analysis had been performed on both raw and cooked broiler breasts. All data were analyzed by SAS 9.4 with 1-way analysis of variance and general linear model using Duncan’s new multiple range tests for mean separation with a P value less than .05.
Results: Results indicated that chicken from the PN skin diet exhibited lower body weights compared to the control (2.21 kg vs. 2.49 kg; P < .05). Similarly, hot and chilled carcass and breast weights for the PN skin treatment had lower weights compared to the control (P < .05).There was no difference in pH at 15 min and 24 h for control and PN treatments (P > .05), but pH at 2 h and 2.5 mo was lower in PN treatment compared to the control (P < .05). There was no difference in color and texture between the 2 treatments (P > .05). The fat, moisture, protein, collagen, and ash content of the meat did not vary between the 2 treatments as well. Significantly lower cook loss and thaw loss were observed in the PN skin-based diet compared to the control (cook loss: 21.73% vs. 25.58%, thaw loss: 12.72% vs. 18.74%; P < .05). There was no significant difference in the myopathy incidence between the 2 treatments (P > .05).
Conclusion: In conclusion, 5% PN skin lowered the live body weight, but it did not impact color (at 24 h and 2.5 mo), pH (no difference at 15 min and 24 h, but lowered at 2 h and 2.5 mo in PN treatment), texture (after 2.5 mo), composition (after 2.5 mo), or myopathy incidence of the meat (at 2 h), suggesting that PN skin can be used as a dietary supplement without negatively impacting overall broiler meat quality. Moreover, a significantly lower cook loss and thaw loss in 5% PN skin treatments indicate better water-holding capacity, likely influenced by subtle differences in muscle structure, fat composition, collagen characteristics, or protein stability, despite similar overall meat composition. While additional feeding trials are needed, these results suggest that PN skins may serve as a suitable poultry feed additive.
Funding Source: This research was supported by the US Department of Agriculture’s Agricultural Research Service (USDA-ARS) and the Campbell Protein Technology Laboratory at North Carolina State University. The author acknowledges the USDA-ARS and all the collaborators for live bird samples for this research.
Keywords: broilers, peanut-skin supplemented diet, meat quality.
66 Quality and Consumer Sensory Scores of Tumbled and Aged Beef Brisket Flat and Point Cuts
Emmet Long1, Derico Setyabrata2, and Jacob R. Tuell1,*, 1School of Agricultural Sciences, Northwest Missouri State University, Maryville, MO 64468, USA, 2Department of Animal Science, University of Arkansas, Fayetteville, AR 72704, USA *jtuell@nwmissouri.edu
Introduction/Objectives: Beef brisket is inherently tough due to high concentration of intramuscular connective tissues. Tumbling has been demonstrated to disrupt myofibrillar structure and proteolysis during aging of fresh beef; however, its use in conjunction with slow, moist heat cookery has not been fully considered. This study evaluated the application of tumbling and aging of beef brisket flat (M. pectoralis profundus) and point (M. pectoralis superficialis) sections on tenderness and eating quality.
Materials and Methods: Beef briskets (n = 8; US Department of Agriculture choice) were obtained from a commercial processor at 9 d postmortem and separated into flat and point cuts. Each muscle was halved and assigned to 120 min of tumbling at 8.5 rpm in a Promarks TM-150 vacuum tumbler (TRT) or control (CON) in a balanced design. At 10 d postmortem, TRT samples were tumbled, and all sections were aged an additional 14 d at 4°C prior to frozen storage at −20°C. Sections were thawed 40 h, then smoked in a commercial smokehouse to 91°C. Measures of quality included pH, water-holding ability, yield, and Warner-Bratzler shear force (WBSF). A consumer sensory panel (n = 104) was conducted to assess the liking of tenderness, juiciness, flavor, and overall acceptability of each trait, perceived quality, and willingness to pay. The effects of treatment, muscle, and interaction were analyzed using a linear mixed model in R, with endpoint temperature and cooking duration included as covariates where appropriate. Tukey-adjusted post-hoc comparisons were performed for pairwise differences. Pearson correlation coefficients were determined.
Results: At each time point, point cuts had a higher pH than the flat (P < .05). After aging, TRT had lower pH (5.59) than CON (5.63; P < .05), though the pH after thawing was equivalent (P > .05). Flat cuts had higher thawing loss than points (P < .05), and no differences in water holding were found between TRT and CON including yield (P > .05). Points had lower WBSF than flats (P < .05) with no significant treatment effect. Consumers found points to be superior to flats for tenderness, juiciness, flavor, and overall liking (P < .05) with no impact of tumbling treatment or the interaction (P > .05). Acceptability of points was higher than flats for tenderness (97.7% vs. 73.5%), juiciness (88.8% vs. 30.4%), and overall (90.3% vs. 63.6%; P < .05). Consequently, more points were rated as “premium” quality (9.1% vs. 1.0%; P < .05) with greater willingness to pay (P < .05). No significant effects of treatment or interaction were found for any sensory trait. Values for WBSF had a moderate negative correlation with tenderness liking (r = −0.636), juiciness liking (r = −0.496), and overall liking (r = −0.402; P < .05).
Conclusion: The tumbling and aging treatment was not effective at improving tenderness in either flat or point sections cooked with slow, moist heat cookery. Point sections were more tender and scored favorably for all sensory traits relative to flats. This study demonstrates the possibility of marketing brisket points separate from flats to consumers at a premium.
Funding Source: This work was funded by the Northwest Missouri State University Faculty Research Committee and Missouri Beef Industry Council.
Keywords: beef, brisket, sensory, tenderness, WBSF.
67 Effect of Dietary Fats and Stunning Methods on Chicken Meat Quality Attributes and Myopathy Indicators
Shijinaraj Manjankattil*, Jinquan Wang, Matthew Hughes, Abigail McConnell, Madalyn Jennings, Juan Carlos Figueroa Sorto, Samuel Rochell, and Dianna Bourassa, Department of Poultry Science, Auburn University, Auburn, AL 36849, USA *szr0141@auburn.edu
Introduction/Objectives: Quality attributes such as pH, color, texture, and water loss are key determinants of consumer acceptability and profitability in chicken meat. There is a complex interplay of intrinsic and extrinsic factors regulating muscle development, pigmentation, and physiologic transformations during the conversion of muscle to meat. Modifications in dietary composition during the grow-out phase, combined with appropriate processing methods, can lead to alterations in meat quality. This study evaluated the impact of changes in dietary fats and different stunning methods on the quality attributes and myopathy scores of chicken breast fillets.
Materials and Methods: This study was approved by the Institutional Animal Care and Use Committee at Auburn University (protocol # 2024 5409). A total of 1,128, day-old, Ross 708 male chicks were randomly assigned to 4 dietary treatment groups and 12 replicates each. All birds received a basal diet from days 0 to 3 and switched to 4 experimental diets with the fat source of soy oil (T1), poultry fat (T2), acidulated fat (T3), and palm oil (T4) for a 42-d period. On day 43, birds from each treatment group were processed using either electrical stunning (ES) or controlled atmospheric stunning (CAS) methods. After chilling, carcasses were deboned, and a total of 104 breast fillets were randomly selected from 8 treatment groups (4 dietary source by 2 stunning methods, n = 13) to measure color and pH at both 2 h and 24 h postmortem. L*, a*, and b* values were recorded from 3 different points of the dorsal side of a single breast fillet, and average values were calculated. Additionally, the samples were weighed at 2 h and 24 h postmortem, and drip loss was calculated in percentage. All samples were stored at 4°C until the 24-h measurement. At 24 h postmortem, breast fillet texture properties were analyzed using the blunt Meullenet-Owens razor shear method to measure shear force and energy from 5 different points on each breast sample. A total of 573 breast samples were evaluated for the incidence of woody breast, spaghetti meat, and white striping, with severity scores ranging from 0 to 3 for woody breast and white striping and 0 to 2 for spaghetti meat. Color, pH, drip loss, and shear force measurements were analyzed using the 2-way analysis of variance model in PROC GLM procedure of SAS, with mean separation performed using the honestly significant difference test. Myopathy scoring data were analyzed using the Kruskal-Wallis test in R by kruskal.test() function. χ2 test was used to determine the independence of each score of 0, 1, 2 and 3 for dietary fat source and stunning method. Statistical significance was considered at a P value less than or equal to .05.
Results: The pHs of breast fillets were 6.42, 6.39, 6.45, and 6.36 at 2 h and 5.71, 5.79, 5.78, and 5.90 at 24 h of postmortem for T1, T2, T3, and T4, respectively. At 2 h postmortem, breast fillets from the ES group had a pH of 6.47 and were significantly higher than the CAS group of 6.35 (P < .0001), whereas at 24 h, breast fillets from the CAS group had a significantly higher pH of 5.80 compared to the ES group at 5.74 (P = .007). At 2 h postmortem, breast fillets from T4 group had a significantly lower pH of 6.36 compared to T3 of 6.45. Breast fillets from T1 and T2 had a pH of 6.42 and 6.39, respectively, and showed no difference with other 2 groups. A significant interaction between fat treatments and stunning methods was observed at 2 h (P = .036), but no significant interaction was detected at 24 h (P = .1537). No significant differences in L* values of breast meat were observed between dietary treatments and stunning methods at both 2 h and 24 h postmortem. While a* values showed no significant difference at 2 h, higher values of 3.23 and 2.50 were recorded in T1 and T2 groups compared to 1.73 and 1.69 from T3 and T4, respectively, at 24 h. Additionally, the ES group resulted in significantly higher a* value of 2.78 than the CAS group of 1.79 (P < .001). After 24 h, the CAS group had significantly higher b* values with a mean of 9.42 compared to 8.70 observed in the ES group (P = .014). Shear energy values of 70.7, 74.3, 73.5, and 70.8 N/mm were detected for T1, T2, T3, and T4, respectively. The percentage of water loss from meat samples ranged from 2.2% to 2.7% across all treatment groups. No significant differences were attributed to dietary fats or stunning methods in shear energy and drip loss. Breast fillets from the CAS group showed a higher incidence of woody breast compared to the ES group (P < .001). Seventy-nine percent of samples from the ES group received a woody breast score of 0, which is significantly higher than to the breast fillet from the CAS group at 49% (P < .001). In contrast, a higher percentage of score 0 in the CAS group and score 1 in the ES group (P < .01) was observed for spaghetti meat. No significant differences in white striping were detected between stunning methods. However, T2 had a significantly higher percentage of samples classified within score 2 compared to other treatments (P < .016).
Conclusion: The enhanced reddish and yellowish coloration observed in ES-treated samples necessitates further investigation to elucidate potential alterations in muscle pigments and muscle physiology associated with ES. Additionally, dietary fat sources exhibit distinct effects on meat color characteristics, underscoring their role in quality modulation. The increased incidence of white striping in poultry fat-supplemented samples emphasizes the need for targeted dietary interventions to mitigate breast fillet myopathy and its associated economic consequences. Furthermore, strategic modifications in dietary fat composition and processing techniques can substantially influence meat quality, ultimately affecting profitability in the poultry industry.
Funding Source: This work was supported by the US Department of Agriculture (USDA) Agricultural Research Service in Athens, Georgia (project number: 6040-32000-012-006-S), the Alabama Agricultural Experiment Station, and the Hatch Program of the National Institute of Food and Agriculture, USDA.
Keywords: quality fat, myopathy, texture, color.
68 Influence of Endpoint Temperature on Internal Cooked Color and Myoglobin Thermal Stability of Ground Beef Patties
Loise Lima1,2, Ana Paula Salim1,*, Runnan Li1, Gregg Rentfrow1, Carlos A. Conte-Junior2, and Surendranath P. Suman1, 1Department of Animal and Food Sciences, University of Kentucky, Lexington, KY 40506, USA, 2Center for Food Analysis, Federal University of Rio de Janeiro, Rio de Janeiro, RJ 21941598, Brazil *apaulasalim@gmail.com
Introduction/Objectives: Myoglobin denaturation is dependent on its redox state and directly influences the internal color of cooked meat. Premature browning, wherein ground beef appears fully cooked before reaching 71°C, poses a food safety risk because consumers often rely on cooked color to assess doneness. The relationship among endpoint temperature, internal cooked color, and myoglobin thermal stability in ground beef is not clearly understood. This study investigated the effects of endpoint temperature on internal color and myoglobin thermal stability in cooked ground beef patties.
Materials and Methods: Eight (n = 8) coarse ground beef (80% lean) chubs were obtained locally. Each chub was hand-formed into 16 patties (120 g, 10-cm diameter, and 1.5-cm thick). The patties were stored in the dark at 2°C for either 0 d, 2 d, 4 d, or 7 d. After storage and raw color measurement, the patties were cooked to an internal endpoint temperature of 54°C (C54), 63°C (C63), or 72°C (C72). Cooked patties were removed from the grill, cooled, and sliced horizontally prior to internal cooked color measurements. The thermal stability of myoglobin from cooked patties was assessed by differential scanning calorimetry. The denaturation temperature (Tm) and enthalpy (ΔH) were determined. The data were analyzed using XLSTAT software. A 2-way analysis of variance was performed to determine the effects of endpoint cooking temperatures and days of storage on internal cooked color and myoglobin denaturation. Tukey’s test was used to compare treatment means at 5% significance level (P < .05).
Results: The C63 and C72 patties exhibited greater (P < .05) L* values (lightness) than C54 on days 0, 2, 4, and 7 of storage. However, for all the treatments, L* values remained unchanged (P > .05) during 7 d of storage. Increasing endpoint temperature resulted in a progressive decline (P < .05) in a* values (redness) on day 0. However, no differences (P > .05) in a* values were observed between C63 and C72 on day 2 and between C54 and C63 on days 4 and 7. Overall, a* values were not influenced (P > .05) by storage time, regardless of endpoint temperature. Color stability (R630/580) decreased with increasing endpoint temperature (P < .05), except on day 2 where C54 and C63 exhibited similar (P > .05) results. In general, R630/580 remained stable (P > .05) throughout the storage. Internal endpoint temperature influenced the thermal denaturation of myoglobin, as indicated by the temperature maximum (Tm) of the endothermic peaks (P < .05). On day 0, Tm values increased with an increase in endpoint temperature, reflecting a possible thermal unfolding of myoglobin. Storage did not affect Tm (P > .05). Additionally, the ΔH of denaturation did not vary (P > .05) with endpoint temperature or storage.
Conclusion: The results demonstrate that the internal endpoint temperature influenced the color and the thermal stability of myoglobin in cooked ground beef patties. While increased endpoint temperatures decreased internal redness, it increased myoglobin thermal stability. Additional work is necessary to characterize the mechanisms affecting the thermal stability of myoglobin in cooked meat.
Funding Source: This work was supported by the National Institute of Food and Agriculture, US Department of Agriculture, Hatch-Multistate Project 7003954.
Keywords: cooked color, myoglobin denaturation.
69 Effect of Dietary Low-Fat Tenebrio molitor Larvae Meal on Quality Traits of Broiler Breast (Pectoralis Major) Meat
Nikolay Kolev1*, Desislava Vlahova-Vangelova1, Desislav Balev1, Stefan Dragoev1, Teodora Popova2, Evgeni Petkov2, Ana Paula Salim3, and Surendranath P. Suman3, 1Department of Meat and Fish Technology, University of Food Technologies, Plovdiv, Bulgaria, 2Agricultural Academy, Institute of Animal Science, Kostinbrod, Bulgaria, 3Department of Animal and Food Sciences, University of Kentucky, Lexington, KY 40506, USA *n_kolev@uft-plovdiv.bg
Introduction/Objectives: Tenebrio molitor larvae is a high-quality protein source used as a feed ingredient in poultry diets because of its positive effects on growth performance. It offers a superior amino acid profile and serves as a sustainable and non-GMO alternative to soybean meal. At their early developmental stages, the larvae contain higher protein and lower fat levels than those at later stages, making it a suitable ingredient in poultry feed. However, the impact of Tenebrio molitor larvae on broiler meat quality remains unclear. Therefore, we evaluated the effects of low-fat Tenebrio molitor meal (LFTLM) as a replacement for soybean meal on the pH, instrumental color, and texture of broiler breast.
Materials and Methods: The experiment was conducted in accordance with Directive 2010/63/EU, under permit no. 277 issued by the Bulgarian Food Safety Agency. A total of 120 one-day-old male Ross 308 broiler chickens were randomly assigned to 5 dietary treatment groups based on the designated experimental diets. Each treatment group was housed in 4 cages (6 birds per cage), resulting in 4 experimental replicates and a total of 24 birds per dietary treatment. The experimental diets included: a control diet consisting of conventional feed without LFTLM (control) and diets containing 2.5% (T2.5), 5.0% (T5.0), 7.5% (T7.5), and 10.0% (T10.0) LFTLM as a partial replacement for soybean meal control feed. The feeding duration was divided into 2 phases: (1) starter phase (days 1–14) and (2) grower phase (days 15–35), during which the birds were fed experimental diets. At the end of the grower phase, birds were slaughtered humanely. Twenty-four hours postmortem, pH, instrumental lightness (L*), redness (a*), yellowness (b*), and texture profile were assessed on the breast (pectoralis major) muscles of each carcass. Statistical analysis was performed using the PROC GLIMMIX procedure in SAS. Least-squares means were compared using the PDIFF option with a Tukey-Kramer adjustment, and differences were considered statistically significant at P < 0.05.
Results: The pH of broiler breasts from the control exhibited greater (P < 0.05) values than their counterparts, whereas T10.0 exhibited the lowest (P < 0.05) pH values. T2.5 breasts exhibited a decrease (P < 0.05) in L* compared with the control, although similar (P > 0.05) L* were observed among other LFTLM treatments. There was an increase (P < 0.05) in a* in the breasts of broilers fed LFTLM compared with the control. The inclusion of LFTLM in broilers’ diets did not (P > 0.05) affect the b* values of breasts. The inclusion of 2.5% of LFTLM (T2.5) increased (P < 0.05) breast cohesiveness and chewiness compared with the control. No differences (P > 0.05) in cohesiveness and chewiness were observed among T5.0, T7.5, and T10.0 treatments.
Conclusion: These findings suggest that the inclusion of LFTLM in broiler diets increased redness without compromising the lightness and texture of broiler breasts. LFTLM can be utilized as a sustainable alternative to soybean meal in poultry feed, with minimal adverse effects on meat quality.
Funding Source: This research was funded by the Bulgarian National Science Fund of the Ministry of Education and Science in Bulgaria (grant number KP-06-N76/7, December 5, 2023).
Keywords: broiler, meat quality, insect-based feed.
Meat and Poultry Quality and Composition - Measurement and Prediction
70 Evaluating Impact of Computed Tomography Slice Thickness on Tissue Segmentation Capabilities
Reese A. Wilson*, Andres Mendizabal, Harshit Parmar, Chris Monico, Blake A. Foraker, Markus F. Miller, and Dale R. Woerner, Texas Tech University, Lubbock, TX 79409, USA *reese.wilson@ttu.edu
Introduction/Objectives: Computed tomography (CT) is a valuable technique for evaluating beef composition, as it provides a nondestructive means of assessing the volumetric distribution of different tissues. CT scanning allows for the measurement of various tissues, including fat, muscle, connective tissue, and bone, without the need for physical dissection. CT scanning functions by capturing detailed cross-sectional images of the carcass. These images are analyzed through segmentation processes to isolate different tissue types, and the resulting volumes are subsequently converted into weight measurements using established density values for each tissue. The objective of this study was to evaluate the effect of slice thickness on overall mask volume creation and the percentage of the mask utilized for tissue segmentation.
Materials and Methods: Ten beef rounds (N = 10) were collected from a commercial packing plant. These rounds were specifically selected to represent varying levels of muscling and fatness. Approximately 24 h after collection, the rounds were scanned using CT at the Texas Tech University School of Veterinary Medicine. Repeated scans were performed under the “abdomen pelvis” protocol with a slice thickness of 1 mm, and images were recorded in a 32-bit format. Additional DICOM files were generated to simulate thicker slices of 2 mm, 4 mm, and 8 mm, which were then converted to NIFTI files. Morphological operations were used to create a mask separating the background from the region of interest: the round. Each segmented region, including marrow, trabecular bone, and cortical bone, was saved individually as a separate NIFTI file, with detailed metadata outlining the segmentation steps. Twenty-four hours after CT imaging, the beef rounds were commercially fabricated. The weights of bones, after the removal of any remaining lean tissue, fat, or connective tissue, were recorded to the nearest 0.022 lb. Femur and tibia bones were split in half, and yellow marrow was separated, bagged, and weighed to the nearest 0.0022 lb. Bone tissue weight estimation was conducted using 4 approaches. The “1-way marrow excluded” method considered only voxels above the bone threshold, multiplying their volume by 2.2 kg/L. The “1-way segmentation” approach included the entire mask volume, also using 2.2 kg/L. The “2-way” method differentiated between cortical and trabecular bone, multiplying their respective volumes by 2.2 kg/L and 1 kg/L before summing the weights. The “3-way differentiation” approach separately calculated marrow (0.4 kg/L), cortical bone (2.2 kg/L), and trabecular bone (1 kg/L), summing all 3 to estimate total bone weight. Linear regression analyses were performed with slice thickness as a fixed effect. The estimated bone weights obtained using different methods were compared with actual bone dissection weights. Mean absolute error and root mean square error were calculated for each method and slice thickness to assess measurement accuracy and the impact of slice thickness on error.
Results: Based upon the linear regression results, for every 1-mm increase in slice thickness, the total mask volume increases by an average of 0.03 L. This increase occurs because as voxel size increases in length, the voxel value is averaged across a longer section of the scan. This averaging introduces more error, particularly near the periphery of the object where voxel values are closer to −1000 Hounsfield units (HU), the typical CT value for air, which represents empty space. Although this increase in mask volume is relatively small, the effect on the percentage of the mask that is accurately segmented is more pronounced. For every 1-mm increase in slice thickness, the percentage of the segmented mask decreases by approximately 0.3%. Because voxel values decrease as more air is included in the voxel, it is essential to establish this lower threshold to ensure that segmented fat voxels are primarily fat and not air. A similar effect may occur with muscle tissue. For example, in imaging a muscle without fat, it may still appear to have a thin layer of fat on its surface because of how voxel values are calculated. When a voxel near the muscle boundary contains more air than lean tissue, its value will resemble that of fat. Without a proper lower threshold for fat, these low-value voxels would be incorrectly identified as fat, artificially increasing the measured fat volume. Accurate weight estimation using CT-derived volumes with fixed densities is challenging. The “1-way segmentation” method, wherein the entire mask volume is multiplied by 2.2 kg/L, resulted in the largest error, overestimating bone weight by an average of 12 to 13 lb. The “1-way marrow excluded” method, which excludes marrow from the mask volume, produced lower errors but still overestimated bone weight by 10 to 12 lb. The third approach, which excludes marrow but further segments the bone into trabecular and cortical components, demonstrated an average error of approximately 2.4 to 2.9 lb. Surprisingly, this error was smaller than the approach that included marrow, which had an average error of 2.5 to 3 lb. A trend emerged: Methods that did not differentiate bone types had higher errors and consistently overestimated bone weight. The slightly higher error observed when marrow was included is likely because adding marrow contributed additional weight to the estimation, amplifying the effect of overestimation.
Conclusion: The effect of slice thickness on overall mask volume creation and the percentage of the mask utilized for tissue segmentation varied by method. When bone was not differentiated into trabecular and cortical regions, thicker slice thicknesses resulted in less error. This occurred because, as slice thickness increased, the total bone mask volume decreased, reducing the extent of overestimation. Conversely, when bone was segmented into trabecular and cortical regions, thinner slice thicknesses produced smaller errors because of improved precision. Additionally, thicker slices tended to have higher average voxel values, influenced by the high HU values of cortical bone, which increased the proportion of cortical bone in the estimate and further amplified overestimation.
Funding Source: The project was funded by the National Cattlemen’s Beef Association (NCBA).
Keywords: beef, machine learning, CT, yield.
Meat and Poultry Quality
71 Effects of Cortisol Levels in Angus-Cross Steers on Carcass Characteristics, Lean Color, and Steak Palatability
Megan V. Sorenson1*, Luclia C. Gracia1, Muyem E. Fatola1, Ben J. Renquist1, Duane M. Wulf1, Reinaldo F. Cooke2, and Tanner J. Machado3, 1Animal and Comparative Biomedical Science, University of Arizona, Tucson, AZ 85721, USA 2Department of Animal Science, Texas A&M University, College Station, TX 77843, USA 3Department of Animal Science and Veterinary Technology, Texas A&M University-Kingsville, Kingsville, TX 78363, USA *meganvsorenson@arizona.edu
Introduction/Objectives: The objective of this study is to determine the relationship of cortisol levels with carcass characteristics, lean color, and steak palatability.
Materials and Methods: Angus-cross steers (n = 104) were purchased in Tennessee and transported to McGregor, Texas, for growing and finishing. Hair samples were collected on days 0, 14, 28, 42, and 60; blood samples were collected on days 178 (prior to 5-h transportation to packing plant) and 179 (at exsanguination); and cortisol levels were determined on all samples. Following harvest, hot carcass weight was collected, and carcasses were chilled for 36 h. Following chilling, carcass data were collected (adjusted fat thickness, ribeye area, marbling score, skeletal maturity, lean maturity, and L*a*b* colorimeter readings). Longissimus lumborum samples (n = 208; 2 from each carcass, right and left) were excised for further analysis. Longissimus lumborum samples were assays forglycogen, glucose, glucose-6-phosphate, and lactate to calculate glycolytic potential. On day 7 postmortem, ultimate pH was determined, and 2.5-cm-thick steaks (2 per carcass) were frozen. Steaks were thawed for 24 h and then cooked to 69°C for slice shear force (SSF), Warner-Bratzler shear force (WBSF), and trained sensory panel analysis. Sensory panelists evaluated juiciness, tenderness, and beef flavor intensity and were trained according to the American Meat Science Association standards. Correlation coefficients were calculated among cortisol levels at various sampling times and with carcass and meat quality variables.
Results: Correlations (r = +0.43 to +0.48) existed among hair cortisol levels at days 0, 14, and 28 (P < 0.05). Hair cortisol on day 42 was correlated (r = +0.33) with hair cortisol on day 60 (P < 0.05). Blood cortisol prior to transportation (day 178) was correlated (r = +0.52) with blood cortisol at exsanguination (day 179, P < 0.05). Cortisol levels were not correlated with glycolytic factors or ultimate pH (P > 0.05). Blood cortisol levels at harvest (average of days 178 and 179) were positively correlated with SSF (r = +0.27) and WBSF (r = +0.23) values (P < 0.05) but were not correlated with sensory panel ratings (P > 0.05).
Conclusion: Cattle with high cortisol levels in the early stages of the feeding period did not maintain those elevated levels throughout the remainder of the feeding period. Cortisol levels were not related to muscle glycogen levels or postmortem glucose metabolism. Higher cortisol levels at harvest were associated with tougher meat (higher SSF and WBSF values).
Funding Source: University of Arizona.
Keywords: cortisol, beef, quality, color, palatability.
72 Extended Beef Wet-Aging Influences on Biceps Femoris, Gluteus Medius and Semimembranosus Palatability and Objective Raw Color Measurements
Amelia J. Main1*, M. Sebastian Hernandez1, Jerrad F. Legako1, Rhonda K. Miller2, and Dale R. Woerner2, 1Texas Tech University, Lubbock, TX 79409, USA, 2Texas A&M University, College Station, TX 77840, USA *awyle@ttu.edu
Introduction/Objectives: Postmortem wet aging is a common industry practice to enhance beef tenderness and palatability through proteolytic enzyme activity. Although this process is well documented for improving tenderness, especially in middle meats like the longissimus lumborum, its impact on flavor, particularly off-flavor development, during extended aging is less understood. As flavor remains a key driver of consumer satisfaction, there is a growing need to assess how aging influences palatability in beef cuts. Muscles such as the biceps femoris (BF), gluteus medius (GM), and semimembranosus (SM) differ in biochemical composition, which may result in unique aging responses not yet fully characterized. The objective of this study was to characterize the influence of wet-aging duration on BF, GM, and SM muscles by evaluating descriptive sensory attributes and raw color measurements. Results from this study aim to inform quality strategies for extended aging across diverse beef muscles.
Materials and Methods: Eighty beef carcasses of similar marbling score (modest marbling, 500–599), were selected from a commercial facility in West Texas. Paired top sirloin butt (Institutional Meat Purchase Specifications [IMPS] #184) and 1 inside round (IMPS #168) subprimals were collected across 2 trips and transported (0–4°C) to the Gordon W. Davis Meat Laboratory at Texas Tech University. Carcasses were randomly assigned to 1 of 8 aging durations (14, 28, 35, 42, 49, 56, 63, or 70 d; n = 10/duration), and subprimals were aged at 2.2°C ± 0.02°C in darkness. After aging, trained personnel fabricated top sirloin butts into BF and GM muscles and inside rounds into SM muscles. Muscles were sliced into 2.54-cm steaks for sensory analysis and color evaluation. Steaks for sensory analysis were vacuum-sealed and frozen at −80°C, whereas raw samples bloomed for 30 min before instrumental color measurement. Descriptive sensory analysis followed American Meat Science Association (2016) and Adhikari et al. (2011) protocols. Panelists completed 30 h of training and 4 validation sessions. Each muscle was evaluated separately in 10 sessions (8 samples/session) by 6 trained panelists using a 16-point scale. Steaks were thawed (24 h, 4°C), cooked to 71°C, trimmed, cubed (1.3 × 1.3 × thickness), and served under red lighting. Instrumental color was measured using a HunterLab MiniScan spectrophotometer (illuminant A, 10° observer angle). CIE L*, a*, and b* values were averaged to calculate hue and chroma. Values were converted to XYZ and RGB to visualize color changes over aging. Sensory and color data were analyzed in R (version 4.3.1) with α = 0.05. Analysis of variance models included aging duration (fixed effect) and collection date (random effect). Estimated marginal means were calculated using the lme4 package and tested with Tukey-adjusted pairwise comparisons (emmeans package). Principal coordinate analysis (PCoA) visualized sensory data using Bray-Curtis distances (vegan package) and PCoA (ape package), with points colored by aging duration. Biplot vectors showed covariance between dimensions and sensory attributes. Partial least-squares discriminant analysis (PLS-DA) (caret package) identified groupings, with ellipses colored by muscle.
Results: Descriptive sensory analysis revealed aging duration influenced flavor profiles across the BF, GM, and SM muscles. In BF, muscle fiber tenderness, juiciness, and several flavor attributes remained consistent across aging durations (P ≥ 0.08). However, beef flavor identity decreased at 70 d (P = 0.01), and buttery flavor was decreased at 63 and 70 d compared with 28 d (P < 0.01). Off-flavors such as liver-like, musty/earthy, cardboardy, and bitter increased with aging, particularly at 63 and 70 d (P < 0.01). Sour basic taste also intensified with longer aging duration, whereas sweet and umami declined (P < 0.02). In GM, aging duration influenced tenderness and connective tissue attributes (P < 0.01), with greater tenderness and lower connective tissue noted at 63 d. Beef flavor identity and umami both declined with aging (P < 0.01), especially at 63 d. Metallic, liver-like, bitter, sour, musty/earthy, cardboardy, and painty off-flavors all increased with extended aging durations (P < 0.01). In contrast, most sensory traits in the SM muscle, including tenderness, juiciness, and positive flavor attributes, were unaffected by aging (P ≥ 0.07). Cardboardy and bitter attributes showed slight increases with aging duration (P < 0.02) but remained barely detectable. Principal coordinate analysis and PLS-DA revealed distinct clustering among the 3 muscles, demonstrating unique sensory profiles. The BF clustered separately from GM and SM, which showed some overlap but remained distinguishable, confirming muscle-specific flavor differences. Instrumental objective color results supported these trends. In BF, a* (redness) decreased with aging duration (P = 0.05), whereas L*, b*, hue, and chroma were unaffected. GM showed decreased a* and b* values at longer aging durations (P < 0.03), indicating reduced redness and yellowness. SM exhibited declines in L*, a*, b*, and chroma at later aging stages (P < 0.01), reflecting diminished lightness and color intensity over time.
Conclusion: This study demonstrated that extended wet aging alters the flavor profile of beef muscles, with notable increases in off-flavor attributes and decreases in positive flavor notes, such as beef identity and umami. These effects were consistent across the BF, GM, and SM muscles, although the sensory changes were evaluated individually by muscle type. Raw instrumental color measurements showed minimal but consistent reductions in redness with longer aging durations. These findings underscore the importance of carefully managing postmortem aging to balance flavor development, shelf life, and consumer acceptance. A targeted approach to aging may help optimize beef quality, guiding producers, processors, and retailers in decision-making for value-added beef programs and extended storage applications.
Funding Source: Research was coordinated by the National Cattlemen’s Beef Association.
Keywords: beef, descriptive sensory, instrumental color.
73 Exploring Dry Aging as a Value-Adding Method for Bison Meat Quality Enhancement
Evie Sierra1*, Dong-Jin Shin1, Amanda Weaver2, Kyle Grubbs2, and Yuan H. Brad Kim1, 1Purdue University, West Lafayette, IN 47907, USA, 2South Dakota State University, Brookings, SD 57007, USA *elsierra@purdue.edu
Introduction/Objectives: In recent years, demand for bison meat has grown, driven by its superior nutritional profile compared with beef. Compared with beef, bison meat contains less fat and sodium as well as higher iron contents. Despite its distinct flavor, previous sensory analyses have associated bison meat with off-flavors, such as “gamey” and “metallic.” Dry aging, a value-adding process, is known to enhance flavor complexity and improve other palatability attributes. However, its potential to complement nutritional benefits while enhancing palatability attributes has not been explored in bison loins. Therefore, the objective of this study was to investigate the impacts of various dry-aging methods on meat quality, chemical attributes, and sensory characteristics of bison loins.
Materials and Methods: Paired bone-in striploins (M. longissimus lumborum) were obtained from grain-finished bison carcasses (n = 30) at 7 d postmortem. From the 2 pairs of loins, each loin was randomly assigned to 1 of 4 aging treatments: wet aging (WA), dry aging (DA), dry aging under ultraviolet light (UDA), and dry aging in a plastic bag (DWA; Dry-Aging Bags Brisket/Bone-in, UMAi Dry, Minneapolis, MN). The loins were aged for 28 d in an environment-controlled cooler at 1°C with humidity (65%) and air flow (0.8 m/s). Upon aging, the loins were deboned, trimmed out, and weighed for the final yield estimation. Then, loins were cut into steaks for color stability, pH, Warner-Bratzler shear force, cook loss, myofibrillar fragmentation index (MFI), thiobarbituric acid reactive substance, proximate composition, fatty acid composition, and sensory (consumer [n = 120] and trained [n = 7]) panel evaluations. The experimental design consisted of an incomplete balanced block design, and a PROC GLIMMIX procedure of SAS was utilized (significance level P < 0.05).
Results: WA had the greatest total yield, followed by DWA, whereas DA and UDA had the lowest yields among all treatments (P < 0.05). Moisture content was higher in WA compared with UDA and DA (P < 0.05), with DWA having similar moisture amount to WA (P > 0.05). Protein content was lowest in WA compared with all dry-aged treatments (P < 0.05). WA had higher redness, yellowness, lightness, and chroma values compared with dry-aged treatments throughout display time (P < 0.05). No significant differences were observed among treatments in pH, cook loss, shear force, MFI, or lipid oxidation. The consumer sensory panel found flavor-liking highest in UDA samples compared with WA and DWA samples (P < 0.05), although DA flavor-liking was not significantly different compared with other treatments. Overall liking was detected higher in UDA compared with DWA (P < 0.05), with no differences found in DA and WA compared with other treatments (P > 0.05). In the trained sensory panel, umami flavor was found to be higher in DA samples compared with WA (P < 0.05), with no significant differences found in UDA and DWA compared with other treatments. Greater bloody flavor was detected in WA samples compared with DWA (P < 0.05), and neither UDA nor DA differed from the other treatments (P > 0.05). Juiciness was highest in UDA (P < 0.05), followed by WA and DWA, although these treatments did not differ significantly with other treatments.
Conclusion: The results of this study demonstrate the efficacy of dry aging in flavor enhancement of bison meat with minimal negative effects on other meat quality attributes. The use of a wet-permeable bag effectively mitigated moisture loss, as DWA samples retained higher moisture content and greater yield compared with other dry-aging treatments. Although dry aging reduced total yield compared with wet aging, consumer sensory results indicated improved flavor and overall-liking. Trained sensory evaluation showed further improvements in flavor with dry aging, given higher umami and lower bloody flavor was detected in dry-aged treatments compared with wet aging. Therefore, dry aging can serve as a natural postharvest value-adding process to improve bison meat flavor and consumer acceptance without compromising key quality attributes.
Funding Source: Center of Excellence for Bison Studies.
Keywords: bison, dry aging, flavor, meat quality.
74 Impact of Marbling on Consumer Perception of Palatability and Eating Satisfaction
Blake A. Foraker*, Markus F. Miller, and Dale R. Woerner, Texas Tech University, Lubbock, TX 79409, USA *blake.foraker@ttu.edu
Introduction/Objectives: Wagyu cattle were first introduced in the United States in 1973, and since then, their popularity has grown substantially. Consumers perceive Wagyu as a niche, high-quality beef product that offers a satisfactory eating experience. Numerous studies have noted this more desirable eating quality is due to extensive intramuscular fat deposition and a unique fatty acid composition, which are characteristics of the breed. The objective of this study was to evaluate the effect of increases in marbling on the probability of a desirable eating experience in Wagyu strip steaks.
Materials and Methods: Wagyu carcass sides used in the study were selected at a beef harvest facility in Washington (N = 116) following a standard 48-h chill period. Carcass sides were selected based on marbling scores obtained from the grading camera and were designated to 8 marbling score groups: 750, 800, 850, 950, 1000, 1050, 1100, and 1150. After carcass selection, 3 steaks were obtained from the striploin of each carcass side (n = 348). Upon packaging and freezing, samples were shipped to Texas Tech University and held in cold storage until use. Each of the 3 steaks were allocated to either chemical fat extraction, sensory analysis, or best-worst panel analysis. Steaks allocated for chemical fat analysis were evaluated using the chloroform methanol fat extraction method. Steaks utilized for sensory analysis were cooked to a peak internal temperature of 71°C in a Rational combi oven. Ten steaks were served to 6 panelists during each panel session. Panelists evaluated each sample for tenderness, juiciness, beefy/brothy, browned/roasted, charred/bitter, fat like, buttery, umami, earthy/mushroom, metallic, liver like, and sour, utilizing a 15-point scale. Steaks allocated for best-worst panel analysis were served to untrained panelists made up of students attending the Culinary Institute of America San Antonio under the same cooking protocol followed for sensory analysis. Panelists were served samples in 9 separate rounds. In each of the first 8 rounds, panelists were served 4 random samples from the 8 different marbling score groups, with each round containing a unique random combination of the marbling score groups. Each panelist was then prompted to identify one sample as the best and one as the worst for each round. For the ninth round, panelists were served 8 samples representing steaks from each of the 8 marbling score groups and asked to rank them from best to worst. The binary outcomes of a “best” and “worst” rating were analyzed using a mixed-effects logistic regression model, with a type III analysis of variance used to evaluate the significance of marbling score on the model. Pairwise comparisons of the marbling score groups were conducted with a Kenward-Roger adjustment and a significance level of α = 0.05.
Results: Marbling score groups showed differences in chemical fat percentage, wherein increases in marbling score resulted in increased chemical fat percentage (P < 0.001). Moreover, pairwise comparisons showed that steaks within the 1150, 1100, and 1050 marbling score groups were different when compared with steaks within the 750, 800, and 850 marbling score groups (P < 0.001). Descriptive sensory analysis revealed that marbling score influenced flavor profiles in Wagyu strip steaks. Tenderness, juiciness, fat like, and buttery flavor attributes showed a general increase as marbling score increased (P < 0.001). Increases in marbling scores were associated with increased tenderness, juiciness, buttery, and fat like flavors (P < 0.05). Furthermore, liver like and charred/bitter flavor attributes exhibited a general decrease in intensity as marbling score increased (P ≤ 0.02). Moreover, beefy/brothy and browned/roasted flavor intensities numerically increased with increases in marbling score; however, they show no differences across marbling score groups (P ≥ 0.077). Umami, earthy/mushroom, metallic, and sour flavor attributes revealed no intensity differences in response to differences in marbling score (P > 0.178). Best-worst panel analysis exhibited differences in the probability of a best and worst placement of Wagyu strip steaks. The probability of a best placement was revealed to generally increase with increases in marbling score (P < 0.05). Steaks within the 1150 marbling score group were found to have the greatest differences from steaks within the 850, 800, and 750 marbling score groups and, therefore, an increased likelihood of a best placement (P < 0.001). The probability of a worst placement was found to numerically decrease with increases in marbling score (P < 0.05). Steaks within the 750 marbling score group were found to have the greatest probability of a worst placement and exhibited the greatest differences from steaks in the remaining marbling score groups (P < 0.001).
Conclusion: This study revealed that increases in marbling score were found to enhance desirable beef flavor attributes, such as tenderness, juiciness, fat like, and buttery, within Wagyu strip steaks. Additionally, more undesirable flavor attributes were found to decrease with increases in marbling score. Higher marbling scores were associated with an increase in the probability of a best placement and a decrease in the probability of a worst placement. This highlights the importance of marbling in enhancing both the sensory experience and the perceived quality of beef.
Funding Source: Funding for this project was provided by AgriBeef Co.
Keywords: beef, consumer, sensory, marbling, Wagyu.
75 Evaluation of the Relationship Between Cattle Age and Tongue Tenderness, Color Life, Intramuscular Fat Content, and Palatability Outcomes
Kade E. Lawrence*, Trent E. Schwartz, Loni W. Lucherk, and Ty E. Lawrence, West Texas A&M University, Canyon, TX 79016, USA *kelawrence1@buffs.wtamu.edu
Introduction/Objectives: American beef tongue is of particular importance to Japanese cuisine and culture, making up a significant portion of US exports to Japan for the past several decades. When making purchasing decisions, Japanese customers prioritize expected palatability and retail color appearance. In the US beef grading system, the maturity of beef cattle is determined using dentition and a combination of skeletal and lean maturity. Age is often used in beef grading systems as an indicator of palatability, particularly tenderness. However, little consideration has been given to the effect of maturity on the palatability of beef variety meats, such as tongue. Therefore, our objective was to begin to understand the relationship of animal age and location within the tongue (root or body) upon the tenderness, color life, intramuscular fat percentage, and palatability outcomes of beef tongue slices.
Materials and Methods: Tongues (n = 60) were procured at a commercial beef processor from cull dairy cow carcasses initially identified at harvest as exhibiting an ear tag displaying a date of birth and 2, 4, 6, or 8 permanent incisors (PI; n = 15 per PI category). Tongues were frozen at the harvest facility, transported to the West Texas A&M University meat laboratory, and thawed for 24 h. Tongues were separated into root and body sections at the lingual fossa, with 1 cm removed on either side of the concave area to provide a distinct separation between the root and body portions. Each portion was sliced transversely into 5-mm-thick samples, trimmed to remove the rough outer epithelial surface tissue, and allocated to uncooked or cooked Allo-Kramer shear force (AKSF), simulated retail display, intramuscular fat (IMF) determination, or trained sensory evaluations. Samples for cooked AKSF were prepared on a clam-shell-style grill press to an internal temperature of 71.1°C; samples from the root and body were cooked for 40 and 35 s, respectively. One slice each from the root and body were placed in overwrap packaging for 108 h of simulated retail display at 2.2°C and evaluated for objective color parameters (L* a* b*). One slice each from the root and body was frozen via liquid nitrogen, powdered, and analyzed using ether extraction to quantify percentage IMF. Five to 7 slices each from root and body portions were evaluated for 9 palatability factors (initial tenderness, sustained tenderness, overall juiciness, springy/gumminess, beef flavor identity, beef flavor intensity, liver-like flavor, bloody/serumy flavor, fat-like flavor) by trained sensory panelists. Data were analyzed using a split-plot experimental design and a 1-way treatment structure with mixed analysis of variance models; number of PI was the fixed effect, and harvest date was the random effect.
Results: Tongues from cull cows with 2 PI were lighter in weight (P < 0.001) and shorter in length (P < 0.001) than those from cows with 4, 6, or 8 PI. Uncooked AKSF did not differ (P = 0.943) between PI categories; however, root portion had 56% lower (P < 0.001) AKSF values than body portion. Cooked AKSF values from cows with 8 PI were 13% higher (P = 0.021) than those from cows with 2 or 4 PI. Cooked AKSF of root portion was 47% lower (P < 0.001) than that of body portion. Cook loss was greater for root portion than body portion (P = 0.001), yet no difference (P = 0.324) in cook loss was detected among number of PI. During simulated retail display, an interaction for L* occurred for PI × location (P < 0.001); root portion slices had higher L* values than those from the body portion, and as cow age increased from 2 to 8 PI, root portion became darker, whereas body portion did not change. During the 108-h simulated display, L* of tongue slices increased (P < 0.001) slightly from 42 to 44. An interaction for a* occurred for PI × location (P < 0.001); slices from the body were redder than slices from the root, and as cow age increased past 4 PI, body portion retained higher a* values than root portion. Intramuscular fat content was strongly associated with location (P < 0.001); slices from the root portion had a 15 percentage point–higher IMF value than body portion slices; however, IMF content was unaffected (P = 0.310) by number of PI. In a trained sensory panel, root samples had higher initial (P < 0.001) and sustained (P < 0.001) tenderness than body samples while being juicier (P < 0.001) and having a greater fat-like flavor (P < 0.001). Moreover, root samples possessed less (P < 0.001) liver-like and bloody/serumy flavors. Body samples were less springy/gummy (P < 0.001) than root samples and had greater beef flavor identity (P = 0.003), yet no difference was detected between root and body samples for beef flavor intensity (P = 0.843). Additionally, initial and sustained tenderness decreased (P = 0.002) as number of PI increased; however, no difference (P ≥ 0.236) was detected across number of PI for the remaining palatability factors.
Conclusion: These results suggest that dentition at harvest can be used as a predictor of tenderness of cooked tongue slices from the root location. Tougher cooked slices from the root were associated with greater number of PI. However, uncooked tenderness values did not differ among dentition classifications. Additionally, these findings suggest that the association of dentition and tongue color life should be further investigated. Slices from the body were redder in color than slices from the root, which can be primarily attributed to fat content of the root. Likewise, slices from the root contained a higher percentage of intramuscular fat than slices from the body, yet no difference was detected among dentition categories. Root portion slices excelled in sensory tenderness and juiciness as well as fat-like flavors, whereas body portion slices had greater beef flavor identity and were less springy/gummy. Overall, subjective tenderness decreased as dentition increased.
Funding Source: Funded by the West Texas A&M University Beef Carcass Research Center.
Keywords: Allo-Kramer, beef, lingua, sensory, dentition.
Meat and Poultry Quality and Composition - Measurement and Prediction
76 Carcass Fabrication Yield Outcomes of Purebred Angus and Angus × Holstein Crossbred Steers
Thomas C. Petit*, Trent E. Schwartz, Loni W. Lucherk, and Ty E. Lawrence, West Texas A&M University, Canyon, TX 79016, USA *tpetit@wtamu.edu
Introduction/Objectives: Purebred dairy cattle are typically discounted when marketed to beef processors because of unfavorable carcass muscling attributes, ergonomic carcass length complications, and marketing limitations. Dairy-crossbred cattle allow producers to add value to the dairy industry by providing a product that reduces discounts and improves marketability. Angus (A) and Angus × Holstein (AH) cattle differ in genetic composition and in muscular conformation, potentially impacting their yield outcomes for primal and subprimal cuts. Our objective was to determine primal and subprimal yield of black A and black AH steers.
Materials and Methods: Cattle (n = 40) comprised of black A steers (n = 20) and black AH steers (n = 20) originating from 4 different feedlots were harvested on 4 different harvest days at the Caviness Meat Science & Innovation Center. Carcasses were allowed a 48-h chill, and all right sides were ribbed at the 12th and 13th rib interface prior to fabrication and evaluated for yield and quality outcomes. After grading, sides were weighed and then separated into primals. Primals were weighed and fabricated into subprimals according to Institutional Meat Purchase Specifications (IMPS). Subprimal cuts from the brisket included the brisket, deckle off, boneless (IMPS #120). Chuck and foreshank subprimal cuts included the shoulder clod, arm roast (IMPS #114E); top blade, roast (IMPS #114D); shoulder tender (IMPS #114F); chuck tender (IMPS #116B); chuck roll (IMPS #116A); chuck flap (IMPS #116G, PSO 1); short ribs, boneless (IMPS #130A); and pectoral meat (IMPS #115D). Rib subprimal cuts included ribeye roll, lip-on (IMPS #112A), back ribs (IMPS #124), and blade meat (IMPS #109B). Subprimals for the plate were inside skirt (IMPS #121D), outside skirt (IMPS #121C), and plate short ribs, trimmed (IMPS #123A). Loin and sirloin subprimals were striploin, boneless (IMPS #180); tenderloin, full, side muscle on, defatted (IMPS #189A); top sirloin butt, boneless (IMPS #184); bottom sirloin butt, tri-tip, boneless, defatted (IMPS #185D); hanging tender (IMPS #140); and the bottom sirloin butt, ball tip, boneless (IMPS 185B). Subprimal cuts from the flank included flank steak (IMPS #193) and bottom sirloin butt, flap, boneless (IMPS #185A). Round subprimal cuts included knuckle, peeled (IMPS #167A); top (inside) (IMPS #169); outside round (IMPS #171B); eye of round (IMPS #171C); and heel meat (IMPS #171F). Weights of all subprimal cuts, trim, fat, and bones were recorded for each primal. All trim, fat, and bone from all primals were combined to calculate total weights for each category. Yield weights were converted to percentage of chilled carcass weight prior to analysis. Data were analyzed using mixed models; the fixed effect was breed type, and the random effect was feedlot source.
Results: Grading outcomes revealed that A carcasses had greater marbling (P = 0.039; A = 527, AH = 474) and less kidney pelvic heart fat (P < 0.001; A = 3.12%, AH = 3.81%) than AH carcasses. Fat thickness tended to be greater (P = 0.104) and lean maturity scores tended (P = 0.077) to be lower for A compared with AH carcasses. No differences (P ≥ 0.44) were observed between cattle types for ribeye area, yield grade, and bone maturity score. Carcasses of AH cattle were 7.0% heavier (P < 0.01) than those of A cattle. Similarly, AH primals were heavier (P ≤ 0.05) for chuck and foreshank (+9.1%), rib (+6.7%), plate (+9.2%), flank (+8.3%), and round (+8.2%) but not brisket (P = 0.485) or loin (P = 0.203) compared with those in A carcasses. When expressed as a percentage of carcass weight, the loin primal tended (P = 0.075) to be greater for A (15.83%) than AH (15.32%) carcasses; no difference (P ≥ 0.160) in percentage of carcass was detected for remaining primals. Round subprimals did not differ (P ≥ 0.120) as a percentage of the carcass. The striploin of A cattle was a greater percentage of the carcass than AH cattle (A = 2.62%, AH = 2.50%; P = 0.050); no other differences (P ≥ 0.229) in loin subprimal yields were detected. Backribs of AH cattle were a greater percentage of the carcass than A cattle (AH = 0.92%, A = 0.86%; P = 0.029); no other differences (P ≥ 0.580) in rib subprimal yields were observed. Carcasses from A cattle had a greater percentage of boneless chuck short ribs (0.81% vs. 0.73%; P = 0.032) than AH cattle; no other differences existed (P ≥ 0.158) for chuck subprimals. Brisket subprimals from A cattle tended to account for a higher percentage of the carcass than AH cattle (3.83% vs. 3.58%; P = 0.065). In contrast, flank steaks of carcasses from AH cattle were a greater percentage of the carcass (0.51% vs. 0.46%; P = 0.006) than from carcasses of A cattle. No differences were detected for remaining subprimals cut from brisket, plate, or flank primals. No difference in fat trim (P = 0.377), 80/20 trim (P = 0.421), or 50/50 trim (P = 0.211) compiled from all primals was detected. However, bone compiled from all primals accounted for a higher (P < 0.01) percentage of AH carcasses (14.52%) compared with A carcasses (13.07%).
Conclusion: Results from this study suggest that AH carcasses are likely larger in weight at harvest than A carcasses. Grading outcomes revealed that A carcasses had higher marbling scores and less kidney, pelvic, and heart fat than AH carcasses. Increased bone weight of AH carcasses contributed 35% of the difference observed in chilled carcass weight between A and AH carcasses. Few differences in primal or subprimal yield were detected between cattle types.
Funding Source: Funding for this project provided by the Iowa Beef Industry Council’s State Checkoff Program.
Keywords: beef, breed, cutability.
Meat and Poultry Quality
77 Clean-Label Antioxidants Solutions in Enhancing Pet Food Quality Under Accelerated Shelf-Life Conditions
Snigdha Guha*, Joyjit Saha, Saurabh Kumar, and Christin Kohloff, Kerry Ingredients and Flavors, Beloit, WI 53511, USA *snigdha.guha@kerry.com
Introduction/Objectives: Pet foods are usually produced via mechanical deboning or mechanical separation processes of a wide range of meat sources. Manufacturers also include meat byproducts, such as necks, gizzards, and bones, which help to achieve consistency and texture and contribute to the affordability/palatability of pet food products. However, because of this reason, pet foods are usually very prone to lipid and protein oxidation, which can lead to rancidity, off-flavors, and loss of essential nutrients, ultimately impacting both the palatability and nutritional value of the product. Moreover, pet owners are more conscious about ingredient labels and prefer natural, easily recognizable ingredients. Clean-label antioxidants, such as tocopherols, rosemary extract, and ascorbic acid, align with consumer demands for transparency, as these ingredients are seen as safe and more health promoting compared with synthetic preservatives, such as butylated hydroxyanisole (BHA) and butylated hydroxytoluene. The objective of this study is to test the antioxidant efficacy of 2 clean-label solutions in pet food.
Materials and Methods: To address consumer needs while maintaining production costs, 2 novel clean-label plant-based antioxidant concepts have been developed, namely, FoodGard concept 1 and FoodGard concept 2. This study aimed to determine the efficacy of these 2 antioxidant concepts in reducing lipid and protein oxidation in semimoist pet treats in an accelerated shelf-life condition. Treatments included negative control (no antioxidant), positive commercial control (150 ppm BHA), rosemary at 30 ppm bioactive (clean-label commercial control), and varying concentrations of FoodGard Concepts 1 and 2 (0.3%, 0.5%, and 1%). Treatments were stored under accelerated storage conditions at 45°C and 84% relative humidity for a period of 3 mo, and they were regularly analyzed for their peroxide content (primary lipid oxidation), malonaldehyde (MDA) content (secondary lipid oxidation) via thiobarbituric acid reactive substances, carbonyl content (protein oxidation), and histamine content (biogenic amine content). All differences were compared using 1-way analysis of variance (P < 0.05).
Results: The results of this study demonstrated that the negative control treatment reached peroxide values of at least 20 meq/kg and MDA of at least 5 μg/g (indicating poor fat quality) within 14 and 8 d, respectively. However, both the FoodGard concepts 1 and 2, at 0.05% and 1% doses, were able to limit the primary and secondary oxidation significantly (P < 0.05) over 2 mo under accelerated storage conditions, which was comparable to the positive commercial control. Both the antioxidants were also successful in reducing protein oxidation in the pet treats comparable to the BHA control. Therefore, this study demonstrates the parity of the FoodGard concepts with conventional antioxidant solutions in controlling the oxidative degradation of high-fat pet foods and can also help pet food manufacturers keep their production costs low by using mechanical deboning or mechanical separation processes.
Conclusion: Through this research, we can understand the different types of oxidations occurring in pet food and their negative consequences on pet health. Furthermore, 2 novel plant-based antioxidants were identified that can limit primary and secondary lipid oxidation along with protein oxidation in pet food under accelerated oxidative conditions. This study also helps us to assess the importance of incorporating clean label antioxidant solutions in pet foods to provide safer and high-quality products that support pet health meeting both consumer needs and affordability.
Funding Source: Kerry Inc.
Keywords: pet food, antioxidant, clean-label, accelerated testing.
78 Assessing Pork Spoilage Using Meat Exudate Microbial and Metabolomic Signatures
Saud Ur Rehman1*, Bruce R. Cooper2, Priyanka Ramesh2, and Yuan H. Brad Kim1, 1Department of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA, 2Bindley Bioscience Center, Purdue University, West Lafayette, IN 47907, USA *rehmans@purdue.edu
Introduction/Objectives: Meat spoilage is a major contributor to food waste in the meat industry. Traditional spoilage detection methods have limitations, highlighting the need for a rapid detection and possibly predictive system. Meat exudate, an easily obtainable aqueous matrix released during storage, contains metabolites associated with microbial activity, making it a promising candidate for assessing meat spoilage and quality. This study aimed to evaluate the efficacy of meat exudate as an analytical medium for assessing spoilage in pork loins during aging. Additionally, metabolomic profiling of both exudate and meat tissue samples was conducted to compare their biochemical signatures and gain deeper insights into the mechanisms underlying meat spoilage.
Materials and Methods: At 7 d postmortem, loin (longissimus lumborum) muscles from market-weight pigs (n = 9) were obtained, cut into 6 parts, vacuum packaged, and stored at 1°C (control) and 10°C (spoilage) for 1, 7, and 14 d. Exudate and meat tissue samples were aseptically collected and enumerated for bacterial (Lactobacillus, Pseudomonas, Enterobacteriaceae, and total bacterial count) counts. Volatile organic compounds (VOC) in exudate were assessed using head-space solid-phase microextraction. The freshness and lipid oxidation of pork loins were determined by measuring total volatile basic nitrogen (TVBN) and 2-thiobarbituric acid reactive substances (TBARS), respectively. Untargeted metabolomic profiles of both exudate and tissue samples were analyzed via ultra-performance liquid chromatography–mass spectrometry. Statistical analysis was performed by using PROC GLIMMIX procedure with SAS 9.4, and metabolomics data analysis was completed through MetaboAnalyst 6.0. Individual main effects were reported if interaction was not found significant (threshold of P < 0.05).
Results: As expected, pork loins stored under spoilage conditions (10°C) exhibited significant microbial growth over time. Microbial counts in pork exudates closely mirrored those in meat tissue throughout storage. After 1 d, microbial levels remained below 3 log CFU in both meat tissue and exudate, indicating minimal to no spoilage regardless of storage condition. At 7 d and 14 d, however, exudate microbial counts increased to 5 to 6 log CFU and 7 log CFU, respectively, under spoilage conditions, signifying partial and complete spoilage. This trend was also observed in meat tissue, reinforcing potential of exudate an analytical matrix for spoilage detection. Additionally, a total of 28 distinct VOC were identified in exudate samples. Among these, acetoin was detected exclusively at 7 d and 14 d under spoilage conditions, whereas compounds such as 4-propylbenzaldehyde and phenol increased over time regardless of the storage conditions. In contrast, methyl isobutyl ketone levels reduced, whereas octanal concentrations increased with spoilage condition (P < 0.05). TVBN levels, a key spoilage indicator, were significantly higher in tissue samples from spoiled meat compared with controls at 14 d. A strong positive correlation (r > 0.6) was observed between TVBN and microbial growth in pork loins. Under spoilage conditions, TBARS levels increased (P < 0.05) regardless of storage duration. Untargeted metabolomic profiling of exudate and tissue identified 3,391 and 3,230 metabolites, respectively. Principal component analysis revealed storage condition-dependent clustering in both matrices. However, tissue samples exhibited substantial overlap, whereas exudate samples demonstrated more distinct separation. Notably, the greatest divergence occurred at 14 d under spoilage conditions, indicating significant biochemical alterations associated with extended storage at elevated temperature. Among the detected metabolites, nucleotide derivatives, such as uridine, xanthine, hypoxanthine, and inosine, along with fatty acid metabolism-related compounds, including carnitine and acyl-carnitines, were more pronounced, suggesting as potential spoilage indicators in both meat tissue and exudates.
Conclusion: The results of the present study explored the potential of meat exudate as an analytical matrix for spoilage assessment, showing microbial growth patterns that were generally comparable to those observed in homogenized tissue samples. VOC profiling further provided supporting evidence for the suitability of exudate for spoilage assessment. Its physicochemical uniformity and ease of collection highlight its practicality for routine quality assessment. Furthermore, untargeted metabolomic analysis revealed preliminary signs of greater discriminatory power in exudate profiles, supporting its potential utility in detecting spoilage-associated metabolic alterations. These findings lay the foundation for further exploration of exudate as a ready-to-use medium for spoilage detection, pending biomarker identification through metabolomics. Ongoing efforts include further annotation and supervised multivariate analyses (e.g., pathway analysis and random forest) to refine biochemical signatures and gain deeper insights into meat spoilage mechanisms.
Funding Source: Purdue AgSEED Grant.
Keywords: spoilage, metabolomics, exudate, volatile organic compounds.
79 Effect of Tumbling at Different Thawing Levels and Post-Tumbling Storage on Quality Attributes of Beef Loins
Sung-Su Kim*, Jin-Kyu Seo, and Yuan H. Brad Kim, Department of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA *kim4737@purdue.edu
Introduction/Objectives: Tumbling is a widely used postharvest processing technique to enhance the palatability attributes of fresh meat. Recent studies suggest that tumbling only (without brine) can lead to an immediate tenderness improvement by physical disruption of muscle fibers. This study hypothesized that tumbling beef at early postmortem may enhance tenderness by accelerating proteolysis during subsequent storage. Additionally, it was proposed that tumbling partially thawed beef could improve tenderness through a combination of physical disruption, cryodamage, and proteolysis. Therefore, this study aimed to evaluate the effects of tumbling and posttumbling storage on the quality attributes of beef at different thawing levels.
Materials and Methods: Striploins (M. longissimus lumborum; left side) from beef carcasses (n = 27; US Department of Agriculture low Choice grade) at 3 d postmortem were obtained. In the first experiment, the loins (n = 13) were cut into 3 sections and randomly assigned to one of the following treatments: nontumbled + no further storage (NTNS), tumbled + no further storage (TNS), or tumbled + 24 h storage (TS). In the second experiment, the remaining loins (n = 14) were cut into 3 sections and randomly allocated to one of the following treatments: fully thawed then tumbled (FT; thawed for 30 h at 4°C), half-thawed then tumbled (HT; thawed for 14 h at 4°C), or tumbled without thawing (UT). All tumbling was applied for 90 min at 8.5 rpm. Thawing loss, tumbling loss, further storage loss, and total loss were measured throughout the process. Upon tumbling, each loin section was cut into 2 steaks for cooking loss, Warner-Bratzler shear force (WBSF), drip loss, myofibrillar fragmentation index (MFI), pH, and bloomed color (CIE a* and chroma) measurements. All traits were analyzed using least-squares means in the PROC GLIMMIX procedure of SAS 9.4. The model included treatment as a fixed effect and animal as a random effect, with post hoc comparisons conducted using the Tukey test at 95% significance level.
Results: TNS and TS exhibited significantly lower total loss and WBSF values, along with higher redness (CIE a*), and color intensity (chroma) compared with nontumbled control (NTNS). Both FT and HT showed higher values for total loss, a*, and chroma compared with UT (P < 0.05); however, no differences were observed between FT and HT for these parameters (P > 0.05). Notably, total loss was lower in both HT and FT compared with UT (P < 0.05), but the difference between FT and UT was not significant (P > 0.05). Additionally, FT and HT demonstrated significantly lower WBSF values than UT, with no significant difference between FT and HT. FT also had higher MFI values than both UT and HT (P < 0.05). No significant differences were observed in cooking loss, drip loss, and pH among all treatment groups.
Conclusion: The results of this study confirmed that tumbling beef without brine addition can improve tenderness, though post-tumbling storage for 24 h had minimal impacts. Tumbling half-thawed beef produced tenderness comparable to fully thawed beef, suggesting its potential as a value-adding process during thawing. Future research should be warranted to determine the impacts of tumbling on other muscles with background toughness, investigate the underlying mechanisms, and determine optimal applying conditions.
Funding Source: US Department of Agriculture (USDA)–Agriculture and Food Research Initiative (AFRI) National Institute of Food and Agriculture (NIFA) (2023-67023) grant.
Keywords: beef quality; beef loin; tenderness; half-thawed; tumbling.
80 Does Freezing Prior to Aging Improve Tenderness of Beef Striploins?
Clayton C. Stevenson*, Megan E. Eckhardt, Loni W. Lucherk, Trent E. Schwartz, and Ty E. Lawrence, West Texas A&M University, Canyon, TX 79016, USA *ccstevenson1@buffs.wtamu.edu
Introduction/Objectives: Calpastatin, the endogenous inhibitor of calpain proteases, is known to be susceptible to inactivation during freezing. A reduction in calpastatin activity may enhance post-thaw proteolysis by calpains as the inhibitory barrier to tenderization is reduced. Furthermore, freezing-induced damage is not limited to the biochemical alterations of regulatory proteins; the physical effects of ice crystal formation also play a pivotal role. During the freezing process, the formation of intracellular ice crystals can rupture cellular membranes, leading to the release of both proteolytic enzymes and their substrates. This mechanical disruption increases the accessibility of myofibrillar proteins to calpains, thereby accelerating the tenderization process upon thawing. Thus, our objective was to determine whether immediate freezing prior to aging could improve beef striploin tenderness.
Materials and Methods: Beef striploin steaks (10 per subprimal) were cut from the anterior end of 10 striploin subprimals (US Department of Agriculture Institutional Meat Purchase Specifications #180) 48 h postmortem. Treatments were arranged in a 2 × 5 factorial arrangement (factors: initial age and postfreeze age). Steaks were randomly allocated to 1 of 2 initial aging treatments (2 d or 9 d postmortem) prior to freezing. Steaks remained frozen for 7 d before allowing 24 h to thaw. At the completion of thawing, steaks were randomly assigned to a postfreeze aging treatment (0 d, 7 d, 14 d, 21 d, 28 d), allowing 10 replications per treatment combination. Purge loss was determined by comparing steak weights at initial cutting and after aging. Steaks were cooked in a forced-air convection oven set at 177°C to an internal temperature of 71°C at the end of their postfreeze aging period. Peak internal temperature was monitored using a thermocouple. Peak internal temperature for each steak was recorded. Tenderness was evaluated using the slice shear force (SSF) method. Following the endpoint temperature reading, a 1- to 2-cm slice was removed across the width of the steak from the lateral end to square off the steak and expose the muscle fibers. Using a cutting guide, a 5-cm-long × 1-cm-thick section was obtained from the lateral end by cutting at a 45° angle parallel to the muscle fiber orientation. The sample was center-sheared perpendicular to the muscle fiber using an Instron universal testing machine with a crosshead speed of 500 mm/min and a 2kN load cell attached to the SSF blade. Peak shear force values were recorded in kilograms. Following a 24-h cooling period, steaks were subjected to Warner-Bratzler shear force (WBSF). Six cores (1.27-cm diameter) were mechanically removed parallel with the muscle fiber, and shear force was evaluated by shearing each core perpendicular to the muscle fibers. Peak WBSF value was recorded for each core and averaged to represent the value of each steak. Data were analyzed using mixed models; initial and postfreeze age were fixed effects, the striploin and steak number were random effects, and, for tenderness, peak temperature was also a random effect.
Results: Both purge loss and cook loss were unaffected by the interaction (P ≥ 0.232) of initial age and postfreeze aging treatment as well as the initial freezing treatment (P ≥ 0.360). Purge loss percentages were impacted by postaging treatments (P = 0.021), but no identifiable trend was determined. Steaks aged for 1 d and 28 d were similar in purge loss percentages but higher than steaks aged 14 d, whereas 7-d and 21-d aged steaks were intermediate. Cook loss percentages (P = 0.043) followed a similar pattern in which steaks aged for 1 d and 28 d were similar in cook loss percentages and greater than 14-d and 21-d aged steaks; 7-d aged steaks were similar to all other aging treatments. No interaction (P = 0.165) existed between pre- and postfreezing aging treatments for SSF. However, both prefreeze aging duration (P = 0.043) and postfreeze aging duration affected (P < 0.001) SSF values. Steaks aged for 9 d prior to freezing had SSF values that were 9.4% lower (P < 0.001) than steaks aged for 2 d prior to freezing. As post-thaw aging duration increased from 0 d to 7 d, 14 d, 21 d, and 28 d, tenderness improved by 25%, 36%, 45%, and 50%, respectively. No interaction (P = 0.721) between pre- and postfreezing aging treatments existed for WBSF. Objective tenderness assessed via WBSF did not differ (P = 0.222) between prefreeze aging treatments. However, as post-thaw aging increased from day 1, WBSF values decreased (P < 0.001) by 35%, 48%, 54%, and 49% for 7-d, 14-d, 21-d, and 28-d aged steaks, respectively.
Conclusion: These results indicate tenderness does not improve with immediate freezing prior to aging on beef striploins. Further research should be conducted assessing this method on tough cuts and cuts from animals with high endogenous calpastatin.
Funding Source: This project was funded by the West Texas A&M University Beef Carcass Research Center.
Keywords: calpastatin, purge, shear force.
81 Processing, Packaging, and Shelf Life: Enhancing the Quality of Large Sturgeon Fillets
Toni Lew Duarte*, Yuyuan Feng, Sudipta Talukder, Bakyzhan Bolkenov, Jackson Gross, and Xiang Yang, University of California Davis, CA 95616, USA *tlduarte@ucdavis.edu
Introduction/Objectives: White sturgeons are highly prized for their roe, which is used to produce caviar. Beyond caviar, their meat is also valued for its flavor and potential health benefits. However, fresh fish is highly perishable, and factors such as processing and packaging methods can significantly affect its quality and shelf life. Optimizing these postharvest methods is essential for preserving freshness and ensuring product stability. Therefore, this study aimed to evaluate how different processing (frozen vs. aged) and packaging (overwrap vs. vacuum) methods influence the quality and shelf life of fillets from large white sturgeons.
Materials and Methods: Sixteen white sturgeons (average weight = 30.37 kg) were stunned using a nonpenetrative captive bolt gun and exsanguinated. After harvest, fish were gutted, filleted, and randomly assigned to 1 of 2 processing methods: either immediately blast frozen (IF; n = 8) or aged at 0°C for 5 d before also being blast frozen (AG; n = 8). Following blast freezing, both groups were stored at −20°C for 30 d. Following their respective frozen storage period, fillets were then thawed at 4°C for 72 h prior to being packaged and placed into the retail display case. Fillets were portioned and packaged in either polystyrene trays with overwrap (OW; n = 16) or vacuum packaging (VAC; n = 16) before being placed in a retail display case at 2°C for 7 d. Objective color (CIE L*, a*, b*) was measured every 24 h using a portable spectrophotometer. Drip loss was determined following storage by weighing the sample, placing it in the retail display case for 48 h, and then removing surface moisture and reweighing. The percentage lost was then calculated. On days 0 and 7, trained panelists (n = 6) were asked to evaluate fillet color, odor, and texture using a 3-point scale (1, desirable; 2, acceptable; 3, unacceptable). Microbial counts were assessed for aerobic psychrotrophic bacteria, aerobic mesophilic bacterial, Enterobacteriaceae, and lactic acid bacteria (LAB). Texture profile analysis (TPA) was conducted on three 1.5 × 1.5 × 3–cm pieces per fillet. Sensory scores were analyzed using a cumulative link model, whereas objective color measurements were analyzed with a linear mixed-effects model with individual fish as a random variable. Microbial, TPA, and drip loss data were analyzed using a 3-way analysis of variance to assess the effects of processing, packaging, and display time, along with their interactions. The α level was defined as 0.05.
Results: Objective color was significantly negatively affected by packaging, with VAC fillets appearing darker (P < 0.05), redder (P < 0.05), and yellower (P < 0.05) than OW fillets. Similarly, AG samples exhibited greater (P < 0.05) redness over time, indicating that they were no longer the desirable bright white in color. Sensory attributes worsened (P < 0.05) over time, with panelists considering all samples unacceptable by day 7, except for the IF OW fillets still being rated as acceptable (mean = 1.89) by 4 out 6 panelists. The initial bacterial populations were similar (P > 0.05) for all the samples. Microbial counts increased (P < 0.05) over time, exceeding the spoilage threshold (7 log CFU/g) by day 7 regardless of processing or packaging type. The IF fillets had higher (P < 0.05) counts than AG fillets for all microbes except LAB by day 7. Texture degraded (P < 0.05) over time for all the fillets, although IF fillets retained higher (P < 0.05) cohesiveness, springiness, gumminess, and chewiness, indicating that immediate blast freezing may aid in retaining structural properties of fillets. Additionally, OW packaging increased the adhesiveness and cohesiveness of fillets compared with VAC (P < 0.05), suggesting that although OW packaging may help in retaining the structure of the fillet, it may also cause the fillet to become sticky and unattractive to consumers. Furthermore, drip loss was significantly impacted by processing type, with AG samples losing twice as much (P < 0.05) during the display time in comparison to IF samples—14.57% and 7.26%, respectively.
Conclusion: Results of this study demonstrate that both processing and packaging methods impact sturgeon fillets’ quality and shelf life. For example, the VAC packaging led to negative changes in color and texture of the sturgeon fillets. Furthermore, immediate freezing appeared to help preserve the structural integrity of the fillets and supported the retention of moisture and desirable textural properties. However, freezing may also contribute to increased microbial counts, potentially shortening shelf life. Therefore, further research is needed to investigate how these processing and packaging methods could be refined to better extend shelf life while maintaining the overall quality of sturgeon fillets.
Funding Source: Western Regional Aquaculture Center.
Keywords: fish, aquaculture, processing, packaging, sturgeon.
82 Clean-label Preservation of Semimoist Pet Foods Under Accelerated Storage Conditions
Jasmine Kataria, Rahul Sharma, Jyoti Aryal*, Saurabh Kumar, Joyjit Saha, and Christin Kohloff, Kerry Ingredients & Flavours, Beloit, WI 53511, USA *jyoti.j.aryal@kerry.com
Introduction/Objectives: Mold contamination in semimoist pet treats poses a significant challenge to the pet food industry, impacting product quality, safety, and consumer perception. With the growing demand for clean-label solutions, this study evaluated the antifungal efficacy and palatability of a cultured whey natural flavor–based antimicrobial, EverWild D01, as a natural preservative for semimoist pet treats.
Materials and Methods: Semimoist pet treats were formulated to a target moisture of 23.0%, water activity of 0.72, and pH of 6.10. Treatments included no preservative (negative control), 0.15% potassium sorbate, 0.30% lactic acid, and EverWild D01 at 0.50%, 1.00%, and 1.50%. Treats were surface-inoculated with Eurotium herbariorum, Penicillium roqueforti, and Aspergillus oryzae, and then stored under accelerated conditions (21°C, 84% relative humidity) to monitor time to mold growth. Mold outgrowth was recorded via daily visual inspection. Palatability testing was performed using uninoculated samples with 20 kennel dogs per day over 2 d (N = 40 dogs). On each day, dogs were offered 2 treats side by side—a test treatment and a control (potassium sorbate or lactic acid). The position of samples was randomized to avoid side bias, and dogs were tested individually. Each dog was given up to 2 min to assess and consume the samples, with a 10-min interval between tests to minimize palate fatigue. First choice and consumption were recorded. This paired preference design follows standard methods used in pet food sensory evaluation. First-choice data were analyzed using a binomial test to determine whether preferences for the treatments differed significantly from random chance (P ≤ 0.05).
Results: Days to first sign of visible mold growth in the negative control and lactic acid treatments occurred between days 25 and 29. The 1.50% EverWild D01 treatment delayed the first sign of visible mold growth to 165, 155, and 171 d for E. herbariorum, A. oryzae, and P. roqueforti, respectively, significantly outperforming 0.15% potassium sorbate (126, 91, and 115 d; P ≤ 0.05, 1-way analysis of variance, JMP Pro v15.1.0). Palatability testing showed that EverWild D01 offered 100% acceptability, comparable to potassium sorbate. Binomial test results confirmed no significant difference (P > 0.05) in first-choice preference, demonstrating parity in palatability.
Conclusion: EverWild D01 effectively delayed mold outgrowth in semimoist pet treats under accelerated storage, providing superior clean-label antifungal performance compared with traditional preservatives. Its parity in palatability to potassium sorbate supports its use as a consumer-friendly solution for mold control in pet foods.
Funding Source: Kerry.
Keywords: clean label, semimoist pet foods.
83 From Catch to Cut: Influence of Harvest and Packaging Methods on Trout Fillet Quality and Shelf Life
Zihan Zhao*, Toni Lew Duarte, Yuyuan Feng, Sudipta Talukder, Bakyzhan Bolkenov, Jackson Gross, and Xiang Yang, University of California, Davis, CA 95616, USA *zluzhao@ucdavis.edu
Introduction/Objectives: In the past year, the total value of trout sales received by growers experienced a steady increase, reaching 108 million dollars in 2024, increasing 8% from the total production in 2023. The trend demonstrates a stronger focus on domestic trout production. However, slaughtering methods could cause stress to fish and negatively impact the meat quality and shelf life of already highly perishable final products. Additionally, the change in the oxygen-permeable rate of the packaging film is likely to affect the microbial spoilage of fish products. Thus, the objective of this study was to evaluate the meat quality and shelf life of trout fillets from animals harvested with different methods and packaged in 2 different methods.
Materials and Methods: A total of 18 trout were harvested utilizing 1 of 3 methods: a traditional method of submersion in ice slurry (ICE; n = 6), an alternative method of either electricity (EL; n = 6), or nonpenetrating captive bolt (CAP; n = 6). Following slaughter, the fish were gutted, cleaned, and filleted at a commercial facility. Fillets were then placed on ice and transported back to the University of California, Davis meat lab where they were packaged in either polystyrene trays with overwrap (OW) or in vacuum (VAC) packaging before being placed into a retail display case for 10 d at 2°C. Objective color was measured every 24 h using a portable spectrophotometer. On days 0, 5, and 10, panelists (n = 6) were asked to evaluate the color, odor, and texture of fillets using a 3-point scale (1, desirable; 2, acceptable; 3, unacceptable). Samples were then taken from the fish to determine microbial counts for aerobic psychrotrophic bacteria (APC), Enterobacteriaceae, lactic acid bacteria (LAB) and Pseudomonas spp. (PS). Drip loss was measured by weighing a sample before packaging, storing it in a display case for 48 h, removing surface moisture, and reweighing. The percentage loss was then calculated. Sensory data were analyzed using a cumulative link model. Objective color data were analyzed using a linear mixed-effects model with fish treated as a random variable. Microbial data were analyzed using a 3-way analysis of variance to investigate treatment, display time effect, and their corresponding interactive effects. The α level was defined as 0.05.
Results: The objective color of the VAC samples was lighter, redder, and yellower (P < 0.05) compared with the overwrapped samples. Although VAC samples received higher evaluation scores (P < 0.05) compared with OW samples, all samples were rated as unacceptable for color, odor, and texture on day 10 regardless of packaging types or harvest method. All microbial counts increased (P < 0.05) over time. Samples in VAC had lower (P < 0.05) microbial counts (APC, LAB, PS) compared with samples in OW on day 5. The EL samples had the lowest (P < 0.05) APC counts compared with the ICE and CAP groups. However, counts for all bacteria types exceeded the level indicative of spoilage (7 log CFU/g) on day 10 for all the samples regardless of harvest or packaging methods. The drip loss was similar (P > 0.05) throughout the slaughtering and packaging methods, with only OW samples showing an increase (P < 0.05) in moisture loss from day 0 (<1%) to day 10 (>9%).
Conclusion: The results of this study indicated that both slaughtering and packaging methods significantly impact the quality and shelf life of trout fillets. Fillets packaged in VAC packaging seem to have increased sensory quality, reduced microbial counts, and reduced moisture loss compared with those packaged in OW. Additionally, fillets from fish processed using the EL method generally had lower total microbial counts compared with the ICE and CAP groups. These findings indicate that fish slaughtered using electricity followed by vacuum packaging would improve quality and shelf life of trout fillets.
Funding Source: Western Regional Aquaculture Center.
Keywords: fish, shelf life, meat quality, slaughter, packaging.
84 Influence of Carcass Chilling Systems on Primal Temperature Decline and Lean and External Fat Color of Bison Bull and Heifer Carcasses
Lydia M. O’Sullivan1*, Garrett. T. Weldy2, Jameson R. Brennan2, Christina E. Bakker2, J. Kyle Grubbs2, Keith R. Underwood2, and Amanda D. Blair2, 1Department of Animal and Equine Science, Murray State University, Murray, KY 42071, USA, 2Department of Animal Science, South Dakota State University, Brookings, SD 57007, USA *losullivan@murraystate.edu
Introduction/Objectives: Postmortem chilling is a critical step in carcass processing necessary to ensure food safety, reduce shrinkage, and allow for development of meat quality attributes, such as color. Chilling has been heavily investigated in the beef and swine industries because of its significant impact on meat quality and safety. Research in these species has demonstrated that factors such as chilling system and carcass size can impact the rate of chilling and subsequent meat quality outcomes, such as color. In the bison industry, both conventional air chilling and vascular chilling systems are commonly used to chill bison carcasses. However, information on the effect of different chilling systems on temperature decline in bison primals and subsequent effects on meat color is lacking. Therefore, the objective of this study was to evaluate the influence of chilling systems on primal temperature decline and lean and external fat color of bison bull and heifer carcasses.
Materials and Methods: Temperature decline of bison carcasses (n = 280) was evaluated at 2 processing plants that employ different chilling methods. Chilling treatments consisted of conventional air chilling (n = 140) and a vascular rinse system (n = 140), wherein a chilled isotonic solution (MPSC, Inc., St. Paul, MN) was rinsed through the carotid artery and jugular vein following exsanguination. The isotonic solution consisted of water, glucose, maltose, and phosphates. An equal number of bison bulls and heifers were evaluated at each facility (n = 70 of each sex per facility). Prior to carcass chilling, temperature data loggers were inserted into one side of each carcass to monitor temperature decline at 3 primal locations. One data logger (20.32 cm) was placed in the center of the round primal near the femur. One data logger (10.16 cm) was placed in the loin primal at the third lumbar vertebra, and one data logger (20.32 cm) was placed in the center of the chuck primal. Internal temperature was recorded every 5 min for a maximum of 18 h, and loggers were removed prior to fabrication. Following carcass chilling, color (L*, a*, b*) of the lean surface of the ribeye and external fat opposite the ribeye were recorded. To assess the rate of temperature decline, self-starting asymptotic regression models were fit for each individual carcass using the function (SSasymp) in the “stats” package of Program R (R Core Team, 2022). Bison bull and heifer temperature decline data were analyzed separately. Data were analyzed using the MIXED procedure of SAS (SAS Inst. Inc., Cary, NC) with rate of temperature decline as the response variable and fixed effects of primal, chilling system, and their interaction. Hot carcass weight was included as a covariate but omitted from the model if not significant. Lean and external fat color were analyzed separately using the MIXED procedure of SAS for the fixed effect of chilling system. Backfat measurement was included as a covariate but omitted from the model if not significant. Collection was included as a random effect, and carcass served as the experimental unit for all data. Statistical significance was considered at P value of 0.05 or less.
Results: A treatment by primal interaction (P = 0.0012) was observed for temperature decline in bison bulls. Chilling treatment did not influence (P ≥ 0.28) chilling rate in the chuck or the round of bull carcasses; however, loins from conventionally chilled bull carcasses had a faster (P = 0.02) chilling rate compared with loins from vascularly chilled bull carcasses. There was no difference (P = 0.45) in L* values of the lean surface between chilling treatment of bull carcasses. Vascular chilled bull carcasses had lower (P < 0.0001) a* and b* values of the lean surface compared with conventionally chilled carcasses. Vascularly chilled bull carcasses had greater (P = 0.0002) L* values of the backfat opposite the ribeye than conventionally chilled bull carcasses, whereas conventional chilling resulted in greater (P < 0.0001) a* and b* values. A treatment by primal interaction (P < 0.0001) was observed for temperature decline in bison heifers. The round and chuck primals of vascularly chilled heifer carcasses had faster (P ≤ 0.002) chilling rates compared with conventionally chilled. However, no differences (P = 0.14) were observed between the 2 treatments for chilling rate in the loin of heifer carcasses. Conventionally chilled heifer carcasses had greater (P ≤ 0.0003) L*, a*, and b* values of the lean surface of the ribeye compared with vascularly chilled heifers. Chilling treatment did not influence (P = 0.21) L* of the backfat opposite the ribeye. However, conventional chilling resulted in greater (P < 0.0001) a* values of backfat, whereas vascular chilled heifer carcasses had greater (P < 0.0001) b* values of backfat.
Conclusion: These data indicate that the temperature decline of bison primals is differentially influenced by carcass chilling systems. The differential response by primals could be reflective of differences in primal size, fat cover of each primal, and effectiveness of the specific chilling treatment at a particular location on the carcass. These factors could impact heat generation during postmortem metabolism as well as heat removal during chilling and warrant further investigation. Lean and fat color was also influenced by chilling method. Taken collectively, these results provide a benchmark for bison carcass chilling that can help guide future research and marketing efforts to ensure product consistency. Improved understanding of the factors that impact chilling rate could lead to strategies to optimize chilling processes for bison and support efforts to meet consumer demands.
Funding Source: This research was funded by state and federal funds appropriated to South Dakota State University, including support from the South Dakota State University Agriculture Experiment Station, National Institute of Food and Agriculture through the Hatch Act (accession no. 7008365), South Dakota State Center of Excellence for Bison Studies, and Turner Institute of EcoAgriculture.
Keywords: bison chilling, temperature decline, color.
85 Investigating Processing Facility Influence on Ground Beef Shelf Life
Cameron Catrett1*, Peyton Arnold1, Ashley Pitti1, Palika Dias-Morse1, Morgan Denzer2, Jacob Tuell3, Edward Yancey4, and Derico Setyabrata1, 1Department of Animal Science, University of Arkansas, Fayetteville, AR 72701, USA, 2Department of Food Science, University of Arkansas, Fayetteville, AR 72701, USA, 3School of Agricultural Sciences, Northwest Missouri State University, Maryville, MO 64468, USA, 4Tyson Foods Inc., Springdale, AR 72762, USA *ccatrett@uark.edu
Introduction/Objectives: Ground beef is a popular meat product that accounts for nearly 40% of retail beef purchases, but because of processing and grinding, it often has reduced color quality and shelf life. Researchers have begun to investigate how processing facility conditions may impact product shelf life. Recent studies found that microbiome populations differ between processing facilities and could impact product color quality. The objectives of the current study were to characterize processing facility influence on ground beef shelf ife.
Materials and Methods: Ground beef chubs (N = 9/facility; 80% lean, 20% fat) were collected from 2 commercial processing plants (P1 and P2) and equally but randomly assigned to processing at 1 of 2 secondary processing facilities (UA and NW). Chubs were fine ground (3-mm plate) to form 450-g loaves (n = 2 per chub), placed on foam trays with an absorbent pad, overwrapped with polyvinyl chloride film, and placed in simulated retail display for 5 d with color measurements taken every 24 h. On day 1 and day 5, samples were analyzed for pH, microbial enumeration (aerobic bacteria and lactic acid bacteria), and thiobarbituric acid reactive substances (TBARS). The study was a randomized complete block design with split-split-plot arrangement and the fixed effects of source plant, processing facility, display day, and their interactions. The collection period served as the block, the source plant as the whole plot factor, the processing facility as the split-plot factor, and the display day as the split-split-plot factor. Data were fit using a mixed model and analyzed using the lme4 and emmeans packages in RStudio. Differences were considered significant at P value less than or equal to 0.05.
Results: There was a plant × day interaction (P < 0.01) for both a* values and chroma in which P2 had decreased values for each attribute throughout display, indicating decreased color stability compared with P1. Moreover, there was secondary facility × day interaction (P < 0.01) for a* values and chroma in which NW loaves were less red and had decreased color saturation during display than UA (P < 0.01). There was a plant × day interaction (P = 0.02) for TBARS in which P2 day 5 values had greater oxidation detected compared with P1 day 1 and day 5 (P < 0.01), but P1 day 1 and P2 day 1 TBARS values did not differ from each other (P = 0.84). There was a plant × day interaction (P < 0.01) for pH in which P2 day 5 samples had decreased pH compared with P1 day 1 and day 5 samples as well as P2 day 1 samples (P < 0.01). There were no 2-way or 3-way interactions observed for both aerobic plate counts and lactic acid bacteria counts (P > 0.07); however, there were both plant and day main effects observed in which P2 had elevated plate counts compared with P1, and day 5 plate counts were greater than those of day 1 (P < 0.01).
Conclusion: The current results suggest the processing plant has a greater influence on ground beef color, microbial growth, and oxidative quality, whereas the secondary processing facility only impacted product color during display. Further analyses are being conducted to characterize the product microbiome from each facility and determine its relationship with shelf-life attributes.
Funding Source: Research was coordinated by the National Cattlemen’s Beef Association, a contractor to the Beef Checkoff.
Keywords: bacteria, beef, discoloration, facility, oxidation.
86 Effect of Vibration Isolation During Transportation on Beef Sirloin Subprimal and Steak Quality
Kyle Krueger*, Christina Bakker, Keith Underwood, Amanda Blair, Kyle Grubbs, Department of Animal Science, South Dakota State University, Brookings, SD 57007, USA *kylie.krueger@sdstate.edu
Introduction/Objectives: Although the influence of live animal transportation on product quality outcomes has been extensively studied, minimal research has been conducted on the effects of transportation on beef subprimal and case-ready product quality. In the meat industry, products can be transported several times between the source plant and the consumer. Previous research has reported that temperature during transportation directly impacts water holding capacity of beef sirloin subprimals. Additionally, produce transportation research has suggested roadway vibrations play a major role in damaging products during transport. However, data investigating the impact of transportation conditions on beef quality are lacking. Therefore, the objective of this study was to determine the influence of vibration during transportation on water holding capacity, color, and tenderness of beef sirloin subprimals and steaks.
Materials and Methods: US Department of Agriculture Choice center-cut sirloin top butts (n = 45 cases) were collected from a commercial processing facility and randomly allocated to 1 of 3 treatments (n = 15 cases/treatment) for transport (day 0). Treatments were (1) regular pallet transported 241 km (Reg241), (2) regular pallet transported 644 km (Reg644), and (3) vibration isolation pallet (wire coil isolators designed to support 500–600 kg) transported 644 km (Iso644). All subprimals were transported at −2.2°C. Following transport, subprimals were stored for 10 d (at 1.4°C ± 2.5°C) to mimic industry practices for product storage and aging. Following storage (day 11), 1 subprimal per box was evaluated for purge loss and fabricated into 3- to 2.54-cm-thick steaks from the anterior end. Ultimate pH was measured on the posterior end of the subprimal. Steaks were further bisected into medial and lateral sections (n = 6 steaks). Medial steaks were evaluated fresh, whereas lateral steaks were evaluated after freezing and thawing. All steaks were weighed, and initial objective color was recorded on the lateral day 12 steak at fabrication. Data were collected for purge loss, cook loss and Warner-Bratzler shear force (WBSF) on all steaks at 3 different project time points: (1) subprimal transport (day 12), (2) steak transport (day 23), and (3) steak transport plus a 6-d retail display (day 28). All medial day 12 steaks were evaluated on day 12 to represent subprimal transport, and lateral day 12 steaks were frozen. All other steaks were overwrapped and packaged in modified atmosphere mother bags for a second transport on regular pallets for an additional 483 km. All steaks were held for 5 d following second transport, prior to day 23 steak evaluation of purge loss, cook loss, and WBSF. A 6-d objective color retail display was conducted on day 28 steaks before evaluating purge loss, cook loss, and WBSF. Data were analyzed using the MIXED procedure of SAS, with fixed effects of treatment, day, and their interaction. Peak cooking temperature was included as a covariate for WBSF and cook loss. Separation of least-squares means was performed using a Tukey’s adjustment (assuming an α ≤ 0.05).
Results: A treatment effect was observed for subprimal L* (P = 0.0253). Steaks fabricated from Reg644 subprimals were darker (41.44 ± 0.60) than Iso644 (43.64 ± 0.60; P = 0.0338). Reg644 steaks also tended to be darker than Reg241 steaks (43.37 ± 0.60; P = 0.0692). A treatment × day interaction was observed for fresh steak purge loss (P < 0.0001). Purge loss increased 2.33% between day 12 and day 23 for Reg241 (P < 0.0001) and 1.41% for Iso644 (P = 0.0007) steaks. Purge loss decreased across all treatments during the retail display (day 23 vs. day 28; P < 0.05 for all). The Reg241 treatment exhibited 1.33% higher purge loss on day 23 than Reg644 (P = 0.0297), whereas Iso644 was intermediate and similar to both treatments (P > 0.05). Throughout the retail display, a tendency for a treatment effect was observed for L* (P = 0.0679). Reg644 steaks tended to be darker (40.28 ± 0.72) compared with Reg241 (42.38 ± 0.72; P = 0.0807); meanwhile, Iso644 was intermediate and not different from either treatment (P > 0.05). A day effect was observed for a* and b* as values decreased from day 23 to day 28 (P < 0.0001). Both treatment (P = 0.0020) and day (P = 0.0033) effects were observed for fresh steak cook loss. Reg241 steaks exhibited 3.12% greater cook loss compared with Reg644 steaks (P = 0.0013), whereas Iso644 was intermediate and similar to both treatments (P > 0.05). Cook loss also decreased 2.85% between day 12 and day 23 (P = 0.0022), whereas day 28 was intermediate and not different from either time point (P > 0.05). No treatment effect was observed for WBSF (P > 0.05) in fresh steaks, although a day effect was observed (P = 0.0219). Tenderness improved from day 23 to day 28 (P = 0.0219). A treatment × day interaction was also observed in purge loss of frozen steaks (P = 0.0027). Purge loss increased 1.9% between day 12 and day 23 for frozen Reg241 steaks (P < 0.0001) and 1.6% for Iso644 (P < 0.0001) but remained similar at day 28 (P > 0.05). Purge loss was not different for Reg644 steaks across all 3 time periods (P > 0.05). A day effect was observed for cook loss of frozen steaks (P = 0.0020). Cook loss decreased 2.31% from day 12 to day 23 (P = 0.0050) and 2.23% on day 28 (P = 0.0071).
Conclusion: Results indicate increased distance of transport and vibration exposure positively impacts meat quality attributes. Improvements in both water holding capacity through reductions in both purge and cook loss as well as beef color were observed in sirloin steaks and subprimals that experienced vibrations for longer distances. Ultimately, vibration isolation implementation during transport had minimal effect on sirloin cuts. Additional research is warranted to further confirm the impact of transport on meat quality.
Funding Source: Funded in part by The Beef Checkoff through the South Dakota Beef Industry Council and by state and federal funds appropriated to South Dakota State University, including support by the US Department of Agriculture National Institute of Food and Agriculture, Hatch Project (accession no. SD00H775)
Keywords: beef quality, vibration isolation, transportation.
87 Impact of Salt Block Utilization During Dry Aging on Pork Loin Microbial and Meat Quality
Cason Frisby1*, Morgan Denzer1, Cameron Catrett2, Peyton Arnold2, Stephanie Shimer2, and Derico Setyabrata2, 1Department of Food Science, University of Arkansas, Fayetteville, AR 72701, USA, 2Department of Animal Science, University of Arkansas, Fayetteville, AR 72701, USA *cfrisby@uark.edu
Introduction/Objectives: Pork is the most widely consumed meat in the world. Consumers desire high-quality pork and pork products. However, historical consumer trends favoring low-fat content have negatively impacted pork quality. Postmortem aging is commonly practiced in the meat industry to improve meat quality and palatability following harvest. This is often practiced as wet aging (WA), wherein muscle cuts are held in vacuum bags at refrigerated temperatures. Dry aging is a traditional aging method that has been regaining consumer interest because of its distinctive flavor and eating qualities following the process. Numerous studies have measured these aspects in dry-aged beef, but few studies have done so in pork. Furthermore, even fewer studies have focused on the effects of the widespread practice of using salt blocks in dry-aging chambers. The objective of this study was to investigate the effects of dry aging and salt block utilization on pork loin quality attributes.
Materials and Methods: Six pork loins from one side of the animal (M. longissimus lumborum) were collected at 7 d postmortem, cut into 3 equal sections, and randomly assigned to 3 groups for 28 d aging (WA, traditional dry aging [DA], and salt block dry aging [SDA]). The WA sections were vacuum packed individually and aged in waxed boxes at 2°C. Both DA and SDA sections were aged in dry-aging cabinets set at 2°C and 75% relative humidity. For SDA, salt blocks were placed in the cabinet following the manufacturer’s guidelines. Following aging, both DA and SDA sections were trimmed of their desiccated crusts. Microbiological samples were then taken from lean and crust/surface portions of all samples for aerobic plate counts (APC), lactic acid bacteria counts (LAB), yeast, and mold. All loin sections were cut into chops (2.54 cm) and subjected to meat quality and chemical analyses, including pH, water holding capacity, and Warner-Bratzler shear force (WBSF). Chops were also collected for a 7-d retail color simulation, with daily instrumental color evaluation using a Hunter Miniscan. Lipid oxidation was analyzed before and after the display. This study was a complete block design, in which the carcass served as a block and aging treatment as the fixed effect. Data were analyzed using the PROC GLIMMIX procedure of SAS, and least-squares means for all traits were separated at P value less than 0.05.
Results: At the end of aging treatment, meat pH was similar regardless of treatment (P > 0.05). DA and SDA loins reported greater water holding capacity as indicated by lower drip loss and cook loss compared with WA loins (P < 0.05). There was no difference in shear force values between aging treatments (P < 0.05). Lightness (L*) was not affected by the different aging treatments or display day (P > 0.05). Yellowness (b*) decreased throughout the display period (P < 0.05), regardless of the aging treatment. A significant treatment × day effect was observed for redness (a*), hue angle, and chroma, wherein both DA and SDA had greater hue angle and reduced redness and chroma compared with WA from day 5 until the end of display. A significant treatment effect was observed for APC and LAB, exhibiting a greater microbial count in both the lean and crust portions of the WA samples compared with the lean and crust portions of the DA and SDA samples. Lower yeast and mold concentration was observed on DA crust compared with WA and SDA crust (P < 0.05). No significant differences were observed on yeast and mold concentration of the lean portion of all treatments. Thiobarbituric acid reactive substances analysis of samples at day 0 and day 7 of retail color display showed both significant treatment and day main effects, with SDA showing greater lipid oxidation than DA and WA. During the dry-aging period, SDA cabinet exhibited lower humidity fluctuation (average 71.52, SD 4.7) compared with DA cabinet (average 70.76, SD 7.9).
Conclusion: The results of this study suggest that salt block utilization during dry aging only minimally impacts the final meat quality and microbiological attributes. Although the utilization of salt blocks generated a stabler dry-aging environment, minimal differences were observed between DA and SDA products. Further studies to investigate the impact on flavor volatile changes and consumer acceptance or preference following salt block dry-aging pork will be warranted.
Funding Source: This research is funded by the University of Arkansas Honors College.
Keywords: pork, dry aging, salt block dry aging.
88 Marination Properties of Broiler Breast Fillets Dipped in Peracetic Acid
Adalyn M. Hanning1*, Joaquin J. Esquivel2, Sarah E. Johnson2, Tomi Obe2, and Casey M. Owens2, 1Har-Ber High School, Springdale, AR 72762, USA, 2University of Arkansas, Fayetteville, AR 72701, USA *adalynhanning12@gmail.com
Introduction/Objectives: Peracetic acid (PAA) is commonly used in poultry processing as an antimicrobial during chilling and dip applications. Recently, boneless breast fillets have been dipped multiple times after deboning in order to ensure food safety. The objective of this study was to determine the effects of PAA on breast meat quality through storage and after marination.
Materials and Methods: In this study, broiler breast fillets (n = 225) were obtained after deboning and separated randomly into 5 groups: negative control (NC; no dip), water control (dipped once in water), PAA1 (dipped once in PAA), PAA3 (dipped 3 times in PAA), and PAA5 (dipped 5 times in PAA). Fillets were dipped for 15 s in water or PAA, and for treatments with multiple dips, a 90-s wait period was used in between dips. Each treatment was replicated 3 times (n = 45 per treatment over 3 replications). Fillets were stored for 48 h at 4°C and then vacuum tumble marinated (30 min) with a target pickup of 15% and a final concentration of 0.75% NaCl and 0.45% sodium phosphate. Fillets were cooked 24 h after marination. Fillet attributes including weight, pH, and color (L*, a*, b*) were measured before treatment on day 1 and at day 3 after treatment and storage (n = 45 per treatment over 3 replications) and again after marination. Drip loss, purge, cook loss, and overall cook yield (from initial weight) were calculated. Data in the completely randomized design were analyzed using analysis of variance. Means were separated with Tukey’s honestly significant difference using P < 0.05 to determine significance.
Results: There were no differences (P > 0.05) in initial weight pH or L*, a*, and b* among treatments. There was no difference (P > 0.05) in pickup percentage between water dip control (WC) and PAA1, but PAA3 and PAA5 had higher (P < 0.05) dip pickup percentage than WC and PAA1. PAA5 was higher (P < 0.05) than all treatments. Drip loss (storage of 2 d) followed a similar pattern among treatments (PAA 5 > PAA3, P < 0.05; NC > PAA1 and WC, P < 0.05). After storage, there was no difference (P > 0.05) in pH on day 2 among treatments. Dipping in PAA5 times resulted in higher (P < 0.05) L* than dipping in PAA3, PAA1, or water. Dipping in PAA (1 to 5 times) had higher (P < 0.05) L* than NC, and WC was intermediate. Dipping in PAA3 or PAA5 resulted in lower (P < 0.05) a* than PAA1, WC, or NC. Dipping in PAA1 had lower a* than NC but was similar to WC. There were no differences (P > 0.05) in b* values among treatments. After marination, PAA5 had lower marination pickup and lower purge (after 24 h) than all other treatments (P < 0.05), which were similar (P > 0.05). L* values tended to increase with increasing number of PAA dips even after marination. PAA5 had higher (P < 0.05) L* than all other treatments. PAA3 and PAA1 were similar (P > 0.05), and both were higher (P < 0.05) than NC, but PAA1 was similar (P > 0.05) to WC for L* value. WC and NC did not differ (P > 0.05) in L* value. PAA5 and PAA3 had a lower (P < 0.05) a* value than WC and NC. PAA1 was similar (P > 0.05) to both NC, WC, and PAA3 for a* value. There were no differences (P > 0.05) in cook loss (from marinated weight) among treatments. However, cook yield (pretreatment initial weight through cooking) was lower (P < 0.05) for PAA5 compared with all other treatments, which did not differ. PAA3 was lower (P < 0.05) in cook yield than NC but similar to WC.
Conclusion: Dipping in PAA multiple times can have negative impacts on quality attributes, specifically color (lightness) and quality attributes associated with marination may also be impacted. In this study, dipping broiler breast fillets 5 times in PAA resulted in lighter fillets with lower water holding capacity in terms of drip loss, lower marination pickup, and lower cooked yield of marinated fillets.
Funding Source: Novus International Professorship.
Keywords: peracetic acid, breast, marination, quality.
89 Impact of Aging, Cookery Method and Degree of Doneness on Improving Tenderness of Longissimus Lumborum Steaks From Mature Beef Cull Cows
Tessa A. Maurer* and Cody L. Gifford, Department of Animal Science, University of Wyoming, Laramie, WY 82071 USA *tmaurer1@uwyo.edu
Introduction/Objectives: The objective of this study was to evaluate the impact of objective tenderness of longissimus lumborum steaks from carcasses of mature cull cows due to different postmortem aging period, cookery methods, and degree-of-doneness targets.
Materials and Methods: Mature crossbred-Angus cull cows (n = 14; >42 mo of age that were fed primarily a long-term grass-hay diet) were harvested at the University of Wyoming Meat Laboratory. After carcass chilling, carcass characteristics consisting of ribeye area, fat thickness, marbling score, objective color, yield, and quality grade information were measured and recorded. Vacuum-packaged striploin portions were aged at 0°C to 4°C in dark storage for 14 d or 28 d. After completion of aging, 2.54-cm-thick steaks were fabricated, vacuum packaged, and frozen at −20°C until cooking occurred. Randomized steaks were thawed to 0°C to 4°C prior to cooking and tenderness evaluation. Steaks were cooked via combi oven (oven temperature = 204°C dry heat), 30-min sous vide, or 90-min sous vide cookery treatments to an internal temperature of 60°C or 71°C. Precook temperature, precook weight, cook time, postcook temperature, and postcook weight were recorded. Steaks assigned to the sous vide cookery method were repackaged in high-temperature vacuum bags prior to cooking in either 60°C or 71°C preheated water baths for 30 min or 3 h. Slice shear force (SSF) and Warner-Bratzler shear force (WBSF) were conducted on each cooked steak. Models included the fixed effects of cooking (oven, 30-min sous vide, and 90 minutes sous vide), peak internal temperature (60°C or 71°C), aging duration, and their interaction. Peak cooked temperature of each steak was included as a covariate. Data were analyzed using the lmer function from the lme4 package using R statistical software. Means were separated with Bonferroni adjusted pairwise comparisons using the emmeans package. Significant effects and pairwise comparisons were determined based on α less than or equal to 0.05.
Results: An interaction between cooking method and degree of doneness impacted (P < 0.0001) WBSF, in which steaks cooked via sous vide for 30 min to 60°C internal temperature were more tender than steaks cooked via oven to the same internal temperature. The main effect of aging duration resulted in lower WBSF (P < 0.0001) tenderness among steaks aged for 28 d compared with 14 d of aging. The main effect of degree of doneness resulted in lower SSF tenderness for steaks cooked to 60°C compared with 71°C. There was an interaction of cooking method and degree of doneness (P = 0.0152) that impacted cooking loss in which steaks cooked via sous vide for 30 min to an internal temperature of 60°C had the lowest cooking loss.
Conclusion: Short-term sous vide cooking of longissimus lumborum steaks from carcasses of cull cows for 30 min to an internal temperature of 60°C improved WBSF tenderness and reduced cook loss. Future planned work to assess the impact of these cookery methods on flavor development in addition to evaluating other drivers of tenderness will help to better characterize sous vide as a viable cookery option for muscles from carcasses produced by cull cows.
Funding Source: Internal funding.
Keywords: beef, sous vide, tenderness.
90 Effect of Varying Dip Frequency of Peracetic Acid on Quality of Broiler Tenderloins When Followed by Marination
Joaquin J. Esquivel1,*, Sarah E. Johnson1, Adalyn M. Hanning2, Tomi Obe1, and C. M. Owens1, 1University of Arkansas, Fayetteville, AR 72701, USA, 2Har-Ber High School, Springdale, AR 72762, USA *je043@uark.edu
Introduction/Objectives: Food safety is of utmost importance in broiler meat production. Antimicrobials such as peracetic acid (PAA) is used frequently in broiler processing and PAA dips are becoming more popular for use after deboning.This research aimed to evaluate the impact of varying dip frequency of peracetic acid on quality of broiler tenderloins when followed by tumble marination after antimicrobial treatment.
Materials and Methods: Tenderloins were randomly separated into 5 treatments: negative control with no dipping (NC), 1 water dip control (WC), 1 dip in PAA (PAA1), 3 dips in PAA (PAA3), and 5 dips in PAA (PAA5), using n = 45 per treatment over 3 replications. Each group was dipped for 15 s in 750 ppm PAA or water, and a 90-s wait period was used between multiple dips. The tenderloins were subjected to tumble marination with a vacuum of 21 mm Hg for 5 min and storage for 24 h. Marinade was formulated to a 0.75% NaCl and 0.45% sodium phosphate for final concentration using a targeted 15% marination addition. Tenderloin pH, color L*, a*, b*, percentage dip pickup (postdip), percentage marination pickup, percentage drip loss (after storage), percentage cook loss, and percentage cook yield (initial pretreatment through cooking) were assessed. Data were subjected to 1-way analysis of variance (P < 0.05). Means were separated using Tukey´s honestly significant difference (using P < 0.05 for significance).
Results: No difference (P > 0.05) was observed among treatments in initial pH, L*, a*, and b*. However, dipping tenderloins multiple times in PAA resulted in lower (P < 0.05) pH after storage compared to 1 dip in PAA, water, or the negative control dipping tenderloins multiple times in PAA. In addition, these treatments resulted in higher (P < 0.05) L* after storage compared with 1 dip in PAA, water, or the negative control. The a* values decreased in PAA3 and PAA5 (P < 0.05). PAA5 had a higher (P < 0.05) pickup after dipping compared with all other treatments. PAA1 and PAA3 had a higher (P < 0.05) marination pickup than PAA5. However, no significant differences (P > 0.05) were found for cook loss or cook yield among the treatments when marinating.
Conclusion: Results indicate that varying PAA dip frequency can decrease the pH, a*, pickup after dipping, and marination pickup. Different quantities of peracetic acid dips can impact color and water holding capacity before and after marination, resulting in a direct impact on meat quality.
Funding Source: Novus International Professor.
Keywords: peracetic acid, tenderloins, meat quality, dipping, marination.
Meat and Poultry Quality and Composition - Measurement and Prediction
91 A Comparison of Instrumental Camera Technologies on Predicting Intramuscular Fat Percentage
Will W. Boyd1*, Megan E. Eckhardt1, Willy J. Horne1, Bucky L. Gwartney2, Ty E. Lawrence1, Trent E. Schwartz1, and Loni W. Lucherk1, 1Department of Agricultural Sciences, West Texas A&M University, Canyon, TX 79016, USA, 2Agricultural Marketing Service, US Department of Agriculture, Washington, DC, USA *wboyd@startkleen.com
Introduction/Objectives: The consumer is continuing to demand higher-quality beef. According to the 2024 US Department of Agriculture (USDA) National Steer & Heifer Grading Report, cattle fed and harvested in the United States were 9.71% Prime, 72.14% Choice, 14.99% Select, and 3.17% lower grades. Previous research has documented that a higher-quality grade will correspond with a more satisfactory eating experience because of the increased percentage of intramuscular fat (%IMF) within higher grades. As carcass quality continues to increase, as a result of consumer demand, there is potential value in documenting the relationship between instrumental marbling score and %IMF. Therefore, the objective of this study was to document the relationship between instrumental technology marbling and chemically determined %IMF.
Materials and Methods: Beef ribs (USDA Institutional Meat Purchase Specifications no. 103; n = 24) representing 4 quality levels (USDA Prime, Premium Choice [High and Average Choice], USDA Choice, and USDA Select) were sourced from a commercial beef processing facility and transported to the West Texas A&M University meat laboratory. Ribs were assigned to 1 of 3 chilling temperatures (−2.2°C, 3.3°C, 8.9°C) using a completely randomized design, with equal representation of quality levels (grade) among temperature (2 ribs/grade/temperature). Rooms were set to the respective temperatures, and ribs were allowed 48 h to equilibrate. One-cm-thick slices were cut from the posterior end of each rib to simulate the ribbing and blooming process 4 sequential times. Rib surfaces simulated for ribbing (n = 96) were evaluated for objective image analysis marbling via 4 independent devices (E+V VBG 2000 [EV; US camera], E+V VBG Smart [EVH; portable camera], MEQ Camera [Australian camera], and MIJ Camera [Meat Image Japan camera]). Camera image marbling was collected across time after simulated ribbing (0.5, 2, 4, 6, 8, 10, 14, 18, 22, 26, 30, 38, 46, 60, 120, 240, and 480 min). Ribeye cross-section slices simulated for ribbing were frozen at 0°C until chemical fat analysis. Rib slices were processed leaving only the longissimus dorsi muscle. Following dissection, each steak was cut into 1-cm3 pieces and submerged into liquid nitrogen until all pieces were completely frozen. Frozen samples were removed using a stainless-steel skimmer, transferred into a professional blender, and pulverized for approximately 30 s on high speed (5,000 RPM) until a homogenous powder was formed. A 50-g aliquot of the homogenate was obtained for proximate analysis. Samples were labeled, placed in plastic bags, and stored until analysis at SDK Laboratory (Hutchinson, KS), where intramuscular fat was extracted using petroleum ether (AOCS Method Ba 3-38 2009). Data were analyzed using SAS (version 9.3; SAS Institute Inc., Cary, NC). The CORR procedure was used for calculating and determining significance (P < 0.05) of all correlation coefficients. Prediction equations for %IMF were determined using regression analysis (REG procedure). Slope equality was tested using a single degree of contrasts constructed in the general linear model procedure.
Results: Linear prediction equations for %IMF using instrumental marbling score outputs across all temperatures are contained in Table 1. At all temperatures, slopes of all instruments differed from the MIJ system (P ≤ 0.014). All other instruments (EV, EVH, MEQ) did not differ from one another (P ≥ 0.622) in the slope of prediction equations. At the coldest temperature (−2.2°C), though all relationships were highly positive, the highest coefficient of determination was derived from the MIJ system (R2 = 0.887), indicating 88.7% of the variation in %IMF is accounted for by the objective output of marbling score. Alternatively, the lowest coefficient of determination was obtained from the EVH device (R2= 0.714), only explaining 71.4% variation in %IMF, which notably was the only system at −2.2°C to not surpass an 80% threshold of explaining the variability in %IMF. The highest coefficient of determination at 3.3°C was obtained from the MEQ system (R2 = 0.770), indicating 77% of the variation in %IMF is accounted for by the objective device output of marbling score. Divergently, the lowest coefficient of determination was derived from the MIJ device (R2= 0.687), only explaining 68.7% variation in %IMF, which is completely inverse compared with −2.2°C, wherein the MIJ system reported the highest R2 value. The highest coefficient of determination at 8.9°C was obtained from the EV system (R2 = 0.694), indicating 69.4% of the variation in %IMF is accounted for by the objective device output of marbling score. Inversely, the lowest coefficient of determination was derived from the MIJ device (R2 = 0.552), only explaining 55.2% variation in %IMF, which corresponds with the findings from 3.3°C, in which the MIJ system also had the lowest R2 value. The MEQ instrument has a predicted %IMF output in the system that was reported in this study. The following predicted outputs at all temperatures were correlated with actual chemical %IMF. At the coldest temperature (−2.2°C), the correlation coefficient was r = 0.949 (P < 0.001); at the intermediate temperature (3.3°C), the coefficient was r = 0.890 (P < 0.001); and at the warmest temperature (8.9°C), the coefficient was r = 0.780 (P < 0.001). There was a cascading effect indicating that the strongest correlation occurred at the coldest temperature (−2.2°C), followed by the intermediate temperature (3.3°C), and lastly, the warmest temperature (8.9°C), which was the least correlated. These data suggest that colder ambient cooler temperatures will allow for the most accurate %IMF evaluations with the MEQ instrument.
Conclusion: Results indicate instrumental marbling scores are a viable tool in predicting %IMF. Furthermore, the MEQ instrument’s %IMF output provides an accurate prediction for actual %IMF. A deeper understanding of the capability of instrumental cameras to predict %IMF is necessary to determine their accuracy. Additionally, continued comparative evaluations of multiple commercially available and emerging beef camera grading technologies are necessary to determine differences in accuracy and repeatability under standardized conditions.
Linear regression equations of instrumental camera systemsa at varying temperatures based on marbling scoreb as the predictor percentage of intramuscular fat
| Equation | R2 | P Value | Root MSEd | |
|---|---|---|---|---|
| −2.2°C | ||||
| EV | %IMF = −3.80648 + 0.01551 × Marbling Score | 0.808 | <0.001 | 1.573 |
| EVH | %IMF = −4.60804 + 0.01766 × Marbling Score | 0.714 | <0.001 | 1.923 |
| MEQ | %IMF = −5.14684 + 0.01845 × Marbling Score | 0.875 | <0.001 | 1.268 |
| MIJ | %IMF = −8.37059 + 0.02508 × Marbling Score | 0.887 | <0.001 | 1.207 |
| 3.3°C | ||||
| EV | %IMF = −4.22600 + 0.01661 × Marbling Score | 0.767 | <0.001 | 1.236 |
| EVH | %IMF = −4.17821 + 0.01685 × Marbling Score | 0.740 | <0.001 | 1.305 |
| MEQ | %IMF = −4.65322 + 0.01787 × Marbling Score | 0.770 | <0.001 | 1.226 |
| MIJ | %IMF = −10.28175 + 0.02974 × Marbling Score | 0.687 | <0.001 | 1.431 |
| 8.9°C | ||||
| EV | %IMF = −0.39359 + 0.01168 × Marbling Score | 0.694 | <0.001 | 1.182 |
| EVH | %IMF = −1.09696 + 0.01349 × Marbling Score | 0.689 | <0.001 | 1.191 |
| MEQ | %IMF = −1.55635 + 0.01369 × Marbling Score | 0.660 | <0.001 | 1.245 |
| MIJ | %IMF = −5.56366 + 0.02291 × Marbling Score | 0.552 | <0.001 | 1.430 |
Instrumental camera systems: EV = E+V VBG 2000; EVH = E+V Smartphone handheld device; MEQ = Australian meat grading camera; MIG = Meat Image Japan camera.
Marbling score: 300 (Slight/Select), 400 (Small/Choice), 500 (Modest/Average Choice), 600 (Moderate/High Choice), 700 (Slightly Abundant/Low Prime), 800 (Moderately Abundant/Average Prime), 900 (Abundant/High Prime), 1000 (Very Abundant/High Prime).
Percentage of intramuscular fat = %IMF.
Root MSE = Root mean square error.
Funding Source: Funded by the USDA Agricultural Marketing Service (AMS).
Keywords: beef, image analysis, instrument, marbling.
92 Development of a Shelf-Stable Proxy for Camera-Based Grading Systems
Anna G. Hilton* and Jessie C. Morrill, Department of Animal Science, University of Nebraska–Lincoln, Lincoln, NE 68588, USA *ahilton7@unl.edu
Introduction/Objectives: The American Meat Science Association’s US Department of Agriculture (USDA) Grading Committee has identified the need for a device that can be used to verify that various camera grading systems produce consistent readings. To fulfill this need, we developed and characterized a shelf-stable proxy device with the aim that it could be used in place of meat to validate readings across and within grading camera equipment. Our objective was to optimize proxy raw material formulations so that the proxy could be utilized for validating camera readings related to amount of intramuscular fat, ribeye area, 12th-rib fat thickness, and lean and fat color in camera grading scenarios.
Materials and Methods: The proxy was 3D printed in white epoxy resin and filled with a shelf-stable petroleum derivative. The “lean” and “fat” proxy substances were dyed using organic chemicals that were chosen to imitate beef lean and fat color values, respectively. The proxy color values were assessed using a calibrated chroma meter set to the D65 illuminant (CR-400; Konica Minolta; Ramsey, NJ), which provided CIE color space values (L*, a*, and b*). Proxy dimensions were scaled using 3D print–rendering software and were validated manually with a ribeye dot grid and USDA preliminary yield grade ruler. Proxy intramuscular fat content was quantified in photographs using Image J software. Briefly, photographs were taken of the proxy in a photo studio light box under controlled lighting using a Canon Rebel T3. Photographs were saved in.CR2 format and were converted to.tif files using Adobe Photoshop. The.tif files were then imported into ImageJ and were processed using a series of macros, wherein the output was ribeye area, fat thickness, and percentage intramuscular fat, in pixels, within the proxy “ribeye.” A simple linear regression and Pearson correlation were performed using R (version 4.0) and R Studio (tidyverse version 1.3.0, nlme, version 3.0) to determine the relationship between number of marbling pieces within the proxy and percentage intramuscular fat, in pixels.
Results: The shelf-stable proxy has a ribeye area of approximately 90 cm2 and a variable fat thickness that ranges from 1 to 1.5 cm, depending on the exact measurement location. The ribeye area and fat thickness of the proxy can be validated using ImageJ or conventional dot grids or probes. The material selected for the proxy’s ribeye has L*, a*, and b* values of approximately 50, 22, and 13, respectively. The material selected for the proxy’s subcutaneous fat and marbling has L*, a*, and b* values of approximately 80, 0, and 15, respectively. When the number of marbling pieces in the proxy is known and the size of each marbling piece is controlled, the percentage intramuscular fat in pixels is highly correlated and predictable (P < 0.001; r > 0.99).
Conclusion: Although color and moisture properties of beef are extremely difficult to mimic in a shelf-stable object, the proxy developed in this study has objective color values that closely resemble those of fresh beef. The color properties, sizing, and marbling attributes of the proxy can easily be adjusted for specific research needs or industry questions. Our future research will include determining whether the proxy can be recognized and measured by commercial beef grading cameras. Because the proxy is a 3D object, there may also be future opportunities for it to be utilized as a hands-on learning tool for teaching beef grading skills, such as measuring ribeye area and fat thickness with dot grids and probes.
Funding Source: This research was supported by the American Meat Science Association.
Keywords: beef, camera grading, proxy, color.
Meat and Poultry Quality
93 Exudate-Based Microbial Analysis for Monitoring Muscle-Specific Microbial Dynamics During Aging
Maha Abdelhaseib*, Jinkyu Seo, and Yuan H. Brad Kim, Department of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA *maha@purdue.edu
Introduction/Objectives: Microbial spoilage is a significant food waste issue costing the US meat industry millions annually, as consumers reject discolored, odorous, or slimy meat. To reduce losses, the industry needs rapid tools for spoilage assessment and shelf-life prediction. Meat exudate, a nutrient-rich byproduct, shows promise as an analytical matrix, yet its microbial dynamics remain largely unexplored. Postmortem aging is a common industry practice, as it improves meat palatability attributes, particularly meat tenderness. Fresh beef muscles with different background toughness require different aging times. As spoilage extent may differ by muscle type, it is crucial to determine whether these differences are reflected in meat exudate. The objective of this study was to characterize microbial shifts in meat exudate during aging, focusing on muscle-specific spoilage patterns and microbial community changes under spoilage conditions.
Materials and Methods: At 1 d postmortem, pairs of 3 muscles including longissimus lumborum (LL), semimembranosus (SM), and infraspinatus (IF) were collected from 15 beef carcasses (US Department of Agriculture Choice). Each pair was sliced into 8 steaks, vacuum sealed, and aged at 1°C ± 0.2°C (control) or 10°C ± 0.2 °C (spoilage condition) for 1, 14, 21, or 35 d in a temperature-controlled room. After aging, exudate and tissue samples were aseptically collected for microbial analysis, including aerobic plate count (APC), lactic acid bacteria (LAB), Pseudomonas, and Enterobacteriaceae. The beef cuts were displayed under light for 7 d, and instrument color measurements were conducted throughout the display time. Data were analyzed using PROC GLIMMIX in SAS 9.4 with Tukey’s test (P < 0.05) for mean separation.
Results: There was significant interaction between muscle type, aging time, and storage temperatures in all microbial measurements in both tissue and exudate. In particular, muscle-specific effects were observed in APC, LAB, Pseudomonas, and Enterobacteriaceae in exudate, whereas only Pseudomonas and Enterobacteriaceae in tissue showed muscle-specific effects. Briefly, APC and LAB counts increased across all conditions, peaking at 35 d, with significantly higher counts at 10°C. In meat tissue, LAB stabilized after 21 d at 10°C. Similarly, Pseudomonas and Enterobacteriaceae counts significantly increased in both tissue and exudate until day 21, corresponding to the bacterial exponential phase, and then stabilized at day 35, aligning with the stationary phase. Notably, exudate consistently mirrored tissue trends. Muscle-specific effects were evident on day 14 at 1°C, with the highest counts in IF, the lowest in LL, and intermediate levels in SM for both exudate and tissue. No differences were observed at 10°C or in later stages. Display color was significantly affected by the interaction of muscle type, aging time, and storage temperature. The IF muscle had the lowest color stability based on a* and chroma, the LL muscle had the highest, and the SM muscle showed intermediate stability. These variations may be attributed to spoilage bacteria growth, which accelerates myoglobin oxidation, leading to redness loss and discoloration. These findings suggest muscle-specific mechanisms influencing bacterial growth and contributing to muscle-dependent discoloration in beef.
Conclusion: The results of the study found the different extent of spoilage occurred in different beef muscles during aging under spoilage conditions. In particular, beef exudate evaluation demonstrated similar muscle-specific patterns, suggesting its potential as an analytical medium for identifying muscle-specific spoilage trends. Ongoing research aims to profile metabolites in both beef exudate and muscle tissue to determine biochemical signatures associated with muscle-specific spoilage.
Funding Source: US Department of Agriculture (USDA)–Agriculture and Food Research Initiative (AFRI) National Institute of Food and Agriculture (NIFA) (2023-67017) Grant.
Keywords: spoilage, exudate, APC, muscle specific.
Meat and Poultry Quality and Composition - Measurement and Prediction
94 Prediction of Intramuscular Fat Content of Beef Longissimus Muscle
Kyra L. Elliott1*, Bucky L. Gwartney2, Willy J. Horne2, and Jessie C. Morrill1, 1Department of Animal Science, University of Nebraska – Lincoln, Lincoln, NE 68588, USA, 2Agricultural Marketing Service, US Department of Agriculture, Washington, DC 20250, USA *kelliott12@unl.edu
Introduction/Objectives: Beef grading camera systems are widely utilized to assist with assignment of US Department of Agriculture Quality Grades to beef carcasses in commercial packing facilities. As imaging methods continue to evolve and new imaging systems emerge, understanding how camera grading measurements align with chemically verifiable measurements will continue to be important. In this study, our objective was to determine percentage fat and moisture values for beef longissimus muscle in comparison to marbling scores assigned by 2 beef grading camera systems. An additional objective was to determine whether an open-source imaging software could be utilized to objectively quantify percentage intramuscular fat in digital images of beef longissimus muscle.
Materials and Methods: Untrimmed beef ribs, oven-prepared (Institutional Meat Purchase Specifications #107; n = 78), representing a range of marbling scores, were obtained from a commercial beef processing facility and were transported to the University of Nebraska–Lincoln. Ribs were collected to represent a range of marbling scores between slight and moderately abundant. Rib subprimals were intentionally not aged prior to the start of the trial to minimize changes in lean color and texture properties between grading in the commercial plant and laboratory analyses. On the day of measurement, the posterior end of each subprimal was refaced, and a 3.81-cm-thick steak was cut. Each steak was scraped to be practically free of bone dust and allowed to bloom for 30 min. The steaks were then imaged with an E+V GigE grading camera, an MEQ grading camera, and a Canon Rebel T3 digital camera. Digital images of the steaks were captured in a photo light studio box equipped with an internal 3500K LED light, providing consistent and controlled lighting conditions. Digital camera images were processed using ImageJ software to quantify percentage intramuscular fat by separating lean and fat pixels within the longissimus muscle. After imaging, steaks were frozen at −20°C until analysis. Steaks were then powdered and assessed for fat and moisture content; to determine fat content, total lipids were extracted in chloroform: methanol, using a modified Folch method. Simple linear regressions and Pearson correlation coefficients were calculated using R (version 4.0) and R Studio (tidyverse version 1.3.0, nlme, version 3.0); relationships were considered significant when P value was less than 0.05.
Results: As expected, chemically extractable fat is positively correlated with E+V GigE and MEQ marbling scores (P < 0.001; r > 0.73), and regression equations had R2 values of 0.66 and 0.53, respectively. Chemically extractable fat ranged from 1.75 to 8.60 in our study. The ImageJ model was also highly significant (P < 0.001; r = 0.84) and had an R2 value of 0.7. When E+V GigE marbling score is known, the equation for determining percentage extractable fat is equal to: (0.0083 × numeric marbling score) – 0.43. When MEQ marbling score is known, the equation for determining percentage extractable fat is equal to: (0.011 × numeric marbling score) – 2.4. Likewise, the equation for determining percentage extractable fat when percentage of intramuscular fat pixels is determined using ImageJ is equal to: (0.55 × percentage marbling pixels) + 1.4. The MEQ grading camera also estimates percentage intramuscular fat, which was correlated to extractable fat (P < 0.001; r = 0.66), but estimates of percentage intramuscular fat were numerically higher than what was measured chemically. This relationship is reflected in the equation: (0.36 × MEQ percentage intramuscular fat) + 1.6. The R2 value for this equation is 0.43.
Conclusion: Beef grading camera marbling scores and ImageJ estimates of marbling can be used to estimate chemically extractable fat content, but users should be aware that marbling estimates from each system are calculated through different mechanisms, which are often proprietary. In this study, even when the same steaks were imaged, different marbling scores resulted. In this study, the range of marbling scores for the E+V GigE camera were 281 through 992, whereas the range in marbling scores for the MEQ camera was 383 to 904. When accurate measurements of intramuscular fat content are needed, chemical extraction should still be utilized. Additional work should be conducted in this area to further optimize equations.
Funding Source: This research was funded by the US Department of Agriculture Agricultural Marketing Service.
Keywords: beef, camera grading, intramuscular fat.
Meat and Poultry Quality
95 Impact of Controlled Atmosphere and Electrical Stunning Coupled With Water Immersion and Air Chilling on Muscle-Specific Meat Quality During Retail Display Storage
Rishav Kumar*, Zahidul Hasan Tushar, Matthew Hughes, Shijinaraj Manjankattil, Matthew Bailey, and Dianna Bourassa, Auburn University, Auburn, AL 36849, USA *rzk0108@auburn.edu
Introduction/Objectives: Animal welfare concerns have resulted in a shift toward controlled atmosphere stunning (CAS) as an alternative to commonly used electrical stunning (ES) for broiler chickens. However, CAS has been shown to result in a more rapid meat pH decline postmortem. Water immersion chilling and air chilling are used to reduce carcass temperature and minimize microbial growth. However, a slower cooling rate for air chilling can result in greater pH decline postmortem. Therefore, we hypothesized that different rates of pH decline in ES and CAS coupled with air or water cooling will impact the muscle-specific effect during retail display storage. Retail displays and lights within cases influence consumer attraction while purchasing meat. However, these lights also enhance light-induced oxidation during retail storage. The objective of this study was to compare effects on pH, color stability, lipid oxidation, drip loss, shear force, and microbial count during retail display storage.
Materials and Methods: The experiment was conducted at Charles C. Miller Jr. Poultry Research and Education Center at Auburn University. For trials, 60 birds were used. Either CAS or ES were conducted, with poststunning procedures adhering to standard industry practices. For ES, birds were removed from their transport crates, shackled, electrical water bath stunned at 20 mA/bird for 12 s, mechanically neck cut, bled for 240 s, hard scalded at 54°C for 160 s, and then defeathered for 35 s. For CAS, birds were stunned in their transport crates by exposure to increasing concentrations of CO2 within 5 phases from 20% to 85% over the course of 6 min with O2 added to achieve 21% during the first 90 s. After the CAS process, the same processing parameters as ES birds were used. Following defeathering, carcasses continued through evisceration, and then half of the birds were ice water immersion chilled (IC) for 2 h, and half were air chilled (AC) at 4°C for 3 h, then deboned for each treatment, resulting in 4 treatments: CAS/IC (n = 15), CAS/AC (n = 15), ES/IC (n = 15), and ES/AC (n = 15). This 2 × 2 design resulted in 4 treatments defined as CAS/IC, CAS/AC, ES/IC, and ES/AC. The skinless breast fillets and boneless, skinless thighs were weighed, sealed in a zip-top bag, and placed on ice within a cooler for subsequent evaluation of proximate analysis, pH, color (L*, a*, b*, hue, chroma), lipid oxidation (mg MDA/kg), drip loss (%), shear force (N) and aerobic bacteria levels (log 10 CFU/mL) at 24 h postdeboning for day 0 analysis. Fillets and thighs used for retail light display (3,000 lux) were placed into Styrofoam trays, overwrapped with polyvinyl chloride film, and placed into simulated retail display storage for 7 d. On day 7, samples were analyzed for pH, color, lipid oxidation, drip loss, shear force, and aerobic bacteria. The experiment design was a completely randomized design (n = 15 per treatment). All data were analyzed using the GLIMMIX procedure in SAS, with significance at P < 0.05.
Results: There was no difference between treatments for protein in fillets, whereas CAS fillets had the least moisture percentage (P < 0.001). Both stunning and chilling methods impacted fillet and thigh pH and color after deboning. For fillets and thighs, CAS had higher pH than ES (P < 0.001). For fillets, hue was lower and chroma was higher for CAS than ES (P ≤ 0.034). However, CAS thighs were lighter, yellower, and higher hue than ES thighs (P ≤ 0.044). IC fillets had higher pH than AC (P < 0.001). IC resulted in higher thigh pH, lightness, and hue than AC (P < 0.001). Both fillets and thighs had interactions between stunning and chilling methods for redness. Fillets from CAS/IC were the reddest (P = 0.004), whereas thighs from ES/AC were the reddest (P < 0.001). After 24 h, AC fillets had higher chroma than IC (P = 0.018). There was an interaction between stunning and chilling for fillet pH in which ES/AC was the highest and CAS/AC was lowest (P < 0.001). ES thighs were lighter than CAS thighs (P = 0.025), and both redness and hue had stunning and chilling interactions. CAS/AC thighs were redder than ES/AC thighs (P = 0.025), whereas CAS/IC had higher hue than CAS/AC (P = 0.016). CAS fillets had less lipid oxidation than ES (P = 0.013), but thighs had more lipid oxidation from CAS than ES (P = 0.033). Thighs also had higher lipid oxidation from IC compared with AC (P = 0.001). Thigh drip loss was higher for CAS than ES (P = 0.019) with no difference in fillets. ES fillets had lower shear force (P < 0.001) compared with CAS, whereas IC had lower shear force than AC (P = 0.023). After the 7 d of retail display, CAS/AC had the highest pH (P < 0.001), whereas ES/IC thighs had greater pH (P < 0.001). There was no effect of stunning and chilling on fillet and thigh drip loss. For color stability, ES/IC breast fillets had greater L* (P < 0.001), and CAS/AC had lower b* (P = 0.009), whereas CAS/AC had more chroma (P < 0.001). However, CAS/AC thighs had a greater a* (P = 0.007), whereas CAS/IC had more hue value (P = 0.006) after display storage. Lipid oxidation was greater (P = 0.016) in AC chilled fillets with no difference in stunning method. There was no significant effect of stunning or chilling in thighs. AC fillets had higher (P = 0.004) shear force after retail display storage, whereas ES/AC thighs had greater (P = 0.027) shear force. On day 0, breast fillets had no significant effect of stunning as well as chilling on aerobic plate counts, whereas after 7 d, CAS/IC had the lowest aerobic plate counts (P = 0.002).
Conclusion: This study examined the impact of broiler breast fillet and thigh stunning and chilling combinations at 24 h and 7 d of storage on poultry meat quality during retail display. For breast fillets, CAS combined with IC (CAS/IC) proved optimal, yielding higher pH, reduced lipid oxidation, lower shear force, and improved microbial stability, alongside enhanced color retention (lower hue, higher chroma). In contrast, thighs processed via CAS exhibited higher lipid oxidation and drip loss, suggesting ES paired with AC (ES/AC) as preferable for minimizing oxidative degradation, although CAS/AC thighs demonstrated superior color attributes (higher redness and hue). Future research must focus on metabolic profiles of CAS/ES coupled AC/IC chilling methods that provides more valuable insights about muscle-specific effects of stunning and chilling during retails display storage, and along with this, more research could explore whether informing consumers about the stunning methods influences their acceptance in sensory attributes between electrical- and gas-stunned chicken.
Funding Source: This work was supported by the United States Department of Agriculture Agricultural Research Service, Athens, GA (project number 6040-42440-001-011-S); the Alabama Agricultural Experiment Station; and the Hatch Program of the National Institute of Food and Agriculture, US Department of Agriculture.
Keywords: quality, stunning, retail, chilling, muscle-specific.
96 Effects of a High-Sugar or High-Protein Diet on Carcass Composition, Proximate Composition, and Shelf-Life Indicators in Biomedical Swine Models
Shelby E. Raber1*, Emily R. Barr1, Kemsley Gallegos1, Jeremy L. Burkett2, Hannah C. Cunningham-Hollinger1, and Cody L. Gifford1, 1Department of Animal Science, University of Wyoming, Laramie, WY 82071, USA, 2School of Science, Department of Agriculture, Casper College, Casper, WY 82601, USA *sraber1@uwyo.edu
Introduction/Objectives: The objective of this study was to compare the impacts of feeding a Western-style diet (WSD) or a high-protein (HP) diet adapted for swine based on human dietary macronutrient targets to evaluate the impact of diet on muscling and body composition, crude fat and muscle chemistry attributes, and objective muscle color to better understand the impact of diet on physiological growth during specific growth phases using swine as a biomedical model.
Materials and Methods: Duroc × Landrace × York crossbred pigs were randomly assigned to dietary treatments during 2 phases of the study. During phase 1, pigs (n = 30) started acclimating to an adapted HP or WSD at a mean body weight of 45 kg and remained on each diet for 8 wk. After 8 wk on each diet, a subsample (n = 5/treatment group) were harvested at the University of Wyoming Meat Laboratory to evaluate physiological impacts of diet. During phase 2, remaining pigs were assigned to diets consisting of 8 additional weeks of HP, 8 additional weeks of WSD, HP to WSD, or WSD to HP. Following harvest, carcass quality metrics, muscle tissue samples, muscling metrics, empty organ weights, and adipose tissue deposition at the 1st, 3rd, 5th, 7th, 10th, and lumbar regions were collected. Objective color measurements (L*, a*, b*) were measured during a 7-d display period. Loin samples fabricated into 2.54-cm-thick portions were frozen for subsequent analysis and frozen. Specified loin samples were homogenized and stored at –80°C for muscle chemistry analysis, including proximate analysis. R statistical software was used to analyze data. The lm function from the lme4 package was used to evaluate the fixed effects of diet. Significant treatment means were separated with Tukey’s adjusted pairwise comparisons using the emmeans package. An α less than or equal to 0.05 was used to determine significant effects and pairwise comparisons.
Results: Diet did not impact (P > 0.05) final live weight in either phase 1 or phase 2. During phase 1, pigs fed the WSD had greater hot carcass weight (HCW; P = 0.0205) than pigs fed the HP diet. There was no impact of diet on HCW during phase 2. Measurements of loin eye area and 10th-rib fat thickness were not impacted (P > 0.05) by diet during phase 1 or phase 2. During phase 1, pigs fed the WSD for 8 wk had greater last-rib fat (P = 0.001) than other treatments, but diet did not impact (P > 0.05) this fat metric in phase 2. Loin samples from pigs fed HP for 8 wk followed by WSD for 8 wk and pigs fed the HP diet for 16 wk had greater (P = 0.0164) redness values. Crude fat was greater (P = 0.0266) among loin samples from pigs fed a WSD for 16 wk than pigs that started on a HP diet and switched to a WSD diet during phase 2.
Conclusion: A WSD impacts composition of muscle and fat metrics, muscle chemistry, and objective color differences in biomedical swine during prepubertal and postpubertal growth phases. Additional research is needed to determine whether major impacts earlier in the animals’ growth phases program composition and health outcomes more than surrounding puberty.
Funding Source: Wyoming IDeA Networks of Biomedical Research Excellence (INBRE) Network for Biomedical Research Excellence.
Keywords: diet quality, swine, biomedical.
Meat and Poultry Quality and Composition - Measurement and Prediction
97 Correlations Between Different Shear Devices in Measuring Texture of Various Pork Loins
Marta Rodríguez-Fernández1, Isabel Revilla1, Chaoyue Wang2, Ana M. Vivar-Quintana1, and Shai Barbut2*, 1Universidad de Salamanca, Zamora, Spain, 2University of Guelph, Guelph, Canada *sbarbut@uoguelph.ca
Introduction/Objectives: Among the available methods for measuring meat texture, the Warner-Bratzler shear force (WBSF) test has historically been the most widely used worldwide because of its reputation for evaluating tenderness. However, the National Cattlemen’s Beef Association currently recommends the slice shear force (SSF) test, as it provides faster analysis. In this method, samples are shared just after cooking, allowing for a more precise identification of tenderness differences. In recent years, alternative techniques have emerged, including the Meullenet-Owens razor shear (BMORS) test, recognized as the fastest, precise, and simplest method for evaluating poultry meat tenderness. However, despite its advantages, its application to pork meat remains limited. This study aimed to compare the effectiveness of new methodologies, such as BMORS, with traditional methods (WBSF and SSF) in evaluating meat tenderness across different pork meat sources; establish correlations between the parameters obtained; and determine the viability and accuracy of evaluating pork loin meat.
Materials and Methods: A total of 342 pork loin samples from 13 different groups were selected. The animals analyzed represent different breeds, management systems, and diets. Pork loin samples between T9 and T13 (longissimus thoracis), with a thickness of 3.5 cm, were kept at 4°C for 72 h, and then vacuum packed, frozen, and stored at −20°C for up to 3 mo. Samples for hot analysis were grilled (plate-grill KGJ442, GGM Gastro Inter., Ochtrup, Germany) preheated to 200°C. When the center reached 40°C, the samples were turned over until reaching 68°C, removed from the grill, and allowed to reach 70°C internally. Samples were also analyzed at refrigerated temperature 4°C after 6 h of storage. For WBSF analysis, 6 cylindrical portions (1.27-cm diameter) were obtained parallel to the muscle fiber direction and later sheared in the perpendicular direction of the fibers using a 2.97-mm-thick Warner-Bratzler blade. For SSF analysis, a kit was used to cut 2 portions from the each slice, which were sheared using a flat blade (70 mm wide; 1,168 mm thick) with a half-round beveled cutting edge. BMORS analyses were performed at 6 different points along the entire slice surface with a blunt blade (9 mm wide; 0. 42 mm thick) positioned at 90° to the surface. Both WBSF and SSF blades were attached to a TA-XT2i texturometer (Texture Technologies, Hamilton, MA) using a crosshead speed of 2 mm/s, whereas BMORS used a crosshead speed of 10 mm/s. WBSF and BMORS were performed on both hot and room-temperature samples and SSF only on hot samples. The values recorded were shear force, which is the maximum force recorded (N), and work, which is the area under the force-strain curve (N × mm) from the start of the test to the maximum force. Correlations between the different parameters were studied using a 2-tailed Pearson significance correlation.
Results: A pairwise Pearson correlation analysis was carried out to evaluate the significant relationships between texture parameters obtained by different measuring devices and probes. First, the maximum force obtained by the SSF device (only applied to hot grilled samples) showed a significant correlation with the force obtained after WBSF test of both hot samples (0.256; P < 0.01) and cold samples (0.329; P < 0.01). Furthermore, SSF work showed significant correlations with WBSF work; for cold cooked samples (0.678; P < 0.01) and hot grilled samples (0.504 P < 0.01), the coefficient values were higher than those found for the force values. As for the WBSF probe, significant correlations were identified for the maximum force of cold samples with that of hot samples (0.362, P < 0.01) and also between hot samples WBSF work and cold samples WBSF work (0.663, P < 0.01). This suggests a correlation resulting from the mechanical resistance of the meat fibers’ weave when evaluated at different temperatures. Both methods captured related mechanical characteristics of the sample, although with different sensitivities depending on the temperatures, as was also previously reported by other studies. The results obtained by using the BMORS probe on hot samples showed positive correlations between force and the WBSF parameters (force and work) in both cold samples (0.279 and 0.268; P <0.01) and hot samples (0.225 and 0.369; P < 0.01). Similar correlations were found for both force (0.264; P < 0.01) and work (0.264 and 0.238; P < 0.01) obtained for the SSF test. The BMORS work showed the same type of positive correlations—that is, with both force and work obtained after applying WBSF and SSF but with lower Pearson coefficients values. The BMORS test applied to cold cooked samples showed significant and higher correlations for both BMORS force and work, with the work of other test. Thus, the correlations with the WBSF work of cold samples were 0.411 and 0.649 (<0.01) for BMORS force and BMORS work respectively, whereas for the WBSF work of hot samples, the values were 0.417 and 0.489 (P < 0.01) for force and work, respectively. The correlation values with the SFF work were: 0.513 (P < 0.01) with force and 0.681 (P < 0.01) with work. Overall, the correlations were higher for BMORS work than for BMORS force in all cases. The BMORS results indicate a strong association between BMORS texture parameters and other shear test parameters, but under specific thermal conditions.
Conclusion: Results of the study indicated that methods of sample preparation and probe used have a determining influence on the evaluation of meat texture. The BMORS test applied to cold, cooked samples showed the strongest correlations for both force and work with other texture parameters. This suggests their suitability for evaluating the mechanical force of the meat tissue under these conditions. On the other hand, when the BMORS test was performed on hot samples, fewer significant correlations were found. Having established correlations between SFF and BMORS in cold samples meant that they provide similar information and could be used as an alternative for texture evaluation, especially because of their speed and simplicity. This study showed the possibility of optimizing the selection of instrumental techniques according to available analytical conditions.
Funding Source: Universidad de Salamanca, Zamora, Spain.
Keywords: SSF, BMORS, WBS, pork, texture.
Meat and Poultry Quality
98 Influence of Retail Display Case Conditions and Packaging Types on Palatability of Fresh Beef Steaks From 3 Different Muscles
Stephanie Shimer1*, Sarah Shoup1, Elizabeth Neal2, Janeal Yancy1, Morgan Denzer3, Derico Setyabrata1, Jerrad legako2, Kelly Vierck1, 1Department of Animal Science, University of Arkansas, Fayetteville, AR 72701, USA, 2Department of Animal and Food Science, Texas Tech University, Lubbock, TX 79409, USA, 3Department of Food Science, University of Arkansas, Fayetteville, AR 72701, USA *sshimer@uark.edu
Introduction/Objectives: Sustainability is becoming an increasing concern to both retailers and consumers of fresh meat products. Energy efficiency can be improved by the addition of doors to fresh meat retail display cases. However, little is known regarding the effects of retail display cases on beef quality attributes, particularly palatability. The objective of this study was to determine the influence of retail case type, muscle, and package scheme on consumer perception of tenderness, juiciness, and flavor of fresh beef steaks.
Materials and Methods: Paired beef striploins, eye of rounds, and top sirloin butts were selected from US Department of Agriculture (USDA) Low Choice carcasses (n = 20). Subprimals were wet aged for 14 d in dark storage. Following aging, subprimals were fabricated into 2.54-cm steaks (n = 18 steaks per subprimal), representative of the gluteus medius (GM), longissimus lumborum (LL), and semitendinosus (ST) steaks. Each steak was randomly assigned to 1 of 3 packaging schemes, including modified atmosphere packaging (MAP), polyvinyl chloride overwrap (OW), or vacuum (VAC). MAP steaks were immediately packaged into a traditional PVC overwrap tray and stored in a mother bag (31.1% CO2, 0.4% CO, and 68.5% N). OW steaks remained in vacuum packaging until further processing before retail display. Steaks were transported under refrigerated temperatures (0–4°C) to the University of Arkansas Red Meat Abattoir (Fayetteville, AR). Steaks were aged for an additional 7 d in the dark (0–2°C) before further processing. After storage, OW were repackaged into polyvinyl chloride overwrap, and MAP steaks were removed from mother bags. All steaks were randomly assigned to either an open-fronted multideck case and a closed-door case. After the retail display period, all steaks designated for consumer panel analysis were vacuum packaged and frozen. Steaks were transported to Texas Tech University while frozen (<0°C) for consumer analysis. The samples were cooked on a clam-shell grill to an internal temperature of 71°C and cut into 2.54 × 1 × 1 cm3 cubes. Panelists (n = 360) were asked to rate tenderness, juiciness, flavor, and overall liking on a scale of 0 (dislike extremely) to 100 (like extremely). Panelists determined acceptability of palatability traits and overall liking for consumed samples. An exit survey was conducted to collect consumer demographics and determine the importance of purchasing traits in fresh beef retail scenarios. The study design was a split-split plot design, in which muscle, packaging type, and case type served as fixed effects. Collection round and time were incorporated into the model as random effects. Data were analyzed using PROC GLIMMIX. Significance was declared at P value less than 0.05. Least-squares means were separated using F-Test.
Results: No significant 2-way or 3-way interactions were observed for evaluation or acceptability of palatability traits analyzed. Tenderness, juiciness, flavor, and overall liking scores were all significantly influenced by muscle effects (P < 0.0001). LL steaks were rated as juicier, more flavorful, more tender, and higher in overall liking compared with ST or GM steaks (P < 0.0001). No significant case or packaging main effects were observed for all palatability traits analyzed. However, there was a tendency for OW steaks to exhibit lower scores than VAC or MAP steaks (P = 0.059). There was a significant packaging effect for the acceptability of the palatability traits. VAC steaks were rated as the most acceptable in flavor compared with MAP and OW steaks (P < 0.0001). Similarly, a significant muscle effect was observed, exhibiting greater juiciness, tenderness, and overall liking acceptability in LL steaks regardless of retail display case or packaging scheme. The flavor acceptability of LL and GM was not statistically different, but both were more acceptable than ST steaks. ST steaks were determined to be the least acceptable in flavor, juiciness, tenderness, and overall (P < 0.0001). Consumers identified price, color, USDA quality grade, and steak size as critical factors in purchasing fresh beef. Among these, color was the most significant purchasing trait for consumers. Grass/grain feeding claims and packaging type were equally rated as the least important purchasing factors.
Conclusion: These data indicate that retail case type does not play a role in beef palatability. Packaging scheme may impact flavor acceptability for consumers but does not impact juiciness, tenderness, or overall liking. The current results indicated that consumer purchase intent is driven by a myriad of factors, including visual appearance, inherent muscle properties, and USDA quality grade. Lean color, price, USDA quality grade, and size remain incredibly important traits to modern consumers. This knowledge may be used to improve sustainability of modern fresh beef retail environments by decreasing energy use in retail display cases.
Funding Source: Research coordinated by the National Cattlemen’s Beef Association, a contractor to the Beef Checkoff.
Keywords: muscle, packaging, retail case, consumers, retail display.
99 Impact of Vinegar and Fermented Onion Juice on the Quality and Shelf Life of Fresh Pork Breakfast Sausage
Emily Little1, Isa Maria Reynoso1*, Ryen Comey1, Sawyer Wyatt Smith1, Li Zhang1, Brian Smith2, Xue Zhang1, and Wes Schilling1, 1Mississippi State University, MS 39762, USA, 2Hawkins Inc., Roseville, MN 55113, USA *iar57@msstate.edu
Introduction/Objectives: The demand for clean-label meat products has increased interest in using natural alternatives to synthetic preservatives in fresh pork breakfast sausage. This study evaluated the effectiveness of dry vinegar (DV) and fermented onion juice (FOJ) in extending pork breakfast sausage shelf life through microbiological and instrumental analysis, lipid oxidation assessment, and sensory evaluation over a 9-d refrigerated storage period.
Materials and Methods: A randomized complete block design with 3 replications was used to evaluate the efficacy of DV and FOJ at lengthening the shelf life of pork sausage. Fresh pork shoulders and hams (24 h postmortem) were coarsely ground, and then portioned into 4 treatments (7 kg batch/treatment): control (no antimicrobial), 0.5% FOJ, 0.5% DV, and a combination (CMB; 0.25% each). Each sausage treatment was then stuffed into casings, frozen, and then sliced into 1.27-cm-thick patties before being placed on trays (3 patties/tray), overwrapped in PVC film, and stored at 4°C under fluorescent lighting (F32T8/SPX35/ECO2) to mimic retail display conditions for 9 d. For all treatments, 4 trays of each treatment were randomly selected at each of the 4 time points (days 1, 4, 7, and 9) for the following analyses. Microbiological analyses included total aerobic bacteria, psychotropic bacteria, lactic acid bacteria as well as yeast and mold, wherein each treatment was tested in duplicates on each sampling day. Instrumental analyses included color (L*, a*, b*; CM-600d, Konica Minolta Inc., Tokyo, Japan), pH (HI 98163, Hannah Instruments Inc., Woonsocket, RI), and water activity (Aqualab 4TE: Pullman, WA), in which 3 patties for each treatment on each day were used for analysis. Lipid oxidation for each treatment on each day was assessed using thiobarbituric acid reactive substances (TBARS) method (Cayman Chemical TBARS Assay Kit protocol) for quantification of lipid oxidation products. Descriptive sensory analysis of raw and cooked patties was performed by trained panelists (n = 4–6) evaluating aroma, appearance, and flavor attributes as well as degree of differences compared with a typical breakfast sausage. The raw patties were evaluated for aroma (sour, oxidized, rancid, and off-notes) and appearance (darkness and slimy). For cooked patties, the same attributes in raw patties were evaluated, but with the inclusion of flavor intensity and spoilage aroma and flavor. Proc MIXED was used to analyze the effect of treatment and day on the analyzed attributes, with replication considered as a random factor. Tukey’s honestly significance difference test was used to separate means when differences occurred among treatments (P < 0.05).
Results: Microbiological analysis indicated that DV and CMB (P < 0.05) reduced aerobic and psychotropic bacterial counts by days 7 and 9 in comparison to the control and FOJ. The CMB also exhibited the lowest lactic acid bacteria counts (P < 0.05) by day 9. Yeast counts increased over time with no differences (P > 0.05) across treatments on each day of testing, reaching approximately 7 log CFU/g by day 9. Water activity and pH remained stable across treatments and throughout the storage, suggesting minimal impact of DV and FOJ on meat chemistry. Lipid oxidation did not differ among treatments (P > 0.05). Instrumental color analysis revealed a significant decline in redness (a* values) over time (P < 0.05) for the control and DV, whereas FOJ and CMB exhibited a more stable color profile, with no significant decline (P < 0.05) in redness by day 9. Sensory analysis of raw patties treated with CMB demonstrated less (P < 0.05) oxidation and off-note aroma scores in comparison to the control by day 9. This suggests that DV and FOJ together may mitigate spoilage-associated sensory changes given that the usage levels are optimized for shelf-life extension of breakfast sausages. For cooked patties, no differences existed among treatments in terms of sour aroma, flavor intensity, or oxidized flavor by day 7 (P > 0.05). This illustrates that the inherent acidity of either DV or FOJ (alone or in combination) did not influence the aroma of the cooked patty. Cooked patties treated with DV and CMB received lesser (P < 0.05) ratings for spoilage and degree of differences than the control throughout the shelf-life period.
Conclusion: These findings suggest that DV, alone or combined with FOJ, may improve microbial stability and sensory quality while supporting clean-label trends. This research is particularly relevant, as the demand for natural alternatives to synthetic preservatives continues to increase and can provide insight into the effectiveness of clean-label ingredients for maintaining meat quality and stability. Future studies will include gas chromatography–mass spectrometry to analyze volatile compounds associated with sensory characteristics of pork sausage during shelf life. Microbial species found on pork sausage samples during shelf life may also be identified to better elucidate the antimicrobial mechanisms of the clean-label preservatives.
Funding Source: National Pork Board.
Keywords: sausage, vinegar, onion, quality, sensory.
100 Determination of Consumer Purchase Thresholds for Discoloration of Beef Steaks in Retail Display
Stephanie L. Witberler1, Lauren M. Frink1, Mason J. Prester1, Chesney A. Effling1, Erin S. Beyer1, Jessie L. Vipham1, Morgan D. Zumbaugh1, Michael D. Chao1, Lindsey N. Drey2, and Travis G. O’Quinn1, 1Kansas State University, Manhattan, KS 66506, USA, 2Cargill, Wichita, KS 67214, USA *switberler26@ksu.edu
Introduction/Objectives: Consumers view meat color as one of the most important factors influencing the purchase of beef at retail. As meat discolors, consumers’ likelihood to purchase decreases. Therefore, the objective of this study was to determine and develop predictive models for consumer purchase likelihood based on objective measures of steak redness and discoloration and to identify thresholds for consumer purchase of beef striploin steaks using objective measures of beef quality.
Materials and Methods: The study was designed in 2 phases. Phase 1 required consumers to evaluate steak samples from various days of display ranging in discoloration from fresh to 100% discolored. Phase 2 required consumers to evaluate samples from the same day of display with similar discoloration. For both phases, commercially packaged steaks were procured from a major beef processor in a case-ready format, identical to packages that would otherwise be displayed and sold at retail. Steaks were received in packages of 2 steaks, so 1 steak was covered with a piece of black matte tape so only 1 steak was visible. Steaks were all the same US Department of Agriculture quality grade (upper 2/3 Choice) and were packaged and stored identically prior to the simulated retail display period. For each phase, steaks were removed from their mother bag, placed in coffin-style retail cases, and displayed under florescent lights for the preplanned display period (0–14 d) in order to create differences in both steak color and discoloration. Consumers (N = 200 for phase 1; 176 for phase 2) evaluated steaks for overall appearance liking and identified whether they would purchase the product (yes/no) if it was fully priced as well as if it was sold at a discount. Additionally, numerous objective color measures (L*, a*, b*, chroma, hue angle) were assessed on each sample, and each was evaluated by a trained descriptive sensory panel for overall redness, with 100 being bright cherry red and 0 being extremely dark red, percentage discoloration (0–100%), and external fat color, with 100 being bright white and 0 being brownish-white. All data were analyzed using SAS with α set at 0.05.
Results: In both phases of the study, all objective measures evaluated were predictors (P < 0.05) of consumer purchase intent. The predictive models accounted for 30% to 78% of the variation in consumer purchase intent for steaks sold at full price and 27% to 72% of the variation when sold at a discount for phase 1. In phase 2, the models were less predictive, with models only accounting for 11% to 57% of the variation in consumer purchase likelihood in both full-priced and discounted samples. a* value and trained sensory panel discoloration scores were some of the best predictors evaluated. These models showed that even minimal discoloration has a large impact on consumer purchasing likelihood, with steaks that had 12% to 22% discoloration only having a 50% chance of being purchased at full price for phases 1 and 2, respectively. When steaks were discounted, consumers were more tolerant of discoloration. In phase 1, steaks with 35.8% discoloration had a 50% chance of being purchased, and in phase 2, steaks with 56.8% discoloration had the same likelihood. Similarly, a* values were lower at each threshold of purchase likelihood when steaks were discounted. For phase 1, a* values of 25.3, 29.9, and 34.4 were associated with a 50%, 75%, and 90% likelihood of purchase, respectively, compared with 20.3, 25.8, and 31.3 when discounted. In phase 2, a* values of 23.6 and 34.2 were associated with a 50% and 75% likelihood of purchase at full price, whereas discounted thresholds dropped to 15.9 and 25.5 for a*. Pearson correlation coefficients supported the importance of redness and discoloration. In phase 1, a* was highly correlated with trained panel redness scores (r = 0.90) and consumer appearance scores (r = 0.87). These relationships weakened in phase 2, particularly between a* and consumer appearance scores (r = 0.69), likely because of the uniform display time. Other color measures (b*, chroma, fat color) showed similar patterns with stronger associations in phase 1. Linear regression models showed all objective measurements were predictors of consumer appearance ratings (P < 0.05). In phase 1, models explained 32% to 80% of the variation in appearance scores; in phase 2, they explained only 22% to 48%. The a* value explained 76% of the variation in phase 1 and 48% in phase 2. Trained panel discoloration scores accounted for 59% and 37% of variation, respectively. As redness increased, consumer appearance scores improved; as discoloration increased, scores declined.
Conclusion: The a* values were one of the most predictive measures, accounting for 64% of the variation in consumer purchase intent when steaks are sold at full price. Consumers expected steaks to be almost completely free of discoloration to be willing to purchase, as steaks with just 12% discoloration were associated with only a 50% likelihood of purchase. Any perceived defect would likely result in a decrease in likelihood to purchase. During phase 2, when all steaks evaluated by consumers were similar in appearance, consumers were more selective than in phase 1 when steaks had a wide range of variation. These findings offer valuable insights into the impact of discoloration on consumer purchase decisions using objective measurements and can help retailers reduce waste, improve sales, and better meet consumer expectations.
Funding Source: Research coordinated by the National Cattlemen’s Beef Association, a contractor to the Beef Checkoff.
Keywords: beef, color, consumer, discoloration, retail.
101 The Effects of Sodium Bisulfate, an Inorganic Acid, Used as a Short-Duration Dip on the Quality and Shelf Life of Ground Beef
Mack P. Myer1, Josie N. Hernandez1, Emily R. Barr1, Cody L. Gifford1, Dana K. Dittoe1, and Christina Ovall2, 1Animal Science Department, University of Wyoming, Laramie, WY 82071, USA, 2Jones-Hamilton Co., Walbridge, OH 43465, USA *ddittoe@uwyo.edu
Introduction/Objectives: Multiple factors affect the microbial load present within ground beef, such as the age, season of the year the animal is slaughtered, lymphatic system, and the combination of multiple within 1 package. Therefore, it is important to implement antimicrobial interventions to reduce the microbial load and extend shelf life. In the current study, the objective was to determine the effect of sodium bisulfate (SBS), an inorganic acid, when used as a short-duration spray on beef trim on the subsequent physical and chemical quality of ground beef over a 28-d shelf life. The present study hypothesizes when SBS is used on beef trim as a short-duration dip, the overall pH, objective color, and shelf life would be unaffected.
Materials and Methods: In the present study, beef trim was fabricated from multiple beef carcasses and separated into 7 batches, each assigned to 1 of the 7 antimicrobial treatments: no treatment (NT), tap water (TW), SBS (3% wt/vol), Assist (pH 1.1), lactic acid (LA, 4% wt/vol), peracetic acid (PAA, 500 ppm), and the combination of SBS + PAA. Samples were dipped for 10 s into respective treatments and removed to drip for at least 2 min on sanitized smoking racks. After treatment, trim was ground, weighed, and formed into 1-lb bricks; vacuum packaged; and stored at 4°C under continuous LED light to simulate retail display conditions for 28 d. Ground beef quality was evaluated on days 1, 7, 14, 21, and 28 for pH, objective color, and shelf life. Additionally, homogenates were collected to assess the microbial ecology over 28 d. Samples were aseptically opened and allowed to bloom for 30 min prior to examining objective color and pH. For microbial analysis, 50 g of ground beef was homogenized with 150 mL of neutralizing buffered peptone water in sterile filter bags for 2 min at 200 rpm. Homogenized samples were serially diluted with 0.1% buffered peptone water, plated using pour and dot plating techniques on respective media, and incubated to enumerate common spoilage indicator microorganisms, including aerobic mesophiles, Enterobacteriaceae, lactic acid bacteria (LAB), Pseudomonas spp., and psychrotrophs. Bacterial counts were recorded as CFU/g, Log10 transformed. Quality and microbial date were analyzed using a linear mixed effect model with pairwise differences determined by day using Tukey’s honestly significant difference and significance determined at P value less than 0.05 (mixed effect = day).
Results: There was no treatment by day interaction on ground beef pH (P > 0.05). There was a treatment by day interaction on objective color and microbial counts (P < 0.05). There was a treatment effect on L*, a*, and b* within each sample day (P < 0.05). Samples treated with SBS + PAA did not differ from NT, PAA, and SBS in L* values within each day (P > 0.05), except day1 differed from NT and day 28 differed from SBS (P < 0.05). Additionally, no antimicrobial treatment was lighter than TW or darker than NT (P < 0.05). The a* values of samples treated with SBS were consistent to samples treated by SBS + PAA within each sample day and, as well, PAA was comparable to NT within each day (P > 0.05). The b* values were similar between SBS + PAA, LA, Assist, and SBS (P > 0.05), except on day 28, when SBS + PAA differed from Assist (P < 0.05). Additionally, NT- and TW-treated samples had comparable b* values within each day, and SBS was similar to LA and Assist (P > 0.05). There was a treatment effect on microbial shelf life within each sample day (P < 0.05). Samples treated with SBS and LA had higher aerobic mesophile levels on days 1 and 7 (P < 0.05). By days 21 and 28, NT and TW samples increased and surpassed spoilage (>7 log CFU/g), whereas SBS and PAA were below spoilage (6.61 and 6.56 log CFU/g on day 28). Enterobacteriaceae levels among LA- and SBS-treated samples (2.0–2.20 log CFU/g) were higher than all other treatments (∼1.8 log CFU/g), except on day 1, when LA-treated ground beef had higher levels (3.92 log CFU/g) than all other treatments (P < 0.05). LAB were greater among LA and SBS than all other treatments on day 1 (3.92 and 3.63 log CFU/g) (P < 0.05); however, by day 7, SBS maintained LAB levels comparable to PAA (2.15 and 2.11 log CFU/g) (P > 0.05). By days 21 and 28, NT and TW samples spoiled (> 7 log CFU/g), whereas SBS + PAA– and Assist-treated samples were not different from one another and did not spoil (5.25 and 5.27 log CFU/g) (P > 0.05). Pseudomonas spp. recovered from Assist and SBS, PAA, and SBS + PAA, and SBS- and LA-treated samples were not different on any day (P > 0.05). On days 1, 14, and 21, psychrotroph levels recovered from LA-, Assist-, SBS-, and SBS + PAA–treated samples were not different (P > 0.05). On day 7, psychrotroph levels of SBS + PAA–treated samples were lower than other samples (P < 0.05), and on day 28, SBS-treated samples were not different than PAA-treated samples (P > 0.05).
Conclusion: Antimicrobial treatments affected color stability and microbial spoilage over 28 d (P < 0.05). However, SBS treatments (SBS and SBS + PAA) were generally comparable to industry controls, Assist and LA, in color values, with SBS treatments not differing from PAA in lightness (L*). Spoilage was indicated by aerobic mesophiles, LAB, and psychrotophic bacteria on NT and TW samples by day 28. All other treatments showed an extended shelf life, maintaining microbial levels below 7 log CFU/g for all microorganisms evaluated. Throughout shelf life, SBS, PAA, LA, and Assist had comparable recovered shelf-life microbial indicator levels. These results indicate SBS may be an effective alternative antimicrobial for extending the shelf life of ground beef.
Funding Source: We acknowledge the in-kind support of chemical solutions from Safe Foods Chemical Innovations and Jones-Hamilton Co.
Keywords: ground beef, sodium bisulfate, spoilage.
102 Consumer Evaluations and Warner-Bratzler Shear Force of Food Service Tenderloin Steaks From 6 Different Sources
Lauren T. Lee*, Sage L. Boleman, Spencer B. Tindel, Kerri B. Gehring, and Jeffrey W. Savell, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77840, USA *lee99@tamu.edu
Introduction/Objectives: Tenderloins are often one of the highest-priced subprimals and steaks in the marketplace because of their tenderness and flavor. Consequently, food service establishments often seek alternative cuts that provide comparable eating experiences to US Department of Agriculture (USDA) Choice and USDA Prime steaks but at a lower price point. It is of interest to determine whether incorporating additional beef tenderloin sources into the US food service sector could provide a more cost-effective tenderloin option for consumers while still delivering a satisfying eating experience. This study evaluated alternative tenderloin sources that are either readily available to meet consumer demand or offered at a lower price point than what is found in the traditional US market. The study included 6 different sources of tenderloin steaks and aimed to determine the effect of source on consumer sensory ratings and Warner-Bratzler shear force (WBSF) objective tenderness.
Materials and Methods: Tenderloins were sourced from 6 carcass types: (1) USDA Choice carcasses, (2) USDA Select carcasses, (3) white-fat cow carcasses, (4) yellow-fat cow carcasses, (5) Uruguayan carcasses, and (6) Australian carcasses. Twenty-seven Institutional Meat Purchase Specifications #190A tenderloins were collected from each source type (n = 162). Each tenderloin was fabricated into 6 steaks (n = 162 steaks per source). Three steaks were used for sensory evaluation, 2 steaks were used for WBSF testing, and 1 steak was held in reserve. All steaks were cooked on a preheated (∼177°C) Star International Commercial flat-top grill (Max Model 536TGF; St. Louis, MO). After placing on the grill, steaks were flipped when internal temperature reached 35°C and then cooked to a final temperature of 70°C. Internal steak temperatures were monitored using digital thermometer probes (ThermoWorksThermoPop, American Fork, UT). For each steak, pre- and postcook weights were recorded to calculate cook yields. In addition, cook times were calculated by recording the time each steak was placed on and removed from the grills. Consumer sensory panel procedures were approved by the Texas A&M Institutional Review Board for the Use of Humans in Research (protocol number STUDY2024-0286). Consumers evaluated sensory steaks for juiciness like/dislike, flavor like/dislike, tenderness like/dislike, and overall like/dislike. For steaks destined for WBSF, three 1.27-cm-diameter cores were taken from each parallel to the muscle fibers using a handheld coring device. Cores were sheared once, perpendicular to the muscle fibers on a United Testing Machine (United SSTM-500; Huntington Beach, CA) at a crosshead speed of 200 mm/min using a 10-kg load cell and a 1.02-cm-thick V-shaped blade with a 60° angle and a half-round peak. Average Newtons required to slice the 3 cores from each steak was calculated. Data were analyzed utilizing JMP Pro (v. 15.2.1; SAS Institute, Cary, NC). The fit model standard least-squares function was used for 1-way analysis of variance, and mean comparisons were conducted using Student’s t test at an α of P value less than 0.05. Microsoft Excel (Microsoft Corporation, Redmond, WA) was used to calculate frequencies for consumer panelists’ demographics.
Results: For overall like/dislike, white-fat cow steaks and Australian steaks had among the highest ratings (P < 0.05), whereas Uruguayan steaks had the lowest (P < 0.05) ratings. USDA Choice steaks ranked higher (P < 0.05) in overall like/dislike than USDA Select steaks, whereas yellow-fat cow steaks did not differ (P > 0.05) from either USDA Choice or USDA Select steaks. White-fat cow steaks, USDA Choice steaks, and Australian steaks had among the highest tenderness like/dislike ratings (P < 0.05). Uruguayan steaks and yellow-fat cow steaks had among the lowest (P < 0.05) tenderness like/dislike ratings. White-fat cow steaks, Australian steaks, and USDA Choice steaks had among the highest (P < 0.05) overall scores for flavor like/dislike, whereas Uruguayan steaks had the lowest (P < 0.05). Flavor like/dislike ratings for USDA Choice and USDA Select steaks did not differ (P > 0.05). Consumers ranked white-fat cow steaks, yellow-fat cow steaks, and Australian steaks highest (P < 0.05) for juiciness liking. In contrast, Uruguayan steaks, USDA Choice steaks, and USDA Select steaks were ranked lowest for juiciness (P < 0.05). Australian and white-fat cow steaks were ranked highest (P < 0.05) overall and received among the highest ratings for tenderness, juiciness, and flavor like/dislike. In contrast, USDA Choice steaks received among the lowest juiciness like/dislike ratings, which likely impacted the overall like/dislike of these steaks. Uruguayan steaks received the lowest or among the lowest ratings for overall like/dislike, tenderness like/dislike, flavor like/dislike, and juiciness like/dislike, with flavor like/dislike being most likely to have the largest impact on overall like/dislike. White-fat cow steaks, yellow-fat cow steaks, and Australian steaks had among the lowest (P < 0.05). USDA Choice steaks, Australian steaks, and yellow-fat cow steaks had similar WBSF values. USDA Select and Uruguayan steaks had among the highest WBSF values.
Conclusion: This study identified potential alternative sources for food service tenderloins that may be more cost effective, without having to sacrifice consumer acceptability. The emphasis consumers place on tenderness resulted in tenderloins from white-fat cow carcasses ranking higher among palatability traits across all 4 factors this study tested for. Consumers also found tenderloins from Australian cattle to have no differences or improved palatability traits when compared with USDA Choice tenderloins. Results from this study indicate white-fat cow and Australian carcasses could both serve as potential sources of tenderloins at lower costs for food service establishments without sacrificing a consumer’s eating experience. Purveyors will be able to use these data to source food service products to meet consumer demands.
Least-squares means and SEM for sensory panel ratings1 (n = 84 per source) and Warner-Bratzler shear force (WBSF) (n = 54 per source) of steaks2 stratified by source3
| Sourceb | Overall like/dislike | Tenderness like/dislike | Flavor like/dislike | Juiciness like/dislike | WBSF, N |
|---|---|---|---|---|---|
| USDA Choice | 6.7b | 7.3a | 6.5ab | 5.8b | 17.6ab |
| USDA Select | 6.1c | 6.8bc | 6.0b | 5.7b | 15.0d |
| White-fat cow | 7.2a | 7.5a | 6.8a | 7.2a | 15.2cd |
| Yellow-fat cow | 6.5bc | 6.7c | 6.2b | 6.9a | 16.0cd |
| Australian | 6.9ab | 7.3ab | 6.8a | 6.8a | 16.0cd |
| Uruguayan | 5.6d | 6.7c | 5.3c | 6.1b | 17.8a |
| SEM | 0.1 | 0.1 | 0.1 | 0.1 | 0.4 |
| P value | <0.0001 | <0.0001 | <0.0001 | <0.0001 | <0.0001 |
Least squares means in the same column without common superscript letters differ (P < 0.05).
Sensory panel ratings: overall like/dislike (9 = like extremely; 1 = dislike extremely), tenderness like/dislike (9 = like extremely; 1 = dislike extremely), flavor like/dislike (9 = like extremely; 1 = dislike extremely), and juiciness like/dislike (9 = like extremely; 1 = dislike extremely).
Number of steaks, 84 per source for sensory panel ratings and 54 per source per source for WBSF.
Steak sources: (1) USDA Choice (USDA, 2017), (2) USDA Select (USDA, 2017), (3) white-fat cow (industry term used to describe products primarily from dairy cows where high-concentrate feeding results in external fat that is generally white in appearance and carcasses are similar in quality to USDA Select or higher), (4) yellow-fat cow (industry term used to describe products primarily from beef cows where forage-based feeding results in external fat that is generally yellow in appearance and carcasses are similar to USDA Utility or USDA Cutter), (5) Uruguayan (imported products from the country of Uruguay where the cattle are primarily forage-finished), and (6) Australian (imported products from the country of Australia where the cattle are primarily forage-finished).
USDA, US Department of Agriculture.
Keywords: beef, consumer, tenderness, WBSF, tenderloin.
Meat and Poultry Quality and Composition - Measurement and Prediction
103 Carcass Weight Prediction Through a Computer Vision System
Nathália F. Souza1, Gutierrez J. F. Assis2, Jenifer M. L. Ramos1, Cris L. C. Nunes1, Lilian K. E. S. Jesus1, Guilherme H. Freitas1, Ana C. F. S. Souza1, João RR Dorea3, and Mario L. Chizzotti1*, 1UFV, Viçosa, MG, Brazil, 2EPAMIG-ITAP, Pitangui, MG, Brazil, 3University of Wisconsin –Madison, Madison, WI 53706, USA *mariochizzotti@ufv.br
Introduction/Objectives: Accurate prediction of carcass weight is crucial for efficient meat production and processing. Among the various approaches for carcass analysis, image-based methods, leveraging advanced computer vision techniques, offer an alternative technique that enhances accuracy and efficiency. The primary objective of this study was to develop a computer vision system to predict beef carcass weight using shape descriptors extracted from segmented images.
Materials and Methods: A total of 598 RGB images of half beef carcasses, with a resolution of 1280 × 720 pixels, were captured in a slaughterhouse environment along with their respective weights in 2019. These images were preannotated using Roboflow and saved as “.txt” files, then divided into training (70%) and validation (30%) sets. Intersection over union (IoU) and precision were used for model evaluation. Segmentation was performed using the You Only Look Once (YOLO) architecture from the Ultralytics library via transfer learning with the “yolo11-seg.pt” weight. The model was trained on a server at the iDATA of Federal University of Viçosa. After segmentation, shape descriptors, such as area, perimeter, convex hull area (HConvex), solidity, aspect ratio (AR), extent, equivalent diameter (ED), circularity, eccentricity, orientation radians (OR), major axis length (Major), minor axis length (Minor), elongation, CentroidX (CX), and CentroidY (CY), were extracted. These descriptors underwent Pearson correlation analysis to assess relationships between dependent and independent variables using RStudio. Subsequently, the combined dataset (image features and carcass weights) was used to train the least absolute shrinkage and selection operator (LASSO) regression model, which applies L1 penalization. The dataset was further split into training (70%) and validation (30%) sets for LASSO, with performance evaluated using the coefficient of determination (R2) and root mean square error (RMSE).
Results: The YOLO model for beef carcass segmentation (Figure 1) demonstrated exceptional performance, achieving an IoU of 0.96 and a precision of 0.99. These metrics are consistent with previous studies, such as Gonçalves et al. (2020), which reported similar accuracy in beef carcass segmentation while comparing 2 image segmentation methods (Superpixel + CNN and SegNet). The high precision and IoU indicate that the YOLO model effectively captures the targeted carcass regions, offering a reliable approach to automated carcass analysis. Pearson correlation analysis (Figure 2) was performed to assess potential multicollinearity among variables. This analysis revealed strong correlations between several variables, including area and ED (r = 1.00), area and HConvex (r = 0.98), and minor and ED (r = 0.94). These strong correlations suggest redundancy among some variables, highlighting the need for feature selection to improve model interpretability and performance. To address this challenge, the LASSO regression model was employed. LASSO penalizes irrelevant variables and mitigates multicollinearity, allowing for selecting the most informative predictors. The model demonstrated a strong correlation between predicted and actual carcass weights, achieving an R2 of 0.7918 and an RMSE of 12.94 kg, which reflects high predictive accuracy. The predictive performance of the model underscores its robustness and reliability in estimating carcass weight from geometric descriptors. The contribution of each variable to carcass weight prediction is depicted in Figure 3. The most influential variables identified were eccentricity (328.770), circularity (226.901), AR (262.500), extent (184.824), and OR (84.593), indicating that shape and orientation characteristics play a pivotal role in estimating carcass weight. Other variables that positively contributed to the model include ED (0.552), major (0.502), minor (0.962), elongation (19.542), and HConvex (0.000096), suggesting that structural features also capture relevant information. On the other hand, some variables exhibited negative coefficients, such as solidity (−11.993), area (−0.002), perimeter (−0.042), and CX (−0.214), indicating a slight inverse relationship with carcass weight. Additionally, CY (0.145) demonstrated minimal impact on the predictive model. These findings indicate that although some geometric descriptors have significant contributions, others may be less relevant to weight prediction. Furthermore, Figure 3 also presents a scatter plot comparing observed and predicted carcass weights. The close alignment of data points along the regression line reflects the model’s robust predictive capacity. This visualization not only demonstrates the accuracy of the LASSO model but also highlights its ability to generalize well to new data.
Conclusion: The YOLO segmentation model effectively segments carcass regions, providing reliable shape descriptors for carcass weight prediction. The LASSO regression model uses these descriptors to predict weight accurately, demonstrating the potential for automating carcass weight estimation in meat processing.
Funding Source: INCT-CA, CNPq, CAPES, FINEP 0248/22, and FAPEMIG RED00172-22, BPD00648-22.
Keywords: YOLO segmentation, shape descriptors.
104 Impact of in Utero Heat Stress on Technological and Processed-Meat Properties of Pork
Dong-Jin Shin1*, Sung-Su Kim1, Jin-Kyu Seo1, Caitlyn Sulliva2, Jay S. Johnson2, and Yuan H. Brad Kim1, 1Department of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA, 2Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA *shin425@purdue.edu
Introduction/Objectives: Climate change threatens the efficiency and sustainability of pork production, and in utero heat stress (IUHS) has been recognized as particularly detrimental to offspring. This condition arises early in embryonic development when the fetus lacks the ability to dissipate heat, leading to hyperthermia. IUHS is considered to have long-term consequences, potentially compromising piglet growth performance and final meat quality. However, research on the technological and processed-meat properties of pork from IUHS-affected offspring with different genomic heat sensitivities (heat tolerant and heat sensitive) remains limited. Therefore, this study aimed to evaluate the effects of IUHS and heat sensitivities on technological properties of pork emulsions.
Materials and Methods: Pigs were assigned to 4 groups based on the sow’s genomic heat sensitivity and IUHS exposure (n = 9 per group): pigs from heat-tolerant sow under thermoneutral (Tol-TN) or IUHS conditions (Tol-HS) and pigs from heat-sensitive sow under thermoneutral (Sen-TN) or IUHS conditions (Sen-HS). Genomic heat sensitivity of sows was discriminated using single-step genomic best linear unbiased prediction method. Heat stress conditions to the offsprings were defined as thermoneutral (17–22°C) and IUHS (cyclic heat stress, 26°C at night/32°C during the day). From day 60 of gestation until farrowing, all pigs were maintained under thermoneutral conditions. After birth, their offspring were raised in group pens under normal commercial production conditions. At 6 mo of age, barrows were slaughtered at Purdue University Meat Laboratory. At 1 d postmortem, all leg muscles were deboned, ground, and stored frozen until use. The samples were analyzed for quality properties (proximate composition, cooking loss, pH, water holding capacity, instrumental color, and texture profile analysis) and technological properties (protein denaturation, emulsion activity index, and protein solubility). For the pork emulsion application, Tol-TN and Sen-HS meat, which exhibited the most distinct technological properties, were used. In addition, the effects of basic additives (phosphate and salt) were also considered, as they may confound or mask the influence of IUHS. The emulsion was manufactured using different combinations of basal additives, including N (no phosphate/salt), P (phosphate), S (salt), and PS (phosphate + salt). All treatments contained nitrite. The proximate composition, cooking yield, emulsion stability, color, and TPA were analyzed on the emulsion sausages. The effects of heat tolerance and IUHS on raw meat and the effects of selected meat types and additives on sausage were analyzed 2-way. Least-squares means were estimated using the PROC GLIMMIX procedure in SAS 9.4, with Tukey’s test employed for post hoc comparisons (P < 0.05).
Results: The proximate composition of raw meat was influenced by genetic type, wherein Tol generally exhibited higher moisture content and lower protein content than the other treatments (P < 0.05). Myofibrillar and total protein solubility were significantly affected by the interaction between genetic type and IUHS, with Tol-TN showing higher solubility than Sen-HS (P < 0.001). However, no differences were observed in texture profile analysis of ground raw meat (P > 0.05). For the emulsion sausage application, samples from Tol-TN and Sen-HS were selected based on their differences in technological properties. Tol-TN exhibited higher cooking loss than Sen-HS (P < 0.05), regardless of additive effect. Regarding the textural properties of sausages, Tol-TN had lower hardness than Sen-HS, with cohesiveness and chewiness following the same trend (P < 0.05). The emulsion stability was not affected by the animal treatment (P > 0.05). These differences in the quality properties of emulsion sausage could be attributed to the differed protein solubility of raw meat.
Conclusion: The results suggest that the combination of the sow’s heat sensitivity and in utero heat stress adversely influenced the technological properties of pork. Sen-HS exhibited lower moisture contents and protein solubility than Tol-TN. Furthermore, sausages made from Sen-HS exhibited lower cooking yields and greater hardness than those of Tol-TN, indicating poorer emulsification. These findings highlight the potential adverse impacts of in utero heat stress on the technological and processed-meat properties of pork from IUHS-affected offspring, especially when the sow is heat sensitive. Therefore, continued efforts to select heat-tolerant pigs would be a possible strategy to maintain meat quality and technological characteristics.
Funding Source: This project is funded by the Center of Excellence for Bison Studies.
Keywords: IUHS; pork; technological; sausage; processed.
Meat and Poultry Quality
105 Metabolic and Biochemical Factors Influencing the Shelf-Life Stability of Beef Muscles During Postmortem Aging
Lamis Ali*, Mohammad Alruzzi, Chandler Stafford, Sulaiman Matarneh, and Stephan van Vliet, Department of Nutrition, Dietetics and Food Science, Utah State University, Logan, UT 84322, USA *lamis.ali@usu.edu
Introduction/Objectives: Shelf-life stability and meat quality are critical for consumer satisfaction and product sustainability in the beef industry. Postmortem biochemical changes, including pH decline, protein degradation, and oxidative stress, play key roles in determining meat color stability and overall shelf life. These changes are influenced by muscle fiber type and mitochondrial content, which vary across muscles. For example, oxidative muscles, such as psoas major (PM), are more prone to discoloration, whereas glycolytic muscles such as longissimus thoracis (LT) tend to retain color better. Semimembranosus (SM) exhibits intermediate characteristics. Differences in enzyme activity and metabolite abundance likely contribute to these variations, but their specific impact across muscles and aging durations is not fully understood. The objective of this study was to assess the influence of mitochondrial content and metabolic profiles and to identify metabolites associated with the shelf-life stability of different bovine muscles over time.
Materials and Methods: Eight steers of similar genetic background and raised under identical feeding and management conditions were harvested at the Utah State University animal harvest facility using standard commercial procedures and in accordance with US Department of Agriculture inspection. Within 30 min postmortem, the LT, SM, and PM muscles were excised from one side of each carcass, divided into 3 portions, and assigned to aging periods of 0, 7, and 14 d. One portion was snap-frozen in liquid nitrogen (0 d), whereas the remaining portions were vacuum packed and stored at 4°C until the designated aging time point. For pH determination, powdered meat tissue (100 mg) was homogenized in a cold buffer (5 mM iodoacetic acid and 150 mM KCl, pH 7.0) at a 1:8 (w/v) ratio, centrifuged at 17,000 × g for 5 min, and allowed to equilibrate to 25°C before pH was measured using an Orion Star A214 pH meter calibrated with pH 4, 7, and 10 buffer solutions. Color measurements were conducted using a Konica Minolta CR-400 chromameter after blooming the steak surfaces for 20 min at room temperature. CIE L* (lightness), a* (redness), and b* (yellowness) values were collected from 3 random surface locations and averaged. The proportions of oxymyoglobin, deoxymyoglobin, and metmyoglobin (MMb) were determined via the Krzywicki (1979) method using absorbance values at 474, 525, and 572 nm and normalized to A700. For Western blotting, 100 mg of powdered tissue was homogenized at a 1:10 (w/v) ratio in titin solubilization buffer (8 M urea, 2 M thiourea, 3% SDS, 75 mM DTT, 50 mM Tris-HCl, pH 6.8) using a bead-beating homogenizer. After centrifugation at 10,000 × g for 10 min, supernatants were collected, and protein concentrations were determined using the BioRad RCDC protein assay. Proteins of interest— succinate dehydrogenase (SDH; 70 kDa), lactate dehydrogenase (LDH; 35 kDa), glyceraldehyde-3-phosphate dehydrogenase (GAPDH; 37 kDa), and myoglobin (17 kDa)—were quantified via SDS-PAGE and Western blotting. Band intensities were normalized to total protein per lane and then further normalized to a reference sample within each blot.
Results: Although discoloration increased in all muscles as aging progressed, the LT exhibited significantly greater color stability compared with the SM and PM muscles (P < 0.05). LT maintained higher a* values, indicating better redness retention throughout the aging period. Correspondingly, LT had a lower proportion of MMb, the oxidized form of myoglobin associated with discoloration, compared with SM and PM (P < 0.05). Myoglobin content was significantly lower in LT than in SM and PM (P < 0.05), suggesting reduced susceptibility to oxidative discoloration. LT had lower levels of SDH, a mitochondrial enzyme indicative of oxidative metabolism, than SM and PM (P < 0.05). This lower oxidative capacity in LT may contribute to its improved color stability and resistance to oxidative stress during storage. Conversely, LDH, a glycolytic enzyme, was found in higher abundance in LT than in SM and PM (P < 0.05), consistent with its classification as a glycolytic muscle with lower oxidative stress potential. GAPDH, another glycolytic enzyme, showed higher abundance in LT and SM compared with PM (P < 0.05), further supporting the metabolic distinction between these muscles. These enzyme expression patterns support the notion that oxidative muscles, such as PM, which possess higher mitochondrial content and SDH levels, are more prone to lipid oxidation and discoloration, whereas glycolytic muscles, such as LT, exhibit enhanced color stability because of reduced oxidative metabolism and higher LDH activity. SM, having intermediate characteristics, displayed moderate color stability and enzyme profiles between LT and PM. These results indicate that postmortem biochemical traits, such as enzyme activity and myoglobin content, vary significantly by muscle type, contributing to differences in meat quality during aging. The clear association between lower oxidative enzyme abundance and improved color stability suggests that metabolic and mitochondrial characteristics play a critical role in shelf-life stability. Understanding these muscle-specific differences is essential for predicting discoloration trends and improving meat processing strategies to enhance the appearance, freshness, and marketability of beef products.
Conclusion: This study highlights the significant impact of muscle-specific metabolic and enzymatic differences on postmortem beef quality and shelf-life stability. The observed variations in color stability, pH, and protein degradation across LT, SM, and PM muscles were closely linked to their oxidative and glycolytic enzyme activities as well as mitochondrial content. LT, a more glycolytic muscle, demonstrated greater color stability and lower oxidative enzyme abundance, whereas PM, a highly oxidative muscle, was more prone to discoloration and protein degradation during aging. These enzymatic differences, along with mitochondrial content, underscore the biochemical fluctuation underlying muscle-specific postmortem changes in beef. Understanding these mechanisms offers valuable insights into the development of muscle-tailored strategies to improve beef shelf life and quality. However, further research is needed to determine the specific role of individual metabolites and their interactions in regulating postmortem biochemical pathways and influencing beef quality across aging periods.
Funding Source: US Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA).
Keywords: meat quality, shelf-life stability.
Meat and Poultry Quality and Composition - Measurement and Prediction
106 How to Use Krzywicki’s Equations on Colorimeter Measurements on Meat Surfaces to More Robustly Quantify Myoglobin Forms?
Daqing (Daching) Piao1*, Ranjith Ramanathan2, Morgan L. Denzer2, Morgan Pfeiffer2, and Gretchen Mafi2, 1School of Electrical and Computer Engineering, Oklahoma State University, OK 74078, USA, 2Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA *daqing.piao@okstate.edu
Introduction/Objectives: Meat color is an important sensory attribute that influences purchasing decisions. The perceived color of meat is strongly associated with myoglobin oxygen saturation or, equivalently, the relative proportions of 3 redox forms of myoglobin including oxymyoglobin (Oxy), deoxymyoglobin (Deoxy), and metmyoglobin (Met). There are 2 approaches to quantify the percentage numbers of myoglobin forms on meat surfaces, using commercial handheld devices, such as a colorimeter. The method originated by Krzywicki converts the spectral reflectance at 4 wavelengths (474, 525, 572, and 730 nm but 700 nm in practice) to a spectral reflex attenuance, then uses a set of equations to compute the percentage numbers of Met and Deoxy. Krzywicki’s equations do not require creating myolobin form standards. However, Krzywicki’s equations can produce unrealistic numbers of myoglobin forms. The objective of this research is to develop an in-depth understanding of Krzywicki’s equations and test whether a modified approach enables more robust practical uses.
Materials and Methods: Vacuum-packaged US Department of Agriculture (USDA) Choice loins were transported on ice to the University’s Robert Kerr Food and Agricultural Products Center. Approximately 6 d postmortem, muscles were sliced into 2.54-cm-thick steaks and packaged immediately after cutting in white Styrofoam trays overwrapped with polystyrene polyvinyl chloride film (15,500–16,275 cm3 O2/m2/24 h at 23°C). All steaks were placed in a coffin-style retail display case for 7 d at 2°C ± 1°C. The average lighting in the different areas of display case ranged from 1,612 to 2,152 lux throughout retail display. A total of 44 USDA Choice loins were procured at 3 different times (14 psoas major [PM], 22 longissimus lumborum [LL], and 8 semitendinosus [ST]). The steaks from each loin were placed on Styrofoam trays wrapped with a polyvinyl chloride film. Surface color was measured daily using a handheld spectrophotometer. The number of days of retail display was 6 or 7. The measurements from 7 steaks of LL muscles over a retail display of 6 d were used for sub-aim 1 testing a baseline configuration, and the entire set of 44 steaks was used for sub-aim 2 testing a modified approach of utilizing Krzywicki’s equation. Raw color analysis daily instrumental color was measured using a HunterLab 4500L MiniScan EZ Spectrophotometer (2.5-cm aperture, illuminant A, and 10° standard observer angle). The surface of each steak was read at 3, 5, or 6 randomly selected positions, and the surface color was characterized by the Commission Internationale de l´Eclairage (CIE) L*, a*, and b* values and reflectance over 400 to 700 nm. Chroma was determined using CIE a* and b* values. The experimental design was a randomized complete block. Loin from each animal was served as a block. Main treatment effect was time. Previous studies reported that LL, PM, and ST muscles have differences in color stability. Hence, data were analyzed separately for muscle type. For each variable [Oxy]%, [Deoxy]%, and [Met]%, mean and standard deviation (STD) were calculated. The progression of [Met]% among PM, LL, and ST muscles with time was compared and considered significant at P value less than 0.05.
Results: Direct estimation of [Oxy]%, [Deoxy]%, and [Met]% of the 7 LL steaks over the retail display were compared using the original and a modified approach of Krywicki’s equation. Testing on colorimeter measurements indicated that Krzywicki’s equation for directly estimating [Oxy]% is sensitive to the baseline reference projected for 730 nm. The modified Krzywicki’s equations performed better, with or without including 730 nm, in specifically resolving a more realistic increase of the [Met]% during the retail display. The 2 algorithms (original and modified) have been applied for estimating [Met]% of the total 44 muscles of 3 types. The results are presented in Figure 1. The left panel summarizes the most relevant equations of each of the 2 algorithms of implementing Krzywicki’s equations. The right panel compares the [Met]% estimated by 2 algorithms of implementing Krzywicki’s equations against chroma over the duration of display. Within the right panel, the top figure corresponds to 14 PM muscles combining 2 groups, the middle figure corresponds to 22 LL muscles combining 3 groups, and the bottom figure corresponds to 8 ST muscles of 1 group. Within each figure of a specific muscle type, the trace marked by black empty diamonds corresponds to applying the original algorithm, and the trace marked by purple solid circles corresponds to applying the modified algorithm. Of the 8 ST muscles, both the chroma and [Met]% remain relatively stable over the duration (7 d) of retail display. Of the 22 LT muscles, the chroma reduced steadily, and [Met]% increased steadily over the durations (5 or 6 d) of retail display. Of the 14 PM muscles, the chroma reduced steadily over the durations (5 or 6 d) of retail display, and [Met]% increased grossly over the duration of display, but it had a pronounced change appearing as a sudden increase (jump) of [Met]% as the chroma reduced to slightly below 30.
Conclusion: This study revisited Krzywicki’s individual equations of [Oxy]%, [Deoxy]%, and [Met]% based on tissue optics. The original and a modified approach to Krzywicki’s equations were tested on 44 loins (LL, n = 22; PM, n = 14; ST, n = 8). Testing on colorimeter measurements indicated that Krzywicki’s equation for directly estimating [Oxy]% could be sensitive to the baseline reference projected for 730 nm. The modified Krzywicki’s equations performed better, with or without including 730 nm, in specifically resolving a more realistic increase of the [Met]% during the retail display. The modified algorithm applied to PM muscles revealed a pronounced rapid increase of the [Met]% as the chroma reduced to approximately 30, compared with a steady increase of the [Met]% in LL muscles at similar numbers of chroma. The results suggest that modified Krzywicki’s equations provide a more realistic estimation of the percentage numbers of myoglobin forms on steak surfaces than original equations.
Funding Source: US Department of Agriculture National Institute of Food and Agriculture (100005825) (2022-67017-36538) grant program.
Keywords: myoglobin, discoloration, Krzywicki’s equations, colorimeter.
Meat and Poultry Quality
107 Exploring the Effects of Increasing Weight at Slaughter on Belly Quality Attributes of Gilts and Barrows
Manuel Juárez1*, Justice B. Dorleku1, Benjamin M. Bohrer2, Philip O. Soladoye1, and Tawanda Tayengwa1, 1Agriculture and Agri-Food Canada (AAFC), Lacombe, Alberta, Canada, 2Department of Animal Sciences, The Ohio State University, Columbus, OH 43210, USA *manuel.juarez@agr.gc.ca
Introduction/Objectives: The slaughter weight of commercial pigs in North America has been consistently increasing over time, from 110 to 115 kg in 2010 to the current weight of approximately 130 kg. Increasing carcass weight is known to have significant impacts on pork quality traits linked to, among other factors, changes in the chilling rate, and these effects are often different in gilts and barrows. However, few studies have explored the impact of increasing slaughter weight on pork belly quality. Pork bellies constitute nearly 20% of the total carcass value (Mandigo, 2000 <https://eposterboards.submittable.com/submit/307982/amsa-rmc-abstract-submission-portal#_ENREF_22>), with certain buyers willing to pay premiums for primal cuts that meet specific quality standards. Packers prefer bellies that are fairly thick and firm, as these characteristics lead to higher processing yields and increased profitability (Person et al., 2005 <https://eposterboards.submittable.com/submit/307982/amsa-rmc-abstract-submission-portal#_ENREF_31>). This study aimed to evaluate the impact of increased slaughter weight on a comprehensive set of quality attributes of bellies from gilts and barrows.
Materials and Methods: All experimental procedures were approved by the Agriculture and Agri-Food Canada Lacombe Research and Development Centre’s (AAFC-LRDC, AB, Canada) Animal Care Committee. Pigs were cared for following commercial practices, as outlined under the guidelines established by the Canadian Council on Animal Care (2009). A total of 2,110 commercially pigs, including 1,055 barrows and 1,055 gilts (Large White × Landrace sows × Duroc boars; Genesus Genetic Technology, MB, Canada), were slaughtered at 2 different slaughter weights (light: 114.7 ± 0.16 kg; heavy: 128.3 ± 0.14 kg) at the AAFC-LRDC federally inspected abattoir over 75 different slaughter dates. After slaughter, lean meat yield was measured between the third- and fourth-last ribs using a grading probe (Anitech PG100, Anitech Information Systems Inc., Markham, ON, Canada). Carcasses were then separated into primal cuts following the International Meat Purchase Specifications (IMPS) for pork (IMPS, 2014). Individual primal cuts were scanned using dual energy x-ray absorptiometry to measure lean and fat content (Soladoye et al., 2016). Total carcass lean and fat were calculated as the sum of fat tissues from all individual primal cuts. A pork chop from the center of the loin was used to measure intramuscular fat content using the Smart Trac Fat Analyzer Model 907,955 (CEM Corporation, Matthews, NC). A 5-g sample of backfat from the shoulder was sampled from each carcass and stored at −80°C until further fatty acid analyses following the protocol described previously (Turner et al., 2014), and iodine value was then calculated (AOCS, 1998). Belly weight percentage, length, and width as well as side lean, side fat, intermuscular fat (side seam), subcutaneous fat (side subcutaneous), and side thicknesses were measured following previously published protocols (Soladoye et al., 2017). Individual bellies were also tested using the Belly Bender V2, which provides an objective measurement (°) of belly firmness (Uttaro et al., 2024). Data were analyzed using the Mixed Model algorithm of the SAS Institute, Inc. (v9.4; SAS Inst. Inc.), incorporating weight, sex, and their interaction as fixed factors, with kill date as a random effect. When the model indicated significance (P < 0.05), group means were determined using the LSMEANS statement.
Results: For most carcass traits except lean meat yield percentage, significant interactive effects (P < 0.05) were observed between weight and sex. Total carcass fat percentage was highest in heavy males (34.2%) and lowest in light females (29.6%). Intramuscular fat content was highest in both light and heavy males (4.10%) and lowest in light females (3.55%). Lean meat yield percentage was consistently higher (P < 0.001) in light pigs (59.7%) compared with heavy pigs (50.2%) and in females (60.0%) compared with males (58.8%). Regarding belly characteristics, males (18.7%) and heavy pigs (18.8%) had higher (P < 0.05) belly weight percentage than females (18.6%) and light pigs (18.5%). Bellies from heavy male pigs had the highest fat content (34.8%, P = 0.016), whereas light female pigs had the lowest (31.2%). Belly length and width were greatest in heavy (69.8 cm and 25.4 cm, respectively) and female pigs (68.2 cm and 25.4 cm, respectively) (P < 0.05). Side lean thickness was lowest in light males (2.13 cm, P = 0.033). Side fat, seam, subcutaneous, and total thickness were consistently higher in heavy (2.77 cm, 4.03 cm, 2.34 cm, and 1.45 cm, respectively) and male pigs (2.74 cm, 4.10 cm, 2.41 cm, and 1.46 cm, respectively) (P < 0.001). The same trend was observed for the belly bend angle, with higher values in heavy (149.3°) and male pigs (148°) (P < 0.001).
Conclusion: As expected, increasing the slaughter weight in commercial pigs affected carcass composition and lean meat yield. The interactive effects between slaughter weight and sex, which were not observed in the traditional grading probe evaluations, should be considered as animals continue to get heavier. Similarly, total belly fat content was influenced by the interaction between weight and sex, with differences between gilts and barrows becoming smaller in heavier pigs. Conversely, belly dimensional traits, firmness, and iodine value were not affected by this interaction; fat layers became thicker and firmer as both males and females grew heavier. This trend needs to be monitored, as excess belly fat, although beneficial for firmness, is not desirable for premium buyers. Future research should explore the impact of heavier slaughter weights (140–150 kg) and their interaction with other novel production factors, such as immunocastration.
Interactive effects of weight and sex on pork carcass and belly characteristics
| Light | Heavy | Pr > F | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Male | Female | Male | Female | ||||||
| Mean | SEM | Mean | SEM | Mean | SEM | Mean | SEM | ||
| Carcass Traits | |||||||||
| Commercial Weight | 95.02c | 0.35 | 95.80b | 0.35 | 106.4a | 0.35 | 106.4a | 0.35 | 0.035 |
| Lean Meat Yield % | 59.07 | 0.10 | 60.37 | 0.10 | 58.64 | 0.10 | 59.7 | 0.10 | 0.093 |
| Total Lean % | 57.43c | 0.21 | 60.44a | 0.21 | 56.33d | 0.21 | 58.74b | 0.21 | 0.045 |
| Total Fat % | 32.86b | 0.22 | 29.65d | 0.22 | 34.23a | 0.22 | 31.67c | 0.22 | 0.040 |
| IMF % | 4.10a | 0.08 | 3.55 | 0.08 | 4.11a | 0.08 | 3.78b | 0.08 | 0.042 |
| Belly Traits | |||||||||
| Belly Weight % | 18.59 | 0.07 | 18.4 | 0.07 | 18.83 | 0.07 | 18.72 | 0.07 | 0.477 |
| Belly Lean % | 65.49c | 0.27 | 67.88a | 0.27 | 64.52d | 0.27 | 66.05b | 0.27 | 0.017 |
| Belly Fat % | 33.83b | 0.27 | 31.39d | 0.27 | 34.83a | 0.27 | 33.26c | 0.27 | 0.016 |
| Length (cm) | 67.61c | 0.14 | 68.18b | 0.14 | 69.74a | 0.14 | 69.85a | 0.14 | 0.022 |
| Width (cm) | 23.91 | 0.08 | 24.81 | 0.08 | 24.92 | 0.08 | 25.93 | 0.08 | 0.404 |
| Side Lean (cm) | 2.13b | 0.02 | 2.23a | 0.02 | 2.20a | 0.03 | 2.22a | 0.03 | 0.033 |
| Side Fat (cm) | 2.6 | 0.02 | 2.35 | 0.02 | 2.88 | 0.02 | 2.65 | 0.02 | 0.567 |
| Side Thickness (cm) | 3.94 | 0.05 | 3.48 | 0.05 | 4.27 | 0.07 | 3.80 | 0.07 | 0.990 |
| Side Seam (cm) | 2.29 | 0.05 | 1.92 | 0.05 | 2.53 | 0.07 | 2.14 | 0.07 | 0.849 |
| Side Subcutaneous (cm) | 1.38 | 0.01 | 1.25 | 0.01 | 1.53 | 0.01 | 1.37 | 0.01 | 0.067 |
| Belly Bend (°) | 143.8 | 1.76 | 140.8 | 1.79 | 152.3 | 1.66 | 146.4 | 1.67 | 0.105 |
| Iodine Value | 59.27 | 0.16 | 60.69 | 0.16 | 58.3 | 0.16 | 59.64 | 0.16 | 0.741 |
Individual effects of weight and sex on pork carcass and belly characteristics
| Weight | Pr > F | Sex | Pr > F | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Light | Heavy | Male | Female | |||||||
| Mean | SEM | Mean | SEM | Mean | SEM | Mean | SEM | |||
| Carcass Traits | ||||||||||
| Commercial Weight | 95.41b | 0.33 | 106.4a | 0.33 | <0.001 | 100.7b | 0.33 | 101.1a | 0.33 | 0.030 |
| Lean Meat Yield % | 59.72a | 0.09 | 59.17b | 0.08 | <0.001 | 58.85b | 0.08 | 60.03a | 0.08 | <0.001 |
| Total Lean % | 58.94a | 0.18 | 57.54b | 0.18 | <0.001 | 56.88b | 0.18 | 59.59a | 0.18 | <0.001 |
| Total Fat % | 31.25b | 0.19 | 32.95a | 0.19 | <0.001 | 33.54a | 0.19 | 30.66b | 0.19 | <0.001 |
| IMF % | 3.83b | 0.07 | 3.95a | 0.07 | 0.329 | 4.11a | 0.07 | 3.67b | 0.07 | <0.001 |
| Belly Traits | ||||||||||
| Belly Weight % | 18.49b | 0.06 | 18.78a | 0.06 | <0.001 | 18.71a | 0.06 | 18.56b | 0.06 | 0.021 |
| Belly Lean % | 66.68a | 0.24 | 65.28b | 0.24 | <0.001 | 65.00b | 0.24 | 66.96a | 0.24 | <0.001 |
| Belly Fat % | 32.61b | 0.24 | 34.05a | 0.24 | <0.001 | 34.33a | 0.24 | 32.33b | 0.24 | <0.001 |
| Length (cm) | 67.89b | 0.12 | 69.80a | 0.12 | <0.001 | 68.68b | 0.12 | 69.01a | 0.12 | 0.011 |
| Width (cm) | 24.36b | 0.07 | 25.42a | 0.07 | <0.001 | 24.42b | 0.07 | 25.37a | 0.07 | <0.001 |
| Side Lean (cm) | 2.18 | 0.02 | 2.21 | 0.02 | 0.183 | 2.17b | 0.02 | 2.22a | 0.02 | 0.044 |
| Side Fat (cm) | 2.48b | 0.02 | 2.77a | 0.02 | <0.001 | 2.74a | 0.02 | 2.50b | 0.02 | <0.001 |
| Side Thickness (cm) | 3.71b | 0.05 | 4.03a | 0.06 | <0.001 | 4.10a | 0.06 | 3.64b | 0.06 | <0.001 |
| Side Seam (cm) | 2.11b | 0.04 | 2.34a | 0.06 | <0.001 | 2.41a | 0.05 | 2.03b | 0.05 | <0.001 |
| Side Subcutaneous (cm) | 1.32b | 0.01 | 1.45a | 0.01 | <0.001 | 1.46a | 0.01 | 1.31b | 0.01 | <0.001 |
| Belly Bend (°) | 142.3b | 1.63 | 149.3a | 1.56 | <0.001 | 148.0a | 1.58 | 143.6b | 1.59 | <0.001 |
| Iodine Value | 59.98a | 0.14 | 58.97b | 0.14 | <0.001 | 58.78b | 0.14 | 60.16a | 0.14 | <0.001 |
Funding Source: The authors would like to acknowledge funding from Swine Innovation Porc (Project #1787 “Classifying Canadian pork based on quality attributes”).
Keywords: pork, belly, weight, sex, firmness.
Meat and Poultry Quality and Composition - Measurement and Prediction
108 Muscle Fiber Type Differences Between Conventional Beef, Beef × Dairy, and Holstein Steers
James Brister*, Jacob, McMillan, Luke Fuemiss, Dale Woerner, Brad Johnson, Blake Forarker, Meat Science & Muscle Biology, Texas Tech University, Lubbock, TX 79409, USA *jmbrister@outlook.com
Introduction/Objectives: Certain meat qualities, such as tenderness, color, and water holding capacity, are linked to proportions of muscle fiber types, wherein type I and IIA correlate with higher-quality meat and IIX with poorer quality. In a previous study, subprimal yield percentage was greater in conventional beef cattle and high-yielding (HY) beef × dairy cattle than low-yielding (LY) beef × dairy cattle and dairy cattle. The objective of this study was to compare muscle fiber type characteristics between conventional beef steers, HY and LY beef × dairy steers, and Holstein steers and relate these muscle characteristics to traditional measures of muscularity, such as ribeye area and subprimal yield percentage.
Materials and Methods: To obtain muscle tissue samples, conventional beef steers, beef × dairy steers, and Holstein steers were harvested and selected for fabrication based on industry average hot carcass weight and fat thickness for their respective cattle type. Beef × dairy steers were subdivided into HY and LY groups after fabrication. To collect data on the myosin heavy chains (MHC) for the classes of steers, frozen samples of the longissimus dorsi were cut perpendicular to the muscle fibers to produce sections, which were fixed onto glass slides. The slides were then prepared with immunohistochemical staining and artificially colored and analyzed using NIS-Elements Imaging software. Low-quality images were culled from the image bank, and MHC types I, IIA, and IIX of each sample were counted, and cross-sectional area was measured. The mean cross-sectional area (CSA) and mean CSA proportional to MHC count of each fiber type were calculated for each sample. Mean CSA of MHC, proportional count of MHC, and proportional CSA were compared between cattle type (n = 11–14 carcasses per cattle type). A Pearson correlation was conducted between mean CSA of each MHC type and both subprimal yield percentage and ribeye area.
Results: Mean CSA of MHC-I was not different between cattle types (P = 0.134). Mean CSA of both MHC-IIA and MHC-IIX was greatest (P < 0.05) in HY beef × dairy, intermediate (P < 0.05) in Holstein, and least (P < 0.05) in LY beef × dairy and conventional beef. Comparing the proportional counts of all 3 MHC types showed no differences between classes (MHC-I, P = 0.142; MHC-IIA, P = 0.152; MHC-IIX, P = 0.202). Analysis of mean CSA proportional to MHC count of MHC-I showed no differences between classes (P = 0.230), whereas the same analysis of MHC-IIA was the greatest (P < 0.05) in beef × dairy HY, intermediate (P < 0.05) in both beef × dairy LY and Holstein, and least (P < 0.05) in conventional beef. MHC-IIX was greatest (P < 0.05) in conventional beef, intermediate (P < 0.05) in both beef × dairy LY and Holstein, and least (P < 0.05) in beef × dairy HY. The Pearson correlation of both MHC-I and MHC-IIX mean CSA showed no correlation to ribeye area (MHC-1: P = 0.740, r = 0.047; MHC-IIX: P = 0.079, r = 0.243), whereas the Pearson correlation of MHC-IIA showed positive correlation to ribeye area (P < 0.05, r = 0.335). The Pearson correlation of mean CSA of all MHC types showed no correlation to subprimal yield percentage (MHC-I: P = 0.219, r = 0.171; MHC-IIA: P = 0.089, r = 0.236; MHC-IIX: P = 0.212, r = 0.174).
Conclusion: Mean CSA proportional to MHC count for MHC-IIA fibers wherein beef × dairy HY is greater than the other 3 classes demonstrated a positive quality obtained through crossbreeding that is not present in solely conventional beef or dairy steers. The data involving mean CSA proportional to MHC count for MHC-IIX in which conventional beef is greater than the other 3 classes demonstrates that there is potential for genetic selection to decrease the higher proportional mean CSA of type IIX fibers in conventional beef while increasing the proportional mean CSA of type IIA fibers, possibly by the inclusion of dairy genetics. The correlation between mean CSA of MHC-IIA and ribeye area shows that larger MHC-IIA fibers can influence specific muscularity measures and increase ribeye area, with an opportunity for further research on effects of CSA of MHC-IIA on different muscularity measures.
Funding Source: Cargill Protein.
Keywords: fiber type, yield, beef-on-dairy.
Meat and Poultry Quality
109 Investigation of Composition, pH, Tenderness, Cook Loss, and Volatile Compounds of M. Longissimus Lumborum Steaks From Beef Carcasses of 4 Color Categories
Thomas W. Dobbins1*, Manuel S. Hernandez1, Bradley J. Johnson1, Dale R. Woerner1, Jerrad F. Legako1, Nicholas C. Hardcastle2, and Ranjith Ramanathan3, 1Department of Animal and Food Sciences, Texas Tech University, Lubbock, TX 79409, USA, 2Cargill Protein, Wichita, KS 67202, USA, 3Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74075 USA *tdobbins@ttu.edu
Introduction/Objectives: Meat color is one of the primary decision tools consumers use when purchasing beef. Variation in color leads to large economic losses each year, especially related to dark cutting beef, which is generally associated with a dark red or purple color and increased pH. The most recent beef quality audit reported that 1.8% of cattle in the United States are identified as dark cutting, and these cattle lead to an approximate $288 million economic loss. Furthermore, changes in pH can also lead to differences in tenderness, water holding capacity, and flavor development. Thus, variation in the color of beef carcasses can alter palatability and consumer perception through direct and indirect mechanisms. The objective of this study was to evaluate the composition, tenderness, cook loss, and volatile compound profile of M. longissimus lumborum beef steaks from 4 carcass color categories.
Materials and Methods: Carcasses were collected across 9 consecutive months from 2 commercial abattoirs. A E+V grading camera was used to evaluate carcass color, backfat thickness, and marbling score. Carcasses were categorized according to the lowest color score from the grading camera and placed accordingly: dark (DARK; L* ≤ 55), intermediate (INT; 55 < L* ≤ 59), normal (NORM; 60 ≤ L* <80), or light (LIGHT; L* ≤ 80). At each collection, 6 carcasses per color category were collected for a total of 215 carcasses across the entire study (DARK = 53; INT = 54; NORM = 54; LIGHT = 54). A 5.08-cm portion was removed from each side, transported to Texas Tech University, aged until 5 d postmortem to be snap-frozen and homogenized or 14 d postmortem and frozen as a steak at −20°C until further analysis. Powder homogenate from the 5-d samples was utilized for determination of pH by creating a slurry with water, and the pH was determined using a benchtop pH meter. Steaks aged 14 d were utilized for proximate analysis, slice shear force (SSF), and volatile compound analyses. Samples were coarse ground and fine ground through a tabletop grinder prior to proximate analysis. Percentage of moisture, fat, protein, and collagen was measured using near infrared spectroscopy. Another steak aged to 14 d postmortem from each carcass was weighed then cooked on a flat-top grill at a surface temperature of 163°C to a target internal temperature of 71°C. Following cooking, the steak was weighed again, and a 1 × 5–cm slice was removed from the lateral end. The removed slice was sheared perpendicular to the muscle fiber orientation using an SSF machine. The remaining components of the cooked steak were snap-frozen in liquid nitrogen and homogenized. Cook loss was calculated as the percentage change in initial and final weight after cooking. The cooked homogenate was utilized for volatile compound analysis wherein volatile compounds were extracted through headspace-solid phase microextraction and analyzed using gas chromatography–mass spectrometry. All data were analyzed using a generalized mixed linear model with significance declared at P value less than or equal to 0.05 and tendencies at P value less than or equal to 0.10, with a main effect of color category. Peak cook temperature, percentage fat, and marbling score were considered as covariates and included in the model if P value was less than or equal to 0.10.
Results: Camera color scores were greatest (P < 0.05) in LIGHT carcasses and least (P < 0.05) in DARK carcasses; NORM carcasses were greater (P < 0.05) than INT and DARK, whereas INT was greater (P < 0.05) than DARK. Backfat thickness was increased (P < 0.05) in LIGHT carcasses compared with INT and DARK, whereas NORM carcasses had greater (P < 0.05) backfat than INT. Marbling scores were greater (P < 0.05) in LIGHT carcasses compared with NORM and INT, whereas DARK carcasses had increased (P < 0.05) marbling scores compared with INT. Muscle pH was greatest (P < 0.05) in DARK (6.44) carcasses, and INT (5.84) carcasses had an increased (P < 0.05) pH compared with NORM (5.55) and LIGHT (5.43). SSF values were increased (P < 0.05) in INT (17.54 kg) carcasses compared with all other color categories (DARK = 14.93 kg; NORM = 14.80 kg; LIGHT = 14.63 kg). Cook loss was least (P < 0.05) in DARK (13.19%) carcasses, whereas INT (16.99%) carcasses had less (P < 0.05) cook loss compared with LIGHT (18.97%) carcasses. Fat percentage was greatest (P < 0.05) in LIGHT (5.75%) carcasses, whereas NORM (3.89%) carcasses had an increased (P < 0.05) fat percentage compared with INT (2.60%). Moisture content was greatest (P < 0.05) in INT carcasses (72.28%). DARK (71.77%) and NORM (71.02%) carcasses had increased (P < 0.05) moisture content compared with LIGHT (70.15%) carcasses. Protein content was increased (P < 0.05) in NORM (24.50%) carcasses compared with DARK (23.96%) and LIGHT (23.77%) carcasses. Additionally, protein content was greater (P < 0.05) in INT (24.26%) carcasses compared with LIGHT (23.77%). There were no differences (P > 0.05) in the percentage of collagen between carcass color categories. Varied impact was observed for 61 targeted volatile compounds. Twenty-five compounds differed (P < 0.05) between color categories, and an additional 5 compounds tended to differ (P < 0.10) between categories. Furans, ketones, oxalones, pyrazines, pyrroles, Strecker aldehydes, sulfides, and thiopenes associated the Maillard reaction were reduced (P < 0.05) in DARK carcasses. There were no differences (P > 0.05) between color categories in alcohols or terpenes within lipid degradation pathways. There tended (P < 0.10) to be variation in the abundance of esters in lipid degradation pathways across color categories. Aldehydes, carboxylic acids, hydrocarbons, and ketones associated with lipid degradation pathways were reduced (P < 0.05) in DARK carcasses.
Conclusion: The color associated with beef is strongly related to the ultimate pH of the muscle. Furthermore, the interaction of pH and color also contributes to variation in both tenderness and water holding capacity of these steaks. Both DARK and INT carcasses produce steaks of less desirable color; however, INT carcasses produce tougher steaks. Through increases in pH and subsequent increases in water holding capacity, the production of volatile flavor compounds associated with the Maillard reaction are reduced during the cooking process. This study concludes that variation in color attributed to differences in pH and other factors not only influence the formation of an undesirable darker color but also reduce volatile compounds associated with a positive eating experience. Finally, the differences between NORM and LIGHT beef are almost exclusively related to the composition of the meat.
Funding Source: Research coordinated by the National Cattlemen’s Beef Association, a contractor to the Beef Checkoff.
Keywords: beef, dark cutters, meat quality.
Meat and Poultry Quality and Composition - Measurement and Prediction
110 Improved Ground Beef Shelf-Life Estimation Using a Spoilage Gas Sensor for Water-Soluble Volatile Compounds and Predictive Modeling
Jimena Rodriguez1,*, Sabrina Blandon1, Giandrin Barandun2, Max Grell2, and Jerrad F. Legako1, 1Texas Tech University, Lubbock, TX 79409, USA, 2Blakbear Ltd, London, UK *jimerodr@ttu.edu
Introduction/Objectives: Ground beef is commonly prepared in polyvinyl chloride (PVC) overwrap packaging for purchase at retail. The shelf life of ground beef is a key quality concern for processors, retailers, and consumers. However, existing methods for assessing shelf life are slow, labor intensive, and unable to account for variation between individual packages. Current “use-by” or “best-by” dates are not entirely applicable, given that they are not reflective of individual package shelf life. In this study, we evaluate the use of a spoilage gas sensor for water-soluble volatile compounds as a rapid, nondestructive tool for shelf-life estimation of ground beef. By correlating sensor responses with standard spoilage indicators, we demonstrate its potential for real-time prediction and improved assessment of package-to-package shelf-life variability.
Materials and Methods: Five 4.5-kg, 85% lean ground beef chubs were obtained from a local purveyor and transported to Texas Tech University. Approximately 0.28 kg of ground beef was weighed, formed into a brick and placed onto a black polystyrene tray with an absorbent pad and spoilage gas sensor and then overwrapped with oxygen-permeable PVC film (n = 51). Packages were randomly assigned to a display period—0 to 7 d—and immediately placed into a multideck-style retail case under continuous fluorescent lighting. Each day, samples were removed from the retail case and measured for surface color, lipid oxidation, and microbial quantification. Sensor data were collected continuously from individual sensors through a BLE5.0 gateway and subsequently uploaded to a cloud server for further processing. Resulting sensor data were retained as daily sensor response adjusted for temperature. Using a previously developed predictive model, the sensor data were analyzed to estimate aerobic counts (AC) in ground beef, generating a predicted AC value (CFU/g) for each sensor on each sampling day. Surface color was recorded daily using a Hunter MiniScan EZ colorimeter. Collected CIE L*, a*, b* values were utilized to measure surface color and used to calculate chroma and hue angle. Concentrations of malondialdehyde were measured daily using the 2-thiobarbituric acid reactive substances (TBARS) assay following the method modified by Luque et al. (2011). Lastly, AC and lactic acid bacteria (LAB) were measured daily over the 7-d display period through the use of TEMPO. All data were transformed into log 10 CFU/g for statistical analyses. Meat quality data were analyzed using the GLIMMIX procedure of SAS version 9.4, wherein day served as fixed effect, and package was the experimental unit. Quality and sensor data were averaged to obtain a singular numerical value for assigned display period and used for statistical analysis. Meat quality, raw sensor, and sensor model (AC) data were used to run a linear regression using R, wherein lab-collected data was set as a dependent variable and sensor and model data as an independent variable.
Results: The following parameters showed significant changes over the display period (P < 0.001): Color quality and stability decreased, with day 0 samples exhibiting the highest a* (redness) values that declined over time. Similarly, chroma and hue values decreased throughout the display period. Lipid oxidation increased with longer display times. Both aerobic and lactic acid bacterial concentrations were higher with increased display duration. Linear regression was conducted to examine the relationship between average meat quality data, raw sensor output, and AC model output. Average a* (redness) values reported an adjusted R2 of 0.52 for raw sensor data and 0.77 for model output data. Chroma (intensity) was found to have an R2 of 0.56 for raw sensor data and 0.79 for model output data. The lipid oxidation relationship had an adjusted R2 value of 0.61 for the raw sensor data and 0.79 for the model output data. Aerobic bacterial count had an R2 of 0.77 for raw sensor data and 0.93 for the model output data. LAB had an R2 of 0.46 for raw sensor data and 0.67 for the model output data.
Conclusion: Deterioration of ground beef samples was evident over the 7-d simulated retail display. Positive correlations were observed between meat quality parameters, raw sensor output, and data from the predictive model. The model, designed to predict aerobic colony counts, performed best in this task (R2 = 0.93). Compared with direct sensor output, the model improved prediction accuracy by more than 0.23 R2 on average for color degradation and lipid oxidation. Raw sensor values show a nonlinear but monotonic relationship with lipid oxidation data, suggesting that a model can be trained to more accurately predict TBARS measurements. A similar trend was observed for color degradation, although the latter may present cyclical patterns that require more advanced modeling approaches. These findings support the feasibility of rapid, real-time shelf-life prediction with high predictive accuracy for aerobic counts. Future work may further augment models to increase accuracy of other key meat quality attributes.
Funding Source: Funded in part by Blakbear.
Keywords: real-time measurement, meat quality, packaging.
Meat and Poultry Quality
111 Location and Cutting Style Influence Beef Bottom Round (Biceps Femoris) Steak Tenderness and Display Color Attributes
J. Anna Scott*, Clint T. Lee, Dewey Hamp Thomas, and Alexander M. Stelzleni, University of Georgia, Athens, GA 30602, USA *jameson.scott@uga.edu
Introduction/Objectives: The biceps femoris (bottom round) was previously identified as a possible value-added cut from the beef round to maximize profitability from each carcass; however, greater merchandizing has not been adapted because of its varying fiber orientation, color and color stability, and inconsistent tenderness. Common fabrication practices for the bottom round are to cut into steaks and roasts in a proximal to distal orientation with little attention to muscle fiber direction or location within the subprimal, leading to increased variation. Research has shown that when steak fabrication is reoriented perpendicular to fiber orientation, tenderness is improved, as opposed to inevitably being parallel to fiber orientation with traditional fabrication in areas of the bottom round. The objective of this study was to evaluate an economical change in cutting methods of the beef bottom round to understand which locations are best suited to increase steak yields and maximize tenderness and color shelf life.
Materials and Methods: Sixty paired Institutional Meat Purchase Specifications (IMPS) #171B beef bottom rounds were selected 3 d postmortem. Fifteen carcasses from US Department of Agriculture Prime (PR) and Low Choice (LC) were utilized. Bottom rounds were vacuum sealed and transported (164 km) to the University of Georgia Meat Science and Technology Center for continued aging (0 ± 2°C). Fourteen days postmortem, bottom rounds were fabricated by removing the ischiatic head and separated into 3 sections (dorsal [S1], medial [S2], distal [S3]) perpendicular to the long-axis based on predominant fiber orientation. Right side (RS) bottom rounds were fabricated into 2.54-cm steaks perpendicular to the muscle’s long-axis simulating traditional fabrication. Left side (LS) bottom rounds were fabricated into 2.54-cm steaks perpendicular to each section’s predominant fiber orientation. Steaks were randomly assigned to either Warner-Bratzler shear force (WBSF) or retail display. Steaks designated for WBSF were vacuum sealed and frozen (−20°C) for subsequent analysis. Steaks designated for retail display were placed onto Styrofoam 2S trays, overwrapped with polyvinyl chloride film, and placed in Hussman open-top coffin cases (2 ± 2°C) under continuous light (lux » 1,781). Steaks for WBSF analysis were thawed (2 ± 2°C) 24 h and cooked on clam-shell grills (63°C) targeting medium-rare degree of doneness. Following cooking, steaks were cooled overnight (2 ± 2°C). Six cores (1.27-cm diameter) were removed parallel to fiber orientation and sheared (crosshead speed: 250 mm/min; load cell of 500 N). The peak force was recorded and averaged. During 5-d simulated retail display, CIE L*, a*, and b* and spectral measurements were recorded daily (Hunter LAB MiniScan, Illuminant A 10°), with 3 scans taken per sample and averaged. Hue angle, chroma, and Delta E were calculated. Data were analyzed as a split-split-plot utilizing Proc MIXED (SAS Inst., V9.4). Carcass was considered the whole plot, biceps femoris from the respective side was the sub-plot, and section within biceps femoris was the sub-sub-plot. Fixed effects included quality grade (QG), fabrication, section location, and day. Steak within location was the random term. Means were separated using the PDIFF option in LSMEANS with Tukey’s adjustment at α less than or equal to 0.05.
Results: Steaks fabricated traditionally lost more moisture thawing than steaks alternatively fabricated (P < 0.01). No other differences were observed for percentage thaw loss (P > 0.30). There was a fabrication × QG interaction for percentage cook loss (P = 0.05), wherein RS-LC steaks exhibited greater cook loss than LS-LC (P = 0.03). There was a fabrication × section interaction (P = 0.05) for WBSF, wherein RS-S2 steaks were less tender (P < 0.01) than all other steaks. Overall, steaks fabricated traditionally and from S2 were less tender (P < 0.01). Steaks from S1 and S3 exhibited similar WBSF (P = 0.50). As retail display days increased, color quality decreased. To highlight the fabrication, section, and QG effects, data were analyzed by day. There were no 2-way or 3-way interactions for L* or a* (P > 0.09). Prime steaks had greater L* (P ≤ 0.03; all days) and a* (P ≤ 0.01; days 1, 2, 3, 4, 5) than LC. On all days, S2 steaks were lighter (P < 0.05) compared with S1 and S3, which were similar (P > 0.05) on days 0, 1, and 3; however, on days 2, 4, and 5, S3 steaks were lighter (P < 0.05) than S1. Section effects for a* were different on days 1, 2, and 5 (P < 0.04). On days 1 and 2, S3 steaks were less red (P < 0.05) than S1, and on day 5, S2 was redder than S3 (P < 0.05). On days 1 and 2, RS steaks were lighter (P < 0.05) compared with LS steaks. Steaks from RS had greater (P < 0.05) a* on days 1, 2, 3, and 4 compared with LS. There was a fabrication effect for chroma on days 1, 2, and 3, wherein RS steaks were more saturated (P < 0.05) than LS. There was a QG effect on days 1, 2, 3, 4, and 5, as PR steaks were greater (P < 0.05) than LC. There was a section effect on days 1 and 2, wherein S1 steaks were greater (P < 0.05) than S3. On day 5, S2 steaks were greater (P > 0.05) than S3. For hue, LS steaks were greater (P < 0.05) on all days compared with RS. On days 0 and 1, S1 steaks had a lower hue value (P < 0.05) compared with S2 and S3. On day 2, S2 was greater (P < 0.05) than S1 but was similar (P > 0.05) to S3. For DE, there was a fabrication effect on days 1, 2, 3, and 4, as LS steaks had greater (P < 0.05) change compared with RS. There was a QG effect for all days, as LC steaks had greater (P < 0.05) change than PR. On day 5, there was a section effect, as S3 had greater (P < 0.05) change compared with S2.
Conclusion: Changes in fabrication techniques based on muscle fiber orientation and location within the bottom round showed improvements in tenderness. Although all samples would be considered tender according to WBSF, the differences are such that a consumer may still be able to detect difference. Therefore, these preliminary data suggest the dorsal and distal sections could be used as a value-added steak product; however, the medial section would still be best utilized as a roast product. A similar section trend follows for color evaluations, as the medial section was initially lighter and less red in color and had the greatest change over time, suggesting it would be least suitable for retail display. Further work needs to be done to characterize fiber type differences within the biceps femoris and trained taste panels to possibly further investigate differences in fabrication methods.
Funding Source: Georgia Commodity Commission for Beef (GACCB).
Keywords: tenderness, color, biceps femoris.
112 Shelf-Life and Color Stability of Deli-Style Ham and Turkey Slices Treated With Far Ultraviolet-C Light
Jonathan J. McDonald*, Hui Zhang, Jenny Park, Yi-Cheng Wang, and Bailey Harsh, University of Illinois, Urbana-Champaign, IL 61820, USA *jm93@illinois.edu
Introduction/Objectives: Ultraviolet light, specifically the 254-nm wavelength classified as ultraviolet-C (UVC; 200–280 nm), has been approved by the US Food and Drug Administration for surface microorganism control since the late 2000s, although it can pose a health risk to humans. Far-UVC (200–230 nm) is a safer wavelength range while remaining effective at microorganism control and may be an alternative to higher-wavelength UVC. Domestically, ready-to-eat deli meat sales have doubled in the past decade, with $48.6 billion of sales in 2024. With deli meat demand growing, food safety interventions are needed to reduce the risk of foodborne illness outbreaks. Prior research has reported 222-nm far-UVC had a 1-log reduction of salmonella and listeria in deli turkey meat. However, far-UVC effects on meat quality were not investigated. Therefore, the objective of the current study was to evaluate the impact of far-UVC treatment on deli turkey and ham visual quality over a 5-d period.
Materials and Methods: Commercially available presliced deli turkey quarter-loaves (N = 20) and deli ham loaves (N = 20), with 2 brands used for each protein source, were purchased. For each deli turkey quarter-loaf, the light-exposed face was discarded, then 3 consecutive 1.2- to 1.5-cm-thick slices were used for retail display. For deli turkey, 3 treatments were used: no far-UVC light (CON), 222-nm far-UVC light treated for 3 min to a dose of 337 mJ/cm2 (L-UVC), and 222-nm far-UVC light treated for 7 min to a dose of 786.3 mJ/cm2 (H-UVC). For deli ham loaves, loaves were sliced until diameter was consistent, and slices were selected similar to turkey. Only 2 treatments were applied to deli ham: CON and H-UVC. Retail display slices were placed in 25.4 × 20.4–cm 1.25-mm-thick Reloc Slider Deli Bags (FantaPak Co., Livonia, MI), assigned a random 3-digit number, and placed in a 3°C upright retail style display cooler under LED lights (4000K, ElectraLED, Inc., Clearwater, FL) for 5 d. Turkey and ham trials occurred separately with turkey packages left in the cooler for the entire 5 d, whereas hams remained in dark storage, preventing rapid surface discoloration, except for an hour daily for evaluation. Instrumental color (CIE L*, a*, and b*) and spectral data were collected with a HunterLab Miniscan EZ (Hunter Associates Laboratory Inc., Reston, VA) equipped with illuminant D65, 10° standard observer angle, a view area of 31.8 mm, and was calibrated with a black and white tiles. Six panelists evaluated samples on a 7-point hedonic scale (1 = very definitely would not purchase, 2 = definitely would not purchase, 3 = probably would not purchase, 4 = may or may not purchase, 5 = probably would purchase, 6 = definitely would purchase, 7 = very definitely would purchase). Visual likelihood of purchase and objective color were evaluated daily. Data were analyzed in SAS as a repeated-measures mixed model with main effect of treatment and day. Deli brand was included as a block. Means were sliced by day, and significance was determined at P < 0.05.
Results: In turkey, no treatment × day effect (P > 0.90) was observed for lightness (L*) or 570/650 nm ratio. No treatment × day effect was observed for redness (a*). CON turkey was 10.5% redder than L-UVC and H-UVC on day 2 of display (P < 0.05), which did not differ from each other (P = 0.56). A treatment × day effect was observed for yellowness (b*) and chroma (C*), with treatment differences observed on days 1, 2, and 3 of display. However, by day 4, no differences (P > 0.38) in yellowness or chroma were observed between treatments. H-UVC turkey had a 7.7% more saturated color (C*) and was 8.2% more yellow on day 1 of display than L-UVC and CON turkey (P < 0.05). CON turkey color was 2.9% less saturated and 3.2% less yellow on day 1 of display than L-UVC turkey (P < 0.05). On days 2 and 3 of retail display, H-UVC turkey color was 3.4% and 3.3%, respectively, more saturated (C*) and 3.7% and 3.5%, respectively, more yellow (P < 0.01) than L-UVC and CON turkey, which did not differ from each other (P > 0.75). A treatment effect was observed for day 1 to day 5 ΔE (P < 0.03). H-UVC turkey had, on average, a 23.7% greater color change (ΔE) than L-UVC and CON (P < 0.01), which did not differ from each other (P = 0.08). There was a treatment × day effect observed for visual likelihood of purchase only on day 5 of display (P = 0.03). On day 5 of display, CON and L-UVC turkey had greater purchase intent scores than H-UVC turkey (P < 0.05) and did not differ from each other (P = 0.64). There was no treatment or treatment × day effect for ham visual likelihood of purchase, lightness (L*), redness (a*), or 570/650 nm ratio on any display day (P > 0.16). A treatment effect was observed for yellowness (b*) and day 1 to day 5 ΔE (P < 0.03). H-UVC ham was 3.8% more yellow than CON ham on day 1 of display (P < 0.01). CON ham had a 9.5% greater color change (ΔE) from day 1 to day 5 of retail display than H-UVC ham (P = 0.03). A treatment effect was observed for chroma (C*; P = 0.04). H-UVC ham had a 1.2% more saturated color (C*) than CON ham (P = 0.04).
Conclusion: Instrumental color differences were found between far-UVC–treated deli meat and nontreated deli meat, yet these differences did not translate to meaningful differences in likelihood of purchase for evaluators. Therefore, the far-UVC light treatment doses used in the present study would not be expected to detrimentally affect meat quality during retail shelf display. However, the authors observed deli turkey samples appeared to be very yellow immediately after far-UVC treatment with the color returning to near normal values prior to initiation of shelf-life study. For that reason, as well as the long treatment times required, far-UVC light treatment may not be practical for immediate use on fresh sliced deli meat in brick-and-mortar stores. However, far-UVC light treatment may have applications in large production plants as a postpacking microbial intervention or for use on deli counters and slicing equipment.
Funding Source: This work is supported in part by the US Department of Agriculture’s National Institute of Food and Agriculture Food Safety and Defense Program (2022-67017-36291).
Keywords: deli meat, ultraviolet, shelf life, ham, turkey.
Meat and Poultry Quality and Composition - Measurement and Prediction
113 Prediction of Beef Carcass Composition From Millimeter Radar Scans Using Data Augmentation, and Machine Learning Methods
Jacob McMillan*, Dale Woerner, Andres Mendizabal, Victor Sheng, Rohit Soni, and Blake Foraker, Texas Tech University, Lubbock, TX 79409, USA *jacob.mcmillan@ttu.edu
Introduction/Objectives: Many metrics have historically been used to determine the saleable yield of beef carcasses. Recent developments in technology have given us the opportunity to reevaluate how we determine saleable yield. Computed tomography (CT) scans are a useful tool in determining the composition of carcasses through the differentiation of tissues like muscle, fat, and bone. This is a very accurate, noninvasive method of determining total carcass composition. Our first objective was to build a machine learning model to process spatial point cloud data obtained from millimeter radar measurement of live cattle to accurately predict the CT composition of beef carcasses. A subsequent part of training the model was to digitally replicate the point clouds using data augmentation techniques to train the machine learning model with a larger sample size. The second objective of this study was to validate the CT composition model against its directional relationship with saleable subprimal yield.
Materials and Methods: To obtain training data, cattle (n = 95) were harvested at the Washington State University (WSU) Meat Laboratory. Millimeter radar measurements (SizeR, Geissler Corporation, Minneapolis, MN) of fed steers and heifers and mature cows were taken immediately prior to harvest. Live weight was obtained using a certified scale immediately after scanning with the radar system and before stunning. After chilling, carcass left sides were separated into primal cuts. These cuts were CT scanned (Aquilion 16, Toshiba Medical Systems, Tokyo, Japan) at WSU Veterinary Teaching Hospital. The scans for each cut were imported as image sequences to ImageJ for data processing. Each sequence was converted to 32-bit, and a histogram of pixels binned at 2500 one-unit intervals from −500 to +1999 Hounsfield units (HU), was created. Muscle, fat, and bone were segmented by applying a curvilinear function to the pixel density across HU. Thresholds for each tissue were determined at inflection points on the function. A 3-dimensional convoluted neural network model (3D-CNN) was built in Python with the help of researchers from the Department of Computer Science at Texas Tech University. The model was designed to predict (output) CT volumes of muscle, fat, and bone tissues based on the point cloud data from each individual animal’s millimeter radar scan (input). To obtain testing data for the model, fed steers (n = 37) were harvested at West Texas A&M University Meat Science Laboratory. Millimeter radar measurements of live animals were taken immediately prior to harvest, and subprimal cutout data were collected. Although true CT volumes were not collected on these carcasses, their cutout yields were tested against the CT predictions of the 3D-CNN. Comparisons were made between predicted volumes and real cutout weights as well as percentages for each of those factors. All data analysis was done in RStudio software using Pearson correlations.
Results: On the training data set (n = 95), in which true CT volumes are a known variable, the model performed adequately. The 3D-CNN’s predicted percentages of muscle, fat, and bone were moderately related to true values, with R2 of 0.47, 0.51, and 0.51, respectively. Additionally, predicted total carcass volumes were also moderately related to true values with R2 of 0.52. Although the training model was not developed to directly predict saleable yield, it was believed that saleable yield would be directionally related to CT tissue composition. Of carcass tissues, bone predicted from millimeter radar measurements was most related to actual CT bone weight (R2 = 0.12). Additional modeling and data processing are required to achieve higher accuracies in validating the use of morphological measurements to predict tissue volumes.
Conclusion: Although the 3D-CNN model demonstrated moderate effectiveness in predicting CT composition of beef carcasses, the validation of such a model on a testing data set indicated opportunity for improvement. Adjustments to model’s architecture are still ongoing, and further use of data augmentation and data preprocessing could provide greater accuracy. The use of a machine learning model to predict not only composition but also saleable yield of beef carcasses is very possible with current technology; however, considerable work remains to have more confidence in such a model.
Funding Source: Funded by The Beef Checkoff.
Keywords: neural network, yield prediction, computed tomography.
114 Impact of Different Processing Plants and Further Processing Facilities on Ground Beef Color Stability and Reducing Ability
Ashley Rivera1*, Cameron Catrett1, Morgan Denzer1, Edward Yancey2, Jacob R. Tuell3, and Derico Setyabrata1, 1Department of Animal Science, University of Arkansas, Fayetteville, AR 72701, USA, 2Tyson Foods Inc., Springdale, AR 72762, USA, 3School of Agricultural Sciences, Northwest Missouri State University, Maryville, MO 66468, USA *ashpau27@gmail.com
Introduction/Objectives: Color deterioration is a major meat quality defect that often leads to product rejection and decreased retail sales. Color stability is influenced by the oxygen consumption rate and metmyoglobin-reducing ability of the product. Although it has been documented that color quality and shelf life are highly dependent on intrinsic meat characteristics, information on the influence of postmortem environment in color quality remains limited. Hence, this study aims to evaluate how different production plants and processing facilities affect the color quality of ground beef.
Materials and Methods: Ground beef chuck chubs (80% lean, 20% fat) from 3 different batches were collected from 2 beef processing source plants managed by the same company (SP1 and SP2, n = 3/source plant). Chubs were collected from ground beef produced 3 d prior to the collection. Chubs were collected simultaneously from both source plants on the same day to ensure similar postprocessing product age and then transported to the University of Arkansas (UARK; ∼7.5 h from each plant). Samples were placed in coolers with ice, and the temperature was checked regularly to ensure product temperature did not reach higher than 4°C. The next day, the samples were randomly assigned for further processing at either UARK or the Northwest Missouri State University (NWMSU) facility. Samples designated to NWMSU facilities were then transported to the facility in a manner similar to that previously described (∼5.5 h). All samples were further processed simultaneously in each facility by regrinding samples using an identical 3-mm plate to form 450-g ground beef loaves (n = 2/batch). Samples were overwrapped with oxygen-permeable polyvinyl chloride film on foam trays with soaker pads. Samples from NWMSU were then transported back to UARK in a similar manner as previously described, with a shelf in the cooler to reduce the impact of product stacking. All samples (UARK and NWMSU) were simultaneously displayed at the UARK facility immediately upon arrival for 5 d in a simulated retail display under light. The redness (a*), chroma, oxygen consumption rate (OC), and metmyoglobin-reducing ability (MRA) were determined for all samples before and after display using HunterLab MiniScan. The study design was a randomized complete block with split-split-plot arrangement, and the study was repeated twice. The processing source plants, further processing facilities, display day, and their interactions were fixed effects, whereas batch was the random effect. The collection period served as the block, the processing source plants as the whole plot factor, the further processing facilities as the split-plot factor, and the display day as the split-split-plot factor. Data were analyzed using the lme4 and emmeans packages in RStudio. Means were separated (F-test, P < 0.05) by least significant differences.
Results: Significant color source plant and day interaction was observed for both redness (a*) and chroma, exhibiting reduced color stability on samples from SP2. A similar redness value was observed at day 1 (d1) of the display regardless of the source plant (P > 0.05). However, SP1 had a greater a* at day 5 (d5) of the display compared with SP2 samples (P < 0.05). For chroma, SP2-d1 had the greatest color saturation, followed by SP1-d1, SP1-d5, and SP2-d5, which had the lowest color saturation (P < 0.05). The MRA of the samples was significantly impacted by a source plant × further processing facility × day interaction. At d1 of display, the SP2-UARK samples exhibited lower reducing ability compared with SP2-NWMSU samples (P < 0.05), although not different compared with both SP1-UARK and SP1-NWMSU samples (P > 0.05). At d5 of the display, however, SP1 samples were observed to have greater reducing ability compared with SP2, regardless of the further processing facilities (P < 0.05). A significant source plant × day interaction was observed on the OC of the samples. Although not different on d1 of display (P > 0.05), SP1 exhibited greater OC compared with SP2 at the end of the display (P < 0.05), potentially contributing to the greater color observed in SP1. Similarly, a further processing facility × day interaction significantly impacted the OC of the product, showing a lower OC on NWMSU-d5 samples compared with all other treatments (P < 0.05).
Conclusion: The results of this study suggested that the color stability and reducing capability of ground beef were greatly influenced by the processing source plant. Further processing facilities only minimally impacted the color quality, mainly by altering the OC and MRA of the product. Investigation on the impact of microbial community alterations on the color quality is currently in progress.
Funding Source: Research coordinated by the National Cattlemen’s Beef Association, a contractor to the Beef Checkoff.
Keywords: color stability, ground beef, shelf life, reducing ability, postmortem environment.
115 Characterizing the Reflectance and Scattering Properties of Psoas Major and Longissimus Lumborum Muscles During Retail Display Using Noncontact Diffuse Reflectance Spectroscopy and Optical Coherence Tomography
Daqing (Daching) Piao1*, Scott Mattison1, Ardalan Farazmand1, Nafiseh Farahzadi1, Anuj Sharma2, and Ranjith Ramanathan2, 1School of Electrical and Computer Engineering, Oklahoma State University, OK 74078, USA, 2Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA *daqing.piao@okstate.edu
Introduction/Objectives: Meat color is an important sensory attribute that influences purchasing decisions. Surface measurement of color is based on the spectral changes in diffuse light reflection. More specifically, spectral characteristics are influenced by the absorption of chromophores such as myoglobin. We recently developed and published a noncontact diffuse reflectance spectroscopy (DRS) approach to quantify metmyoglobin formation during storage. Surface measurement of diffuse light reflection is also affected by the scatterers in the meat matrix, including muscle fibers. Therefore, assessing both absorption and scattering of the muscle may enable a more robust prediction of discoloration. The optical coherence tomography (OCT) provides high-resolution, cross-sectional imaging of biological tissues, most commonly in medical diagnostics. The objective of the current study was to use muscles of contrasting color stability (longissimus lumborum [LL] and psoas major [PM]) to investigate a combination of noncontact DRS and OCT imaging to understand light reflectance and scattering properties during retail display.
Materials and Methods: Eight USDA Choice Porterhouse steak sections (containing LL and PM muscles) were purchased from local purveyors. The muscles were approximately 21 d postmortem. Muscles were sliced into 2.54-cm-thick Porterhouse steak, packaged immediately after cutting in white Styrofoam trays with socker pads, and overwrapped with polystyrene polyvinyl chloride film (15,500–16,275 cm3, O2/m2/24 h at 23°C). All steaks were placed in a coffin-style retail display case for up to 4 d at 2±1°C, during which there was continuous LED lighting at 1,100 lux. All packages were rotated daily to minimize the effects of variation in light intensity or temperature due to location. Surface color, myoglobin form, and scattering of the steaks were measured repeatedly using a handheld colorimeter, noncontact DRS, and OCT during 4 d of storage. Raw instrumental color of the steaks was measured daily using a HunterLab 4500L MiniScan EZ spectrophotometer (2.5-cm aperture, illuminant A, and 10° standard observer angle). The instrument color was measured at 3 randomly selected positions on both the PM and LL muscles. Both a* values and percentage metmyoglobin from reflectance measurements were used to characterize color changes with storage time. The PM and LL muscles of each steak were measured by noncontact DRS at 5 randomly selected positions on each muscle to quantify surface myoglobin forms. Subsequently, the PM and LL muscles of each steak were placed under noncontact OCT to image at 5 randomly selected positions on each muscle. To compare scattering properties of 2 muscles, the penetration depth (for signal-to-noise ratio > 2) and signal decay rate (dB/mm) of OCT was characterized. The experimental design was a randomized complete block. The loin from each animal served as a block—that is, each loin was used as a random term. The main effects include muscle type, days of retails display, and their interactions. The data were analyzed using the Proc Mixed Procedure of SAS and considered significant at P value less than 0.05. The Repeated option in MIXED was used to model the covariance structure caused by repeated measurements on the same sample during storage.
Results: There was a significant muscle type × storage time interaction (P < 0.05) result for metmyoglobin and a* values. As expected, PM steaks discolored more (P < 0.05) than LL on day 4 of storage. HunterLab MiniScan and noncontact DRS had a similar trend, indicating discoloration with storage time. The main effect of muscle type (P < 0.05) was significant for scattering properties. Psoas muscles had significantly different scattering properties (P < 0.05) than LL muscles. For example, the depth of penetration of PM was 2.26 ± 0.41 mm compared with (P < 0.05) 1.5 ± 0.20 for LL.
Conclusion: Noncontact dual-modality DRS and OCT have been applied to assess the discoloration of PM and LL. Noncontact DRS revealed changes of myoglobin forms consistent with those estimated by using measurements of the HunterLab MiniScan spectrophotometer. The PM muscles showed greater penetration of OCT signals accompanied with slower rate of signal decay, indicating a more isotropic scattering that may suggest smaller fiber sizes. This work has demonstrated using OCT to provide scattering-related depth-resolvable muscle morphology information that is inaccessible to noncontact DRS. Developing novel tools will help with understanding meat discoloration and minimize losses from wasting discolored beef.
(Left): Metmyoglobin assessed using contact colorimeter and non-contact diffuse reflectance spectroscopy over day 0 to day 4, between PM and LL muscles. (Right) Penetration depth and signal to noise ratio of the back-scattered light measured by optical coherence tomography over day 0 to day 4, between PM and LL muscles.
Funding Source: US Department of Agriculture National Institute of Food and Agriculture (100005825) (2022-67017-36538) grant program.
Keywords: myoglobin, DRS, OCT, PM, LL.
Meat and Poultry Quality
116 Inclusion of Lubabegron Fumarate and Betaine in Beef Feedlot Diets and Impacts on Carcass Characteristics, Water-Holding Capacity, Tenderness, and Shelf Life
Amy Volk1*, Kendall Swanson1, Christy Finck1, Kiersten Gundersen1, Wanda Keller1, Jacob Arntzen1, Jessica Syring1, Kasey Maddock-Carlin1 and Zach Carlson2, 1Animal Sciences, North Dakota State University, Fargo, ND 58105, USA, 2Danisco Animal Nutrition and Health, Cedar Rapids, IA 52404, USA *amy.l.volk@ndsu.edu
Introduction/Objectives: Lubabegron fumarate (LUB), a β-adrenergic modulator used in beef feedlot diets, has been shown to improve lean beef yields but may reduce marbling scores and tenderness. Conversely, betaine (BET), a naturally occurring osmolyte and methyl donor, has been shown to increase fat deposition in beef cattle. Furthermore, betaine supplementation has demonstrated improvements in tenderness and cook loss in lamb and pork, although research on its effects on beef quality is limited. The objectives of this study were to evaluate the combined effects of LUB and BET supplementation on beef carcass characteristics, meat quality, tenderness, and shelf life of beef striploins.
Materials and Methods: All animal procedures were approved by the North Dakota State University (NDSU) Institutional Animal Care and Use Committee (Protocol #20240033). Fifty-three steers (476 ± 5.3 kg initial body weight), predominantly of Angus and Simmental breeding, were stratified by weight and randomly assigned to treatment in a 2 × 2 factorial arrangement, wherein diets were supplemented with or without LUB (0.032% of dry matter [DM] for 56 d, starting 63 d before slaughter, followed by a 7-d withdrawal) and supplemented with or without BET (0.28% of DM for 7 d before slaughter). Steers received a growth-promoting implant (200 mg trenbolone acetate, 20 mg estradiol 17β+, and 29 mg tylosin tartrate; Elanco Animal Health) and were fed a diet containing 10% forage (corn silage and grass hay) and 90% concentrate (dry-rolled corn, dried grains with solubles, urea, limestone, salt, vitamin and trace mineral mix, and monensin). Steers were transported to a commercial beef processing plant on 2 different days. Carcass data (hot carcass weight [HCW], dressing percentage, ribeye area, 12th-rib backfat, KPH, and marbling score) were collected, and US Department of Agriculture (USDA) Final Yield Grade was determined; striploins (Institutional Meat Purchase Specifications #180, N = 53) were transported to NDSU Meat Science Laboratory for further fabrication and analyses. The loins were aged in vacuum packaging for 14 d at 4°C. Loins were fabricated into four 2.5-cm-thick steaks for further analysis. Tenderness was evaluated by Warner-Bratzler shear force (WBSF) on day-14 and day-21–aged steaks, with cook loss percentage calculated. Drip loss was measured with 14-d–aged, 50-g samples that were either suspended for 48 h or were stored in plastic storage bags for 6 d. Simulated retail display was evaluated on day-14–aged steaks placed on Styrofoam trays overwrapped with PVC, displayed in a retail cooler for 14 d where daily measurements of L*, a*, and b* were taken with a Minolta colorimeter. Data were analyzed using PROC MIXED in SAS as a randomized complete block design for effects of treatments and their interaction, with initial weight as a covariate for HCW and dressing percentage and marketing date as the covariate for all other traits. Means were considered significant when P value was less than 0.05.
Results: LUB increased (P = 0.03) HCW, and there was a tendency for an interaction between LUB and BET on HCW (P = 0.07) and dressing percentage (DP; P = 0.06), in which steers fed BET tended to have higher HCW and DP when also fed LUB. LUB decreased (P < 0.05) marbling score and USDA Yield Grade and increased (P = 0.03) ribeye area. BET increased (P < 0.05) USDA Yield Grade and 12th-rib backfat. LUB increased (P < 0.02) 14-d purge loss in boneless striploins. BET tended (P < 0.08) to decrease purge loss and drip loss. Neither LUB nor BET impacted (P > 0.05) kidney, pelvic, and heart fat, cook loss, or water loss. Striploins aged for 14 d were not impacted (P > 0.05) by LUB or BET for WBSF; however, d-21 striploins had greater (P < 0.01) shear force values when LUB was fed. LUB and BET did not affect (P > 0.05) L* values on steaks displayed for 14 d. However, LUB decreased (P < 0.05) a* values after day 10. When LUB was supplemented, BET decreased (P < 0.03) a* and b* on day 2 of retail display.
Conclusion: LUB supplementation improved carcass yield but negatively impacted tenderness and increased purge loss. BET supplementation tended to reduce purge loss and may help mitigate some of the LUB-related moisture loss. However, BET increased backfat, leading to higher USDA Yield Grades. Although LUB decreased redness of steaks in simulated retail display, this effect was not apparent until after day 10 beyond typical retail display durations.
Funding Source: College of Agriculture, Food Systems, and Natural Resources, North Dakota State University, Fargo, North Dakota, and Danisco Animal Nutrition and Health, Cedar Rapids, Iowa.
Keywords: lubabegron, betaine, beef, quality, shelf life.
Meat and Poultry Quality and Composition - Measurement and Prediction
117 Evaluating Beef Conformation as a Predictor of Carcass Cutout Value
Mark Miller and Anna Carlock, Department of Animal and Food Sciences, Texas Tech University, Lubbock, TX 79409, USA *mfmrraider@aol.com
Introduction/Objectives: Standard grading systems emphasize ribeye area and subcutaneous fat thickness, but these traits alone may not capture the full spectrum of carcass composition. This study investigates whether paired carcasses that differ only in conformation score exhibit consistent differences in red meat yield (RMY) and cutout value and seeks to identify which readily measured linear dimensions best predict those differences. Improved understanding of conformation effects could refine carcass evaluation protocols and strengthen value-based marketing and breeding strategies.
Materials and Methods: Thirty-one carcass pairs (n = 62) were selected from the holding cooler chain at Nebraska Beef (Omaha, NE) immediately before grading. Pairs were matched based on similar hot carcass weight (HCW) and fat thickness to isolate conformation: 1—light muscled (dairy typed)—to 8—heavy muscled (double-muscled beef type)—and ribeye area as the primary variables. On each carcass, trained personnel recorded 23 linear measurements—including vertebral spans, aitch-bone lengths, rib spans, and limb girths—using a calibrated tape measure; mean values were used for analysis. In addition, each carcass was scanned using Polycam on an iPad to generate a high-resolution 3D surface mesh, capturing muscle bulge and curvature. Each carcass was then fabricated into US Department of Agriculture–standard primals (brisket, chuck, rib, loin, round) and subprimals; all saleable lean cuts, fat trimmings, and bone segments were weighed to ±1% accuracy. Total RMY (kg and %) and cutout value (USD per 100-lb HCW) were calculated. Paired t-tests (for normal data) compared high- versus low-conformation carcasses (α = 0.05).
Results: The difference in conformation score between paired carcasses ranged from 2 to 6 points, with nearly half of the pairs exhibiting a 4-point gap (48.4%). Although HCW, cold carcass weight, and fat thickness were effectively held constant (P > 0.24), high-conformation carcasses averaged a 1.74-cm2-larger ribeye area (P < 0.001) and a 0.63-unit improvement in yield grade (P < 0.001). Among the 23 linear measurements, 10 showed significant negative mean differences—indicating a more compact build in high-conformation carcasses. The largest reductions occurred in spans from the first rib to the aitch-bone (–6.27 cm, P < 0.001) and from the thoracic to lumbar vertebrae (–5.22 cm, P < 0.001). Smaller but still significant contractions were also seen in hip and loin regions (P < 0.02), whereas limb girths and certain rib cut lengths remained unchanged (P > 0.18). High-conformation carcasses delivered 1.92 percentage points more saleable lean meat (48.70% vs. 46.78%; P < 0.001) and added USD 7.12 per 100-lb carcass in cutout value (P = 0.0026). When broken down by primal, the round showed the most pronounced gains—0.85% higher yield (P = 0.0001) and USD 3.89 greater value (P = 0.0007)—whereas other primals exhibited positive but nonsignificant trends.
Conclusion: These results demonstrate that carcass conformation exerts a measurable impact on both RMY and economic value beyond traditional ribeye and fat metrics. Incorporating aitch-bone and vertebral span measurements—or even simple tape-measure surrogates—into grading could improve prediction of saleable meat and carcass worth. As an early phase of a larger project, this work underscores the potential for conformation-based selection and value-based marketing to enhance consistency, efficiency, and profitability throughout the beef supply chain. Future work will expand sample size, refine 3D imaging protocols, and explore genetic and management interactions that drive conformation and yield.
Paired Comparison of 23 Carcass Metrics Between High and Low Conformation Groups (n = 31)
| 1st Rib to Anterior Aitch Bone Length | 143.2419 | 149.5161 | −6.2742 | 4.3337 | <0.001 |
| 1st Rib to 13th Rib Length | 73.6613 | 76.3710 | −2.7097 | 2.9184 | <0.001 |
| 1st Thoracic to Last Lumbar Vertebrae Length | 109.7581 | 114.9758 | −5.2177 | 6.4909 | <0.001 |
| Bottom of 6th Rib to 12th Rib Cut Length | 45.3629 | 46.2742 | −0.9113 | 3.6966 | 0.1801 |
| Cervical Length (Atlas to Last Cervical Vertebra) | 44.7258 | 48.5726 | −3.8468 | 7.9474 | 0.0114 |
| Sternum Length | 43.9758 | 45.6613 | −1.6855 | 4.6012 | 0.0503 |
| Lower Foreshank Circumference | 39.4274 | 39.2661 | 0.1613 | 2.9830 | 0.7655 |
| Upper Foreshank Circumference | 73.7581 | 74.0242 | −0.2661 | 3.9168 | 0.7079 |
| Triceps End to Shoulder End Length | 51.6613 | 49.9919 | 1.6694 | 6.0767 | 0.1366 |
| Foreshank End to 1st Rib Transverse Process Length | 109.6774 | 113.3790 | −3.7016 | 4.3810 | <0.001 |
All measurements in centimeters (cm), Linear Measurements across the carcass.
High Mean: Carcass with the higher conformation score in each matched pair.
Low Mean: Carcass with the lower conformation score in each matched pair.
Mean Difference = High Mean – Low Mean for each paired observation.
SD = standard deviation of the paired differences.
P-values are from 2-tailed paired t-tests.
Paired Comparison of 23 Carcass Metrics Between High and Low Conformation Groups (n = 31)
| Measurements1 | High Mean2 | Low Mean3 | Mean Difference4 | SD5 | P-value6 |
|---|---|---|---|---|---|
| Heel Circumference | 51.3387 | 50.8065 | 0.5323 | 4.0331 | 0.4682 |
| Patella (Round) Circumference | 81.0968 | 82.9032 | −1.8065 | 10.0504 | 0.3250 |
| Heel-Round Point Length | 40.2581 | 42.1290 | −1.8710 | 4.8390 | 0.0395 |
| Posterior Aitch Bone to Hind-Shank Length | 77.3548 | 80.3226 | −2.9677 | 3.9769 | <0.001 |
| Anterior Aitch Bone to Hind-Shank Length | 81.2258 | 84.6452 | −3.4194 | 4.2369 | <0.001 |
| Posterior Aitch Bone Circumference | 123.3871 | 122.8548 | 0.5323 | 3.5424 | 0.4095 |
| Anterior Aitch Bone Circumference | 126.7581 | 127.2581 | −0.5000 | 5.8992 | 0.6404 |
| Anterior – Posterior Aitch Bone Length | 18.8710 | 20.2258 | −1.3548 | 1.5011 | <0.001 |
| Last Lumbar to Anterior Aitch Bone Length | 24.4355 | 26.4194 | −1.9839 | 4.2239 | 0.0138 |
| Last Lumbar to 7th Sacral Length | 32.7419 | 34.6290 | −1.8871 | 3.0868 | 0.0019 |
| Posterior Aitch Bone to 7th Sacral Length | 25.0645 | 24.5484 | 0.5161 | 2.3752 | 0.2358 |
| Last Lumbar to Posterior Aitch Bone Length | 37.0323 | 38.4516 | −1.4194 | 3.0389 | 0.0143 |
| Anterior Aitch Bone to 7th Sacral Length | 29.4032 | 29.4677 | −0.0645 | 3.0076 | 0.9057 |
Paired Comparison of Key Carcass Traits Between High and Low Conformation
| Trait | High Mean1 | Low Mean2 | Mean3 Difference | SD4 | P-value5 |
|---|---|---|---|---|---|
| Hot Carcass Weight6 | 490.0000 | 492.0000 | −1.6800 | 8.5100 | 0.280 |
| Cold Carcass Weight6 | 491.0000 | 493.0000 | −2.6400 | 12.3000 | 0.243 |
| Fat Thickness6 | 3.4100 | 3.4600 | −0.0452 | 0.3250 | 0.446 |
| Ribeye Area (cm2)6 | 17.5000 | 15.8000 | 1.7400 | 2.3400 | <0.001 |
| Conformation6 | 6.0600 | 2.3200 | 3.7400 | 1.0300 | <0.001 |
| Yield Grade6 | 2.5200 | 3.1500 | −0.6320 | 0.9170 | <0.001 |
Funding Source: Texas Tech Department of Animal and Food Sciences.
Keywords: meat yield, conformation, cutout value.
Environment, Production Systems
118 Gut Microbiota of Channel and Hybrid Catfish Under Ammonia Stress Revealed by Full-Length 16S Ribosomal RNA Nanopore Sequencing
Guyue Tang1,*, Wes Schilling1, Peter Allen1, Li Zhang1, Chuan-yu Hsu1, Ryen Comey1, Emily Little2, Daniel Joyce1, Brian Ott2, Geoff Waldbieser2, and Xue Zhang1, 1Mississippi State University, Starkville, MS, USA, 2US Department of Agriculture (USDA)-Agricultural Research Service (ARS), Warmwater Aquaculture Research Unit: Stoneville, MS, USA *gt467@msstate.edu
Introduction/Objectives: The gut microbiome plays a vital role in catfish health, immunity, and nutrient absorption. In catfish aquaculture, environmental stressors, such as high ammonia concentration, may cause compromised growth and disease susceptibility. Although channel catfish (Ictalurus punctatus) historically dominated US catfish production, hybrid catfish (♂Ictalurus furcatus × ♀I. punctatus) have gained popularity due to faster growth, improved disease resistance, and higher yield. However, little is known about how ammonia stress affects the gut microbiota of these 2 fish types. Therefore, the objectives of this research are to (1) characterize the intestinal microbiota of channel and hybrid catfish under control and ammonia stress conditions and (2) determine the effects of fish types and ammonia stress on gut microbial composition and diversity.
Materials and Methods: Channel (n = 120) and hybrid (n = 120) catfish were raised in 200-L tanks for 5 wk under 2 ammonia conditions: control (0.8–0.9 mg N/L total ammonia [15–19 μg N/L unionized ammonia]) and high ammonia stress (13–16 mg N/L total ammonia [190–210 μg N/L unionized ammonia]). Each tank (n = 30 fish, 99–166 g per fish) was randomly assigned to 1 of the following 4 treatments: channel catfish control (CC), channel catfish under high ammonia stress (CA), hybrid catfish control (HC), and hybrid catfish under high ammonia stress (HA). A split-plot arrangement in a randomized complete block design, with 2 replications (occasions), was used to determine the impact of the 4 treatments on the gut microbiota. At harvest, intestine content (n = 12/treatment) from fish was collected for microbiome analysis. Total genomic DNA (gDNA) was extracted using the QIAamp PowerFecal Pro DNA Kit (Qiagen, Germantown, MD) with a modified protocol. The quantity and quality of extracted gDNA were checked using Nanodrop 2000 spectrophotometer (Thermofisher Scientific, Waltham, MA) and agarose gel electrophoresis, respectively. A quantitative polymerase chain reaction (PCR) assay targeting bacterial 16S ribosomal RNA (rRNA) gene was used to normalize bacterial DNA amounts, ensuring equal amounts of bacterial gDNA template for PCR amplification. Full-length 16S rRNA (V1–V9 region) were amplified using primers 27F and 1492R. After PCR product cleanup and quantification, 150 ng of purified PCR amplicon from each sample was barcoded using the Nanopore Native Barcoding Expansion 96 Kit (Oxford Nanopore Technologies, Oxford, UK). Pooled samples were purified with AMPure XP beads (Beckman Coulter, Brea, CA) ligated with native barcoding sequencing adapters and loaded onto Nanopore R10.4.1 flow cells (Oxford Nanopore Technologies) for a 24-h sequencing run on a GridION platform (Oxford Nanopore Technologies). Basecalling and demultiplexing were performed using Guppy. Sequences were processed in Emu v3.4.5 and analyzed in R (v4.3.2). α diversity was evaluated using Chao1 and Shannon indices, whereas β diversity was calculated using Bray-Curtis dissimilarity and visualized via principal coordinate analysis. Relative abundances at the genus and species levels were compared using the Kruskal-Wallis test with Dunn’s post hoc test and Benjamini-Hochberg correction.
Results: Hybrid catfish exhibited significantly greater species richness than channel catfish (Chao1, P < 0.05), whereas species evenness (Shannon index) did not differ (P > 0.05) among treatments. β diversity analysis based on species data indicated differences between fish species (P < 0.05) but not between ammonia treatments (P > 0.05). Channel catfish displayed more variability in microbial profiles, whereas hybrid catfish exhibited tighter clustering, suggesting a more uniform microbiota. At the genus level, the 9 most abundant genera identified across all samples were Lactococcus, Cetobacterium, Romboutsia, Plesiomonas, Exiguobacterium, Paracoccus, Deinococcus, Clostridium, and Gemmobacter. Lactococcus was the dominant genus across all treatments but was particularly more abundant (P < 0.05) in hybrid catfish (61.9% in HA and 40.0% in HC) than channel catfish (27.9% in CA and 21.7% in CC). In hybrid catfish, most other genera accounted for less than 10% of the microbial composition due to the nearly 50% dominance of Lactococcus. In contrast, channel catfish maintained a more evenly distributed microbiota. Notably, for the top 3 prevalent genera (Lactococcus, Cetobacterium, and Romboutsia), differences in the relative abundance were primarily driven by fish species rather than ammonia exposure. At the species level, the top 6 dominant bacterial species identified were Lactococcus lactis, Cetobacterium somerae, Romboutsia timonensis, Lactococcus garvieae, Plesiomonas shigelloides, and Exiguobacterium sp. AT1b. L. garvieae was relatively more prevalent (P < 0.05) in hybrid catfish (∼10% relative abundance) compared with channel catfish (∼5%). Given that L. garvieae is a known fish pathogen, its elevated presence in hybrid catfish may have health implications. Ammonia stress had a limited impact on microbiota diversity or community structure. Differences in the relative abundance for dominant bacterial taxa were primarily driven by fish type rather than ammonia exposure. The tighter clustering of microbial communities in hybrid catfish may reflect a response to suboptimal growing conditions.
Conclusion: This study demonstrates that host species is the primary determinant of gut microbiota composition in catfish, with hybrid catfish exhibiting higher species richness but lower microbial balance due to the dominance of L. lactis. In contrast, channel catfish maintained a more diverse and balanced microbiota with significant representation of C. somerae and R. timonensis, which may provide digestive and immune benefits. Although elevated ammonia levels negatively impaired the growth performance in both species, they did not significantly alter microbial diversity or community structure under the tested conditions. These findings highlight the stronger influence of host species over environmental factors in shaping the intestinal microbiome of catfish.
Funding Source: This research was supported by the US Department of Agriculture (USDA)-Agricultural Research Service (ARS) Mississippi Center for Enhancing Utilization and Safety of Catfish and Other Aquatic Food.
Keywords: gut microbiota, catfish, ammonia stress.
Meat and Poultry Quality
119 Exploring the Functional Role of Spoilage Bacterial Growth on Beef Longissimus Lumborum Color During Retail Display
Colton L. Smith*, Ifigenia Geornaras, Jessica L. Metcalf, Jessica E. Prenni, Robert J. Delmore, and Mahesh N. Nair, Colorado State University, Fort Collins, CO 80523, USA *coltonlevismith@gmail.com
Introduction/Objectives: Beef wastage due to discoloration during retail display results in an economic loss of more than $3.7 billion for the beef industry every year. The intrinsic biochemical basis for meat color and discoloration has been well characterized, but the role of extrinsic factors on meat discoloration is not fully understood. Specifically, the functional role of spoilage bacterial growth on meat color stability remains to be thoroughly investigated. Previous studies have indicated that the growth of spoilage bacteria during retail display results in a significant decrease in the color stability of aerobically packaged beef. The objective of this study was to explore the functional role of spoilage bacteria on fresh beef longissimus lumborum (LL) steak discoloration during retail display using a multi-omic approach to characterize the microbial composition, changes in bacterial metabolism, and changes in metabolites.
Materials and Methods: Ten (n = 10) US Department of Agriculture Select beef striploins (LL) were wet aged (2°C, 14 d). Following aging, they were decontaminated by immersion in boiling water. After decontamination, the boiled surface was aseptically removed, and loins were fabricated into 1-cm-thick steaks. Steaks were randomly assigned to a decontaminated control treatment (DCON) or were inoculated (∼4 log CFU/cm2; INOC treatment) on the upper, light-exposed surface with a mixture of 6 beef spoilage bacteria consisting of 3 Pseudomonas spp. and 3 lactic acid bacteria (LAB). The steaks were wrapped in oxygen-permeable film on soaker pad–lined foam trays and retail displayed for 8 d. One steak per treatment per striploin was analyzed daily for objective and subjective color, microbial load, lipid oxidation (thiobarbituric acid reactive substances [TBARS]), 16S ribosomal RNA (rRNA) gene sequencing, metatranscriptomics, and surface metabolomics. Objective color measurements (L*, a*, b*) were obtained with a HunterLab Miniscan. Six to 8 trained panelists evaluated surface redness on a scale of 1 to 8, with 1 being reddest, and percentage discoloration from 0% to 100%. The culture-dependent microbial analysis included determination of aerobic plate counts, Pseudomonas spp. counts, and LAB counts reported as log CFU/cm2. The TBARS and pH were measured using the top 2 mm of the light-exposed surface of each steak. The pH was measured after homogenizing meat in water (1:5). The metabolite analysis was performed using gas chromatography–mass spectrometry. All INOC samples were analyzed for 16S rRNA gene sequencing. A subset of samples was analyzed by metatranscriptomics and metabolomics. Specifically, 4 samples from display days 3 to 6 representing both treatments from the same striploin were analyzed for metabolites. In contrast, metatranscriptomics analysis was conducted on the subset of INOC samples. Microbial DNA and RNA were extracted from steak surface rinsates. The 16S rRNA gene sequencing was analyzed using QIIME2 and R with the vegan and adonis packages. The metatranscriptomics data were analyzed using Humann 2.0, with KEGG Orthology, and MaAsLin3.0 package in R. All other parameters were analyzed in a mixed factorial model, using analysis of variance through the lme4 and emmeans packages in R, with carcass as a random variable. Results are presented as estimated marginal means, and α was set at 0.05.
Results: There was a treatment-by-day interaction (P < 0.05) for L*, a*, and b* values; lean color scores; and percentage surface discoloration. The L* values (lightness) were similar (P 3 0.05) between treatments until day 5, after which INOC had lower L* values compared with DCON. The a* (redness) and b* (yellowness) values of the treatments were similar (P 3 0.05) from days 0 to 4 but were lower (P < 0.05) in INOC compared with DCON on days 5 to 7. From days 5 to 7, panelists scored INOC LL steaks as darker red and more discolored (P < 0.05) compared with DCON steaks. There was a treatment-by-day interaction (P < 0.05) for microbial populations of all count types evaluated, with INOC having greater population levels throughout the display period. There was a display day effect (P < 0.05) for TBARS and pH, with both values increasing over the display period for both treatments. The metabolomic analysis indicated that there were 10 metabolites that had treatment-by-day interactions (P < 0.05). Among these, 5 were associated with carbohydrate metabolism, and 2 were associated with amino acid metabolism. Furthermore, the nitrogenous compounds hypoxanthine, xanthine, and urea increased (P < 0.05) from days 4 to 6 more rapidly in the INOC samples. Results from 16S rRNA gene sequencing of INOC samples indicated that α diversity decreased (P < 0.05) over the display period, as measured with Shannon’s, Simpson’s, and Inverse Simpson’s indices. Beta diversity, as evaluated with weighted UniFrac distances, was influenced (P < 0.05) by display day, with each of days 0, 1, 2, 3, and 4 having different (P < 0.05) β diversities. Conversely, display days 4 to 7 were similar (P 3 0.05) to each other but had less diversity compared with days 0 to 3. Results for metatranscriptomics showed there were 1073 metabolic pathways with significant changes (P < 0.05) from days 3 to 6. Analysis of the pathways revealed a general shift in microbial pathway abundance over days 3 to 6 with substantial changes to energy metabolism pathways. In general, days 3 and 4 had a greater prevalence (P < 0.05) of carbohydrate metabolism-associated gene transcripts compared with days 5 and 6, which had a greater prevalence of amino acid–associated metabolism pathways detected. Furthermore, there was an increase in prevalence (P < 0.05) of lipid biosynthesis protein pathways from day 3 to 6.
Conclusion: Results from this study provide further evidence that bacterial growth during retail display can influence fresh beef discoloration. However, changes in oxidation or pH were not substantial enough to cause faster surface discoloration in the inoculated steaks. These results also indicate that the changes in the microbial metabolism from primarily carbohydrate utilization to amino acid utilization coincide with changes in the color stability of aerobically packaged beef LL steaks, suggesting that microbial metabolic functional changes are contributing to beef discoloration. Further research is needed to investigate the specific changes, especially concerning metabolites, to better elucidate the microbial function in discoloration in aerobically packaged fresh beef LL steaks.
Funding Source: Research coordinated by the National Cattlemen’s Beef Association, a contractor to the Beef Checkoff.
Keywords: beef color, shelf life, microbiome, metabolomics.
120 Effects of Dietary Citrate Supplementation on Muscle Metabolites of Rattus sp. Males for Potential Use as Livestock Models
MacKenzie G. Chapman*, Stephen B. Smith, Spencer B. Tindel, Jeffrey W. Savell, and Kerri B. Gehring, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77840, USA *mackenzie.chapman@tamu.edu
Introduction/Objectives: Citrate is an essential substrate for mitochondrial function, glycolysis, and fatty acid synthesis, acting as a main regulator of these processes. During the conversion of muscle to meat, glycolytic substrates undergo several reactions. Meat quality is largely dependent on these postmortem reactions, affecting rate of postmortem pH decline and ultimate pH. The enzyme 6-phosphofructokinase of glycolysis is inhibited by adenosine triphosphate, especially in the presence of citrate, which directs glucose-6-phosphate to glycogen production and depresses glycolysis. Supplementing exogenous citrate could have an impact on cellular citrate concentrations, indicating whether citrate supplementation could promote various cellular pathways of importance to meat quality. The objectives of this study were to determine whether dietary citrate supplementation (1) has an impact on cellular glycolytic metabolites in rat liver, M. soleus, M. gastrocnemius, and longissimus dorsi and 2) impacts adipose tissue accumulation and body weight.
Materials and Methods: This experiment was performed under Texas A&M University Animal Use Protocol number 2024-0056 for the ethical treatment of rats. Genetically similar Rattus sp. males (n = 24) were divided into 3 treatment groups (n = 8 rats/group): (1) CONTROL (sugar water), (2) LOW (1.5% citrate in water), and (3) HIGH (3% citrate in water). To prepare the water solutions, respective amounts of citric acid (LOW: 0.015 g/mL; HIGH: 0.03 g/mL) were added and stirred, and pH was adjusted to 7.35 to 7.40. Additionally, all water solutions contained 17% sugar (340 g per 2000 mL) to entice consumption. Each group underwent treatment for a 2-wk period, and body weight was measured daily. After 2 wk, rats were anesthetized with sodium pentobarbital (60 mg/kg) and exsanguinated using the guillotine method. Immediately following exsanguination, the epidydimal fat pad, liver, M. soleus, M. gastrocnemius, and longissimus dorsi were dissected and immersed in liquid nitrogen. Samples were transported to the Texas A&M Meat Science Laboratory and stored in −80°C freezer until subsequent analyses of tissue metabolites and weight measurements. Frozen tissue samples were weighed, dissolved in 5 mL of 50% perchloric acid, neutralized with 200 μL of potassium bicarbonate, and then centrifuged at 1500 rpm for 30 min. The supernatant fraction of each sample was transferred into centrifuge tubes for subsequent metabolite analysis. Lactate and citrate levels were analyzed with a Beckman DU-7400 spectrophotometer (Palo Alto, CA) set at 339 nm, following a modified version of Bergmeyer (1974). Data were analyzed with JMP Pro (v. 16.0.0; SAS Institute, Cary, NC). The Fit Model Standard Least Squares function was used for analysis of variance comparisons, and mean comparisons were conducted using Tukey’s test at an α of P < 0.05.
Results: With the epidydimal fat pad weight, there was a treatment effect (P < 0.0001), wherein the HIGH group had the lowest fat pad weight (20.5 ± 4.3 g), and the LOW and CONTROL groups did not differ (P = 0.64) (Table 1). For final weight, there was a treatment effect (P < 0.0001). The CONTROL and LOW groups did not differ at the final weight post–2-wk treatment period (P = 0.52); however, the HIGH group had the lowest final weight (Table 1). For lactate, there were treatment (P = 0.0007) and muscle (P = 0.0002) effects. For treatment, the HIGH group had the highest levels of muscle lactate, and the CONTROL and LOW groups did not differ (Table 1). For tissue type, the M. soleus had the highest (P < 0.05) level of muscle lactate level (0.46 ± 0.04 micromole/g), whereas the liver, M. gastrocnemius, and longissimus dorsi did not differ in lactate concentration (P > 0.05). For citrate level, there was a treatment effect (P = 0.024). The HIGH group had the highest level of citrate in tissues, whereas the CONTROL and LOW groups did not differ in citrate concentration (Table 1).
Conclusion: Results from this study show that citrate supplementation in the drinking water of Rattus sp. males over a 2-wk trial period had a significant effect on muscle concentrations of lactate and citrate. These preliminary findings indicate that citrate supplementation in live animal models may present an avenue to alter postmortem meat quality traits, as cellular metabolites that fuel metabolic pathways for oxygen consumption and mitochondrial function in postmortem muscle. Citrate supplementation may offer a way to impact postmortem pH decline, which could impact meat quality traits, such as color stability and protein functionality. Further research is needed to determine the effects of dietary citrate supplementation on postmortem pH and muscle color.
Effects of dietary citrate inclusion on evaluated traits
| Trait | n2 | Treatment | P-value | |||||
|---|---|---|---|---|---|---|---|---|
| CONTROL | LOW GROUP | HIGH GROUP | ||||||
| Final Body Weight, g | 24 | 323.25a | ±9.11 | 309.00a | ±9.11 | 219.63b | ±9.11 | <0.0001 |
| Fat Pad Weight, g | 24 | 51.69a | ±4.27 | 46.24a | ±4.27 | 20.54b | ±4.27 | <0.0001 |
| Citrate Concentration, μmoles/g1 | 95 | 0.072b | ±0.054 | 0.104ab | ±0.055 | 0.272a | ±0.054 | 0.0239 |
| Lactate Concentration, μmoles/g1 | 95 | 0.255b | ±0.036 | 0.253b | ±0.037 | 0.429a | ±0.036 | 0.0007 |
Least-squares means in the same row without common superscript letters differ (P < .05).
Metabolite concentration is recorded as micromole of metabolite per gram of tissue samples.
Body weight and epididymal fat pad weight was recorded as 1 per animal (n = 24). Metabolites were measured as tissues extracted (4 tissues) multiplied by the number of animals (n = 24). One sample was lost in transit resulting in 1 less value.
Funding Source: This study was funded, in part, by Texas A&M AgriLife Research.
Keywords: citrate, pH, glycolysis, meat quality, postmortem.
Meat and Poultry Quality and Composition - Measurement and Prediction
121 Harvest Co-Product Yields of Purebred Angus Compared With Angus × Holstein Crossbred Steers
Thomas C. Petit*, Trent E. Schwartz, Loni W. Lucherk, and Ty E. Lawrence, West Texas A&M University, Canyon, TX 79016, USA *tpetit@wtamu.edu
Introduction/Objectives: Purebred dairy cattle are typically discounted when marketed to beef processors, due to unfavorable carcass muscling attributes, ergonomic carcass length complications, and marketing limitations. Dairy-crossbred cattle allow producers to add value to the dairy industry by providing a product that reduces discounts and improves marketability. Angus and Angus × Holstein cattle differ in genetic composition, thus potentially impacting the yield outcomes of co-products at harvest. Our objective was to quantify absolute weight and percentage yield similarities and differences for harvest co-products between purebred black Angus (A) and Angus × Holstein (AH) steers.
Materials and Methods: Cattle (N = 40), consisting of A steers (N = 20) and AH steers (N = 20) originating from 4 different feedlots, were harvested on 4 different days at the West Texas A&M University Caviness Meat Science & Innovation Center. All cattle were immobilized via captive bolt stunner and were weighed before and after exsanguination. Hides were removed from carcasses with the aid of pneumatic dehiders. The gastrointestinal tract and internal organs were removed from the carcass; the 4-compartment stomach and small and large intestines were separated, washed clean, and weighed. Omental and mesenteric fat was removed from the gastrointestinal tract and weighed. Absolute weights of all harvest co-products removed from the carcass throughout the harvest process were recorded. Hot carcass weights were observed and recorded to calculate the dressing percentage of each animal. Empty body weight (EBW) was calculated by adding all carcass and noncarcass components minus fill. Yield of each co-product was also calculated as a percentage of empty body weight. Data were analyzed via mixed models using a completely randomized design with an α level set to 0.05; breed type was the main effect, and feedyard was the random effect.
Results: Stun weight of AH steers was 9.9% heavier than A steers (P < 0.01; 720.47 kg vs. 655.81 kg) at harvest. Fill of AH cattle was 22% greater (P < 0.01; AH = 43.73 kg, A = 35.79 kg) than A steers; removal of fill yielded 9.1% heavier EBW for AH steers (P < 0.01; 676.84 kg vs. 620.12 kg) compared with A steers. Additionally, AH steers had 7.7% heavier hot carcass weights (P < 0.01; 465.58 kg vs. 432.11 kg) but lower dressed yields (P < 0.01; 64.57% vs. 65.83%) than A steers. No difference (P ≥ 0.31) between cattle types was observed for metacarpals, oxlips, or hide as a percentage of EBW. No difference (P ≥ 0.11) was observed between cattle types for initial head weight, oxlips, head without tongue, sternomandibluaris, cheek meat, untrimmed tongue, larynx, hyoid bone, tonsils, weasand, tongue root, salivary glands and associated fat, head meat, trimmed head, brain, or pituitary gland when expressed as a percentage of EBW. No difference (P ≥ 0.13) between cattle types was detected for tendons, oxtail, spinal cord, thymus, total blood, penis, fat trim, and muscle trim expressed as a percentage of EBW. No difference (P ≥ 0.24) existed for reticulum, omasum, abomasum, small intestine, large intestine, bung, bung trim, heart fat, pericardium, aorta, lungs, trachea, esophagus, liver with the gallbladder removed, pancreas, and bladder with contents when expressed as a percentage of EBW. Metatarsals (P < 0.01; 0.76% vs. 0.69%), kidney-pelvic-heart fat (P < 0.01; 2.62% vs. 2.17%), omental fat (P < 0.01; 3.72% vs. 3.23%), and mesenteric fat (P = 0.02; 3.04% vs 2.74%) represented a greater proportion of EBW for AH steers than A steers. Additionally, AH steers tended to have heavier kidneys (0.21%), heart (0.49%), and spleen (0.18%) than A steers (P ≤ 0.06; 0.19%, 0.46%, 0.16%) when expressed as percentage of EBW. Trimmed tongue (P = 0.05; 0.18% vs. 0.17%) and rumen (P = 0.04; 1.86% vs. 1.71%) of A steers represented a greater percentage of EBW than AH steers.
Conclusion: Because of the larger body weight of AH steers, most weights were heavier than those collected from A steers. Most harvest co-products were a similar percentage of EBW between cattle types. The few differences observed between AH and A steers were heavily influenced by increased proportion of bone, fat, and visceral organ composition of AH steers. However, A steers yielded higher dressed carcass percentages than AH steers.
Funding Source: Funding for this project was provided by the Iowa Beef Industry Council’s State Checkoff Program.
Keywords: bovine, breed, carcass, slaughter, weights.
122 Impact of in Utero Heat Stress on Meat Quality in Barrows From Heat-Tolerant and Heat-Sensitive Sows
Dylan Metzel1*, Jin-Kyu Seo1, Dong-Jin Shin1, Evie Sierra1, James Markworth1, Yuan H. Brad Kim1, Caitlyn Sullivan2, and Jay S. Johnson2, 1Purdue University, West Lafayette, IN 47907, USA, 2University of Missouri, Columbia, MO 65211, USA *dmetzel@purdue.edu
Introduction/Objectives: In utero heat stress (IUHS) is a growing concern in the swine industry, as high temperatures increase the risk of fetal heat stress exposure. Such conditions may lead to offspring with inferior meat quality attributes; however, research on these effects remains limited. The objective of this study was to determine the impact of IUHS on meat quality attributes in barrows derived from sows with different genetic heat tolerance (heat sensitive vs. heat tolerant), providing insights into meat quality variations associated with IUHS.
Materials and Methods: The pig treatment groups included a genomically heat-tolerant population exposed to in utero thermoneutral (IUTN) conditions (constant 17°C to 22°C chamber; TTN; n = 9), a genomically heat-tolerant population exposed to IUHS conditions (cyclic heat stress [HS] temperatures of 26°C at night to 32°C during the day applied to pregnant gilts; THS; n = 9), a genomically heat-sensitive population exposed to IUTN conditions (STN; n = 9), and a genomically heat-sensitive population exposed to IUHS conditions (SHS; n = 9). From day 60 of gestation to farrowing, all pigs were exposed to IUTN conditions, and from birth to 6 mo of age, all pigs were exposed to thermoneutral conditions and raised in group pens under normal commercial production conditions. At 6 mo of age, 36 barrows were slaughtered at the Purdue University Meat Laboratory. At 1-d postmortem, 9 pairs of 2 muscles, including the M. longissimus thoracis et lumborum (LL) and M. psoas major (PM), were obtained from carcasses from each group. Each muscle pair was vacuum packaged and randomly assigned to 1 of 2 aging times (1 and 10 d). Upon aging, chops were cut, overwrap packaged with polyvinyl chloride film, and displayed under light for 7 d. Water holding capacity (WHC) and Warner-Bratzler shear force (WBSF) were determined, along with muscle fiber type determination. All traits were analyzed using least-squares means in the PROC GLIMMIX procedure of SAS 9.4, with post hoc comparisons conducted using the Tukey-Kramer test (P < 0.05). In the statistical model, treatment, aging time, and their interaction were considered fixed effects, whereas each animal serves as a block and a random effect.
Results: Drip loss in the LL muscle was significantly higher in the IUHS groups (THS, 4.73%; SHS, 5.26%) than in the IUTN groups (TTN, 4.01%; STN, 4.03%) (P < 0.05). TTN had a significantly lower centrifugal loss than the other treatments in LL. No significant treatment effects on WHC were found in PM. The redness (CIE a*) and color intensity (chroma) in PM were lowest in SHS compared with other treatments (P < 0.05). During the 10-d display period, the CIE a* value was higher in TTN than SHS in both the LL (5.18 vs. 4.21) and PM (11.13 vs. 9.51) (P < 0.05). Similarly, the hue angle was lower in TTN than SHS in the LL (68.64 vs. 78.29) and PM (52.95 vs. 57.85), indicating better color stability in TTN (P < 0.05). At 2 d postmortem, TTN had lower WBSF than THS and SHS in LL (P < 0.05). WBSF in PM was not affected by treatments (P > 0.05). The LL of the IUHS group had a higher type IIX fiber ratio than that of the IUTN group (40.35% vs. 30.52%; P < 0.05).
Conclusion: These results suggest a muscle-specific response to IUHS in quality attributes of meat from barrows, with IUHS having more pronounced negative impacts on WHC, instrumental tenderness, and color stability of LL compared with PM. This may be partially attributed to the changes in muscle fiber type composition under IUHS. Heat stress sensitivity of the sows may exacerbate the negative impacts of IUHS on the offspring. Further research is warranted to investigate mitochondrial characteristics and changes in lipidomes and metabolomes of muscles affected by IUHS.
Funding Source: US Department of Agriculture (USDA)–Agriculture and Food Research Initiative (AFRI) National Institute of Food and Agriculture (NIFA) (2023) Grant and Brain Pool Korea.
Keywords: in utero heat stress; different breeding; muscle fiber type.
Meat and Poultry Quality
123 Efficacy of Natural and Synthetic Antioxidants on Color and Shelf Life of Ground Beef Patties in Retail Display
Vallie Yancey1, Ashlyn Davis1, Cameron Catrett2, Peyton Arnold2, Ashley Pitti2, Paul Dahunsi2, Janeal Yancey3*, Edward Yancey II4, and Derico Setyabrata2, 1Huntsville High School FFA, Huntsville, AR 72740, USA, 2Department of Animal Science, University of Arkansas, Fayetteville, AR 72701, USA, 3Department of Animal Science, University of Arkansas System Division of Agriculture, Fayetteville, AR 72701, USA, 4Tyson Foods, Springdale, AR 72762, USA *jws09@uark.edu
Introduction/Objectives: Ground beef is a very versatile and dynamic product, but it comes with shelf-life and discoloration challenges. Processors are trying to alleviate these issues by using both natural and synthetic antioxidants to improve shelf life in the retail case. With consumer concerns about the use of synthetic ingredients in food, it is pertinent to find natural alternatives to synthetic antioxidants. The objective of this study was to understand the efficacy of synthetic and natural antioxidants on ground beef shelf-life attributes.
Materials and Methods: Previously frozen ground beef (80% lean) was obtained from commercial processing plants, equally allocated into 3 batches, and assigned to 1 of 3 treatments, including untreated control (CON), 0.25% rosemary extract (RSM), or 0.02% butylated hydroxide (BHA). Ground beef was mixed in a table-top mixer for 1.5 min, formed into 125-g patties, and packed on foam trays with polyvinyl chloride overwrap and an absorbent pad. Packages were placed in simulated retail display under continuous LED lighting in an open-front multideck display case for 5 d. Objective color (L*, a*, b*, hue angle, and chroma) was measured on 2 patties every 24 h throughout display using a MiniScan EZ spectrophotometer. On display days 1 and 5, patties were removed from display, analyzed for microbial enumeration, vacuum packaged, and frozen until 2-thiobarbituric acid reactive substances (TBARS) analysis. The study was a randomized complete block design with a split-plot arrangement. Batch served as the block, treatment as the split-plot, and display day as the sub-plot. Color data were analyzed as repeated measures while microbial enumeration and TBARS data were analyzed with a 3 × 2 factorial arrangement. Data were fit using a mixed model and analyzed using the lme4 and emmeans package in RStudio with the fixed effects of treatment, display day, and their interaction.
Results: Ground beef color quality decreased as expected throughout display, with patties becoming less red, with decreased chroma values and greater hue angles (P < 0.05). Patties treated with BHA were redder (a*) and yellower (b*) and had a greater color saturation (chroma) and decreased hue angle than CON patties (P < 0.05). RSM patties did not differ from CON patties for each objective color measurement (P > 0.05). There was a treatment × day interaction for oxidation (P = 0.01), wherein both BHA and RSM patties had decreased TBARS values on day 5 compared with CON patties (P < 0.01); however, all CON, RSM, and BHA day-1 TBARS values did not differ (P > 0.71). There was no treatment × day interaction nor treatment main effect for aerobic plate counts (P > 0.67); however, there was a day main effect in which day 5 samples had elevated pates counts compared with day 1.
Conclusion: Ground beef patties treated with BHA had increased color stability during 5 d of display compared with CON patties, whereas RSM patties were intermediate. Both RSM and BHA were equally effective in reducing oxidation compared with CON patties. Neither antioxidant treatment was effective at inhibiting aerobic bacterial growth in ground beef patties during display.
Keywords: antioxidant, BHA, beef, color, rosemary.
124 Influence of Maternal Genetic Line on Finishing Pig Carcass and Pork Quality Characteristics
Matt Schulte1*, Caroline Mitchell1, and Eli Gjerlaug Enger2, 1Topigs Norsvin, Meerendonkweg 25, 5216 TZ Den Bosch, The Netherlands, 2Norsvin, Storhamargata 44, 2317 Hamar, Norway *matt.schulte@topigsnorsvin.com
Introduction/Objectives: Carcass and meat quality characteristics are influenced by genetic selection criteria. Many studies have assessed the impact of the sire line on carcass and meat quality characteristics. However, limited studies have assessed the impact of the maternal contribution to these traits. It was hypothesized that maternal genetic lines impact finishing pig carcass characteristics and pork quality traits differently. Therefore, the objective of this study was to evaluate the influence of modern maternal genetic lines on finishing pig carcass and meat quality characteristics.
Materials and Methods: Weaned pigs originating from the same farrowing barn were tracked throughout finishing to assess carcass and meat quality characteristics. Maternal genetic lines included genetic line 1 (commercial hybrid sow line of Topigs Norsvin: TN70 [Landrace × Large White]) and another commercially relevant maternal line (genetic line 2; Landrace × Large White) bred to a Duroc sire line. Finishing pigs (n = 800 per genetic line) were tracked through a commercial plant in the Midwestern United States at the time of harvest. Hot carcass weights (HCW) were collected during 3 marketing events, and dressing percentages were calculated. Primal weights (bone-in ham, belly, bone-in and boneless loin) were collected from a subset of finishing pigs (n = 240 per genetic line). A subset of boneless loins (n = 120 per genetic line) was collected and transported to the University of Illinois meat lab (Champaign, IL) and aged for 14 d prior to measuring the following loin chop quality characteristics: National Pork Producers Council (NPPC) color, marbling, and firmness scores; ultimate pH, L*, a*, and b*; percentage cook loss; and Warner-Bratzler shear force. Sensory characteristics (tenderness, juiciness, and flavor) were evaluated on loin chops (n = 40 per genetic line) from 1 marketing date. Carcass data were analyzed using PROC MIXED of SAS 9.4 (SAS Institute Inc., Cary, NC) with fixed effects of genetic line and gender. For primal weight analysis, HCW was used as a covariate. Loin chop data analysis included fixed effects of genetic line, gender, and marketing date. Significance was denoted with a P value less than or equal to 0.05.
Results: Market pigs from genetic line 1 had greater hot carcass weights and yields. No significant differences in primal weight were found. Loin chop analysis identified that genetic line 1 had a greater NPPC marbling score and sensory juiciness. Genetic line 2 had a lesser b* value. No other loin chop quality characteristics differed between maternal genetic lines.
Conclusion: The results of this study demonstrate the influence maternal genetic lines can have on finishing pig carcass and loin quality characteristics. The use of precise phenotyping methods, such as computed tomography scanning and near-infrared spectroscopy, can help to further enhance selection efficiency in paternal and maternal lines for carcass and meat quality characteristics. Further investigation into the contribution of the maternal genetic line to other carcass and meat quality characteristics is warranted to continue identifying how modern maternal genetics may influence market pig carcass and meat quality traits.
Effect of maternal line on carcass characteristics.
| Trait | Genetic line 1 | Genetic line 2 | Genetic line | Gender | HCW |
|---|---|---|---|---|---|
| Hot Carcass Weight (HCW), kg* | 103.60 | 101.87 | <0.01 | 0.11 | - |
| Dressing Percent, %* | 73.70 | 72.75 | <0.01 | 0.03 | - |
| Bone-in ham weights, kg+ | 12.22 | 12.14 | 0.14 | 0.01 | <0.01 |
| Belly weights, kg+ | 9.40 | 9.37 | 0.55 | 0.20 | <0.01 |
| Bone-in loin weights, kg+ | 12.13 | 12.25 | 0.12 | 0.72 | <0.01 |
| Boneless loin weights, kg+ | 3.32 | 3.35 | 0.21 | <0.01 | <0.01 |
Least-squares means are presented.
*n = 800 per genetic line.
+n = 240 per genetic line.
Effect of maternal line on loin chop quality characteristics.
| Trait | Genetic line 1 | Genetic line 2 | Genetic line | Market Date | Gender |
|---|---|---|---|---|---|
| NPPC Color Score* | 3.38 | 3.42 | 0.63 | 0.10 | 0.26 |
| NPPC Marbling Score+ | 3.33 | 3.04 | <0.01 | <0.01 | <0.01 |
| NPPC Firmness Score+ | 3.27 | 3.26 | 0.94 | 0.80 | 0.22 |
| L** | 51.33 | 50.91 | 0.21 | 0.17 | 0.55 |
| a** | 6.68 | 6.59 | 0.56 | 0.02 | 0.07 |
| b** | 4.82 | 4.57 | 0.05 | 0.04 | 0.01 |
| Ultimate pH* | 5.60 | 5.60 | 0.56 | <0.01 | 0.76 |
| Cook Loss, %* | 17.72 | 17.99 | 0.50 | <0.01 | 0.26 |
| Warner-Bratzler shear force, kgf* | 2.95 | 2.96 | 0.96 | <0.01 | 0.33 |
| Sensory Tenderness* | 8.91 | 8.97 | 0.77 | - | 0.67 |
| Sensory Juiciness* | 8.66 | 8.29 | 0.02 | - | 0.09 |
| Sensory Flavour* | 1.41 | 1.43 | 0.77 | - | 0.95 |
Least-squares means are presented.
*n = 800 per genetic line.
+n = 240 per genetic line.
Funding Source: None.
Keywords: pork quality, genetics, carcass quality.
125 The Effect of Blue Light on Beef Quality
Amelia M. Miller*, Spencer B. Tindel, Jeffrey W. Savell, and Kerri B. Gehring, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77840, USA *amelia.miller@tamu.edu
Introduction/Objectives: As technology advances, it is of interest to explore new methods of preserving beef quality and reducing food waste. An emerging technology used in the medical and food industries are light-emitting diodes (LED) within the blue light spectrum, which ranges from 400 to 480 nm. Blue-light LEDs are a low-cost, low-energy, environmentally safe technology that could provide benefits to the meat industry. Previous studies have explored the use of this technology on dairy, produce, and food contact surfaces; however, limited research exists on fresh beef. The objective of this study was to evaluate the effect of blue-light application on fresh beef quality.
Materials and Methods: Beef striploins (M. longissimus lumborum; n = 8) were sourced, aged for 21 d, faced, and cut into approximate 2.54-cm steaks until 80 steaks were achieved. Steaks were assigned to 1 of 5 experimental groups (0, 1, 3, 5, or 7 d) for a 7-d trial period, with each group consisting of 16 steaks (n = 80; 5 groups × 16 steaks per group). Day 0 steaks were evaluated for baseline data on objective and subjective color, pH, aerobic plate counts (APC) and thiobarbituric acid reactive substances assay (TBARS). The remaining steaks (n = 64) were assigned to LIGHT or NOLIGHT groups and stored under approximate 2°C refrigeration for their respective number of days. Steaks assigned to LIGHT (n = 32) were placed approximately 15.24 cm under 405 nm LED bulbs, whereas steaks assigned to the NOLIGHT group were placed under blackout curtains and served as the control. On their assigned experimental day, steaks (n = 16; 8 LIGHT + 8 NOLIGHT) were removed from the cooler and analyzed for the same attributes as day-0 steaks. Objective color was measured in triplicate using a calibrated colorimeter, and L*, a*, and b* values were recorded. Subjective color evaluation of lean color (1–8 scale), amount of lean discoloration (1–5 scale), and amount of browning (1–6 scale) was performed by a group of 8 trained panelists in accordance with American Meat Science Association guidelines. Color measurements were taken before and after 30-min bloom. Measurements of pH were taken using a calibrated handheld pH meter. For APC sampling, steak surfaces were swabbed using 3M sterile dry-sponges moistened with Butterfield’s Buffer and plated onto Petrifilm aerobic count plates using a 9-dilution method. APC plate films were incubated for 48 h prior to counting and conversion to logarithms. TBARS was used to measure lipid oxidation by evaluating ppm of malonaldehyde per kilogram. Data were analyzed using JMP Pro (v.16.0.0; SAS Institute, Cary, NC). The Fit Model Standard Least Squares function was used for analysis of variance, and mean comparisons were conducted using Tukey’s honestly significant difference when appropriate at an α of P value less than 0.05.
Results: LIGHT steaks remained under blue light for 1, 3, 5, or 7 d receiving 535.68 J/cm2, 1,607.04 J/cm2, 2,678.40 J/cm2, or 3,749.76 J/cm2 of energy dosages, respectively. For subjective color evaluations (Table 1), there was a significant (P < 0.05) interaction between treatment and day for all subjective color variables in both packaged and unpackaged steaks. For packaged steaks, lean color values were higher (P < 0.0001) for LIGHT day-7 steaks compared with all others across treatment and time. For lean color, LIGHT packaged steaks from days 0 and 1 did not differ (P > 0.05) from NOLIGHT packaged steaks on days 0, 1, 3, and 5. For browning, LIGHT packaged day 5 and day 7 steaks had higher (P < 0.0001) values when compared with all other groups, whereas LIGHT AND NOLIGHT steaks did not differ (P > 0.05) in browning values until day 3. Discoloration values of packaged steaks showed a similar trend, wherein steaks subjected to LIGHT on day 0 and day 1 did not differ (P > 0.05) from NOLIGHT steaks from days 0, 1, and 3. Furthermore, discoloration values for LIGHT steaks from days 5 and 7 were higher (P < 0.0001) than all other days for both LIGHT and NOLIGHT groups. These results indicate an effect from blue light occurring around day 3. There were no light treatment main effects on any CIE values measured in packaged or unpackaged steaks (P > 0.05). Furthermore, there were no light treatment effects (P > 0.05) on pH, APC, or TBARS analyses.
Conclusion: The results of this study showed that 405-nm blue LEDs had negative effects on the color of beef beginning around day 3 of the trial period. Although there were no light treatment effects on pH, APC, or TBARS values, subjective color changes due to light were shown. At this point in the study, steaks had received an approximate energy dose of 1,607.04 J/cm2 of blue-light energy. High amounts of light energy were likely the cause of these negative color changes in steaks. Discoloration is undesirable to consumers and decreases a consumer’s willingness to purchase, leading to economic loss for the meat industry. Further research is needed to determine optimal wavelengths and treatment times on use of blue-light LEDs as a preservative for fresh beef.
Least-squares means for subjective color evaluations of package1 and unpackaged2 beef steaks stratified by treatment × day
| Treatment | n3 | Day | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | SEM4 | 1 | SEM4 | 3 | SEM4 | 5 | SEM4 | 7 | SEM4 | ||
| Packaged | |||||||||||
| Lean Color5 | |||||||||||
| LIGHT | 40 | 3.25d | 0.13 | 3.56cd | 0.16 | 5.03b | 0.16 | 5.41b | 0.14 | 6.10a | 0.15 |
| NOLIGHT | 40 | 3.55cd | 0.13 | 3.25d | 0.16 | 3.38cd | 0.16 | 3.81cd | 0.14 | 4.00c | 0.14 |
| P-value | <0.0001 | ||||||||||
| Browning6 | |||||||||||
| LIGHT | 40 | 1.00e | 0.10 | 1.10de | 0.13 | 3.17c | 0.13 | 4.79a | 0.11 | 4.78a | 0.12 |
| NOLIGHT | 40 | 1.00e | 0.10 | 1.00de | 0.13 | 1.55d | 0.13 | 2.84c | 0.11 | 4.16b | 0.12 |
| P-value | <0.0001 | ||||||||||
| Discoloration7 | |||||||||||
| LIGHT | 40 | 1.00e | 0.08 | 1.10e | 0.10 | 3.43c | 0.10 | 4.92a | 0.09 | 4.86a | 0.09 |
| NOLIGHT | 40 | 1.00e | 0.08 | 1.00e | 0.10 | 1.27e | 0.10 | 2.48d | 0.09 | 3.89b | 0.09 |
| P-value | <0.0001 | ||||||||||
| Unpackaged | |||||||||||
| Lean Color5 | |||||||||||
| LIGHT | 40 | 3.29c | 0.13 | 3.89c | 0.16 | 4.98b | 0.16 | 5.41ab | 0.14 | 5.94a | 0.15 |
| NOLIGHT | 40 | 3.49c | 0.13 | 3.37c | 0.16 | 3.41c | 0.16 | 3.53c | 0.14 | 3.78c | 0.15 |
| P-value | <0.0001 | ||||||||||
| Browning6 | |||||||||||
| LIGHT | 40 | 1.00e | 0.101 | 1.45e | 0.12 | 3.25c | 0.12 | 4.84a | 0.11 | 4.58ab | 0.12 |
| NOLIGHT | 40 | 1.00e | 0.103 | 1.02e | 0.12 | 1.49e | 0.12 | 2.68d | 0.11 | 4.21b | 0.12 |
| P-value | <0.0001 | ||||||||||
| Discoloration7 | |||||||||||
| LIGHT | 40 | 1.00d | 0.09 | 1.39d | 0.10 | 3.46b | 0.11 | 4.89a | 0.09 | 4.80a | 0.10 |
| NOLIGHT | 40 | 1.00d | 0.09 | 1.02d | 0.10 | 1.31d | 0.10 | 2.34c | 0.09 | 3.73b | 0.10 |
| P-value | <0.0001 | ||||||||||
Means within a color evaluation (lean color, browning, or discoloration) lacking a common letter differ (P < 0.05).
Packaged denotes beef steaks that were analyzed while packaged in polyvinyl chloride overwrap film.
Unpackaged denotes beef steaks that were analyzed after removal from packaging film and allowed to bloom for 30 minutes.
Number of beef steaks.
Standard Error of the Mean.
Lean color rated on a scale from 1–8 (1 = extremely bright cherry-red or bright brick-red, 8 = extremely dark red).
Browning rated on a scale from 1–6 (1 = no evidence of browning, 6 = dark brown).
Discoloration rated on a scale from 1–5 (1 = none, 5 = extreme).
Funding Source: Research was supported, in part, by Texas A&M AgriLife Research.
Keywords: quality, blue light, color, beef, steaks.
126 Effect Peracetic Acid Dips Post-Debone on Broiler Tenderloin Meat Quality When Marinated After 2 Days of Storage
Sarah E. Johnson1*, Joaquin J. Esquivel1, Adalyn M. Hanning2, Tomi Obe1, and C. M. Owens1, 1University of Arkansas, Fayetteville, AR 72701, USA, 2Har-Ber High School, Springdale, AR 72762, USA *sey003@uark.edu
Introduction/Objectives: Peracetic acid (PAA) is a common antimicrobial used in the poultry industry. For food safety purposes, poultry meat may be subjected to PAA at various times throughout processing, including after deboning using direct contact dips. This research aimed to evaluate the impact of varying dip frequency of PAA on broiler tenderloin quality when followed by storage and marination 2 d postdip.
Materials and Methods: Tenderloins were randomly separated into 5 treatments: negative control (no dipping [NC]), 1 water dip control (WC), 1 dip in PAA (PAA1), 3 dips in PAA (PAA3), and 5 dips in PAA (PAA5), using n = 45 per treatment over 3 replications. Each group was dipped for 15 s in 750 ppm PAA or water, and a 90s wait period was used between multiple dips. Samples were stored for 48 h. After the 48-h storage, the tenderloins were subjected to tumbling marination with a vacuum of 21 mm Hg for 5 min and storage for 24 h. pH; color L*, a*, and b*; percentage pickup (postdip); percentage drip loss (after storage); percentage marination pickup; purge percentage cook loss; and percentage cook yield were assessed. Data were subjected to 1-way analysis of variance (P < 0.05). Means were separated using Tukey’s honestly significant difference using P value less than 0.05 for significance.
Results: No difference (P > 0.05) was found among treatments in initial pH, L*, a*, or b*. However, dipping tenderloins in PAA resulted in lower (P < 0.05) pH after premarination storage compared with water, or the NC, and, in addition, PAA5 still resulted in lower pH postmarination storage (P < 0.05) compared with the NC. Dipping treatments and water dipping showed no difference in pH after marination storage. Tenderloins subjected to PAA resulted in higher (P < 0.05) L* after premarination storage compared with the NC. However, PAA1 showed no significant difference (P > 0.05) compared with the water dipping treatment. PAA5 resulted in higher (P < 0.05) values of L*, and PAA3 showed significant differences (P < 0.05) compared with PAA5, PAA1, and the NC, whereas PAA1 showed no significant differences (P > 0.05) compared with water dipping and the NC. The a* values decreased in PAA3 and PAA5 (P < 0.05) after premarination storage. However, PAA5 had the lowest a* value (P < 0.05) after postmarination storage. PAA5 had a higher (P < 0.05) pickup and drip loss after dipping compared with all other treatments. No significant difference (P > 0.05) was found for marination pickup among the treatments. PAA5 had the highest cook loss and the lowest cook yield among the treatments (P < 0.05).
Conclusion: Results indicated that storage time and marination combined with varying PAA dip frequency can decrease the pH, a*, pickup, drip loss, and cook yields. Storage time and marination can increase cook loss and L* on tenderloins dipped in peracetic acid. Storage time and different quantities of peracetic acid dips can impact color and water holding capacity before and after marination, resulting in a direct impact on meat quality.
Funding Source: Novus International Professor.
Keywords: tenderloins, meat quality, storage, water holding, marination.
127 Investigating the Role of Mitochondria in Postmortem Metabolism and pH Decline in Pork
Fatema R. Mishu*, Mohammed A. Alruzzi, Chandler D. Stafford, Madeleine R. Monsivais, Lamis A. Ali, Melinda E. S. Rocha, and Sulaiman K. Matarneh, Department of Nutrition, Dietetics, and Food Sciences, Utah State University, Logan, UT 84322, USA *fatema.mishu@usu.edu
Introduction/Objectives: Mitochondria play a key role in postmortem muscle metabolism, primarily by sequestering calcium in an attempt to maintain cellular calcium homeostasis. Calcium influx into mitochondria is mediated by the mitochondrial calcium uniporter (MCU), a highly selective calcium channel localized to the inner mitochondrial membrane. This process directly influences muscle contraction and adenosine triphosphate consumption, both of which are closely linked to the rate of postmortem metabolism and pH decline. However, the extent to which mitochondrial-mediated regulation of cytosolic calcium affects the rate of postmortem muscle metabolism remains unclear. Therefore, this study aimed to explore how mitochondrial calcium uptake influences postmortem muscle metabolism, particularly examining its impact on the rate of pH decline and key glycolytic metabolite levels in porcine longissimus muscle. We hypothesized that inhibiting mitochondrial calcium uptake with DS16570511, a specific inhibitor of MCU, would elevate cytosolic calcium concentration, thereby accelerating postmortem metabolism and pH decline.
Materials and Methods: Eight market-weight pigs of similar genetic backgrounds were harvested at the Utah State University Animal Harvest Facility. Within 5 min postmortem, the longissimus muscle was excised from one side of each carcass and fabricated into ten 2.5-cm-thick steaks. Steaks were weighed and randomly injected with 1 of 2 treatments: DS16570511 dissolved in saline solution (final concentration, 100 μmol/g of muscle) or saline only (control). One steak from each treatment was cut and snap-frozen immediately (0 min), whereas the remaining steaks were packaged and stored at 4°C for 60, 120, 240, or 1,440 min. At the end of each storage period, steaks were removed from their packages and subsequently processed and stored in the same manner as the 0-min samples. Muscle pH and glycolytic metabolite concentrations were evaluated at all time points, whereas pork color was only evaluated on the 1,440-min samples. Data were analyzed using a mixed model of JMP (SAS Institute Inc., Cary, NC). The statistical model included the main effects of treatment, time, and their interactions and the random effect of the steak. The least-squares means were evaluated using a Student’s t-test and considered significant at P value less than or equal to 0.05.
Results: Steaks injected with DS1657051 had lower pH values at 60, 120, and 240 min than their control counterparts (P ≤ 0.03), whereas no differences were observed at 0 and 1,440 min. As expected, lactate levels increased over time in both groups (P < 0.0001), with the treatment group showing greater values at 120 and 1,440 min (P ≤ 0.05). No differences in glucose-6-phosphate (G6P) were observed between the 2 treatments at 0, 60, 120, and 240 min. However, a significant difference in G6P was observed at 1,440 min, with control steaks exhibiting greater G6P concentration than the treated steaks (P = 0.002). Glucose levels differed between treatments only at 120 min (P = 0.03), when DS1657051-treated steaks possessed more glucose. Analysis of pork color, performed on the 1,440-min samples, showed a lower a* (redness) value in the treated group compared with the control group (P = 0.01), whereas L* (lightness) and b* (yellowness) were not affected.
Conclusion: Inhibiting mitochondrial calcium uptake significantly influenced postmortem muscle metabolism by accelerating pH decline, increasing lactate accumulation, and altering G6P and glucose levels. Additionally, the treatment reduced pork redness, resembling the discoloration characteristic of pale, soft, and exudative pork. These findings highlight the significant role of mitochondria in postmortem metabolism and their impact on pork quality, providing a foundation for developing metabolic interventions to optimize pork quality.
Funding Source: US Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA).
Keywords: mitochondrial calcium uniporter, postmortem metabolism, pH decline, lactate, pork quality.
128 Effect of Stunning Methods and Deboning Time on Broiler Breast Quality During a 7-Day Retail Display
Zahidul Hasan Tushar*, Rishav Kumar, Matthew Hughes, Matthew Bailey, Shijinaraj Manjankattil, and Dianna Bourassa, Auburn University, Auburn, AL 36849, USA *zzt0028@auburn.edu
Introduction/Objectives: Controlled atmosphere stunning (CAS) of broiler chickens is becoming more popular, but electrical stunning (ES) is still the most common way that commercial poultry facilities process birds. The quality of broiler breast meat is influenced by stunning and deboning time, whereas the joint effect of CAS and deboning time during retail display remains unclear. Consumer appeal while buying meat is influenced by retail displays and lighting within cases, but during retail storage, these lights also intensify light-induced oxidation. The objective of this study was to assess the interaction between the stunning method and deboning time on shelf-life metrics (color stability, lipid oxidation, microbiological growth) and meat quality during a 7-d retail display period.
Materials and Methods: A 2 × 3 factorial design was used, considering 2 different stunning methods (CAS and ES) and 3 deboning times (1 h, 2 h, 4 h) with 60 broilers (42 d of age) allocated, 30 for each stunning method and 10 per deboning time subgroup. The experiment was conducted at the Charles C. Miller Jr. Poultry Research and Education Center at Auburn University. CAS and ES were performed according to established industry standards. For ES, birds were shackled and stunned at 20 mA/bird for 12 s, neck cut, bled, hard scalded, and defeathered. For CAS, birds were stunned in their transport modules by increasing CO2 concentrations from 20% to 85% over 6 min. Following defeathering, the carcasses continued through evisceration and then ice and water immersion chilled until breast fillets were deboned at 1, 2, or 4 h. The 6 treatment groups included CAS1h, CAS2h, CAS4h, ES1h, ES2h, and ES4h. Half of the breast fillets were weighed, packed in a zip-top bag, and kept in a cooler on ice for evaluation at 24 h. The pH, color (L*, a*, b*, hue, chroma), lipid oxidation (mg malonaldehyde/kg), drip loss (%), shear force (N), and aerobic bacteria levels (log 10 CFU/mL) were measured at 24 h (day 0). The rest of the breast fillets were weighted and then utilized for retail light display (3,000 lux) on Styrofoam trays, covered in polyvinyl chloride film, and stored for 7 d. On day 7, pH, color, lipid oxidation, drip loss, shear force, and aerobic bacteria levels were measured. Data were analyzed using linear mixed-effects models (restricted maximum likelihood estimation with Kenward-Roger adjustments) and Tukey’s honestly significant difference for mean separation using SAS (PROC MIXED) with significance at P value less than 0.05.
Results: Although the stunning technique (CAS vs. ES) had no significant impact on pH (P > 0.05), pH decreased with increasing deboning time (P = 0.035) at day 0 but did not differ at day 7 (P = 0.938). The final carcass temperatures for 1, 2, and 4 h were 7.83°C, 5.88°C, and 4.44°C, respectively. There was no significant difference in drip loss at day 0 or day 7. Drip loss increased with storage (P < 0.001). Deboning time showed a significant increase (P = 0.007) for L* on day 0, with the highest for 4 h (54.26), over 2 h (53.71), and 1 h (51.93). a* was significantly influenced by the deboning time (P < 0.001) and stunning × deboning time interaction (P < 0.001). There was no effect of stunning and deboning time or their interactions on b* on day 0 or day 7. Deboning time showed a significant (P = 0.0004) impact on hue angle on day 0, but stunning did not show any difference. Also, there was no effect on chroma on day 0 or day 7. Oxidation increased from day 0 (0.0079, P < 0.001) to day 7 (0.0187, P < 0.001) and was also influenced (P = 0.039) by the stunning methods on day 0. On day 7, there was also a significant effect (P = 0.037) of the stunning method. CAS birds showed higher (0.02) lipid oxidation than ES (0.01, P = 0.05). However, no significant effects were observed for deboning time and interactions. There was no significant effect of stunning and deboning time on shear force, but shear force significantly increased (P < 0.001) by day 7. Stunning method (P = 0.02) and deboning time significantly (P = 0.004) affected aerobic plate count (APC) on day 0. On day 7, only deboning time showed a significant (P < 0.001) effect. Also, there was a significant (P < 0.001) increase in aerobic plate count as the time of storage increased.
Conclusion: Deboning time affected pH, L*, a*, hue angle, and APC on day 0 but had minimal impact when evaluated after 7 d of storage. Additionally, the CAS method impacted lipid oxidation values on both day 0 and day 7. Storage time showed expected reductions in pH, increases in drip loss, lipid oxidation, shear force, and microbial growth observed by day 7 of retail display. These results emphasize that, although the time of deboning for broiler breast fillets does have immediate quality impacts, those differences are reduced over time. Our observed change in lipid oxidation between stunning methods may warrant further investigation.
Funding Source: This work was supported by the United States Department of Agriculture Agricultural Research Service, Athens, Georgia, project number 6040-42440-001-011-S; the Alabama Agricultural Experiment Station; and the Hatch Program of the National Institute of Food and Agriculture, US Department of Agriculture.
Keywords: chicken, quality, stunning, deboning, retail.
129 Determining the Effect of Electromagnetic-Assisted Freezing on the Thawing Yield and Tenderness of Previously Frozen Beef Longissimus Lumborum
Jordan T. Looper1,*, Sara R. Hene1, Sabrina D. Lee1, Zebang Zhou2, Bret N. Flanders3, Travis G. O’Quinn1, Morgan D. Zumbaugh1, and Michael D. Chao1, 1Department of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA, 2Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA, 3Department of Physics, Kansas State University, Manhattan, KS 66506, USA *jtlooper@ksu.edu
Introduction/Objectives: Large and irregularly shaped ice crystals have been shown to increase mechanical damage to muscle fibers during freezing, resulting in negative quality attributes, such as increased purge loss and changes in tenderness. Therefore, novel approaches, such as the incorporation of electromagnetic field (EM) to reduce ice crystal outgrowth during freezing of beef, have been studied. EM freezing has been theorized and shown to produce smaller, rounder ice crystals that are more evenly distributed, resulting in thawed beef more closely resembling fresh, never-frozen products. However, many of these studies focus on smaller cuts of beef compared with whole subprimals. The objective of this study was to determine the effect of EM-assisted freezing on the ice crystal size, thawing yield, and tenderness attributes of previously frozen beef longissimus lumborum (LL).
Materials and Methods: LL were collected from both sides of 12 US Department of Agriculture Choice carcasses, and each LL was halved into 2 equal parts and weighed. These halves were randomly assigned to 0, 2, 4, or 8 kV of EM and frozen under the designated treatments in a walk-in freezer (−20°C) for 24 h. Frozen cores were taken for x-ray–computed tomography for ice crystal size analysis. Weights were taken before and after coring to account for the weight of the cores. Following the freezing treatment, LL halves were thawed for 72 h at 2°C, weighed to measure total thaw yield, fabricated into steaks, and subjected to 10-d simulated display. Histological analysis for muscle fiber spacing was measured on steaks with 0-d display. Warner-Bratzler shear force (WBSF) was performed on steaks from days 0 and 10. Finally, protein degradation and free calcium analysis were conducted on steaks displayed for 0, 4, 7, and 10 d.
Results: Total thaw yield was highest for the LL halves from the 8-kV treatment compared with those from the other treatments (P < 0.01). However, no main effect of EM treatment was observed for muscle fiber spacing or ice crystal diameter (P > 0.05). On the other hand, degraded troponin-T and desmin percentages were lower in the high-voltage treatments compared with those from the 2 kV and the control (P < 0.01), but free calcium concentration was higher in the steaks from any of the EM treatments compared with those from the control (P < 0.01). Although differences in proteolysis were observed among the EM treatments, no main effect of treatment was observed in WBSF. As expected, both troponin-T and desmin degradation increased as display day increased (P < 0.01), and free calcium followed a similar pattern (P < 0.01). WBSF was lower on day 10 than on day 0 (P = 0.01).
Conclusion: Based on our findings, it is possible that EM-assisted freezing disrupted the membranes of calcium-storage organelles while simultaneously inactivating specific proteases. However, EM-assisted freezing shows potential to increase total thawing yield, providing economic incentives for producers on an industry level without altering consumer acceptability in tenderness. Further research should be conducted to determine the feasibility of commercial-scale integration of EM-assisted freezing of beef products.
Main effects of EM treatment on total yield, muscle fiber spacing, ice crystal diameter, degraded troponin-T and desmin, free calcium, and Warner-Bratzler shear force (WBSF) on beef longissimus lumborum
| 0 kV | 2 kV | 4 kV | 8 kV | SEM | P value | |
|---|---|---|---|---|---|---|
| Yield (%) | 97.01b | 97.12b | 97.23b | 97.69a | 0.17 | <0.01 |
| Muscle Fiber Spacing (μm) | 21.07 | 22.19 | 21.35 | 22.54 | 1.88 | 0.85 |
| Ice Crystal Diameter (μm) | 35.05 | 34.59 | 33.29 | 34.57 | 2.21 | 0.87 |
| Degraded Troponin-T (%) | 56.51a | 54.29a | 54.41a | 45.39b | 2.49 | <0.01 |
| Degraded Desmin (%) | 37.62a | 37.74a | 32.92b | 31.14b | 1.32 | <0.01 |
| Free Calcium (nmol/g protein) | 2.26b | 2.76a | 2.65a | 2.80a | 0.11 | <0.01 |
| WBSF (kgf) | 3.60 | 3.52 | 3.57 | 3.59 | 0.20 | 0.98 |
Funding Source: Research was coordinated by the National Cattlemen’s Beef Association, a contractor to the Beef Checkoff.
Keywords: electromagnetic field, freezing, striploin, XRCT, tenderness.
130 Shipping Factors Affecting Meat Quality Attributes and Meat E-Commerce
Paul Olaoluwaniyi Dahunsi1,*, Ximena Osorio2, Alan R. Vazquez2, and Derico Setyabrata1,3, 1Department of Animal Science, University of Arkansas, Fayetteville, AR 72704, USA, 2Department of Industrial Engineering, School of Engineering and Sciences, Tecnológico de Monterrey, 64700 Monterrey, Mexico, 3Department of Animal Science, Division of Agriculture, University of Arkansas System, Fayetteville, AR 72701, USA *pdahunsi@uark.edu
Introduction/Objectives: Online grocery shopping has continued to grow since its surge during the COVID-19 pandemic, creating more opportunities for local meat producers to generate profits through direct sales to consumers. Nonetheless, ensuring meat quality throughout shipping requires robust cold chain management, leading to higher shipping expenses that frequently discourage consumers from proceeding with their purchases. Shipping costs depend on a range of factors, which can also affect meat quality differently. The objective of this study was to identify the effects of 6 shipping factors on various meat quality traits.
Materials and Methods: A total of 5 boneless striploins (M. longissimus lumborum, US Department of Agriculture High Choice) were purchased from a local purveyor, aged to 28 d postmortem, and cut into steaks (∼2.54 cm thick and ∼250 g). Steaks were randomly assigned to 32 different shipping treatments, representing combinations of 6 two-level factors: (1) shipping container type (SCT; polystyrene foam vs. green/biodegradable foam), (2) coolant type (CT; ice packs vs. dry ice), (3) ambient temperature (AT; hot vs. cold), (4) shipping duration (SD; 1 d vs. 3 d), (5) Coolant load (CL; 20% vs. 40%), and (6) filler usage (FU; filler vs. no filler). The experiment was designed using a D-optimal approach in JMP Pro v16 to efficiently estimate all main effects and 15 two-way interactions while minimizing the number of experimental units. Each steak was vacuum packaged, frozen at –20°C, and subjected to its assigned simulated shipping condition. Product temperature during shipping was recorded using Thermo Button sensors. The experiment was repeated 3 times. Upon completion of the shipping simulations, samples were stored overnight in a refrigerator prior to analysis. Two steaks per treatment per run were evaluated for quality traits: 1 for odor, instrumental color parameters (L*, a*, b* chroma, and hue angle; following 1 h of blooming), cook loss, and Warner-Bratzler shear force; the other for aerobic bacteria concentration (APC), lactic acid bacteria concentration (LAB), thiobarbituric acid reactive substances assay, and pH. Data were analyzed using a linear mixed-effects model with carcass and experiment run as a random effect and shipping factors (main and 2-way interactions) as fixed effects. Significance was declared at P value less than 0.05.
Results: The results of the current study indicated that the observed factors have different impacts on final product quality following simulated shipping. Among the various factors, FU had the most significant effect on meat quality attributes, including a*, b*, chroma, pH, odor, and LAB (P < 0.05). AT influenced a*, chroma, hue angle, and LAB (P < 0.05). A significant SD impact was observed on WBSF and APC, whereas CL only affected the final meat pH (P < 0.05). No significant effect was observed from SCT and CT on any of the measured attributes (P > 0.05). It could be speculated that the changes in product temperature greatly influenced the final meat quality and contributed to the observed result. The average peak internal temperature of meat shipped in cold AT and hot AT was −0.6°C and 2.1°C, respectively. Although significant differences were observed among treatments following shipping under various conditions, the numerical differences between them were relatively small and potentially not practically meaningful. This suggests that certain shipping practices could potentially be modified to reduce costs without substantially compromising meat quality.
Conclusion: According to the result, shipping factors influenced the final quality attributes of shipped meat differently. The ambient shipping temperature, filler usage, and shipping duration had the greatest impact on the final meat quality in this study. However, only minimal numerical differences were observed between treatments, suggesting that modification of the shipping conditions will not negatively impact the final product quality. Further studies are recommended to enhance the understanding of these factors and their interactions and to create a prediction model for the ideal shipping conditions that optimize meat quality.
Funding Source: This project is funded by the Arkansas Beef Council.
Keywords: beef quality, e-commerce, shipping, palatability, D-optimal.
Meat and Poultry Quality and Composition - Measurement and Prediction
131 Within-Carcass Relationships of Muscle, Fat, and Bone in the Round, Loin, Rib, and Chuck
Esteban Penados*, Andres Mendizabal, Dale Woerner, Blake Forarker Animal and Food Sciences, Texas Tech University, Lubbock, TX 79409, USA *espenado@ttu.edu
Introduction/Objectives: Carcass composition is often estimated using indicators at singular locations on a carcass, which may oversimplify differential patterns of tissue deposition. Hence, tools developed to more accurately predict carcass composition may need to account for these differential patterns of tissue deposition. Computed tomography (CT) has demonstrated a high degree of efficacy and accuracy in measuring carcass tissue abundance (Foraker et al., unpublished, 2024). The objective of this study was to evaluate relationships between tissue abundance measured by CT in 4 carcass primals: round, loin, rib, and chuck.
Materials and Methods: Cattle (N = 92), including cows (n = 26), steers (n = 39), and heifers (n = 27), were harvested at Washington State University (WSU) Meat Laboratory. Carcasses were chilled a minimum of 28 h, fabricated into 9 pieces at standard industry breaks to reduce the size required to enter the gantry of the CT scanner, and scanned using CT (Aquilion 16, Toshiba Medical Systems, Tokyo, Japan) at the WSU Veterinary Teaching Hospital. Voxels from CT scans were segmented into muscle, fat, and bone and quantified using parameters reported by Foraker et al. (unpublished, 2024). Mass of muscle, fat, and bone determined by CT was computed and expressed as a percentage of the cold side weight within each primal (round, loin, rib, and chuck). Also, ratios of muscle to fat and muscle to bone were calculated within each primal. Pearson correlation coefficients were used to build a matrix and evaluate the relationship between tissue abundance in each primal. We used the software RStudio to generate it.
Results: Within the correlation matrix, we identified that, within muscle tissue, rib and loin were most highly related (r > 0.829), and the lowest correlation was loin with chuck (r > 0.685). Within the bone correlation matrix, we identified that the relationship with the highest correlation was rib and chuck (r = 0.921), and the lowest was round and loin (r = 0.759). Within fat tissue, the correlations with the highest coefficient were rib and chuck (r > 0.967) and rib with loin (r > 0.971). However, the relationship with the lowest correlation coefficient was round and chuck (r = 0.882). Muscle-to-fat ratios were more highly correlated with each other between primals than were muscle-to-bone ratios, indicating that there was more variance among carcass regions in muscle-to-bone ratios. The muscle-to-fat ratio of chuck and loin had the highest correlation (r = 0.96), whereas the correlation between rib with round and loin with round was the lowest (r < 0.91).Within the muscle-to-bone correlation matrix, we identified that the relationship with the highest correlation was chuck and rib and the lowest correlation was loin with rib (r = 0.58).
Conclusion: Anatomically proximate primals exhibited a stronger correlation of tissue abundance than those that were further distant. Muscle-to-bone correlation matrix shows the low relationship that exists between the tissue proportions between rib and loin. This information shows the importance of having different measurement zones in strategic points of the carcass. This work provides an understanding of the differential deposition of carcass tissues among different carcass regions, which may be beneficial in determining a more accurate solution to predicting beef carcass yield.
Keywords: CT, cattle, relationships, tissues, measurement.
Meat and Poultry Quality
132 Effects of Feeding a Multipolyphenol Supplement to Finishing Pigs on Quality and Color Stability of Loin Chops
Diana M. Hernandez1*, Anna C. Dilger1, Bailey N. Harsh1, Ashley Wagner2, and Chad A. Stahl3, 1Department of Animal Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA, 2Probiotech International Inc, Saint-Hyacinthe, QC J2S 8L2, Canada, 3Hypor USA, Beresford, SD 57004, USA *hergo898@illinois.edu
Introduction/Objectives: Vitamin E is commonly added to finishing pig diets for its antioxidant role in protecting muscle tissue from oxidative damage—an issue heightened by increased use of distillers dried grains with solubles, which are high in polyunsaturated fatty acids that are more prone to lipid oxidation. This oxidative process can lead to off-flavors, discoloration, shorter shelf life, and ultimately, reduced consumer acceptance. Although effective, vitamin E’s action is mostly limited to the cell membranes. To enhance antioxidant protection, there has been growing interest in natural polyphenol compounds that act more broadly both within and outside cells. These compounds scavenge free radicals, regenerate vitamin E, and inhibit pro-oxidative processes, which may ultimately enhance the overall effectiveness of vitamin E, improve pork quality, and extend color shelf life. This study aimed to evaluate the effect of supplementing finishing pigs with a multipolyphenol compound (Boreox 50 [BOR]) on quality and shelf life of pork loin chops.
Materials and Methods: Eighty vacuum-packaged pork loins (40 loins per treatment) were received at the University of Illinois, labeled with color-coded tags to anonymize researchers to treatments. Loins were sourced from commercial finishing pigs fed 1 of 2 diets for 90-d preslaughter: an experimental diet containing 10 IU/lb of vitamin E and 3.21 lb/ton of BOR (a polyphenol supplement) or a control diet containing 10 IU/lb of vitamin E without the supplement (CON). Loins were aged at 4°C till 14 d postmortem. After aging, purge loss and ultimate pH were measured. Loins were fabricated into two 2.5-cm chops: 1 for Warner-Bratzler shear force (WBSF) and 1 for retail display. Subjective color, marbling, and firmness were evaluated on the WBSF chop after a 20-min bloom. Instrumental color (CIE L*, a*, b*) was recorded using a Minolta CR-400 Chroma meter (illuminant D65). WBSF chops were vacuum sealed and frozen at −20°C until analysis. For WBSF, chops were thawed at 4°C for at least 24 h and cooked to 63°C on Farberware open-hearth grill. Chops were weighed before and after cooking to measure cook loss percentage. Chops were cored parallel to muscle fibers and sheared perpendicular, using the average of 4 cores per chop to estimate shear force using a Texture Analyzer TA. Retail display chops were placed on foam trays, overwrapped with oxygen-permeable film, and stored at 4°C under continuous lighting for 7 d. Chops were randomly placed and rotated daily. Discoloration was evaluated daily by 6 trained technicians using a 10-cm unstructured scale (anchored at 0%, 50%, 100%). Instrumental color and spectral data were collected daily using a HunterLab MiniScan EZ spectrophotometer (illuminant D65, 10° observer angle, 31.8-mm view area), and reflectance ratios at 630/580 nm were calculated. Data were analyzed using the MIXED procedure of SAS (SAS Inst. Inc., Cary, NC) under a completely randomized design, with fixed effect of diet. Repeated-measures analysis was performed on shelf-life data using a compound symmetry covariance structure. Least-squares means were sliced by day and separated using PDIFF option for shelf-life data. Differences were considered significant at P value less than 0.05.
Results: No differences were observed among the diet groups in loin pH, purge loss, subjective color, yellowness (b*), tenderness (WBSF), or cook loss (P ≥ 0.19). CON chops exhibited greater subjective marbling and firmness scores compared with those fed the BOR diet (P < 0.01). There was a tendency (P < 0.06) for BOR chops to be darker (L*) and redder (a*) than CON chops after aging (day-14 postmortem). Although instrumental lightness (L*) changed over time (P < 0.01), no difference between treatments or interaction between treatment and day of display was observed (P ≥ 0.31). Across all days of retail display, BOR chops were redder (a*) than CON chops (P < 0.01). An interaction between treatment and day of display was also observed for redness, with a greater decrease in redness of CON chops observed at day 6 and day 7 than the previous 5 d of display. Similarly, differences in yellowness (b*) were observed across all days of display (P < 0.01), with CON chops observed as less yellow than BOR chops. However, no interaction between treatment and day of display was observed for yellowness. For visual discoloration, an interaction between treatment and day of display was observed (P < 0.01). However, when sliced by day of display, no differences in discoloration between CON and BOR chops were observed from day 1 to day 5 (P > 0.05). On both day 6 and day 7, CON chops exhibited greater discoloration than BOR chops (P < 0.01). Although the 630/580-nm reflectance ratio decreased over time in both treatments (P < 0.01), BOR chops consistently exhibited greater ratios than those from the CON group (P < 0.01), indicating less surface metmyoglobin accumulation. An interaction between treatment and day of display was also observed (P < 0.01), with reflectance ratios of CON chops declining at a greater rate at day 6 and day 7 than observed the previous 5 d of display.
Conclusion: BOR improved pork color stability during retail display, as evidenced by reduced surface discoloration, greater redness and yellowness, and elevated 630/580-nm reflectance ratios, indicating reduced metmyoglobin accumulation and, consequently, extended shelf life. Importantly, BOR supplementation did not negatively impact key pork quality traits, such as ultimate pH, purge loss, subjective color, tenderness (WBSF), or cook loss. Although slight reductions in subjective marbling and firmness scores were observed, these findings warrant further investigation. Overall, these results suggests that BOR may serve as a promising dietary strategy for commercial pork production systems. This is particularly relevant in retail settings, where improved color stability offers a clear advantage, as meat color is a primary visual indicator of freshness and a major factor influencing consumer purchasing decisions.
Funding Source: Probiotech International Inc.
Keywords: pork, polyphenol, vitamin E, color stability, discoloration.
133 The Effect of Silvopasture Versus Indoor Environment and Broiler Breed on Meat Quality
Jean C. Caceres*, Camila Hammel Sobreira, Afsana Rahaman Munmun, Christina S. Sigmon, Athena D. He-DeMontaron, Allison N. Pullin, Jesse Grimes, Lin L. Walker, and Yan L. Campbell, Prestage Department of Poultry Science, North Carolina State University, Raleigh, NC 27695, USA *jccacere@ncsu.edu
Introduction/Objectives: Outdoor access in broiler production systems is perceived as more natural, environmental, and animal welfare friendly from the consumer’s point of view. In addition to that, several researchers have suggested that outdoor access may influence other meat quality traits, such as fat content, meat color, oxidative stability, sensory attributes, and others. Silvopasture (SP) systems, which combine the use of mature trees and pasture in an open-access environment, may improve broiler meat characteristics compared with conventional (CV) indoor systems. This study evaluated the impact of SP versus CV housing systems and 2 breeds, Ross 708 (fast growing) and SASSO (slow growing), on nutrient composition, pH, color, texture, and the following myopathies: woody breast (WB), white striping (WS), and spaghetti meat (SM). Understanding these factors is essential for improving product quality and sustainability in poultry production.
Materials and Methods: Five hundred birds from each breed were randomly placed into either SP or CV housing systems with 5 pens per system (50 birds/pen). Ross 708 birds were processed at 6 wk, whereas SASSO birds were processed at 8 wk to align with breed-specific growth rates. Measurements included weight for live bird, hot carcass, and cut-up, followed by measurements on the right breast for pH (15 min, 2 h, 24 h, and 3 mo) with a portable pH meter; texture with Warner-Bratzler and BMORS methods using a texture analyzer; myopathy scoring by visual and palpation assessments; and meat composition (fat, moisture, protein, collagen, and ash content), this using near-infrared spectrophotometer meat analyzer. These were analyzed to assess nutritional and structural properties. Measurements were taken on the right breast and thigh for color (24 h and 3 mo). Statistical analysis was conducted using 2-way analysis of variance and general linear model in a 2 × 2 factorial design in SAS 9.4 with Duncan’s multiple-range test for mean separation.
Results: Production systems and breeds significantly impact meat composition and quality attributes. SP birds exhibited lower body weights than CV birds (i.e., live weight: SP = 2.70 kg vs. CV = 2.84 kg, P < 0.05). SASSO birds weighed less than Ross 708 in both systems (i.e., live weight: Ross 708 = 3.21 kg vs. SASSO = 2.34 kg, P < 0.05). For pH, the analysis showed SP birds had a lower pH within 24 h of processing (SP = 5.94 vs. CV = 6.00, P < 0.05). For breeds, Ross 708 meat consistently had greater pH values at all measured intervals. The interaction of SP and SASSO resulted in the lowest pH values at the initial measurement (5.90 at 15 min) and the last (5.92 at 3 mo). In contrast to the other interactions, SP and SASSO were 6.35% lower at 15 min and approximately 2% lower at 3 mo, highlighting breed-specific responses to production systems. Composition analysis revealed that SP meat was not different in fat (2.09% vs. 2.14%), protein content (22.18% vs. 21.95%), and moisture levels from CV meat (P > 0.05). SASSO meat had greater fat content (2.40% vs. 1.83%) and protein content (22.75% vs. 21.39%) compared with Ross 708 meat, regardless of housing system (P < 0.05). Ross 708 meat had a higher moisture level (75.93% vs. 73.67%) than SASSO meat, despite housing system (P < 0.05). Interaction data indicated that SP SASSO meat had the greatest fat (2.70%) and protein content (22.44%) (P < 0.05). Myopathy scoring indicated that Ross 708 breasts had a greater incidence of WB and WS and mild SM (P < 0.05), whereas SASSO meat showed minimal WS and no WB or SM. SP meat demonstrated a lighter thigh color than CV meat, and SASSO breasts were darker, redder, and less yellow than Ross 708 (P < 0.05).
Conclusion: Both the production system and breed significantly influenced broiler meat quality traits, with differences being more pronounced. SASSO birds, particularly when raised in SP systems, exhibited an enhanced meat quality, with minimal myopathies, greater protein content, and favorable pH stability. However, these benefits may reflect a better compatibility of SASSO with the SP environment rather than a universal advantage of SP systems. In contrast, Ross 708, especially under SP conditions, demonstrated a higher incidence of myopathies, lower protein content, and less-stable postmortem pH values. These results suggest that the SP system may enhance product quality and consumer acceptance while reducing product defects and economic losses, considering the genetic factor of each breed. Future studies should expand on evaluating additional meat attributes, such as oxidation ratio (thiobarbituric acid reactive substances assay), sensory quality, and fatty acid profile, further to define SP’s potential advantages and limitations in sustainable broiler meat production across different genetic lines.
Funding Source: Founding: General Mills.
Keywords: rearing, breed, welfare, meat quality.
Meat and Poultry Quality and Composition - Measurement and Prediction
134 Association of Cattle Type and Liver Abscesses Upon Retail Color of Beef Striploin Steaks
Megan E. Eckhardt*, Trent E. Schwartz, Loni W. Lucherk, and Ty E. Lawrence, West Texas A&M University, Canyon, TX 79016, USA *meckhardt@wtamu.edu
Introduction/Objectives: Muscle color changes from oxymyoglobin to metmyoglobin during retail display are well documented. Intrinsic factors, including breed and health, as well as extrinsic factors, including postmortem handling, are known to impact biochemical changes of meat products. Variability of muscle composition and metabolism traits via fiber type proportions amongst breeds of cattle suggests additional implications on retail color performance. Currently undocumented in literature are the confounding associations of cattle type and liver abscess pathology upon retail color life. Thus, the objectives of this study were to determine the associative effects of native versus dairy genetics and liver abscess occurrence upon objective color stability of beef longissimus lumborum steaks in a simulated retail setting.
Materials and Methods: A completely randomized experimental design utilizing a 2 × 2 categorical treatment structure consisting of cattle genetic type (CATTLE; NAT, native; DX, dairy-cross) and liver abscess occurrence (LIVER; EDIBLE, edible liver; ABSCESS, major liver abscess [A+, Elanco scoring system]) was used to develop 4 categorical combinations. Striploins (n = 44; 11 per cattle type and liver abscess category) were collected at a commercial beef abattoir, and the 3 most anterior 1.3-cm-thick steaks (n = 132 total steaks) were cut, vacuum packaged, and stored in the absence of light at 3°C for 7, 21, or 35 d until retail display. Steaks were displayed for a 228-h duration at 2°C to 4°C in a multideck retail case and rotated daily. Instrumental color (L*, a*, b*, spectral values) were collected at 0 h and every 12 h until 228 h. Hue angle and chroma saturation values were calculated via a* and b* values. Percentage deoxymyoglobin (DMb), oxymyoglobin (OMb), and metmyoglobin (MMb) were calculated using spectral values (470, 480, 520, 530, 570, 580, 610, and 700 nm). Data were analyzed using mixed models; cattle type and liver abscess occurrence were fixed effects, and marbling was a covariate to control for lean area variance. Although previously established as contributing fixed effects, aging duration and hour of display were considered random effects to improve the clarity of results responding to the current study objectives. Feedlot of origin and steak number were also considered random effects. Data were analyzed as repeated measures using the compound symmetry covariance structure.
Results: Numerous steak objective color measurements were affected (P ≤ 0.015) by the interaction of CATTLE × LIVER or the LIVER main effect (P ≤ 0.005). Lightness (L*) was impacted by the CATTLE × LIVER interaction (P < 0.001). Within DX, EDIBLE was lighter than ABSCESS, and, alternatively, the opposite was observed within NATIVE (P ≤ 0.005). Each treatment combination differed (P ≤ 0.005) from one another (DX-EDIBLE > NAT-ABSCESS > NAT-EDIBLE > DX-ABSCESS). The DX-EDIBLE steaks presented the lightest color, whereas the DX-ABSCESS steaks had the darkest lean color. Redness (a*) interaction means differed (P = 0.015); DX-ABSCESS steaks were redder (P ≤ 0.002) than both DX- and NAT-EDIBLE steaks. The NAT-ABSCESS steaks were also redder (P = 0.017) than DX-EDIBLE steaks, although both CATTLE-EDIBLE steaks (P = 0.197) were similar in redness. Complementary to redness, the CATTLE × LIVER interaction (P = 0.005) for hue angle suggested DX-EDIBLE steaks had the largest hue angle (P = 0.015), indicative of the least-red color. All other steaks were similar (P ≥ 0.171). The data suggest DX steaks provide the widest range of red color, indicated by the largest and smallest numerical hue angle and a* values. Chroma saturation was impacted by LIVER (P = 0.001), in which steaks from cattle with a severe liver abscess were more saturated in color. Both percentage of MMb and DMb were impacted by the CATTLE × LIVER interaction (P ≤ 0.001). Indicative of discoloration, NAT-ABSCESS and DX-EDIBLE steaks were similar (P = 0.669) and higher (P = 0.011) for percentage MMb than NAT-EDIBLE, whereas DX-ABSCESS steaks were intermediate (P ≥ 0.226). Lastly, oxymyoglobin percentages were impacted by LIVER (P = 0.005), in which OMb percentages were higher for steaks from cattle containing a liver abscess than from cattle with edible livers.
Conclusion: Steak color attributes were significantly influenced by cattle type and liver abscess occurrence, with notable interactions. Steaks from DX-EDIBLE cattle were lightest and least red in color, whereas DX-ABSCESS steaks were darkest and reddest. Liver abscesses were associated with increased color saturation and oxymyoglobin content of steaks. Steaks from DX cattle exhibited the widest range of color variation, suggesting that both liver health and cattle type are factors in determining beef color quality. Altered liver function and diminished glycogen production and storage likely result from severe liver abscesses. Alteration of muscle metabolism resulting from liver abscesses possibly promotes a darker, more concentrated red color, as witnessed in the current study. This pathology may differ in impact due to cattle genetic types. These findings suggest that liver abscess status, in combination with cattle type, plays a role in beef color at retail.
Funding Source: This project was funded by the West Texas A&M University Beef Carcass Research Center.
Keywords: beef, display, myoglobin.
Meat and Poultry Quality
135 The Influence of Cold Storage Practices on Meat Quality Attributes of American Ground Lamb
Kiersten Gundersen1*, Amy Volk1, Wanda Keller1, Mara Hitchert1, Erin Beyer2, Kasey Maddock-Carlin1, Travis Hoffman1, 1Animal Sciences, North Dakota State University, Fargo, ND 58105, USA, 2Animal Sciences, Kansas State University, Manhattan, KS 66506, USA *kiersten.gundersen@ndsu.edu
Introduction/Objectives: American lamb seasonality of supply and preference for fresh retail product inherently challenges the cold supply chain management from processor to consumer. Cold storage practices can significantly impact inventory, lamb quality, and consumer satisfaction. Both fresh and frozen lamb storage results in less-than-ideal outcomes on color stability and product oxidation, resulting in economic losses and reduced consumer appeal. The objective of this study was to determine whether an alternative cold storage method is a viable option to conventional fresh and frozen ground lamb storage. The supply chain may encourage fresh American lamb at retail, yet we further evaluated a modified fresh and frozen ground lamb product for changes in color, oxidation, and cook loss.
Materials and Methods: Ground lamb packages (1.0 lb; N = 60) were singly sourced from a US lamb processing facility and equally divided into 3 categories: fresh (F), frozen (FZ), and modified fresh technology (MF). MF is a patented, proprietary, and trademarked process that stores red meat protein near freezing while maintaining a fresh status. For this study, ground lamb packages designated to FZ or MF were stored for 36 d prior to evaluation; fresh was 2 d prior to evaluation. Patties were formed using a commercially available patty maker to 113 g. Patties from each treatment group were assigned to (1) 5-d shelf life, (2) pH and cook loss, (3) lipid oxidation analysis (stored at −80°C), and (4) proximate analysis (sent to Kansas State University). Patties were equilibrated to room temperature prior to cooking, and raw weight was collected. Patties were cooked on an electric clam-shell grill (Cuisinart Electric Griddler GR5DP1, Cuisinart, Stamford, CT). The internal temperature of the patties was monitored with a Thermapen (ThermoWorks THS-235-427, American Fork, UT) placed in the center of each patty until a peak internal temperature of 71°C was reached. All patties were allowed to cool for a minimum of 10 min before cooked patties were weighed and cook loss percentage was calculated. For 5-d shelf life, patties were packaged on a Styrofoam tray, overwrapped in polyvinyl chloride film, and displayed in a 4°C cooler under continuous fluorescent lighting. Color measurements were taken every 24 h with a Minolta colorimeter (CR-450 Chromameter, Konica Minolta, Tokyo, Japan). A portable pH meter HI 99163 (Hanna Instruments, Woonsocket, RI) was used to collect intramuscular pH values. Lipid oxidation was assessed utilizing OxiSelect thiobarbituric acid reactive substances assay kit (malondialdehyde [MDA] quantification; Cell BioLabs, Inc. San Diego, CA) by following the manufacturer’s procedures with modifications as follows: Samples were incubated in dry heating blocks at 100°C for 45 min, cooled, and centrifuged at 10,000 × g at 12°C for 12 min. All data were analyzed with PROC GLIMMIX procedure of SAS 9.4 to identify differences across fixed effects (treatment group and retail display day). Significance was determined at P value less than or equal to 0.05.
Results: There was a treatment effect (P ≤ 0.05) on pH in which F was lower than MF, and that was lower than FZ. A tendency (P ≤ 0.10) of treatment effects was observed for cook loss wherein MF was lower than FZ. There were differences (P ≤ 0.05) for treatment and treatment × retail display day for L*, a*, and b* values. F had the most preferred color stability, with higher L* values across the 5-d retail display. MF was lighter than FZ from day 2 to day 4. F was less red (a*) than MF, and MF was less red than FZ from day 1 until the completion of the retail display. There was a treatment effect (P ≤ 0.05) on mg of MDA/kg of meat levels, with F having the highest MDA levels. Treatment F had noticeably more mg of MDA/kg of meat levels (13.34 mg of MDA/kg of meat) compared with FZ (11.05 mg of MDA/kg of meat) and MF (10.70 mg of MDA/kg of meat). F had the highest (P ≤ 0.05) percentage of fat and the lowest (P ≤ 0.05) percentage of moisture compared with both FZ and MF. Protein was not (P ≥ 0.05) different across treatments. The higher fat percentages in the F could contribute to the lighter L* values measured as well as the higher MDA levels because of increased susceptibility to oxidation. The higher MDA levels in F could be a factor in the lower a* values compared with FZ.
Conclusion: The primary takeaways from this study are: (1) MF had a reduced cooking loss compared with FZ treatment, and (2) the evaluations for color stability that influence discoloration rates find MF and F treatments similar in comparison. Therefore, our analysis provides insights into alternative storage options for fresh ground lamb in that retail display color and oxidation of MF samples were within the range of measurements observed from F and FZ samples, with additional improvements on cook loss percentage. Therefore, MF is a viable storage option that could help improve American lamb supply availability and end-product quality management.
Funding Source: American Lamb Board.
Keywords: American lamb and meat quality.
136 Evaluating the Effects of Storage Conditions and Packaging Methods on the Shelf Life and Quality Attributes of Sturgeon Fillets (Acipenser spp.)
Logan Rosenberg, Toni Duarte, Yuyuan Feng, Saiful Islam, Sudipta Talukder, Jackson A. Gross, and Xiang Yang, University of California, Davis, Davis, CA *larosenberg@ucdavis.edu
Introduction/Objectives: California accounts for much of the sales revenue from sturgeon products in the United States. Although caviar remains the premium and most recognized product, sturgeon meat is becoming increasingly valued for its culinary versatility and appeal to health-conscious consumers for its high protein and beneficial fat content. As the market grows, understanding spoilage dynamics is becoming increasingly crucial for ensuring product quality and safety across distribution. This study evaluated the effects of storage and packaging methods on the meat quality of sturgeon fillets at retail display.
Materials and Methods: Male white sturgeons (N = 32, everage weight = 15.69 kg) were harvested using percussion stunning and gill and tail bleeding from a commercial farm in California. Fish were randomly assigned into 1 of 4 dark storage treatments: chilled for 3 d (C3), chilled for 7 d (C7), frozen for 1 mo (FZ), and blast frozen followed by frozen for 1 mo (BT). At the end of dark storage, within each fish, 2 fillets were packaged individually in polystyrene trays and overwrapped (OW), and another 2 fillets from the same fish were vacuum packaged (Vac). Packaged samples were placed on a commercial display case (1°C) and exposed to light for 5 d. Microbial counts (log CFU), lipid oxidation (mg malondialdehyde/kg meat), texture (texture profile analysis), color, pH, and drip loss studies were conducted in order to analyze spoilage indicators on each fillet on day 00 (after slaughter), day 0 (after dark storage), and day 5 (end of retail display). Microbial analysis specifically measured the populations of Enterobacteriaceae (EB), Pseudomonas spp. (PS), lactic acid bacteria (LAB), and aerobic psychrotrophic bacteria (APB). Statistical analyses were conducted in R using linear mixed-effects models appropriate to each experimental design: split-plot designs for microbial, texture, drip loss, and pH data and a split-split plot design for color measurements. Significant main effects and interactions were evaluated using analysis of variance and post hoc pairwise comparisons with an α level of 0.05.
Results: Baseline fillets had no significant differences (P > 0.05) in microbial counts for all bacteria types. After dark storage, microbial counts in frozen groups decreased (P < 0.05) EB and PS. Although FZ samples retained lower (P < 0.05) APB, PS, and LAB, these samples ended with the highest (P < 0.05) EB counts by day 5. Chilled groups had higher (P < 0.05) APB and PS counts regardless of the packaging. Vacuum packaging did not significantly reduce microbial growth. In the few cases when differences were observed, they were less than 1 log CFU/g. Drip loss for all the groups increased (P < 0.05) after dark storage. The FZ groups had the highest (P < 0.05) drip loss (14.8%), whereas BT had similar values with the chilled groups (P > 0.05). Concurrently, the pH of samples decreased (P < 0.05) over time, indicating a reduced water holding capacity contributing to increased drip loss. Texture attributes were uniform for baseline samples (P < 0.05). However, hardness, chewiness, and gumminess would differ (P < 0.05) in C3 and FZ groups. By day 0, frozen groups experienced a significant reduction in hardness, springiness, and chewiness. By day 5, OW-BT would exhibit the highest (P < 0.05) chewiness scores. Frozen groups had higher (P < 0.05) cohesiveness than chilled groups, regardless of packaging type. Vac samples also retained significantly greater springiness (P < 0.05) than overwrapped counterparts. The average initial thiobarbituric acid reactive substances assay (TBARS) values for all samples were similar (0.626; P > 0.05). After dark storage, frozen groups exhibited lower (P < 0.05) TBARS values than chilled groups. By the end of the retail display, C7 groups had the highest (P < 0.05) average TBARS value (0.844) among all the storage groups. Packaging types did not (P > 0.05) affect the TBARS values. Only packaging significantly affected L*. Vac samples retained higher (P < 0.05) L* values, or a lighter appearance, than overwrapped samples across all storage groups. The a* values decreased (P < 0.05) over time, and chilled groups retained higher (P < 0.05) a* values than frozen groups by day 5. Overall, b* values increased (P < 0.05) over time, whereas the storage methods and packaging types had a variable effect (P < 0.05). The Vac-C7 groups maintained the lowest (P < 0.05) b* values over time among all treatment groups. In contrast, OW-C3 and Vac-FZ samples exhibited the highest (P < 0.05) b* values.
Conclusion: The findings of this study suggest that the freezing process initially reduced microbial counts, but this advantage diminished during retail display after the fish were thawed. Additionally, the vacuum packaging method used did not demonstrate a clear advantage in reducing microbial load or slowing lipid oxidation. Regarding the physicochemical and sensory attributes of the fish fillets, BT-Vac fillets retained better color, had lower drip loss, and preserved key textural properties, such as chewiness and adhesiveness. This makes BT-Vac a promising combination for maintaining overall fillet quality during frozen storage and retail display.
Funding Source: Western Regional Aquaculture Center.
Keywords: fish, sturgeon, shelf, quality, spoilage.
137 The Influence of Cold Storage Practices on Meat Quality Attributes From American Retail-Ready Sirloin Lamb Chops
Kiersten Gundersen1*, Wanda Keller1, Mara Hirchert1, Virginia Montgomery1, Erin Beyer2, Kasey Maddock-Carlin1, Travis Hoffman1, 1Animal Sciences, North Dakota State University, Fargo, ND 58105, USA, 2Animal Sciences, Kansas State University, Manhattan, KS 66506, USA *kiersten.gundersen@ndsu.edu
Introduction/Objectives: Supply and demand for fresh retail American lamb is a challenge for retail chains and purveyors reaching consumers. Furthermore, retail chains affirm that lamb is most preferred fresh and not frozen in the meat case. The lamb industry offers retail-ready steaks and chops for convenience. Cold storage practices can play a considerable role in lamb quality and merchandising of products. The objective of this study was to investigate lamb quality attributes and corresponding physiochemical differences between different cold storage practices. Storage can impact color stability, consumer appeal, and economics across the supply chain. With an inconsistency of continuous availability of fresh lamb, storage optimization was evaluated for alternative cold supply chain management with a modified fresh and frozen retail-ready chop.
Materials and Methods: Retail-ready paired lamb sirloin chops (N = 100) were sourced from a US lamb processing facility. The sirloin chops were divided into 5 categories: fresh (F), frozen (FZ), and modified fresh technology (MF) for 60 d, 75 d, and 90 d. MF is a patented, proprietary, and trademarked process that allows for the storage of red meat proteins at temperatures at or slightly above freezing point while maintaining the fresh status. From the packages of each treatment, 1 sirloin chop was assigned to 5-d shelf life and lipid oxidation. An approximate 50-g sample was allocated from the sirloin chop for lipid oxidation and stored at −80°C. The second sirloin chop was used for moisture loss and Warner-Bratzler shear force (WBSF). Sirloin chops were equilibrated to room temperature prior to cooking, and raw weight was collected. Chops were cooked on an electric clam-shell grill (Cuisinart Electric Griddler GR5DP1, Cuisinart, Stamford, CT). The internal temperature of the chops was monitored with a Thermapen (ThermoWorks THS235-427, American Fork, UT) placed in the center of each chop and cooked to a target temperature of 71°C. All chops were allowed to cool for a minimum of 10 min before reweighing and cook loss percentage calculation. For 5-d shelf life, sirloin chops were packaged on a Styrofoam tray, overwrapped in polyvinyl chloride film, and displayed in a 4°C cooler under continuous fluorescent lighting. Color measurements were taken every 24 h with a Minolta colorimeter (CR-450 Chromameter, Konica Minolta, Tokyo, Japan). Lipid oxidation was assessed utilizing OxiSelect thiobarbituric acid reactive substances assay kit (malondialdehyde [MDA] quantification; Cell BioLabs, Inc. San Diego, CA) by following the manufacturer’s procedures modifications as follows: Samples were incubated in dry heating blocks at 100°C for 45 min, cooled, and centrifuged at 10,000 × g at 12°C for 12 min. All data were analyzed with PROC GLIMMIX procedure of SAS 9.4 and used to identify differences across fixed effects (treatment group and retail display day). Mean was considered significant when P value was less than or equal to 0.05.
Results: There was a treatment effect (P ≤ 0.05) on drip loss, cook loss, and WBSF. MF lamb sirloin chops had lower amounts of drip loss, greater cook loss, and improved tenderness compared with F or FZ sirloin chops. MF sirloin chops had lower WBSF values compared with F or FZ sirloin chops, but there were no differences amongst MF 60-d, 75-d, and 90-d WBSF values. There were differences identified (P ≤ 0.05) for treatment × retail display day for L*, a*, and b* values. MF chops, regardless of storage time, had higher L* values compared with F and FZ treatments, appearing visually lighter from day 0 to day 4. The FZ chops had the highest a* values (P ≤ 0.05) throughout the entire retail display, and MF at 60 d had the lowest a* values throughout the entire retail display. There was an effect (P ≤ 0.05) on MDA levels, with F having the highest MDA levels as an indication of lipid oxidation. There were no differences observed between FZ and MF treatments.
Conclusion: The primary takeaways from this study are: (1) MF had noticeable less drip loss than FZ treatment; (2) MF had exhibited greater tenderness, as indicated by lower WBSF values, compared with F and FZ treatments; (3) MF visually appeared lighter in color when evaluating color stability; and (4) MF and FZ had a lower amount of MDA levels than F to indicate less lipid oxidation. As an alternative to fresh lamb, our analysis provides insight into alternative storage options for retail-ready lamb. Acceptable color stability comparisons and lipid oxidation values, along with less drip loss and improved tenderness, reinforce the potential commercial acceptance of MF compared with either F or FZ American lamb. With lamb quality and consumer acceptability in mind, MF is a viable storage option that could help improve American lamb supply availability and end-product quality management.
Funding Source: American Lamb Board.
Keywords: American lamb, meat quality.
138 Reduction of Listeria monocytogenes in Deli Meat Using Enterococcus faecium J19 and Lactobacillus sakei L15
Brayan Montoya-Torres*, Mauricio Martinez-Martinez, Rosa Pagoada, Qingli Hull, and Mindy Brashears, International Center for Food Industry Excellence (ICFIE), Texas Tech University, Lubbock, TX 79415, USA *brayan.d.montoya@ttu.edu
Introduction/Objectives: Listeria monocytogenes is a major foodborne pathogen, especially in ready-to-eat (RTE) meat products. Recent listeriosis outbreaks linked to deli meats underscore the serious health risks it poses to vulnerable populations. Utilizing lactic acid bacteria (LAB) that produce antilisterial bacteriocins and metabolites offers an effective strategy to inhibit and control L. monocytogenes growth, thereby enhancing food safety management. The deli meat outbreaks further emphasize the pressing need for innovative food safety strategies to protect consumers and ensure food safety. LAB are characterized by the production of lactic acid and other antagonistic metabolic end products, including bacteriocins that demonstrated effective inhibition of L. monocytogenes in previous studies. This study aimed to evaluate the antilisterial effectiveness of 2 characterized LAB strains—Enterococcus faecium (J19) and Lactobacillus sakei (L15)—applied to surface-inoculated deli meat (ham) using sprays to control 3 strains of L. monocytogenes during storage in retail display cases at 4.0°C.
Materials and Methods: Three L. monocytogenes strains, stored at –80°C and selected based on the presence of key virulence-associated genes, were reactivated and cultured to a target concentration of approximately 5 log10 CFU/mL to inoculate ham samples (∼75 samples: 3 independent replicates). Two molecularly characterized LAB strains—E. faecium J19 and L. sakei L15, previously classified as Generally Recognized as Safe (GRAS) through antimicrobial resistance profile, adhesion potential, and cytotoxicity to Caco-2 cells by the International Center for Food Industry Excellence with National Center for Biotechnology Information accession number KJ645709—were also reactivated and cultured to a target concentration of approximately 7 log10 CFU/mL for treatment applications. After ham slices were surface-inoculated with the L. monocytogenes cocktail by dipping, treatments were immediately applied by spraying. The treated slices were then individually vacuum packaged. All ham samples that contained sodium diacetate in their commercial formulation were treated as follows: control (L. monocytogenes + sterile de Mann Rogosa Sharpe broth), Tr1 (L. monocytogenes + J19), and Tr2 (L. monocytogenes + L15). Samples were vacuum sealed, stored at 4°C, and analyzed for L. monocytogenes counts on days 1, 3, 7, 14, and 21 using Modified Oxford Agar and the spread plate method. Colonies from duplicate plates were enumerated, converted to CFU/cm2, averaged, and log10-transformed. Statistical analysis was conducted in R (v4.3.2) using the base stats package; a 1-way analysis of variance (lm() and anova() functions) assessed treatment effects, and Tukey’s honestly significant difference post hoc test identified significant differences among means (P ≤ 0.05 and P ≤ 0.01).
Results: Figure 1 and Table 1 present L. monocytogenes counts (log10 CFU/cm2) on deli ham slices inoculated with 5 log10 CFU/mL of L. monocytogenes and treated with probiotic cultures J19 or L15 (7 log10 CFU/mL) stored at 4°C for 21 d. On day 1, the control showed 4.27 ± 0.16 log10 CFU/cm2, whereas J19 and L15 achieved reductions of 0.69 ± 0.08 and 0.48 ± 0.16 log10, respectively. By day 3, J19 maintained a decrease of 0.65 ± 0.15 log10, with L15 slightly lower at 0.37 ± 0.21 log10. On day 7, J19 reached a 0.96 ± 0.28 log10 (90%) reduction, whereas L15 achieved 0.52 ± 0.05 log10. By day 14, both treatments exhibited greater efficacy, with J19 reducing L. monocytogenes by 2.03 ± 0.36 log10 (99.0%) and L15 by 1.64 ± 0.11 log10 (97.71%). After 21 d, J19 achieved a 3.25 ± 0.33 log10 reduction (99.94%), outperforming L15 at 3.03 ± 0.01 log10 (99.9%). From day 7 onward, the control (sodium diacetate–treated ham) consistently showed higher L. monocytogenes levels than the J19 treatment, with a difference of nearly 1 log. Both probiotic strains significantly reduced pathogen levels over time, with J19 demonstrating superior antilisterial activity. Treatment Tr1 consistently achieved greater reductions at all time points, exhibiting significantly (P < 0.01) lower counts than both the control and Tr2 on days 1, 3, and 7. From day 14 onward, both probiotic treatments significantly surpassed the control (P < 0.001), with no statistical differences between Tr1 and Tr2. These findings underscore the potent antilisterial effect of probiotic treatments, especially Tr1, under simulated refrigerated storage conditions.
Conclusion: In summary, L. monocytogenes can grow substantially under favorable conditions, underscoring the need for effective control strategies, such as antimicrobial growth inhibitors like sodium diacetate, as mandated by US Department of Agriculture Food Safety and Inspection Service guidelines. Although sodium diacetate restricts growth to around a 2-log increase, the National Advisory Committee on Microbiological Criteria for Foods advises a more conservative limit, recommending that growth not exceed 1 log. Both sodium diacetate and J19 complied with these thresholds; however, J19 provided more potent inhibition and aligns with clean-label trends because of its GRAS status as a lactic acid bacterium. Given its enhanced efficacy and probiotic nature, J19 presents a safer and natural antimicrobial intervention for controlling L. monocytogenes in RTE meats.
The figure displays L. monocytogenes counts (log10 CFU/cm2) over time (days 1, 3, 7, 14, and 21) for 3 treatment groups: Control (blue), Treatment 1 (pink), and Treatment 2 (green). Each boxplot illustrates the distribution of log10 CFU/cm2 values for a treatment at each time point, with individual data points representing 3 biological replicates (colored by replicate: blue = Rep 1, red = Rep 2, green = Rep 3). The mean log10 CFU/mL values are shown above each group of boxplots. Different letters (a, b, c) above the boxes denote statistically significant differences among treatments at each time point based on post how analysis (P < 0.05), with overall significance evaluated by 1-way ANOVA (P-values displayed at the bottom of each panel).
Listeria monocytogenes counts in this table show the mean log10 CFU/mL, standard deviation, and log10 reduction for Control, Treatment 1 (J19), and Treatment 2 (L15) across days 1 to 21.
| DAY 1 | |||
|---|---|---|---|
| Treatment | Mean | Standard deviation | Log10 reduction |
| Control | 4.27 | 0.16 | N/Aa |
| T1 (J19) | 3.58 | 0.08 | 0.69 |
| T2 (L15) | 3.79 | 0.15 | 0.48 |
| DAY 3 | |||
| Treatment | Mean | Standard deviation | Log10 reduction |
| Control | 4.64 | 0.34 | N/Aa |
| T1 (J19) | 3.99 | 0.15 | 0.65 |
| T2 (L15) | 4.27 | 0.21 | 0.37 |
| DAY 7 | |||
| Treatment | Mean | Standard deviation | Log10 reduction |
| Control | 5.07 | 0.18 | N/Aa |
| T1 (J19) | 4.11 | 0.28 | 0.96b |
| T2 (L15) | 4.55 | 0.05 | 0.52 |
| DAY 14 | |||
| Treatment | Mean | Standard deviation | Log10 reduction |
| Control | 6.52 | 0.53 | N/Aa |
| T1 (J19) | 4.49 | 0.36 | 2.03d |
| T2 (L15) | 4.88 | 0.11 | 1.64c |
| DAY 21 | |||
| Treatment | Mean | Standard deviation | Log10 reduction |
| Control | 7.34 | 0.39 | N/Aa |
| T1 (J19) | 4.09 | 0.33 | 3.25f |
| T2 (L15) | 4.31 | 0.01 | 3.03e |
N/A = Not applicable.
Indicates a 1 log10 reduction, meaning a 90% decrease in bacteria.
Indicates a 1.64 log10 reduction, meaning a 97.71% decrease in bacteria.
Indicates a 2 log10 reduction, meaning a 99% decrease in bacteria.
Indicates a 3.25 log10 reduction, meaning a 99.94% decrease in bacteria.
Indicates a 3 log10 reduction, meaning a 99.99% decrease in bacteria.
Funding Source: International Center for Food Excellence Industry (ICFIE).
Keywords: probiotics, Listeria monocytogenes, deli meats.
139 Incorporation of Postbiotics and Aerated Water During Chilling Reduces Salmonella Contamination on Chicken Skin
Praveen Kosuri* and Mary Anne Amalaradjou, Department of Animal Science, University of Connecticut, Storrs, CT 06269, USA *praveen.kosuri@uconn.edu
Introduction/Objectives: Poultry meat is a leading source of salmonellosis in the United States, accounting for approximately 29% of all outbreaks. During chicken processing, carcass chilling is a critical step in which Salmonella cross-contamination can occur. Aerated water (AW) generated by nanobubble technology offers a promising solution, using fine oxygen bubbles to inactivate bacteria through oxidative stress. Postbiotics or probiotic metabolites—rich in bioactive compounds, such as peptides, organic acids, fatty acids, and antimicrobial peptides—may help control Salmonella at this stage. Therefore, we investigated the application of postbiotics prepared in AW to control Salmonella during carcass chilling. We hypothesize that incorporating postbiotics and AW during chilling will reduce Salmonella enteritidis (SE) contamination on chicken skin and minimize subsequent survival during refrigerated storage.
Materials and Methods: Probiotics (Lactobacillus rhamnosus NRRL-B-442 [LR] and Lactobacillus paracasei DUP-13076 [LP]) were cultured individually in de Mann Rogosa Sharpe broth (MRS) for 18 to 20 h at 37°C. The overnight cultures were centrifuged at 3600 × g for 15 min. This was followed by filtration through a 0.22-mm Millipore filter to generate cell-free supernatants or postbiotics. The postbiotics were then diluted in AW with a dissolved oxygen concentration of 30 mg/dl to generate the desired postbiotic concentration. SE isolates 12, 21, 28, 31, and 90 were individually cultured in tryptic soy broth for 18 to 20 h at 37°C. Overnight culture and individual SE cultures were washed twice with sterile phosphate-buffered saline (PBS). The pellet was then resuspended in sterile PBS. Equal volumes from individual SE isolates were mixed to make the SE cocktail. Chicken skin samples (1 in 2 each; n = 360) were spot-inoculated with a 5-isolate SE cocktail with approximately 4 log CFU/in2 and dried for 30 min. Skin samples inoculated with and without SE act as positive and negative controls. Then, the samples were randomly assigned to 1 of 6 treatments (tap water [TW], AW [O2: 30 mg/dL], MRS control [40% v/v], peracetic acid [PAA; 0.05%], and postbiotics from LR [LRP; 40%v/v] and LP [LPP; 40% v/v]). PAA was used as an industry control. Samples were immersed in treatment solutions held at 4°C for 5 or 10 min to simulate chilling. Following the dip treatments, surviving SE populations in the wash water were enumerated. Surviving SE populations on the chicken skin samples were determined on day 0 and following refrigerated storage on days 1, 3, 5, and 7. The experiments followed a completely randomized design, with 6 samples in each treatment group per sampling time point. Two independent trials were performed, and data were analyzed using R with significance set at P value less than or equal to 0.05. Statistical significance between treatments at each sampling time point was assessed using 1-way analysis of variance followed by Tukey’s honestly significant difference to compare differences in surviving SE populations.
Results: The incorporation of postbiotics (LPP and LRP) during the chilling process significantly reduced SE populations on chicken skin compared with other treatments (P ≤ 0.05). Following a 10-min wash, the LPP and LRP groups exhibited a significant reduction of approximately 1.5 log CFU/in2 in SE load, outperforming PAA, which achieved only an approximate 1.0-log reduction. Additionally, SE counts in the spent chilling water were below detection limits (<1 log CFU) in postbiotic-treated groups, whereas no SE was recovered (negative by enrichment) in the PAA-treated chilling water. These results indicate that, although PAA was effective in eliminating SE from the chilling water, it was less effective in reducing bacterial loads on chicken skin, highlighting a key advantage of postbiotic treatments. Beyond the initial reduction, postbiotics demonstrated a sustained antimicrobial effect, with SE levels on chicken skin dropping below detection limits (<1 log CFU) by day 1 of storage and being undetectable (negative by enrichment) by day 5. In contrast, although PAA and AW initially achieved an approximate 2.0-log reduction in SE counts, by day 7 of storage, SE populations rebounded to approximately 4.0 log CFU, similar to that in the control and MRS-treated groups. This suggests that, although chemical treatments such as PAA provide an immediate reduction, their antimicrobial effects were not sustained on the chicken skin samples. These findings are further supported by our ongoing research demonstrating a greater than 5-log reduction in SE populations on shell eggs following wash treatments with LPP and LRP. Additionally, our previously published in vitro data show that co-culturing SE in the presence of LRP and LPP significantly attenuates SE virulence, including impaired flagella expression and reduced adhesion. Overall, our findings demonstrate the efficacy of LRP and LPP in controlling SE on chicken skin during processing and storage, offering a promising approach to enhancing poultry meat safety.
Conclusion: This study highlights the limitations of conventional chemical sanitizers, which provide only partial microbial control. It also emphasizes the potential of postbiotics from LR and LP in AW during chilling. Thus, this approach offers a sustainable, long-lasting intervention for enhancing poultry meat safety and ensuring safer poultry products. Furthermore, by preventing pathogen resurgence during storage, postbiotics represent a promising alternative or complement to existing decontamination strategies in the poultry industry. To evaluate the practical applicability of this intervention, we will conduct colorimetric analysis to confirm that postbiotic treatment does not alter chicken skin color and thiobarbituric acid reactive substances assay analysis to assess any impact on lipid oxidation. However, further research is needed to explore industrial-scale application, cost-effectiveness, and potential synergy with other antimicrobial treatments.
Keywords: Salmonella, postbiotics, chicken skin, chilling, refrigerated storage.
140 Biomapping and Salmonella serovar Complexity in Rinsate Samples in a Commercial Broiler Processing Facility Operating With High and Low Antimicrobial Intervention Levels
Daniela R. Chavez-Velado*, Isaac Romero, and Marcos X. Sanchez-Plata, International Center for Food Industry Excellence, Texas Tech University, Lubbock, TX 79409, USA *daniela.r.chavez@ttu.edu
Introduction/Objectives: In the most recent 5 y of outbreak data (2016–2020), 17.3% of Salmonella illnesses were attributed to chicken consumption. Between 1998 and 2020, there were 199 foodborne Salmonella outbreaks associated to chicken as a single contaminated component as well as 11 outbreaks linked to filled chicken products, and chicken was identified as the source of contamination. Chicken products were associated in 84.8% (178/210) of the outbreaks. Serotype information was obtained for 93.3% (196/210) of the outbreaks. These 196 outbreaks contained 32 subtypes of concern. Seventeen serotypes were solely associated to chicken products. Poultry processors implement multiple hurdle approaches to reduce pathogen contamination during processing that include both nonchemical and chemical interventions with variations in chemical concentrations. The objective of this study was to map the spatial distribution of Salmonella serovars in rinsate samples from a commercial broiler processing facility operating with high and low antimicrobial intervention levels.
Materials and Methods: The normal chemical processing conditions include high levels of chemical interventions consisting of peracetic acid (PAA), PAA + sodium hydroxide and sodium hypochlorite at various steps with a range of 100 to 400 ppm of PAA, and up to 50 ppm of total chlorine. For low chemical interventions, just water or reduced targeted chemical levels were applied, eliminating the chemical application in several locations except where needed as per validates Hazard Analysis Critical Control Point; the levels included 0 to 30 ppm of PAA and up to 5 ppm of total chlorine. Samples were collected at 8 different locations throughout the process for both normal chemical and reduce chemical interventions, including: live receiving, post–neck breaker, postcropper, postevisceration, inside-outside bird wash #1 (IOBW1), inside-outside bird wash #2 (IOBW2), prechill, and wings. Whole genome sequencing was performed to obtain the serotype information of the positive samples.
Results: For this plant, when using normal chemical levels, less serovar variability was found compared with reduced chemical levels. For normal chemical processing, serovar Kentucky was the most prevalent over the 4 serovar founds (33/42), the processing steps with the most serovar Kentucky found were rehang (10), postcropper (7), postevisceration (8), IOBW1 (1), IOBW2 (3), prechill (2), and wings (2); serovar Schwarzengrund was found at rehang (3) and wings (2); only post–neck breaker samples contained serovar Agona (2); and only IOBW2 contained serovar Alachua (2)—only at rehang, IOBW2, and wings were more than 1 serovar found. For reduced chemical, all processing steps contained more than 1 serovar except for wings samples; serovar Braenderup was the most prevalent (20), followed by Schwarzengrund (18), Kentucky (13), Alachua (7), and Typhimurium (2)—prechill was the only step in which serovar Typhimurium was found.
Conclusion: As part of its strategic and performance planning process for fiscal years 2022 to 2026, the Food Safety and Inspection Service (FSIS) introduced a new key performance indicator aimed at lowering the proportion of chicken samples containing Salmonella serotypes often associated with human illness. FSIS has identified the serovars Enteritidis, Typhimurium, and Infantis as key performance indicators or goals, emphasizing the importance of monitoring them; FSIS also proposed Enteritidis, Typhimurium, and I 4, [5], 12 :i: as serotypes of public health significance, marking poultry products containing more than 10 CFU/mL of Salmonella with any of the mentioned serotypes as adulterated products. Information about serotyping will be very important for food processors who need to address regulations and assess the impact of the interventions used in the plants.
Funding Source: International Center for Food Industry Excellence, Texas Tech University, Lubbock, TX 79409.
Keywords: biomapping, serotyping, poultry, antimicrobial interventions.
141 Characterization of Spoilage-Associated Bacteria in Aerobically Packaged Ground Beef
Chloe Calhoun*, Ifigenia Geornaras, and Peipei Zhang, Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA *chloe.calhoun@colostate.edu
Introduction/Objectives: The microbial quality and composition of ground beef from retail stores may vary because of differences in hygiene practices during processing and variations in packaging condition and storage temperature during distribution and retail display. Additionally, ground beef varies with its fat content, which may be a factor contributing to microbial quality and growth. Ground beef is generally packaged in trays overwrapped with air-permeable film and then placed in a “mother bag” with a modified atmosphere; until such time, they are placed in a retail display case. Pseudomonas is generally regarded as the major microorganism that can cause spoilage of aerobically packaged (AP) meat. However, with the incorporation of modified atmosphere, other bacteria, such as lactic acid bacteria (LAB), may be a significant bacterial group causing spoilage issues of ground beef. This study aimed to characterize the spoilage-associated microbiota in AP ground beef.
Materials and Methods: Ground beef that was aerobically packaged was purchased from 6 retail stores in Fort Collins, Colorado. The 6 stores sold ground beef with fat contents ranging from 4% to 27%. The ground beef in the 6 stores was produced/ground in 6 establishments. One ground beef package was purchased for each fat content available at each time of purchase, with 36 samples collected in total. The packages from the different stores were labeled with sell-by (store A), sell-through (C and F), use/freeze-by (B and E), or sell/freeze-by (D) dates. According to communications with beef producers and retail stores, these terminologies have the same meaning—that is, the products are of the best quality if consumed by the date on the label. The purchased packages of ground beef were stored in a display case set at 3°C until 4 d past the date on the product label and were then analyzed for bacterial population levels. A 100-g sample was placed in a Whirl-Pak filter bag and mixed with 300 mL of 0.1% (w/v) peptone water. The samples were then mechanically pummeled (2 min), and the homogenate was serially diluted. Appropriate dilutions were plated on tryptic soy agar (TSA) for enumeration of total aerobic bacteria, on Pseudomonas-selective agar (CFC) for Pseudomonas, and on Violet Red Bile Glucose Agar (VRBGA) for Enterobacteriaceae. TSA plates were incubated at 25°C for 72 h. CFC plates were also incubated at 25°C but for 48 h. VRBGA plates were incubated at 35°C for 24 h. Two replicates for each type of ground beef product from each store were collected, with each replicate collected on different days. Statistical analysis was conducted using R v4.3.1. Analysis of variance (ANOVA) was conducted to compare the total bacterial load in ground beef between stores and with different fat contents. Correlation tests were performed to examine whether the proportion of Pseudomonas or Enterobacteriaceae among total aerobic bacteria was correlated with the total aerobic bacteria and fat content. The proportions of Pseudomonas and Enterobacteriaceae were respectively compared among the different retail stores via ANOVA. The difference or correlation was regarded as significant if P value was less than 0.05.
Results: The total aerobic bacteria ranged between 5.4 and 8.6 log CFU/g with a median value of 6.9 log CFU/g and did not vary significantly (P > 0.05) among retail stores. No significant difference (P > 0.05) in total aerobic bacteria was found in ground beef with different fat contents. The percentage of Pseudomonas and Enterobacteriaceae among total aerobic bacteria ranged between 0.024 and 100% (3.1–8.5 log CFU/g) and 0.00007 and 37.9% (1.6–7.4 log CFU/g) with a median value of 21.5% (6.0 log CFU/g) and 0.5% (4.8 log CFU/g), respectively. No correlation was found between the proportions and total aerobic bacteria or fat content. No significant differences (P > 0.05) in the proportions were found among the retail stores.
Conclusion: This study investigated the bacterial load in ground beef 4 d past the labeled date to characterize the bacteria associated with spoilage. The results did not show a significant variation among the 6 retail stores included. Fat content did not seem to be a factor that can cause the difference in microbial quality in ground beef. Pseudomonas generally predominated in AP ground beef collected in this study, indicating a significant role played by Pseudomonas in causing beef spoilage. However, it was not always the case, as we found a noticeable percentage (12/36 samples) of ground beef with less than 5% of Pseudomonas in the total bacteria, indicating other bacterial groups, such as LAB, may play a relevant role in spoilage. Our future studies will characterize the detailed bacterial composition in ground beef at the strain level, the information of which is often missing in published literature.
Funding Source: Funded by Dr. Peipei Zhang.
Keywords: spoilage, microbiota, ground beef, packaging.
142 Bacteriophage Intervention Against Salmonella on Food: From Laboratory Bench to Industrial Implementation
Rodrigo Portillo1*, Jeroen A. Wouters2, Rik J. H. Slijkhuis2, Lotte Lubbermann2, Kerlijn Vogel2, and Joël T. van Mierlo2, 1Phageguard, WI, USA, 2Phageguard, Wageningen, The Netherlands *r.portillo@phageguard.com
Introduction/Objectives: The aim of this study was to assess the effectiveness of the commercially available anti-Salmonella bacteriophage product, Phageguard S, against Salmonella in laboratory and industrial settings.
Materials and Methods: The host-range spectrum of anti-Salmonella bacteriophage product, PhageguardS, was tested on over 200 Salmonella strains at a concentration of 4.5 log CFU/cm2 from a wide range of serovars using the traditional spot plate method using a concentration of 2E+07 PFU/cm2. Furthermore, the efficacy of the bacteriophage product was tested on various refrigerated food matrices (chicken, turkey, pork, beef) artificially contaminated with relevant Salmonella serovar strains using 3 samples per treatment with 3 repetitions. Salmonella reductions were measured by retrieval and plating on selective XLD agar. Salmonella incidence data were also gathered at a ground turkey producer after implementation of Phageguard S during a 30-wk period collecting 23 samples per week to assess the efficacy of the bacteriophage product. The phage concentration used in the turkey producer was 1.00E+8 PFU/g. The statistical analysis used for the plant trial was chi-squared test.
Results: The host-range spectrum of the anti-Salmonella bacteriophage product is very broad, as all major Salmonella serotypes were effectively lysed on plate. When comparing the host range on plate to the efficacy on the tested food matrices, we observed a similar broad effectivity and significant Salmonella reductions of more than 1 log10 (P < 0.05) using a 2-way analysis of variance. The reductions were dependent on the food matrix and phage concentration applied. Most importantly, the Salmonella incidence in a commercial ground turkey operation dropped from an average 30% Salmonella incidence before implementing the bacteriophage intervention to approximately 10% after implementation of the bacteriophage intervention, representing a statistical significance difference (P < 0.05).
Conclusion: The data gathered in this study show that the anti-Salmonella bacteriophage product can effectively reduce Salmonella on food, thereby decreasing the risk of salmonellosis and increasing public health.
Funding Source: Phageguard.
Keywords: anti-Salmonella bacteriophage, Phageguard S, Salmonella.
143 Pseudomonas in Meat Processing Environments: A Review
Chloe Calhoun*, Ifigenia Geornaras, and Peipei Zhang, Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA *chloe.calhoun@colostate.edu
Introduction/Objectives: Pseudomonas is often predominant and/or prevalent among the residential microbiota in food processing facilities, which can potentially enhance the survival of other bacteria by forming biofilms, including foodborne pathogens, in the relevant environments. This review aims to discuss our current understanding of this bacterial genus in meat processing environments. With a focus on processing plants that produce raw red meat products, we specifically cover topics including Pseudomonas species in meat products and meat processing environments, the biofilm-forming abilities of Pseudomonas, the factors affecting biofilm formation by Pseudomonas, and the potential effect of Pseudomonas biofilms on the survival of foodborne pathogens.
Materials and Methods: For each topic included in this review, we searched for the relevant published literature in Web of Science. The phrases used for searching included “Pseudomonas,” “Pseudomonas in meat products,” “Pseudomonas in meat plants,” “Pseudomonas in meat production environments,” “Pseudomonas in meat processing plants,” and “Pseudomonas, biofilm.” Due to the limitation of the search engine in determining relevance, > 500 publications often showed up in the search results for each phrase we used. Therefore, we either reviewed the first 500 most relevant articles or all the articles if the total number was < 500, to manually select those related to our topics.
Results: Numerous studies have reported the overall predominant status of Pseudomonas in aerobically packaged meat products and in meat processing environments as a genus. P. fragi has been reported as the most predominant species among Pseudomonas in meat products with aerobic packaging or with modified atmosphere packaging (MAP) containing ≥ 50% O2. P. fluorescens has been the second most often detected Pseudomonas species among these studies, and P. lundensis, P. putida, P. psychrophila, and P. weihenstephanensis have been occasionally reported. P. fragi and P. fluorescens, the top 2 most often detected Pseudomonas in meat products, are frequently reported in meat processing plants as well, indicating that meat production environments are a potential source of Pseudomonas that contaminates meat products. In contrast to the studies on meat products, which have pointed to a limited number of species as the predominant ones among Pseudomonas, the species of Pseudomonas found in meat plants showed relatively greater diversity and inconsistency across studies. Studies investigating biofilm development by Pseudomonas originating from raw meat products or raw meat processing facilities are limited. Therefore, we extended the scope of our literature search to include available publications investigating Pseudomonas from products and processing environments of both raw red meat and many other food types, such as chicken, seafood, milk, dairy products, and vegetables, which may offer insights into the behavior of Pseudomonas in meat processing environments. Pseudomonas strains have often been reported to have higher bacterial numbers and/or greater extracellular polymeric substance (EPS) production than many other bacterial species, including both spoilage-associated microorganisms and pathogens, in biofilms. This aligns well with the predominant status of Pseudomonas in food processing facilities, as previously reviewed in published literature. The studies indicate that temperature and other factors, such as the materials on which biofilms are developed, and incubation time (i.e., stage of biofilm), can all influence the biomass of Pseudomonas biofilms. Additionally, the use of different strains in these studies can also be a factor for the variation in biofilm formation. Numerous studies have shown that the resistance to sanitizers by pathogenic bacteria, including Salmonella and Listeria monocytogenes, in biofilms has been increased in the presence of Pseudomonas. A limited number of studies also reported that pre-colonization by Pseudomonas on a surface can enhance the attachment by other bacterial species, such as E. coli and L. monocytogenes.
Conclusion: Pseudomonas may show similar behavior in environments that process meat and other food types. However, we should recognize that more studies of Pseudomonas in meat production are warranted. Considering the large diversity of Pseudomonas between and within meat processing plants, more species/strains should be included in studies to improve our understanding of the ecology of Pseudomonas in meat processing environments. Furthermore, most studies included in our discussion used laboratory media or food matrices other than meat to grow biofilms. This might not accurately represent the nutrients that bacteria are exposed to in meat processing facilities, where surfaces are often contaminated with, or have previously come into contact with, meat debris or fat. As such, growth media simulating meat residues should be used. Also, Pseudomonas biofilms have been mainly studied under static conditions with constant temperature and once-added nutrients, which does not reflect the 24-h production cycle in meat processing facilities.
Funding Source: Funded by Dr. Peipei Zhang.
Keywords: Pseudomonas, biofilm, environment, pathogens, contamination.
144 Variation in Microbial Indicators on Foreshank, Hindshank, Chuck, and Heel Beef Trimmings Before and After Treatment with Hydrochloric and Citric Acids as a Mitigation Strategy
Andres Martinez*, Ariana Roldan, Rafael Martinez, Mindy Brashears, and Mark Miller, International Center for Food Industry Excellence, Texas Tech University, Lubbock, TX 79409, USA *mar35142@ttu.edu
Introduction/Objectives: This in-plant study was conducted to determine the impact of the source of beef trimmings, foreshank, hindshank, chuck, and heel, on the antimicrobial efficacy of hydrochloric acid and citric acid immersion and an ozonated water (BioSafe) spray.
Materials and Methods: EZ-Reach™ 25 mL sponge buffered peptone water (BPW) swabs, which did not contain neutralizing agents, were used to collect 100 cm2 area samples before and after hydrochloric acid and citric acid immersion and ozonated water intervention application to 4 types of beef trim: foreshank, hindshank, chuck, and heel. All samples were collected from the same commercial beef processing facility across all repetitions to ensure consistency in trim sourcing and processing conditions. The beef trimmings were subjected to acid immersion (pH 0.5–2.0, 72–76°F) for approximately 12 s, immediately followed by ozonated water spray (1.5–2.3 ppm, 50–75°F). Samples were collected immediately following the ozonated water application using EZ-Reach™ BPW swabs. A total of 4 repetitions were conducted, with 40 samples collected in each (20 before and 20 after), consisting of 5 samples per subprimal (foreshank, hindshank, chuck, and heel) per repetition. Samples were taken before and after hydrochloric acid and citric acid, and ozonated water (BioSafe) spray treatments. Microbial analysis consisted of total aerobic plate counts (APC), Enterobacteriaceae (EB), and generic E. coli (EC) using the Tempo® system. Counts lower than <1 in CFU/cm2 were added plus 1 CFU to avoid negative LogCFU representation. Statistical analysis was performed using mean log CFU/cm2 values to determine differences in microbial reductions among the different trimming types before and after treatment. One-way ANOVA was used to evaluate differences between trim types at each time point (before and after), followed by Tukey’s HSD for multiple comparisons. Analyses were conducted in RStudio Version 4.4.3, with significance set at P < 0.05.
Results: Aerobic plate counts were significantly different (P = 1.86e-09 and P = 2.19e-04) among beef trimming types both before and after the intervention. Before intervention, foreshank exhibited the highest APC levels, log 3.33 CFU/cm2, followed by chuck, hindshank, and heel of 2.68, 2.04, and 1.30 log CFU/cm2. After the intervention, APCs were significantly reduced across all 4 types of trimmings. However, foreshank and chuck retained higher microbial loads (2.05 and 1.98 log CFU/cm2, respectively) compared to heel and hindshank (1.19 and 1.32 log CFU/cm2), with P = 2.19e-04. Enterobacteriaceae counts also exhibited significant differences among trimming types. Before interventions, the foreshank had the highest EB of 1.56 log CFU/cm2, followed by the chuck, hindshank, and heel of 1.19, 0.80, and 0.52 log CFU/cm2, respectively, with (P = 1.42e-06). After the intervention treatment, Enterobacteriaceae counts in all trimmings exhibited significant reductions, but no significant differences among values (P = 0.091). Generic E. coli counts were significantly different (P = 2.73e-04) among beef trim types before the intervention. Foreshank exhibited the highest E. coli counts at log 1.07 log CFU/cm2, followed by chuck, hindshank, and heel of 0.64, 0.48, and 0.48 log CFU/cm2. After interventions, E. coli counts in all trimmings showed reductions, but no significant differences among types (P = 0.101).
Conclusion: This study demonstrated the antimicrobial efficacy of hydrochloric acid, citric acid, and ozonated water as a mitigation strategy for beef trimmings. However, the efficacy varied by beef trim type and microbial indicator. This is an important consideration when conducting in-plant validation studies. Heel and hindshank trimmings exhibited the lowest microbial loads before and after intervention, and thus, it was more difficult to measure significant statistical differences. Foreshank and chuck trimmings had the highest initial contamination levels and exhibited greater reductions after treatment. While no significant differences were observed among trim types for Enterobacteriaceae and E. coli after the interventions, aerobic counts remained higher in foreshank and chuck compared with heel and hindshank. These results highlight the importance of considering trim source and focusing efforts on higher-risk trims to measure significant reductions.
Funding Source: International Center for Food Industry Excellence.
Keywords: hydrochloric, citric, ozonated water, intervention.
145 In-Plant Study Determining the Efficacy of Multiple Interventions to Demonstrate Overall Reduction of Microbial Load
Michael Starnes*, Mindy Brashears, Mark Miller, Andres Martinez, Ariana Roldan, and Rafael Martinez, Texas Tech University, Lubbock, TX 79409, USA *micstarn@ttu.edu
Introduction/Objectives: Surrogate strains of E. coli that are nonpathogenic and mimic the behavior of pathogenic E. coli were developed by researchers to test the effectiveness of in-plant treatments in beef production facilities. While treatments can be tested for their efficacy within a laboratory setting, testing within the actual processing facility gives a much more accurate representation of overall cleanliness. Every possible condition within a processing facility cannot be accurately replicated within a laboratory, so it is critical to verify treatment effectiveness within the processing facility that will be utilizing the intervention. The strains created and utilized for this study are ATCC E. coli strains BAA 1427,1428,1429,1430, and 1431. Currently, no industry standard exists for measuring 5-log reductions in raw products, and this project looked to validate the treatments applied to beef carcasses that reduce microbial load and create a standard operating procedure for such testing and validation.
Materials and Methods: American Type Culture Collection (ATCC) nonpathogenic surrogate strains of E. coli (BAA 1427,1428,1429,1430,1431) were used in this study to mimic the behavior of Salmonella and E. coli. Initial propagation of individual ATCC surrogate strains was conducted according to ATCC instructions to complete a library of 1 ml cryogenic vials for each strain and stored at −80°C as a member of the Texas Tech University Isolate Library. A cocktail was then created and confirmed negative for Salmonella, E. coli 0157:H7, and Listeria monocytogenes using the BAX system analysis. Vials were then transported to the production facility and subsequently combined with buffered peptone water to create a 1:100 dilution inside a spray bottle. Day One procedure: The surrogate cocktail was applied by spraying the cocktail onto the surface of the foreshank of the carcasses. On each sampling day, a total of 5 carcass sides were railed off after hide removal and before application of any intervention for the application of the surrogate. Carcasses were clearly marked with a tag and followed throughout the process. The surrogate cocktail was applied with the spray bottle to the foreshank. A total of 10 mL of cocktail was administered to each shank, as each spray was exactly 1 mL and applied 10 times. Carcasses will be allowed to rest for 20 min to allow for attachment. Samples were then taken post-attachment time. Carcasses were sent through interventions, and the 5 carcasses were resampled again and left in the cooler for chilling overnight. Day Two procedure: Carcasses were reinoculated and allowed to rest for 20 min to allow for attachment. Samples were then taken again post-inoculation, and carcasses were sent through treatments. Samples were taken after intervention, at the very end of the production line, before packaging for sale. Post collection, samples were plated on MacConkey agar with a thin overlay of TSA agar to ensure recovery of potentially stressed cells. All plates were incubated for 24 ±2 h at 37°C and subjected to manual plate counts the following day. Plate count estimates were averaged for duplicate plates and dilution before log10 transformation and reporting.
Results: In this study, 3 different repetitions were performed to determine the overall level of microbial load reduction demonstrated by various treatments performed within the production plant. Samples were collected after inoculation to determine the level of attachment to the foreshanks, and after treatment to determine the reduction. The average level of attachment on day one achieved for the 3 repetitions was 7.43 logs. Post intervention, the level of microbial load remaining was 1.67 log, resulting in an average 5.76 log reduction. It is important to note that the reduction levels for day one are estimates, as the plate counts were below the detection limit. In the graphs above, the estimates were denoted with an asterisk. Statistical analysis run on day 1 data shows a P value of 4.59e-12, indicating a clear statistical significance between the 2 sample groups on day one. The average level of attachment on day 2 achieved for the 3 repetitions was 7.54 logs. Post intervention, the level of microbial load remaining was 5.3 log, resulting in an average 2.24 log reduction. Statistical analysis run on day 2 data shows a P value of 7.79e-06, again indicating a clear statistical significance between the 2 sample groups on day 2. To summarize the reduction between the 3 repetitions and day one and day 2, an 8-log average reduction was demonstrated when combining all interventions performed by the plant.
Conclusion: Based on the findings in this study, an 8-log reduction from all combined interventions was achieved to prevent microbial growth and kill potential contaminants. The sampling showed a consistent level of microbial reduction, with day one treatment clearly showing a higher level of effectiveness than day 2. Day one treatment employed the use of 2 lactic acid washes, 2 hot water washes, and ozonated water. This multiple-hurdle approach on the hot carcasses consistently yielded a higher level of reduction. Treatments were more aggressive and potent than on day 2, in which all carcasses were cold as opposed to hot. All in all, the operational procedure replicated during each repetition yielded consistent results for a clear demonstration of intervention efficacy. This standard of operation is replicable industry-wide for antimicrobial treatment validation.
Funding Source: Texas Tech International Center for Food Industry Excellence.
Keywords: surrogate, validation, beef, intervention.
146 The Effects of Lactic Acid, Peracetic Acid, and Hypobromous Acid Application to Lamb Carcasses on Bacterial Contamination and Meat Quality
Lauren T. Vitanza, Kayla G. Scott, Ale E. Relling, Braden J. Campbell, Lyda G. Garcia, and Benjamin M. Bohrer*, The Ohio State University, Department of Animal Sciences, Columbus, OH 43210, USA *bohrer.13@osu.edu
Introduction/Objectives: Microbial contamination leads to food safety concerns that can have a significant impact on the stability of meat products during storage, leading to the early onset of spoilage in meat products and economic losses. In an attempt to limit the amount of microbial contamination of meat products, a variety of antimicrobial interventions are used in the meat processing industry to ensure food safety and meat quality. One such form of antimicrobial intervention is washing the surfaces of animal carcasses with antimicrobial solutions before chilling. The objective of this experiment was to compare antimicrobial interventions applied to lamb carcasses during slaughter. Specifically, 3 antimicrobial interventions (lactic acid [LA], peracetic acid [PAA], and hypobromous acid [HOBr]) were compared for log reductions of aerobic, E. coli, and total coliform bacteria as well as for their impact on meat quality traits.
Materials and Methods: Forty-seven crossbred lambs were harvested in accordance with the standard operating procedures of a federally inspected facility, which consisted of captive bolt stunning, exsanguination, hoof removal by hand, pelt removal in cradles with hand fisting, and evisceration. Carcasses were trimmed, rinsed with water, and an antimicrobial intervention was applied before entering a chilling cooler. Carcasses were randomly selected to have one of 3 antimicrobial interventions sprayed on the surface of carcasses (at levels aligning with manufacturer directions): 5% LA solution (Galacid Excel), 0.2% PAA solution (Microtox Ultra), or 0.02% HOBr solution (Bovibrom) (Zee Company LLC). The antimicrobial intervention solutions were sprayed on the surface of carcasses using an electrically controlled handheld pressure sprayer. Following the antimicrobial intervention, lamb carcasses were chilled for 48 h in a carcass cooler (ambient temperature of 4°C with physical space between each carcass during the chilling process to avoid cross-contamination). Microbial samples were obtained using hydrated sponges with 10 mL of neutralizing buffer. Three swab samples were collected for each carcass (swab A: immediately prior to carcass rinsing; swab B: immediately after application of antimicrobial treatments; swab C: 48 h postmortem). Swab samples were processed using 3M Petrifilm (3M Microbiology) aerobic plate count and E. coli/coliform plate count. Carcasses were ribbed between the 12th and 13th rib during the collection of swab C, where instrumental color (using a Minolta CM-700d) and pH were evaluated. Carcasses were fabricated at 48 h postmortem, and longissimus muscle (LM) chops and boneless shoulders were collected. Sensory attributes were evaluated for LM chops and ground lamb (from the shoulder primal) using a descriptive sensory panel. Color stability was evaluated for LM chops and ground lamb using a retail display (Turbo Air case with LED lighting), and daily measurements of visual and instrumental color were collected. Individual lamb served as the experimental unit for all data analyses. Data were analyzed using a randomized complete block design with antimicrobial treatment serving as the fixed effect, while harvest date (i.e., block) and harvest sequence served as random effects. An additional effect of time was used as the repeated measure for applicable parameters.
Results: Lamb carcasses treated with the LA and PAA had greater (P < 0.05) log reduction for total aerobic bacteria and E. coli bacteria immediately following treatment application (values between swab A and swab B) when compared with carcasses treated with the HOBr antimicrobial treatment. However, there were no treatment differences (P ≥ 0.53) for log reduction at 48 h postmortem following chilling (values between swab A and swab C). The application of each of the antimicrobial treatments tested in this study (LA, PAA, and HOBr) were effective against microbial contamination (>97.5% reduction percentage for total aerobic bacteria, >99.6% reduction percentage for E. coli bacteria, and >99.6% reduction for total coliform bacteria) at 48 h postmortem following chilling (values between swab A and swab C). There were no differences (P ≥ 0.12) among treatments for pH of the LM and instrumental color of the LM muscle and subcutaneous fat at 48 h postmortem. During the retail display period, there was a treatment effect (P < 0.01) for visual discoloration of LM samples. Carcasses treated with the PAA treatment had the fastest rate and greatest level of visual discoloration for LM samples, carcasses treated with the LA treatment had the slowest rate and lowest level of visual discoloration, and carcasses treated with the HOBr treatment were intermediate for rate and level of visual discoloration. Specifically, at the end of the retail display period, visual discoloration was 76% for the PAA treatment, 61% for the HOBr treatment, and 49% for the LA treatment. There were no differences (P ≥ 0.62) between treatments for the rate and level of visual discoloration for the ground samples. There were no differences (P ≥ 0.07) among treatments for sensory juiciness, tenderness, flavor intensity, flavor desirability, aroma intensity, and aroma desirability for LM samples. There were no differences (P ≥ 0.27) among treatments for sensory mouthfeel, flavor intensity, flavor desirability, aroma intensity, and aroma desirability for ground samples. Carcasses treated with PAA had a greater (P = 0.04) presence of grassy off-flavors in LM samples compared with other treatments, while ground samples from carcasses treated with LA had a greater (P = 0.02) presence of rancid off-flavors compared with other treatments. However, there were no other differences (P > 0.05) for off-flavors or off-aromas identified among treatments.
Conclusion: Overall, results from this study suggest that all 3 antimicrobial strategies can be effectively implemented as effective carcass-spray antimicrobials. While not quantified in this study, specific consideration should be provided for ease of application in each industry setting. Furthermore, these results suggest that carcass-spray antimicrobials may have subtle impacts on sensory parameters and color stability of retail cuts. These attributes should be addressed when changing carcass-spray protocols in the industrial setting.
Funding Source: Funding for this project was provided by the Ohio Sheep and Wool Program. Donation of antimicrobial agents was provided by Zee Company LLC.
Keywords: carcass spray, antimicrobial, intervention.
147 Estimation of the Prevalence of C. Perfringens in Raw and Ready-to-Eat Processed Meat Products in the United States
Dennis Seman* and Andy Milkowski, University of Wisconsin, Madison, WI 53706, USA *dlseman@hotmail.com
Introduction/Objectives: The Food Safety Inspection Service (FSIS) reported in 2001 that levels of presumptive C. perfringens were greater than 4-log CFU/g in a limited number of raw meat samples. This was a basis for the current 9CFR 318.17(a) (2) rule limiting permissible potential growth of C. perfringens during thermally processed product chilling (stabilization) to <1 log CFU/g. Even though many studies have been conducted to elucidate factors that influence the potential growth of C. perfringens during stabilization, these studies have not attempted to show the actual prevalence of the organism in commercially produced ready-to-eat (RTE) products. The objectives of this study were to 1) determine the prevalence of vegetative C. perfringens in meat products (both raw and RTE) and 2) calculate the probability of positive samples to provide additional information to elucidate the risk of C. perfringens as a likely pathogen in RTE meat from USDA-inspected plants.
Materials and Methods: Data for this analysis were donated anonymously by 3 large companies (A, B, and C) for a total of 7,106 individual observations. Data from raw (uncooked) meat products were obtained from Companies A (undisclosed raw items) and C (poultry raw materials and bacon). All RTE samples from Companies B and C were from process deviations. Company A provided data from both non-deviation samples and cooling deviation samples. The limit of detection (LOD) for company data was 1 log CFU/g. The distribution of vegetative C. perfringens counts was placed into enumeration categories: 0–1 log CFU/g, 1–2 log CFU/g, 2–3 log CFU/g, 3–4 log CFU/g, 4–5 log CFU/g, and 5–6 log CFU/g. The probability of having a positive count within each enumeration category was calculated by summing the counts (r) and dividing by the total number of samples (n): r/n. The upper 95% confidence boundary for a binomial occurrence rate can also be calculated using r = 0 for a specific enumeration category that contains 0 positives and n = total number of samples, with the desired confidence level set at 0.95 using the Clopper-Pearson exact binomial interval.
Results: Two positive counts of C. perfringens vegetative cells obtained from raw, non-heat-treated, or not fully cooked products exceeded 4 log CFU/g from a total of 2,025 samples (Table 1). This data included products described as raw by the manufacturer (Company A) (1,046 samples), raw poultry from various plants (Company C) (809 samples), and bacon (not heated to lethality during processing) (Company C) (170 samples). The majority (1,756) were less than the LOD (limit of detection) (86.72%). The probability of positive counts was 0.1235, 0.0116, 0.0043, and 0.0036 in the 1–2, 2–3, 3–4, and 4–5 log CFU/g enumeration categories, respectively. The upper probability boundary for a 95% confidence interval for counts exceeding 5 log CFU/g was estimated to be 0.0018. On average, one would have to take 549 samples to obtain a raw sample with over 5 log CFU/g. No samples from cooked and properly chilled RTE meat products, i.e., not process deviations (Table 2), exceeded 2 log CFU/g out of a total of 3,141 samples from Company A 99.75% of samples were less than the LOD, while the probabilities were 0.0025 and 0.0012 (upper 95% CI boundary) for the 1–2 and 2–3 log CFU/g categories, respectively. One would need to take 852 samples on average to find a count greater than 2 log CFU/g. There were 2,886 samples labeled as process deviations. In these samples, 99.86% were less than the LOD, while the probability was 0.0014 and 0.0013 for 1–2 and 2–3 log CFU/g categories (Table 3). One would have to take 783 samples on average to obtain the first sample with >1 log CFU/g.
Conclusion: This study shows what many have suspected, that the true prevalence of C. perfringens vegetative cells in post-lethality cooked meat products is very low. The probability of having counts in both non-deviation and deviation samples ranging from 2 to 3 log CFU/g was <0.0012. This is 2 magnitudes below the threshold prescribed by USDA; the consequence of this is that the likelihood of having a foodborne illness caused by C. perfringens may be a hazard not likely to occur. This has also been shown in the FSIS C. perfringens risk assessment. · The more likely causes of C. perfringens intoxications are mishandling after the product leaves the USDA-inspected plants during reheating, hot and cold holding, and consumer handling.
Distribution of vegetative Clostridium peffringens counts by enumeration category (log CFU/g) in raw samples from several sources
| Enumeration Categories | ||||||||
|---|---|---|---|---|---|---|---|---|
| Source | Total | LOD, CFY/g | 0–1 Log | 1–2 Log | 2–3 Log | 3–4 Log | 4–5 Log | 5–6 Log |
| Company A | 1046 | 10 | 856 | 181 | 6 | 3 | 0 | 0 |
| Compay C (raw poultry) | 809 | 10 | 735 | 68 | 6 | 0 | 0 | 0 |
| Compay C (bacon) | 170 | 10 | 165 | 1 | 2 | 0 | 2 | 0 |
| Totals | 2025 | 0 | 1756 | 250 | 14 | 3 | 2 | 0 |
| Probability1 | 0.8672 | 0.1235 | 0.0069 | 0.0015 | 0.0010 | 0 | ||
| Upper boundary at CI of 0.952 | 0.8817 | 0.1386 | 0.0116 | 0.0043 | 0.0036 | 0.0018 | ||
| 1/probability3 | 1 | 8 | 145 | 675 | 1013 | NA | ||
| 1/upper boundary (0.95 CI)3 | 1 | 7 | 86 | 233 | 281 | 549 | ||
¹Probability calculated by dividing the total number of positives in a column by the total number of observations (P=Lim (r/n) where r = number of positives and n = total number of samples analyzed).
Calculated using upper boundary set at a .95 confidence limit using Clopper-Pearson exact binomial interval (0 failing inspection out of 2025 samples).
This calculation is the reciprocal of the defect rate and estimates the number of samples required to obtain the first positive sample on average.
Distribution of vegetative Clostridium perfringens counts by enumeration category in cooked samples not from process deviations
| Enumeration Categories | Values by Source | ||||||
|---|---|---|---|---|---|---|---|
| Source | Total | LOD, CFU/g | 0–1 Log | 1–2 Log | 2–3 Log | Mean | Std Dev |
| Company A | 3141 | 10 | 3133 | 8 | 0 | 0.945 | 0.019 |
| Totals | 3141 | 3133 | 8 | 0 | |||
| Probability1 | 0.9975 | 0.0025 | 0.0000 | ||||
| Upper boundary at CI of 0.952 | 0.9989 | 0.0050 | 0.0012 | ||||
| 1/probability3 | 1 | 393 | NA5 | ||||
| 1/upper boundary (0.95 CI)3 | 1 | 200 | 852 | ||||
Probability by dividing the total number of positives in a column by the total number of observations (P = Lim (r/n) where r = number of positives and n = total number of samples analyzed).
The probability for this cell was calculated using a binomial upper confidence bound at a 95% confidence (0 failing inspection out of 3,141 samples).
This calculation is the reciprocal of the defect rate and estimates the number of samples required to obtain the first positive sample on average.
Mean and standard deviations of counts using a normal distribution and a minimum log count of 0.954 log CFU/g.
NA = not applicable (either a division by zero or an operation that cannot be completed).
Distribution of vegetative Clostridium perfringens counts by enumeration category by company in cooked samples from process deviations
| Enumeration Categories | Values by Source4 | ||||||
|---|---|---|---|---|---|---|---|
| Source | Total | LOD, CFU/g | 0–1 Log | 1–2 Log | 2–3 Log | Mean | Std Dev |
| Company A | 412 | 10 | 408 | 4 | 0 | 0.957 | 0.037 |
| Company B | 13 | 10 | 13 | 0 | 0 | N/A | N/A |
| Company C | 2461 | 10 | 2461 | 0 | 0 | N/A | N/A |
| Totals | 2886 | 2882 | 4 | ||||
| Probability4 | 0.9986 | 0.0014 | 0.0000 | ||||
| Upper boundary at CI of 0.952 | 0.9996 | 0.0035 | 0.001277 | ||||
| 1/probability3 | 1 | 722 | NA5 | ||||
| 1/boundary (0.95 CI) | 1 | 282 | 783 | ||||
Defect rate calculated by dividing the total number of positives in a column by the total number of observations (P = Lim (r/n) where r = number positive and n = total number of samples analyzed).
The probability for this cell was calculated using a binomial upper confidence bound at a 95% confidence (0 failing inspection out of 2,886 samples).
This calculation is the reciprocal of the defect rate and estimates the number of samples required to obtain the first positive sample.
Mean and standard deviations of counts using a normal distribution and a minimum log count of 0.954 log CFU/g.
NA = not applicable (either a division by zero or an operation that cannot be completed).
Keywords: C. perfringens, probability, RTE, prevalence.
148 Efficacy of the Microtally® Mitt for Sampling of Beef Carcasses
L. J. Flanagan1,*, J. A. Scanga2, T. M. Arthur3, T. L. Wheeler4, I. Geornaras1, and M. N. Nair1, 1Colorado State University, Fort Collins, CO 80523, USA, 2Eurofins Microbiological Laboratory, Lancaster, PA 17601, USA, 3Fremonta, San Jose, CA 95125, USA, 4U.S. Meat Animal Research Center, Clay Center, NE 68933, USA *lizflan@colostate.edu
Introduction/Objectives: Food safety is crucial in preventing foodborne illnesses and the potential loss of products due to pathogen contamination. Seven Shiga toxin-producing Escherichia coli have been classified as adulterants in ground beef and any beef cuts intended for nonintact use. Therefore, testing carcasses and trimmings is a crucial step for identifying contaminated products. Several sampling methods, including N60 excision, N60 Plus, and continuous and manual sampling devices using the Microtally® Swab or Mitt, are widely used in industry for verification testing. Among these, the Microtally® Mitt (MT-Mitt) is a sterile cloth mitt approved for sampling beef trim. However, the efficacy of the MT-Mitt for sampling beef carcasses has not been validated. Therefore, the objectives of this study were to identify the maximum number of carcass sides the MT-Mitt can sample efficiently (experiment 1) and to compare the MT-Mitt’s effectiveness in bacterial recovery with that of excision sampling (experiment 2).
Materials and Methods: The study was conducted at a commercial beef processing plant during its regular production hours. For experiment 1, 6 sampling lot sizes (4, 6, 8, 10, 12, and 14) were evaluated, with a lot size represented by the number of carcasses sampled using the same MT-Mitt. For example, for a lot size of 4, eight sides of beef (from 4 carcasses) were sampled with the same MT-Mitt. Carcass sides were sampled after the hot water carcass wash and before the application of lactic acid. Additionally, for all lot sizes, sampling was conducted at 2 sites per carcass side using separate MT-Mitts: an upper sampling area that included the inside and outside round, and a lower sampling area that consisted of the chuck and brisket. Each lot size was replicated 10 times (n = 10). For experiment 2, carcass surface excision and MT-Mitt samples (n = 10) were obtained from a different set of carcass sides than those utilized in experiment 1. These samples were collected in the chill cooler, and a lot size of 8 was used. The MT-Mitt samples were collected as previously described. For excisions, a sterile scalpel was used to excise approximately 3 cm × 10 cm of carcass surface tissue from 3 locations in each sampling area (upper and lower). Excisions for the upper sampling area were from the hock, round, and rump, whereas excisions from the lower sampling area were from the foreshank, brisket, and short plate. All samples were analyzed for indicator organism counts, using appropriate Petrifilm plates, for enumeration of aerobic plate counts (APC), Enterobacteriaceae counts (EBC), total coliform counts (TCC), and E. coli counts (ECC). Data were analyzed using R using a linear regression model comparing lot sizes for experiment 1, and excisions vs. MT-Mitt samples for experiment 2. All results are reported as estimated marginal means with a significance of α = 0.05.
Results: Regardless of lot size in experiment 1, the mean APC of the upper and lower sampling areas ranged from 2.1 to 2.7 and 1.8 to 3.0 log CFU/g, respectively. For the upper sampling area, there was a difference (P < 0.05) between the APC of lot sizes 8 and 10, whereas for the lower sampling area, there was a difference (P < 0.05) between the APC of lot sizes 12 and 14. Out of the 120 samples collected from all lot sizes and both sampling areas, 73%, 72%, and 3% had quantifiable (greater than the 0.7 log CFU/g detection limit) EBC (range: <0.7 to 4.3 log CFU/g), TCC (range: <0.7 to 4.1 log CFU/g), and ECC (range: <0.7 to 1.2 log CFU/g) results, respectively. In experiment 2, the overall recovery of APC from MT-Mitt samples was greater (P < 0.05) than that obtained from the excision samples. Specifically, quantifiable APC (greater than the 1.1 log CFU/g detection limit) was recovered from 80% of the MT-Mitt samples collected from the upper sampling site and from 100% of the samples from the lower sampling site. In contrast, quantifiable APC (greater than the 0.5 log CFU/g detection limit) was recovered from 0% and 70% of the upper and lower sampling area excision samples, respectively. Overall, the mean APC of the MT-Mitt samples from the upper and lower sampling locations was <1.9 and 1.7 log CFU/g, respectively, and <0.5 and <0.9 log CFU/g, respectively, for the excision samples.
Conclusion: The results of the study indicated that a sample size of 8 carcasses (16 sides) was an appropriate and practical sampling size for sampling of beef carcass surfaces using the MT-Mitt. Moreover, under the experimental conditions of the study, the MT-Mitt was more effective in recovering indicator organisms compared to the excision sampling method. These results suggest that the MT-Mitt sampling method might be an effective method for sampling of beef carcass surfaces. Further research should be conducted to examine the applicability of this sampling method in commercial beef production at line speed.
Funding Source: Eurofins Microbiological Laboratory
Keywords: beef, pathogens, testing.
149 Gut Microbiota Profiling of Domesticated Barrows under a Controlled Diet
Fanbin Kong1, Alexander M. Stelzleni2, and Jinru Chen1, 1Department of Food Science and Technology, University of Georgia, Athens, GA 30602, USA, 2Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA *astelz@uga.edu
Introduction/Objectives: The swine gut microbiome plays a crucial role in microbial dynamics, disease prevention, and growth promotion, with implications for both animal and human health. Establishing baseline microbial profiles under controlled conditions is essential to understanding the composition and function of the gut microbiota. This study aimed to determine baseline levels of beneficial and pathogenic microorganisms in domesticated barrows using culture-based and culture-independent methods, thereby providing a comprehensive microbial profile to aid in gut health management and disease mitigation.
Materials and Methods: A total of 9 domesticated barrows (Sus scrofa domesticus; PIC Line 337 x Camborough) were used over a 9-mo study period, divided into 3 replicates of 3 pigs each. The barrows, averaging 92 kg in weight, were individually housed in climate-controlled pens (∼3.9 × 1.5 m) equipped with slatted floors, feed bins, and automatic waterers. All barrows were fed a standardized commercial grower diet (Hog Grower 14%) formulated according to NRC nutrient requirements, containing 14% crude protein, 5% crude fat, and 2.5% crude fiber. Fecal samples (∼50 g) were collected from each barrow at 3 time points per replicate, starting after a 7-d dietary transition phase and continuing on days 28, 56, and 84, with 28-day intervals between each collection. Samples were immediately placed in a −20°C freezer and transported to the laboratory under frozen conditions for analysis. Microbial populations in 1 g of well-mixed fecal samples were enumerated using 11 selective growth media under various incubation conditions (Table 1). Viable counts were analyzed using an ANOVA linear model in SAS, with statistical significance determined via the Mixed procedure at a 95% confidence level. Total genomic DNA was extracted from collected samples using the QIAamp PowerFecal Pro DNA Kit, and DNA quality was verified through agarose gel electrophoresis. The V3–V4 region of the 16S rRNA gene was amplified using polymerase chain reaction and sequenced on the Illumina PE 250 platform. Alpha diversity indices (Shannon, Simpson, ACE, Chao1) were calculated, and beta diversity was assessed using principal coordinate analysis (PCoA) based on weighted and unweighted UniFrac distances. All diversity metrics were computed in QIIME2 and visualized in R.
Results: Culture-based microbial enumeration confirmed the presence of beneficial bacteria, with Lactobacillus and Bifidobacterium detected at 7.4 ± 0.5 and 3.2 ± 0.9 log CFU/g, respectively. Pathogenic bacteria such as Bacteroides (3.5 ± 0.7 log CFU/g), Clostridium (7.9 ± 0.1 log CFU/g), Enterobacteriaceae (6.3 ± 1.3 log CFU/g), Staphylococci (5.9 ± 0.4 log CFU/g), and Streptococci (8.8 ± 0.5 log CFU/g) were also detected. Total anaerobes were present at 9.2 ± 0.5 log CFU/g, whereas nonsporing anaerobes and gram-negative anaerobes were 8.7 ± 0.5 and 8.0 ± 0.5 log CFU/g, respectively. The total facultative anaerobes reached 6.5 ± 1.0 log CFU/g. The populations of total anaerobes, nonsporing anaerobes, and Streptococcus were significantly higher than those of other groups, while the number of Bifidobacterium and Bacteroides was significantly lower (P ≤ 0.05). The dominant taxa based on culture-based enumeration were total anaerobes (43.16%), followed by nonsporing anaerobes (32.15%) and Streptococcus (17.11%). Minor populations included Clostridium (3.88%) and gram-negative anaerobes (2.25%), while Lactobacillus, facultative anaerobes, Enterobacteriaceae, Staphylococcus, Bacteroides, and Bifidobacterium each accounted for less than 1%. Culture-independent analysis identified Firmicutes (80.4%) as the dominant phylum, followed by Bacteroidota (12.4%) and Actinobacteriota (5.5%). The Firmicutes to Bacteroidota ratio ranged from 2.8 to 58. At the genus level, Streptococcus and Clostridium sensu stricto 1 were predominant, with Megasphaera elsdenii emerging as the most abundant species. Significant variation in microbial diversity was observed among experimental groups. Alpha diversity indices revealed differences in species richness and evenness, while PCoA plots based on weighted and unweighted UniFrac distances showed distinct clustering patterns between sampling groups (P ≤ 0.05).
Conclusion: This study established baseline levels of beneficial and pathogenic bacterial populations, providing key insights into the microbial dynamics in barrow guts. The integration of culture-based and culture-independent approaches enhanced the resolution of gut microbiota profiling and contributed to a deeper understanding of microbial community structures. These findings provide a foundation for future investigations into microbiota-driven mechanisms of health and disease in both swine and humans.
Culture-based methods for enumerating key bacterial groups in the gut of domesticated barrows
| Microorganisms | Media | Supplements | Incubation Conditions |
|---|---|---|---|
| Total anaerobes | Wilkins Chalgren Anaerobic HiVegT Agar Base | - | Anaerobic, 37 °C for 48 h |
| Non-sporing-forming anaerobes | Wilkins Chalgren Anaerobic HiVegT Agar Base | Anaero Supplement and 5% sterile sheep blood | Anaerobic, 37 °C for 48 h |
| Gram-negative anaerobes | Wilkins Chalgren Anaerobic HiVegT Agar Base | G.N. Anaero Supplement and 5% sterile sheep blood | Anaerobic, 37 °C for 48 h |
| Total facultative anaerobes | Nutrient Agar | - | Facultative anaerobic, 37 °C for 24 h |
| Bacteroides | Bacteroides Bile Esculin Agar | Gentamicin | Anaerobic, 37 °C for 48 h |
| Clostridium | Reinforced Clostridial Agar | Polymyxin B | Anaerobic, 37 °C for 48 h |
| Enterobacteriaceae and Enterococcus | MacConkey Agar No. 2 | - | Facultative anaerobic, 37 °C for 36 h |
| Staphylococcus | Mannitol Salt Agar | - | Facultative anaerobic, 37 °C for 24 h |
| Streptococcus | Azide Blood Agar Base | 5% sterile sheep blood | Facultative anaerobic, 37 °C for 24 h |
| Bifidobacterium | Bifidobacterium Agar, Modified | Bifidobacterium Selective Supplement | Anaerobic, 37 °C for 48 h |
| Lactobacillus | De Man-Rogosa- Sharpe Agar | Vancomycin hydrochloride, bromocresol green, and cysteine-HCl | Microaerophilic, 37 °C for 48 h |
Funding Source: USDA National Institute of Food and Agriculture
Keywords: gut microbiota, microbial diversity
150 Variability Distribution of Total Aerobic Counts, Salmonella Prevalence, and Quantification in Chicken Breast Samples across Multiple Poultry Processing Facilities in the United States
Luis Salazar*, Rigo Soler-Diaz, Mindy Brashears, and Marcos Sánchez-Plata, Texas Tech University, Lubbock, TX 79409, USA *luis.salazar@ttu.edu
Introduction/Objectives: Introduction: The USDA-FSIS is proposing new performance standards for Salmonella that incorporate prevalence, quantification, and serotyping of strains of concern to evaluate pathogen control by processors. These standards may require corrective actions when lots are deemed adulterated, impacting HACCP implementation. However, defining lots in high-throughput poultry plants is logistically challenging and may lead to significant product holding and recalls if the lot unit is impractically defined. Objectives: To evaluate microbial variability in chicken breast samples using aerobic plate counts (AC) as general indicators of hygiene and Salmonella quantification and prevalence, and to assess how microbial loads are distributed across combos and facilities to inform lot definition approaches.
Materials and Methods: Methodology: Chicken breasts were sampled from 4 U.S. poultry processing facilities (Beta, Delta, Zeta, Eta). Samples were collected across multiple days: 240 from Beta, 80 from Delta, 160 from Zeta, and 78 from Eta. For each rinse sample, 4-lb chicken breast composites were mixed with 400 mL of buffered peptone water (BPW). Sampling events consisted of 10 samples collected at 3-min intervals over a 30-min period. A total of 8 sampling events were conducted throughout a full production day. Aerobic counts (AC) were assessed using the Tempo® system. Salmonella prevalence and quantification were measured using GeneUp® assays. Quantification data were categorized as negative, <10 CFU/mL, or >10 CFU/mL (“events”). Statistical analysis (95% confidence) included ANOVA, Tukey’s HSD, Chi-square, Kruskal-Wallis, and Wilcoxon tests. No correlation analysis was performed between AC and Salmonella enumeration.
Results: Results: AC and Salmonella loads varied significantly among combos within plants and among processing plants. AC loads differed significantly in Delta (P = 1.8e-6) and Zeta (P = 0.017), but not in Beta (P = 0.17), where AC counts were quantifiable. Salmonella enumeration data were collected from 3 plants (Beta, Delta, Zeta), with significant differences observed only in Zeta across combos (P = 0.03). Salmonella prevalence data, which included all 4 plants, showed significant differences (Chi-square, P < 0.05), with Delta showing the highest percentage of “events” (6.25%) and Zeta the lowest (0%). The highest proportion of Salmonella-negative samples was observed in Beta (97.5%).
Conclusion: Conclusion: This study revealed substantial microbial variability across facilities and production combos. AC levels were significantly higher in Delta and lower in Zeta. Among the 3 plants with enumeration data, Salmonella levels varied significantly only within Plant Zeta. Prevalence results, which included all 4 plants, also varied, with Delta exhibiting the highest rate of samples exceeding 10 CFU/mL and Zeta the lowest. These findings support the need to define microbial sampling strategies at the combo level to detect variability, especially in facilities with weaker process control. While AC was used as a general indicator of hygienic conditions, further studies are needed to evaluate its predictive relationship with Salmonella. Additionally, the data demonstrate that combo-based lot definitions could help identify high-risk periods and better allocate corrective actions.
Funding Source: US Poultry and Egg Association.
Keywords: Salmonella, quantification, prevalence, aerobic counts.
151 Enhancing Shelf Life of Chicken Tenders Using Sodium and Potassium Vinegar-Based Marinades
Surabhi Wason*, Jasmine Kataria, Robby Weyker, Megan McGough, Paul Ludtke, Renetta Cooper, Blaine Jenschke, Joyjit Saha, Christin Kohloff, Kerry, Beloit, WI 53511, USA *surabhi.wason@kerry.com
Introduction/Objectives: Vinegar has been used as a marinade solution due to its ability to impart improved flavor and tenderness in poultry. It could also help processors extend the shelf life of fresh poultry for food service to reduce food waste. The objective is to evaluate sodium and potassium-based vinegars in controlling the spoilage microorganisms in marinated chicken tenderloins, thereby addressing the need for extended shelf life in refrigerated food service storage.
Materials and Methods: Fresh chicken tenders were treated with different sodium (IsoAge 240L) and potassium-based vinegar (IsoAge 325L) at 1.0 and 2.0 % concentration. Samples were subjected to vacuum tumbling-immersion marination (Lyco LT-40) in the brine (chilled tap water and 1% table salt) and IsoAge at 8–10 rpm for 30 min at 4°C. Brine solution (without preservative) served as the untreated control. Treated samples (∼100 g) were vacuum packed and stored at 4°C for up to 30 d. On each sampling day (days 0, 2, 4, 7, 9, 11, 17, 23, 25, 30), duplicate samples were opened and placed in buffered peptone water. The samples were plated on MRS for lactic acid bacteria (LAB) enumeration and TSA for aerobic plate count (APC) enumeration and incubated at 37°C for 24 h and 48 h, respectively. The spoilage threshold was set at 6 log CFU/g. The microbial population and number of days to reach the spoilage limit using different treatments were compared using Tukey’s HSD test in JMP Pro version 16.1.0 (SAS Institute Inc., NC, USA), with significance set at P < 0.05.
Results: IsoAge240L and 325 L at 2.00% exhibited superior efficacy in extending the shelf life of chicken tenders as compared to the 1.00% control (P < 0.05). Specifically, IsoAge240L and 325 L achieved control of APC until 23days of refrigerated storage, while the untreated control reached 6 log CFU/g by day 7. Similarly, IsoAge 240 and 325L also significantly delayed the growth of LAB (days to spoilage 23 and 22 d; P > 0.05), surpassing the control (brine solution), which spoiled by day 7(P < 0.05).
Conclusion: Potassium-based systems are as effective as sodium-based ones, making them a suitable replacement that meets dietary preferences and regulatory requirements while maintaining high product quality and safety in food service applications.
Days to spoilage (6 Log CFU/g) of marinated chicken tenders treated with IsoAge 240 L and 325 L, followed by subsequent storage at 4°C
| S. No. | Treatments | Concentration (%) | APC | LAB |
|---|---|---|---|---|
| 1 | Control | Brine (Salt+water) | 7 | 9 |
| 2 | IsoAge 240L |
1.0 | 12 | 15 |
| 3 | 2.0 | 23 | 22 | |
| 4 | IsoAge 325L |
1.0 | 15 | 18 |
| 5 | 2.0 | 23 | 23 |
Funding Source: Kerry.
Keywords: poultry preservation, vinegar, fresh chicken.
152 Biomapping of Aerobic Plate Counts and Enterobacteriaceae on Beef Carcass Foreshank at 3 Cooler Locations after 88 Hours of Chilling
Erica Shebs, Joe Sonderman*, and Kirby Childs, Greater Omaha Packing Co., Inc., Omaha, NE 68107, USA *jsonderman@greateromaha.com
Introduction/Objectives: The goal of this study was to evaluate the potential increase of aerobic plate counts (APC) and Enterobacteriaceae (EB) loads on beef carcass foreshanks at 3 cooler locations after 4 d (88 h) of chilling.
Materials and Methods: Carcass surface sponge samples (n = 60, Gold Standard Diagnostics Stick-Sponges with 10 mL HiCap™ Neutralizing Broth, EZ-10HC-PUR) were collected on 60 randomly selected carcasses from different lots at 3 locations (20 carcasses per location) in a beef facility cooler, including the Hot Box, Middle Cooler, and grading cooler (GC). Cooler ambient temperatures were continuously monitored (2°C); no differences in temperature were found. The time period of 88 h was chosen to mimic holiday weekends, plant cleanups, and/or extended weekends due to market conditions that allow for extended growth time for bacteria. Foreshank samples were collected by swabbing Hereford breed carcasses from the carpal joint to the pectoral muscle and around all sides of the shank on the left/trailing side. Sponge samples were stored in a cooler at 4°C until processed at a third-party laboratory for APC and EB. Enterobacteriaceae (EBs) are recommended to be used as an indicator organism for beef processing facilities (Best Practices for Using Microbial Sampling, 2008). Statistical analysis was performed using a T-test with unequal variance (P = 0.05) on Excel (Microsoft 365 Version 2501).
Results: Average APC and EB results are shown in the figures below. Overall, the APC and EB results for all cooler areas both significantly (P ≤ 0.05) increased after 88-h of chill from 2.87 to 4.37 Log CFU/sponge, and from 0.62 to 1.8 Log CFU/sponge, respectively. APC loads were observed to increase after the 88-h chill in the Grading, Middle, and Hot Boxes by 1.48, 1.15, and 1.86 Log CFU/sponge, respectively. Similarly, EB loads increased by 0.92, 0.56, and 2.07 Log CFU/sponge, respectively.
Conclusion: This biomapping study monitored APC and EB loads on beef carcass foreshanks before and after an 88-h chill in 3 cooler areas, identifying the cooler areas that provided the least and greatest microbial growth over the extended chill time. The study was designed to characterize the microbial growth that can occur over extended storage times due to plant cleanups, holiday weekends, and extended weekends due to market conditions. The results show an increased microbial growth of APC and EB that allows for the establishment of a baseline in a commercial beef processing facility. This will help the industry develop additional strategies to address the different rates of microbial growth between extended (88 h) and traditional cooler storage times (24–48 h). This study has identified areas that require further investigation into the possible causes and interventions that can be used to mitigate the microbial increase and improve overall food safety.
Average EB on carcass foreshanks before and after 88-h chill by cooler area.
Statistical significance (P < 0.05) is indicated by a change in letter.
x–zLetters denote significance between different cooler areas, on the same day.
a–cLetters denote significance within each area, between the 2 d.
Funding Source: This project was funded by Greater Omaha Packing Co., Inc., Research and Development.
Keywords: APC, beef processing, beef-chilling, biomapping, Enterobacteriaceae.
153 Evaluating the Efficacy of Hydrated Surface Lethality as a Novel Approach for Ensuring the Destruction of Salmonella on the Surface of Beef Jerky
Jordan Hartley*, Russell Mcminn, Jeff Sindelar, University of Wisconsin-Madison, Madison, WI 53706, USA *jmhartley3@wisc.edu
Introduction/Objectives: USDA-FSIS Appendix A is a guidance document utilized by meat processors to ensure sufficient pathogen lethality in ready-to-eat products. Amongst the lethality requirements of Appendix A are relative humidity (rH) options designed to eliminate Salmonella on the surface of products by addressing increased microbial heat resistance resulting from product surface desiccation. However, these rH guidelines can be difficult to implement and do not always ensure a hydrated surface is achieved. Surface hydration exists when the wet bulb temperature exceeds the temperature at the product surface. When this condition exists and is maintained at lethal times and temperatures, Salmonella lethality is achieved. The first objective of this study is to assess whether a hydrated surface lethality (HSL) approach can be an effective alternative to the current Appendix A rH requirements. The second objective is to determine whether HSL steps provide sufficient lethality of Salmonella when incorporated before or after surface desiccation.
Materials and Methods: Trimmed beef semitendinosus muscles were tempered at −20°C for 1 h, sliced in a parallel direction to the muscle fibers into 6.35-mm thick pieces, and vacuum tumbled for 20 min with a marinade solution containing 3.0% water and 2.5% salt (based on raw meat weight [w/w]). The tumbled pieces were placed flat onto wire screens and loaded onto a smokehouse truck. Before thermal processing, pieces were surface inoculated to approximately 9.0 log CFU/g with an 8-strain mixture of Salmonella. The inoculated samples were held at 4°C for 1 h and then processed in a smokehouse for 4 h following one of 3 different thermal process schedules (Table 1). The control thermal schedule did not incorporate an HSL step. Thermal processing schedules with HSL incorporated an HSL step at either 1 h or 3 h into the cook process to simulate real-world hydrated and desiccated states of the jerky during processing. Smokehouse wet and dry bulb, and product internal and surface temperature data were collected during each thermal process using time and temperature recording thermometers. Before each thermal process, 3 uninoculated raw samples were collected for physicochemical analysis. For each thermal process, triplicate inoculated samples were collected at the beginning of the process and at 30-min intervals thereafter for the duration of the process. At each sampling point, 3 surface-inoculated pieces of jerky were removed from the smokehouse. From each piece, an uninoculated portion of the piece was removed for AW analysis. The inoculated portion of the surface, indicated with a non-antimicrobial food dye incorporated into the inoculum, was excised using a sterile scalpel and forceps. Excised samples were immediately placed in sterile Whirl-Pak filter bags, diluted 1:1 with cold PBS at ≤4°C, and submerged in an ice water bath to cool to ≤4°C. After cooling, the bags were then stomached for 2 min, serially diluted, plated onto XLD plates with a thin overlay of TSA, and incubated at 37°C for 36–48 h before enumeration. Integrated lethality profiles for each thermal process were created by plotting the average temperature data collected during the thermal process, microbial populations, and product AW versus time.
Results: Figure 1 shows the average Aw of beef jerky during the control process, plotted with smokehouse and product temperature data versus time. This process did not incorporate an HSL step, which is indicated by the consistently low wet bulb (WB) temperature maintained throughout the thermal process. The target Aw of ≤0.85 was reached after 4 h of cooking, which was standardized for the experimental design of the study. A 5.0 log reduction of Salmonella on the surface of the product was not achieved when jerky was cooked following the control non-HSL schedule. The reduced lethality was likely due to surface desiccation, which enhanced the heat tolerance of Salmonella. Surface lethality of Salmonella increased in both thermal processes, including HSL steps. The reduction of surface Salmonella in both thermal processes with HSL steps indicates that using HSL is effective in providing surface lethality.
Conclusion: This research demonstrates that achieving a hydrated product surface during cooking is critical to ensuring sufficient lethality of Salmonella in products and processes where desiccation of the product surfaces exists. Additionally, it shows that the hydrated surface must be maintained at a lethal time-temperature combination, such as those found in Appendix A. Because the HSL step was able to demonstrate lethality both before and after desiccation of the product surface, there is potential for HSL to serve as an alternative to the current relative humidity guidelines found in Appendix A. The results of this research suggest that the HSL approach may apply to a wider range of product types, provide a more scientifically definitive approach to product surface lethality, and offer more flexibility for processors incorporating this important step into their thermal processes. Further research is necessary to address variations in surface conditions.
Beef jerky thermal processing schedules
| Thermal Processing Schedule | Step | Type | Duration | Dry Bulb Temperature (°C) | Wet Bulb Temperature (°C) | Fan Speed | Smokea |
|---|---|---|---|---|---|---|---|
| Control | 1 | Dry | 4.5 h | 76.7°C | - | 100 | Off |
| HSL Step | 1 | HSL | 20 min | 82.2°C | 79.4°C | 20 | Off |
| 2 | Dry | 4.17 h | 76.7°C | - | 100 | Off |
Excluded smoke in our jerky processing to present worst-case scenarios, given its antimicrobial effects.
Funding Source: Meat Institute Foundation and United States Department of Agriculture.
Keywords: hydrated surface lethality, thermal processing.
154 The Efficacy of Sodium Bisulfate When Applied as a Short-Duration Antimicrobial Dip to Control Shiga Toxin-Producing E. coli and Salmonella spp. on Beef Trim
Mack P. Myer1,*, Josie N. Hernandez1, Emily R. Barr1, Cody L. Gifford1, Dana K. Dittoe1, and Christina Ovall2, 1Animal Science Department, University of Wyoming, Laramie, WY 82071, USA, 2Jones-Hamilton Co., Walbridge, OH 43465, USA *mmyer2@uwyo.edu
Introduction/Objectives: The presence of Shiga toxin-producing Escherichia coli (STEC) O157:H7, as well as the other “Big Six” STECs (E. coli O16, O45, O103, O111, O121, and O145), is prohibited from being in ground beef. Additionally, Salmonella spp. is a commonly recovered microorganism in ground beef and is consistently linked to foodborne illnesses in the United States. Therefore, testing and implementing effective antimicrobials within the harvest and fabrication process is important to prevent the contamination of ground product. The objective of the current study was to evaluate the efficacy of sodium bisulfate (SBS) against S. Dublin, Enteritidis, Newport, and Typhimurium and STEC O103:H11, O111:H8, O145:NM, and O157:H7 when used as a short-duration dip on beef trim.
Materials and Methods: Over 6 total trials (3 E. coli trials, 3 Salmonella trials), 56 pieces of beef trim originating from the chuck roast (about 100 g pieces, N = 56) were spot inoculated with 0.4 mL (∼6 Log CFU/ml) of either a rifampin resistant (RIF) STEC cocktail (O103:H11, O111:H8, O145:NM, O157:H7) or nalidixic acid (NA) resistant Salmonella cocktail (S. Dublin, S. Enteritidis, S. Newport, S. Typhimurium) and adhered for 60 min at 4°C (∼5 Log CFU/g). The experimental treatments included: no inocula and no treatment, no treatment (NT), tap water (TW), SBS (3% wt/vol), Assist (pH 1.1), lactic acid (LA, 4% wt/vol), peracetic acid (PAA, 500 ppm), and the combination of SBS + PAA. Each sample was individually dipped in 300 mL of the respective treatment and manually agitated for 5 s. Samples were allowed to drip for 2 min on sterile baking racks following treatment application. Samples were homogenized in 150 mL of neutralizing buffer peptone water (nBPW) for 2 min at 200 rpm. Homogenate was serially diluted, spread plated on either MacConkey agar to enumerate STECs or XLD to enumerate Salmonella, and incubated aerobically for 24 h at 37°C. Bacterial counts were recorded as CFU/g and Log10 transformed. Microbial data were analyzed using a linear mixed-effect model with pairwise differences determined using Tukey’s HSD and significance determined at P < 0.05 (mixed effect = trial).
Results: There was a main effect of treatment on beef trim inoculated with RIF-resistant STECs (P < 0.0001). All treatments, TW, LA, Assist, SBS, PAA, and SBS + PAA (4.50, 4.46, 4.56, 4.37, 4.63, 4.45 Log CFU/g) reduced STEC populations on the beef trim compared to the NT control (4.96 Log CFU/g). Although there was a significant difference between all treatments when compared to the NT control, there was no significant difference between each antimicrobial treatment. Each antimicrobial was effective in reducing STEC populations, but no antimicrobial treatment outperformed the others. There was a main effect of treatment on beef trim inoculated with nalidixic acid-resistant Salmonella (P < 0.001). There were differences in recovered Salmonella levels on the beef trim between the antimicrobial treatments. Samples treated with TW (4.50 Log CFU/g) resulted in significantly lower Salmonella presence when compared to Assist, LA, and NT (4.67, 4.68, 4.70 Log CFU/g). However, samples treated with PAA, SBS, and SBS+PAA (4.56, 4.60, 4.60 Log CFU/g) were not significantly different from TW or Assist, LA, and NT.
Conclusion: The present study demonstrates that all antimicrobial treatments effectively reduced STEC populations on beef trim compared to the untreated samples. However, no single antimicrobial treatment was significantly different than the others. In addition, the reductions in pathogen levels by industry standards and experimental treatments in the current experiment were not greater than 0.5 Log CFU/g, which may not be biologically relevant to meat abattoirs. However, coupled with the multi-hurdle approach, these antimicrobial treatments may result in greater efficacy against foodborne pathogens. Further research should be conducted to explore the impact of SBS on meat quality, shelf life, and the microbial ecology to better understand its potential as an alternative antimicrobial in the beef industry.
Funding Source: We acknowledge the in-kind support of chemical solutions from Safe Food Chemical Innovations and Jones-Hamilton Co.
Keywords: pathogens, sodium bisulfate, beef trim.
155 Ultrafine Ozone Bubble Water Wash Reduces Salmonella Enteritidis Cross-Contamination Without Compromising Chicken Breast Quality and Sensory Attributes
Trushenkumar Shah1,*, Chetna Shah1, Ana Leticia1, Tanmaie Kalapala3, Sarah Johnson3, Joaquin Esquivel3, Komala Arsi2, Casey M. Owens3, Annie Donoghue2, Indu Upadhyaya4, and Abhinav Upadhyay5, 1Department of Animal Science, University of Connecticut, Storrs, CT 06269, USA, 2Poultry Production and Product Safety Research Unit, ARS, USDA, Fayetteville, AR 72701, USA, 3Department of Poultry Science, University of Arkansas, AR 72701, USA, 4Department of Extension, University of Connecticut, Storrs, CT 06269, USA, 5University of Arkansas *trushenkumar.shah@uconn.edu
Introduction/Objectives: Salmonella Enteritidis (S. Enteritidis) remains one of the most common foodborne pathogens associated with poultry products and poses a critical food safety risk during post-harvest processing, particularly during the chilling step. The reuse of water or ice during immersion chilling can facilitate cross-contamination between carcasses, increasing the potential for outbreaks and regulatory non-compliance. With growing industry demand for sustainable, chemical-free antimicrobial interventions, ultrafine ozone bubble (UFOB) water has emerged as a promising alternative. This study aimed to evaluate the efficacy of UFOB water in reducing SE cross-contamination on chicken skin and its impact on meat quality and sensory characteristics.
Materials and Methods: Ultrafine ozone bubble (UFOB) water was generated using a VMUS-10 ozone generator (Oxidation Technologies, USA) connected to a Microstar nanobubble generator (Aciniti, Japan). The dissolved ozone was measured post-bubble using the Vacu-vials kit (SAM, OZONE, CHEMetrics, I-2019). The concentration and size of UFOB were determined in triplicate using a NanoSight NS300 (Malvern Panalytical Ltd). For microbial evaluation, fresh chicken skin samples (4 × 4 cm) were spot inoculated with a 4-strain cocktail of S. Enteritidis, prepared from overnight cultures grown in tryptic soy broth. Each sample was inoculated with ∼7 log CFU/sample of S. Enteritidis and allowed to attach for 120 min at room temperature. Following attachment, one inoculated skin sample was submerged along with 9 uninoculated skin samples in 500 mL of either DI water (control) or UFOB water at 4°C for 30 min. Post-treatment, all skin samples were individually transferred to separate D/E (Dey/Engley) neutralizing broth bags, then serially diluted and plated on XLD media to determine bacterial load reduction. In a meat quality assessment study, chicken breast fillets (n = 24 per group) were dipped in either DI or UFOB water for 30 min at 4°C. Post-treatment, samples were analyzed for meat quality parameters, including pH, surface color (L*, a*, b* using a colorimeter), thaw loss, and cook loss. Sensory evaluation was conducted using a trained descriptive panel (n = 6) to assess aroma, flavor, texture, appearance, and overall acceptability. All experiments included duplicates and were independently repeated in triplicate. Data were analyzed using Student’s T-test, and statistical significance was determined at a P value < 0.05 using GraphPad Prism software.
Results: The ultrafine ozone bubble (UFOB) water used in this study exhibited a dissolved ozone concentration of approximately 9 ppm. The nanobubble concentration was estimated at ∼108 bubbles/mL, with average diameters ranging from 100 to 200 nanometers. In the cross-contamination experiment, all uninoculated chicken skin samples (10/10) exposed to S. Enteritidis inoculated samples in deionized (DI) water were positive for S. Enteritidis, indicating a 100% cross-contamination rate. In contrast, treatment in UFOB water significantly reduced cross-contamination to 50%, with only 5 out of 10 samples being positive for S. Enteritidis (P < 0.05). This suggests that UFOB water has potential as an effective intervention to reduce S. Enteritidis transfer during poultry immersion chilling. Direct reduction of SE on inoculated chicken skin was also observed following UFOB treatment. Compared to DI water control, UFOB treatment achieved a ∼1 log CFU/sample reduction in S. Enteritidis levels (p < 0.05), confirming its antimicrobial efficacy. In terms of meat quality, no significant differences were observed between DI and UFOB-treated chicken breast samples across key parameters. The pH, surface color values (L*, a*, b*), thaw loss (∼3%), and cook loss (∼33%) remained statistically similar between both groups (P > 0.05). This indicates that UFOB treatment did not negatively affect the physicochemical properties of chicken breast meat. Descriptive sensory analysis further supported these findings. A trained panel evaluated the samples for appearance, aroma, flavor, texture, basic taste, and feeling factors. No significant differences were found between the DI and UFOB-treated samples (P > 0.05), suggesting that UFOB water does not alter the sensory attributes important to consumer acceptance.
Conclusion: Ultrafine ozone bubble (UFOB) water significantly reduced S. Enteritidis cross-contamination during simulated poultry chilling, achieving a 50% reduction in transfer and ∼1 log CFU/sample bacterial load decrease. Importantly, UFOB treatment had no adverse effects on meat quality or sensory attributes, demonstrating its potential as a sustainable, chemical-free antimicrobial intervention. These findings support the use of UFOB water as a viable post-harvest strategy to enhance microbial safety without compromising product quality in poultry processing.
Funding Source: USDA-FSIS Graduate Food Safety Research Fellowship 2023-24.
Keywords: ultrafine ozone bubbles, Salmonella, chicken breast, sensory attributes.
156 Distribution of Indicator Microorganisms (Aerobic Counts), Pathogen Presence and Quantification (Salmonella), in Chicken Tender Samples across Multiple Poultry Processing Facilities
Isaac Romero*, Rigo Soler-Diaz, and Marcos Sánchez-Plata, International Center for Food Industry Excellence, Department of Animal and Food Sciences, Texas Tech University, Lubbock, TX 79409, USA *isaac.m.romero@ttu.edu
Introduction/Objectives: Introduction: Chicken is the most consumed meat in the United States, and according to the United States Department of Agriculture (USDA) Economic Research Service, per capita consumption continues to rise. Alongside increased consumption, concerns over food safety, particularly Salmonella contamination, have grown. Salmonella causes an estimated 1.35 million illnesses annually in the U.S., with a reported prevalence of 24.02% in raw chicken parts. To address this issue, the USDA introduced a new Salmonella Framework in 2024, reinforcing the importance of pathogen monitoring in poultry. The proposed standard considers Salmonella prevalence, loads, and serotype virulence thresholds as crucial to improve the food safety of chicken parts, but baseline data on different chicken parts across processing facilities are limited. Objectives: To evaluate the in-plant microbial population variability in chicken tenders based on indicators (aerobic counts) and pathogen loads and prevalence (Salmonella), and compare the distribution of loads across several commercial processing facilities in the U.S.
Materials and Methods: Materials and Methods: Chicken tenders were randomly collected from production lines in 4 different poultry processing facilities, referred to as Alpha, Gamma, Epsilon, and Eta. A total of 319 rinse samples were collected from Alpha, 155 from Epsilon, and 80 from Gamma. For each rinse composite sample, tenders (4 lb) were mixed with 400 mL of buffered peptone water (BPW). Ten rinse samples per one-ton combo were collected in 8 combos sampled for 16 h of production day, covering 2 shifts. Quantification data were classified according to 3 levels: negative, <10 CFU/mL, and >10CFU/mL. Samples with >10CFU/mL were defined as an “event,” considering the importance of those results in a potential product holding scheme by USDA-FSIS. Microbial indicators (aerobic counts) were evaluated using the Tempo® System, while Salmonella prevalence and quantification were assessed with the GeneUp® Salmonella detection and quantification protocols, respectively. Data analysis was performed in R. ANOVA and Tukey’s test were used to compare AC loads among contamination loads in each plant and across plants. A Chi-square test evaluated Salmonella prevalence differences across facilities, while Kruskal-Wallis and pairwise Wilcoxon tests were applied to compare Salmonella enumeration as non-parametric means. All statistical analyses were conducted at a 95% confidence level.
Results: Results: Aerobic counts (AC) and Salmonella loads in chicken tenders exhibited significant differences across combos within each facility and across processing plants. For AC, ANOVA analysis revealed statistically significant differences (P < 0.05) across combos within each plant, particularly in Plant Alpha (P = 7.5e-11), Epsilon (P = 7.6e-11), and Gamma (P = 2.2e-09). For Salmonella, significant differences were observed in enumeration among combos in Plant Alpha (P = 3.2e-08). Salmonella prevalence, Chi-square analysis showed significant differences among the 3 plants (P < 0.05). Plant Gamma exhibited the highest percentage of “events” (30%), while Epsilon had the lowest (0.65%). Negative results for Salmonella were most frequent in Plant Eta (85%), followed by Alpha (80.88%), Epsilon (76.13%), and Gamma (56.25%), showing variable control among different facilities. These differences across facilities may be influenced by variations in plant structure, source materials, and the concentration of PAA applied during processing, potentially impacting microbial loads and Salmonella control.
Conclusion: Conclusion: This study demonstrated significant variability in microbial loads and Salmonella prevalence among chicken tenders collected from different poultry processing facilities. Aerobic counts and Salmonella quantification varied not only between plants but also across production combos within the same facility, highlighting temporal fluctuations in contamination levels. Plant Gamma consistently exhibited higher Salmonella prevalence and enumeration, suggesting potential differences in hygiene practices, process control, or incoming raw material. Conversely, Plant Epsilon had the lowest incidence of “events,” indicating more effective microbial control. These findings underscore the importance of facility-specific monitoring and support the use of combo-based sampling as a sensitive tool for detecting variability in microbial contamination during poultry processing, with potential implications for regulatory compliance.
Funding Source: Egg & Poultry Association.
Keywords: poultry, Salmonella quantification indicators, independence.
157 Variability Distribution of Total Aerobic Counts, Salmonella Prevalence, and Quantification in Whole Leg Samples Across Multiple Poultry Processing Facilities in the United States
Reagan L. Brashears*, Rigo Soler-Diaz, Mindy Brashears, and Marcos Sánchez-Plata, International Center for Food Industry Excellence, Department of Animal and Food Sciences, Texas Tech University, Lubbock, Texas, USA *reagan.brashears@ttu.edu
Introduction/Objectives: The USDA-FSIS has proposed new Salmonella performance standards that incorporate prevalence, quantification, and serotyping of specific strains of concern to assess pathogen control in poultry processing facilities. These standards may introduce an adulteration component, requiring processors to take corrective actions within their HACCP system. Implementing such measures presents logistical and economic challenges, particularly for high-production cuts like chicken leg quarters. Additionally, the lack of a standardized lot definition complicates compliance, as an impractical classification could result in extensive product holding and large-scale recalls. Given these challenges, evaluating Salmonella prevalence and microbial loads in whole legs is essential to understanding contamination patterns and guiding science-based decisions for regulatory compliance and food safety. The objective of this study is to evaluate the in-plant microbial population variability in whole legs using indicators (aerobic counts), pathogen loads, and prevalence (Salmonella), and compare distribution loads across commercial processing facilities based on different lot definition approaches.
Materials and Methods: Whole legs were randomly collected from production lines in 3 different poultry processing facilities, referred to as Epsilon, Zeta, and Eta. A total of 159 rinse samples were collected from Epsilon, 160 from Zeta, and 80 from Eta. For each rinse sample, chicken whole legs (4 lb composites) were mixed with 400 mL of buffered peptone water (BPW) every 3 min. Ten rinse samples per one-ton combo were collected in 8 combos in a 16-h production day, approximately, one combo every 2 h. Quantification data were stratified into different levels: negative, <10 CFU/mL, and >10 CFU/mL. Levels with >10CFU/mL were also defined as a potential “event,” considering the importance of those results in the potential product holding by FSIS. Microbial indicators (aerobic counts) were evaluated using the Tempo® System, while Salmonella prevalence and quantification were assessed with the GeneUp® Salmonella detection and quantification protocols, respectively. Data analysis was performed in R by conducting ANOVA and Tukey’s test to compare AC load contamination within each plant and across the different facilities. Kruskal-Wallis and pairwise Wilcoxon tests were applied to compare Salmonella enumeration data. All statistical analyses were conducted at a 95% confidence level.
Results: Aerobic counts (AC) and Salmonella loads in chicken whole legs exhibited significant differences across combos within a facility and between processing plants, except for Salmonella prevalence in Plant Zeta. For AC, ANOVA analysis revealed statistically significant differences (P < 0.05) across combos within each plant, particularly in Plant Zeta (P = 5.3e-3) and Plant Epsilon (P = 3.6e-3). For Salmonella, no significant differences were observed in enumeration across combos in Plant Zeta (P = 6.7e-2), while no counts were detected in Plant Epsilon. Plant Zeta exhibited a slightly higher percentage of “events” (0.62%), while Plant Eta and Epsilon displayed the lowest (0%). Negative results for Salmonella were most frequent in Plant Epsilon (100%), followed by Plant Zeta (96.25%) and Plant Eta (83.75%).
Conclusion: This study demonstrated significant variability in both aerobic counts (AC) and Salmonella loads across chicken whole legs from different poultry processing plants and production combos processed on the same day. Significant differences in AC were observed in Plant Zeta and Plant Epsilon, while Salmonella enumeration did not vary significantly across combos in Plant Zeta, and no counts were detected in Plant Epsilon. The prevalence of Salmonella remained low across plants, with Plant Zeta exhibiting a slightly higher percentage of positive samples, while Plant Epsilon had the highest proportion of negative results. These findings highlight the importance of monitoring microbial contamination at both facility and combo levels, suggesting that differences in process control and hygiene practices influence contamination trends. The results emphasize the need for tailored microbial control strategies to improve food safety in poultry processing and further support the assessment of lot independence within and between combos.
Funding Source: The US Egg and Poultry Association.
Keywords: poultry, safety, Salmonella, processing.
158 Enhancing Beef Processing Landscapes: Leveraging Microbiome Insights and Sanitizer Rotation for Optimal Safety
Dana K. Dittoe1,*, Mack. P. Myer1, and Josie Greve-Peterson2, 1Animal Science Department, University of Wyoming, Laramie, WY 82071, USA, 2Fortrex, Inc., Dunwoody, GA 30338, USA *ddittoe@uwyo.edu
Introduction/Objectives: In ready-to-eat (RTE) meat processing facilities, the environmental landscape (drains, walls, equipment, etc.) has been implicated in recent foodborne outbreaks due to cross-contamination of the final product. As such, there has been an increased focus on the contribution of the processing environmental landscape, such as drains, on subsequent product quality and safety. Recently, non-RTE facilities, such as beef abattoirs, have had an increased interest in maintaining and improving sanitation procedures to mitigate the potential for product quality and safety concerns originating from the environmental landscape. Beef abattoir drains have not traditionally been a focus in sanitation programs and harbor a complex and relatively stable microbiome. Therefore, the objective of the current study was to determine the effect of sanitizer rotation on the commercial beef processing plant’s drain microbial ecology. We hypothesized that sanitizer rotation would alter the diversity and composition of the environmental microbial ecology (drains) of a beef processing facility.
Materials and Methods: Environmental swabs (100 cm2, World Bioproducts EZ-Reach™ Sampler) were collected from 21 drains at 9 different locations within a ground beef abattoir (Table 1, Omaha, NE, USA). Swabs were collected before and after sanitation over 2 wks (week 1: chemical script 1; week 2: chemical script 2). Swabs were transported on ice to the University of Wyoming within 24 h, where an aliquot of each sample was taken for aerobic plate count (APC). Samples were spread plated (100 mL) on Tryptic Soy Agar and incubated for 24 h at 37°C. The DNA of swab samples was extracted using Qiagen’s DNeasy® Blood and Tissue kit (Qiagen, Valencia, CA, USA), and the subsequent library was prepared according to the Earth Microbiome Project targeting the V4 16S rRNA gene. The final library was diluted, denatured, and sequenced on a MiSeq® v2 (500-cycle) reagent cartridge. Microbial (APC) count data were reported as CFU/mL and log-transformed. The effect of sanitizer rotation on each location was explored using a pooled T-test in JMP, with significance determined at P < 0.05. Raw sequences were demultiplexed and analyzed in QIIME2-2024.10. Microbial diversity was explored using ANOVA (alpha) and ADONIS (beta), with pairwise differences determined using Kruskal-Wallis (alpha) and ANOSIM (beta). Taxonomic alignment was performed against the SILVA database, with significant differences in the differential abundance of communities being determined using ANCOM-BC. Significance was determined at P < 0.05 for the main effect and Q < 0.05 for pairwise differences.
Results: There was no significant effect of sanitizer rotation on the APC levels recovered from the drain swabs at any location (P > 0.05). APC levels remained ∼4 Log CFU/mL for all drains except those located within harvest (5–6 Log CFU/mL). There was an effect of sanitizer rotation on the microbial diversity of the swabs (P < 0.05). The richness and evenness (Shannon’s Entropy and Pielou’s Evenness) of drains were reduced through sanitizer rotation, resulting in a less rich and even community (Q < 0.05). As well, there were distinct abundances (Bray-Curtis Dissimilarity) and phylogenetic distances (Weighted UniFrac) between the bacterial communities of drains of sanitizer rotation 1 and 2 (Q < 0.05). The taxonomic structure of the community varied depending on the location of the drains, with Acinetobacter spp. being more prevalent in harvest and Pseudomonas spp. being more abundant in the drains located in the fabrication and ground beef processes. As well, the relative abundance of Escherichia spp. and Enterobacterales increased in the drains located in the harvest (1–10%) to fabrication (20–40%) processes. Overall, the sanitizer rotation reduced the differential abundance of the unassigned taxa bacteria (−1.55 Log Fold Change, LFC; P < 0.05). Within each location, the effect of sanitizer increases and decreases key members of the microbial community (P < 0.05). At the knockbox location, 10 taxa at the genus level were increased, and 9 were reduced due to sanitizer rotation. Among those increased, Acinetobacter and Enterobacterales increased 1.88 and 2.45 LFC due to sanitizer rotation (P < 0.05). At the knockbox area, legger room, and scale room locations, sanitizer rotation reduced rumen-associated taxa (P < 0.05). There were 8 taxa that increased and 1 decreased within the drains present in the offal room (P < 0.05). During fabrication, there were 17 taxa at the genus level, which increased due to sanitizer rotation among the floor drains in the steak room, with none reduced. There were 4, 23, 4, and 2 taxa decreased within the cryovac, comboline, robot, and dumper area drains (P < 0.05).
Conclusion: This study provides insight into how the microbial ecology of floor drains responds to sanitizer rotation in commercial beef processing facilities. Although sanitizer rotation did not reduce overall microbial loads (APC level) among floor drains, it was evident that sanitizer rotation decreased richness and evenness of the microbial community by shifting the community structure. Sanitizer rotation did increase Acinetobacter and Enterobacterales at the knockbox location during harvest; however, at key locations within the fabrication and ground beef process, no taxa at the genus level were increased. Therefore, sanitizer rotation may play a larger part in altering the microbial ecology at specific locations within a beef abattoir, as each location has a unique microbial population. Ultimately, analysis of the microbiome composition of floor drains may support sanitation decisions at beef abattoirs.
Swabs were collected from 9 locations within the beef processing facility, with a total of 21 drains being assessed
| Location | Drains (n) |
|---|---|
| Harvest | |
| Knock box area | 3 |
| Legger area | 2 |
| Scale area | 2 |
| Offal room | 2 |
| Steak room | 2 |
| Fabrication | |
| Cryovac area | 3 |
| Combo line area | 2 |
| Robot area | 3 |
| Ground beef | |
| Dumper area | 2 |
Funding Source: Funding for microbiome analysis was provided by Fortrex, Inc.
Keywords: drains, microbiome, sanitizer rotation, beef.
159 Influence of Cold Adaptation on Growth of Listeria Monocytogenes in Uncured Deli-Style Turkey
Tushar Verma1, Sara LaSuer1,*, Andrew Dillon1, Lorraine English1, Garrett McCoy1, Brandon Goehring1, Robert Ames2, and Rodolfo Garza2, 1Research and Development, Corbion, Lenexa, KS 66214, USA, 2Business Development, Corbion, Lenexa, KS 66214, USA *sara.lasuer@corbion.com
Introduction/Objectives: Listeria monocytogenes is a foodborne pathogen that poses a significant concern in refrigerated foods, such as deli meats, due to its ability to grow and multiply at low temperatures (0–4.4°C). The cold-adaptation process enables the bacteria to grow and proliferate at lower temperatures, which is particularly important because L. monocytogenes can grow in refrigerated environments more effectively than many other pathogens. The objective of this study was to evaluate the impact of cold adaptation on the growth of Listeria monocytogenes in uncured deli turkey.
Materials and Methods: Ground and formed turkey breast samples were produced without antimicrobial (Negative control) or with antimicrobials: 0.7% Verdad® Powder N6 (Dry Vinegar) and 0.8% Verdad® Powder N30 (Cultured Sugar). Products were sliced into 30-g samples and inoculated with a 5-strain cocktail of either noncold or cold-adapted L. monocytogenes (4b [hard salami], 1/2b [hard salami], 4b [human], 1/2a [hard salami], and 4b [goat milk cheese]). Each strain of L. monocytogenes was cold-adapted by transferring 0.1 mL of an overnight tryptic soy broth culture to a fresh tryptic soy broth supplemented with 0.6% yeast extract and incubated at 7°C for 6 d. The inoculated samples were massaged, vacuum packaged in 3 mil 5 × 7-inch polyethylene bags, and stored at 4.4°C in a temperature-controlled incubator. On sampling day, the product was transferred to a sterile sampling bag to which a 1:2 dilution of buffered peptone water was added. The sample was stomached (230 rpm for 30 s), serially diluted, and spread plated onto Modified Oxford agar with incubation at 35°C for 48 h. The uninoculated samples were analyzed for pH (1:9 dilution with deionized water), water activity (AquaLab 4TE), and moisture content (AACC method 44-15.02). Baranyi and Roberts’s growth model was used to describe the growth of noncold and cold-adapted L. monocytogenes and estimate the growth rate and lag time. Minitab 22.1 was used to perform Tukey’s multiple comparison test to determine any significant differences in growth rates and lag time between the inoculum types.
Results: The average proximate values for the turkey samples were 6.35 ± 0.05 pH, 74.86 ± 0.66% moisture, and 0.975 ± 0.001 water activity. Both the inoculum types had a similar starting L. monocytogenes population of ca. 2.50 log CFU/g. The negative control sample showed 1-log outgrowth of cold and noncold-adapted L. monocytogenes on days 5 and 8, respectively. The addition of antimicrobials extended the time to 1-log L. monocytogenes outgrowth compared to the negative control sample. In samples with Verdad® Powder N6, cold and noncold-adapted L. monocytogenes reached 1-log outgrowth on days 23 and 30, while for Verdad® Powder N30, this occurred on days 15 and 30. The samples inoculated with cold-adapted strains had a significantly (P < 0.05) shorter lag time compared to the noncold-adapted strains across all the treatments (Table 1).
Conclusion: This research highlights the importance of cold-adapted L. monocytogenes for conducting challenge studies for refrigerated foods such as deli meats, as it better mimics the natural behavior of microorganisms in a refrigerated setting. The inclusion of antimicrobials (Verdad® Powder N6 and Verdad® Powder N30) extended the time to 1-log L. monocytogenes outgrowth (ca. 18–22 d) for both cold and noncold-adapted strains compared to the negative control sample.
Comparison of lag time and growth rate between the cold and noncold-adapted L. monocytogenes
| Treatment | Lag Time (d) | Growth Rate (d-1) | ||
|---|---|---|---|---|
| Cold | Non-cold | Cold | Non-cold | |
| T1: Negative control | 2.15 ± 0.17b | 4.93 ± 0.13a | 0.354 ± 0.002B | 0.375 ± 0.009A |
| T2: 0.70% Verdad® Powder N6 | 2.71 ± 2.06b | 13.34 ± 1.79a | 0.059 ± 0.004B | 0.076 ± 0.005A |
| T3: 0.80% Verdad® Powder N30 | 3.75 ± 2.03b | 14.49 ± 1.52a | 0.088 ± 0.011A | 0.077 ± 0.004A |
The values in the table are presented as mean ± standard deviation (n = 3).
a,bWithin a row, values with different letters are significantly different at α = 0.05.
A,BWithin a row, values with different letters are significantly different at α = 0.05.
Funding Source: Internally funded.
Keywords: Listeria monocytogenes, turkey, cold adaptation.
160 Impact of Smoke Application on Salmonella Survival on the Surface of Pork Products During Extended, Low-Humidity, Cooking Processes
Sara C. Irizarry Rodriguez1,*, Russ McMinn1, and Jeff Sindelar1, University of Wisconsin-Madison, Madison, WI 53706, USA *sirizarryrod@wisc.edu
Introduction/Objectives: The objective of the study was to assess the survival of Salmonella sp. on the surface of smoked pork loins during extended cooking with a wet bulb (WB) temperature ≤ 48.9°C for the entirety of the process. Smoke absorption on the lean surface of the pork loin will lead to a decreased pH and an increase in titratable acidity on the product surface. We hypothesize that this will result in a reduction in the thermal resistance of Salmonella and, therefore, a decrease in pathogen survival.
Materials and Methods: This experiment followed a 2 × 2 factorial design. The 2 isolated factors were the inclusion or exclusion of sodium tripolyphosphate (STPP) from the brine and the presence or absence of natural smoke during cooking. Experiments with each factorial combination were repeated 3 times. For each replication, fresh pork Longissimus dorsi muscles were closely trimmed to expose lean surfaces, and vacuum tumbled with a marinade solution (9.33% water, 1.42% salt, 0.85% sugar, ± 0.40% STPP, on a meat weight basis (w/w)) for 1 h. After tumbling, the loins were laid flat on the oven rack. 6–8 sections (4 cm2 per section) of each loin were then surface inoculated to approximately 9.0 log CFU/g with an 8-strain mixture of Salmonella. Before cooking, the inoculated loins were held at ≤4°C for 1 h, and triplicate raw samples were collected for proximate analysis. The inoculated loins were then transferred to an oven (dry bulb = 82.2°C) and cooked for 6 h either with or without smoke. Triplicate surface samples were collected from both inoculated and noninoculated loins immediately before cooking, every 30 min for the first 3 h, and every 1 h for the final 3 h of cooking. The excised, inoculated surface samples were placed into Whirl-Pak bags, diluted 1:1 with BPW, and cooled to ≤ 4°C. The cooled samples were then stomached for 2 min, after which they were serially diluted, plated onto XLD plates with a thin overlay of TSA, and incubated at 37°C for 36–48 h before enumeration. Noninoculated samples were gathered for pH and titratable acidity. Dry bulb, wet bulb, and product surface temperature were recorded with MadgeTech HiTemp140 data loggers at 5-min intervals. Smoke density in the oven was quantified by measuring the pH and titratable acidity of 26 mm cellulose casings filled with DI water. Water-filled casings were replaced at 1 h intervals. Integrated lethality profiles for each factorial combination were created by plotting the average temperature data, microbial populations, and product surface pH versus time.
Results: As an example of the environmental conditions we have aimed to recreate for these experiments, Figure 1 shows the thermal profile and surface pH data for pork loins cooked in a gravity oven at 82.2°C with no WB temperature control and smoke added for the duration of the process. In this process, the surface remains hydrated at nonlethal temperatures for approximately 6 h, and the surface pH declines from 6.24 to 5.33. Figure 2 illustrates how the Salmonella population on the surface was desiccated, resulting in heat tolerance when smoke was not applied to the surface. The Salmonella concentration was reduced by 4.0 log units despite exposure to a lethal time-temperature combination after the second hour of cooking in an oven set at 104.4°C. Figure 3 shows that the same smoked product’s surface pH did not fall below 6, unlike the pH profile seen in Figure 1. Reducing the oven set point to 82.2°C and increasing the time that the product surface was fully hydrated and exposed to the natural smoke led to a surface pH reduction from 5.85 to 5.01. As expected, differences in Salmonella lethality were observed between the pork loins thermally processed with and without smoke. Acidification of the product surface resulted in greater lethality of Salmonella on the product surface, even when the product surface was not fully hydrated for a lethal time-temperature combination. The inclusion of STPP in the marinade led to a higher pH on the surface of the loins prior to and after smoking.
Conclusion: When no smoke was added during the thermal process, desiccation of the product surface prevented a significant reduction of Salmonella. The addition of smoke to the thermal process resulted in greater lethality of Salmonella while maintaining the wet bulb at sub-lethal temperatures (WB ≤ 48.9°C). The potential buffering capacity of STPP added to the marinade solution will be studied as a secondary treatment related to the buffering of acid components of smoke being absorbed onto the product surface. For processes that lack the mechanism to control relative humidity, the inclusion of smoke during cooking may be critical to achieve lethality of Salmonella on the product surface. Further research in this area must investigate how other factors, such as animal species, additional functional ingredients in marinades, reduced smoke density, or smoke components, may impact the survival of Salmonella on the surface to ensure food safety on these ready-to-eat products.
Funding Source: Meat Institute Foundation, USDA.
Keywords: lethality, smoke, Salmonella, reduction, pork.
161 Application of Clean-Label Antimicrobials for Salmonella Reduction of Raw Pork Bones
Tushar Verma1, Sara LaSuer1, Garrett McCoy1, Lorraine English1, Brandon Goehring1,*, Robert Ames2, and Rodolfo Garza2, 1Research and Development, Corbion, Lenexa, KS 66214, USA, 2Business Development, Corbion, Lenexa, KS 66214, USA *brandon.goehring@corbion.com
Introduction/Objectives: Salmonella contamination poses food safety concerns in many carcass fabrication processes (poultry, beef, and pork). Post-harvest interventions such as Peroxyacetic acid (PAA) and lactic acid sprays are common applications to control Salmonella. However, there is a need for clean-label applications to control Salmonella. Due to the porous nature of animal bones, they can be a difficult location to apply microbial controls to; thus, the attempt to test antimicrobials with different efficacy of oxidizers compared against weak acids. Therefore, the objective of this study was to evaluate the efficacy of clean-label antimicrobial applied to pork bones as a Salmonella control.
Materials and Methods: Pork shoulder and loin chops were purchased from retail stores, and bones were trimmed free of lean. Bones weighing 80–100 g were selected for the Salmonella inoculated study. The selected bones were surface inoculated with a 5-strain cocktail of Salmonella spp. (S. Enteritidis ATCC 13076, S. Enteritidis ATCC 31194, S. Typhimurium ATCC 13311, S. Typhimurium ATCC 14028, and S. Heidelberg ATCC 8326) at a population of 5.0 log CFU/g and left in the bio-safety cabinet for 20 min for bacterial attachment. The inoculated pork bones were assigned to one of 4 treatments: untreated, 200 ppm peracetic acid, 10% Verdad® N100, and Purac® BF S/210.The treatments were delivered using a pressurized spray system set to 20 psi to deliver approximately 3 mL of solution. Samples were left on the drying rack for 5 min at a 45° angle to allow the residual solution to drip. The samples were diluted in a 1:2 ratio with buffered peptone water, stomached, serially diluted, and spread plated on Xylose Lysine Tergitol-4 agar (35°C for 24 h).
Results: Table 1 shows the Salmonella population after the application of treatments. The Purac® BF S/210 showed the lowest Salmonella counts (4.39 log CFU/g) and the largest log reduction (0.70 Log CFU/g) in the study. The application of 200 ppm peracetic acid had the next lowest counts (4.61 Log CFU/g) and log reduction (0.49 Log CFU/g).Verdad® N100 application resulted in a count of 4.75 Log CFU/g, representing a 0.35 Log CFU/g reduction.
Conclusion: The application of clean-label antimicrobials (Purac® BF S/210) to pork bones reduced the Salmonella population by ca. 0.70 log CFU/g. The application of 10% Verdad N100 showed an equivalent Salmonella log reduction to 200 ppm peracetic acid and could be used as a substitute for products needing clean-label alternatives. While the Salmonella reduction was under 1 log CFU/g, processors implementing it as a post-harvest intervention will still benefit from an additive effect to the existing hurdle processes.
Salmonella spp. population in pork bones after spray application
| Treatment | Counts (Log CFU/g) |
|---|---|
| Negative control | 5.10 ± 0.26A |
| 200 ppm peracetic acid | 4.61 ± 0.01B |
| 10% Verdad® N100 | 4.75 ± 0.05AB |
| Purac® BF S/210 | 4.39 ± 0.29B |
| 5% lactic acid | 4.71 ± 0.06AB |
Values presented in the table are mean ± standard deviation (n = 2).
Values with different letters are significantly different at P < 0.05.
Funding Source: Internally funded.
Keywords: Salmonella, pork bones, clean-label, vinegar.
162 Efficacy of Linalool and Nerol for Reducing Salmonella Enteritidis and Campylobacter Jejuni on Chicken Wings
Leya Susan Viju,* Divya Joseph, Varshini Manivannan, Sydney Puchol, Arya Niraula, Chaoyu Zhai, and Kumar Venkitanarayanan, Department of Animal Science, University of Connecticut, Storrs, CT 06269, USA *leya.viju@uconn.edu
Introduction/Objectives: Salmonella Enteritidis (SE) and Campylobacter jejuni (CJ) are major foodborne pathogens causing human outbreaks, primarily linked to the consumption of contaminated poultry and products. These 2 pathogens together contribute to over 70% of foodborne infections and hospitalizations, and 55% of the deaths related to foodborne illnesses in the United States. According to the FAO, poultry is anticipated to contribute to nearly one-third of global meat production by 2050 to meet the needs of an estimated 10 billion consumers. Given the increasing demand for poultry, ensuring the microbiological safety of poultry meat is critical. Existing control measures for reducing SE on chicken carcasses primarily involve the application of chemical antimicrobials, including chlorine-based compounds and organic acids. In this study, the efficacy of 2 GRAS (generally recognized as safe) status phytochemicals, namely linalool and nerol, for reducing SE and CJ on chicken wings was determined.
Materials and Methods: Chicken wings with intact skin were inoculated with a four-strain mixture of nalidixic acid (NA) resistant SE/CJ (8 log10 CFU/wing) and subjected to dipping in sterile deionized water with or without linalool (1%, 1.5%, 2% v/v), nerol (1%, 1.5%, 2% v/v) or chlorine (200 ppm v/v, industry control) for 30 min at 4oC. The washing/intervention experiment was replicated 5 times with 2 wings/treatment (N = 90). The surviving SE and CJ on wings and wash water were determined by both enumeration and enrichment. The treated samples were homogenized in neutralizing broth for 60 s, and aliquots were plated directly or after 10-fold serial dilutions on Xylosine lysine deoxycholate + Nalidixic acid (XLD+NA) agar and Campylobacter rapid agar for enumeration of SE and CJ, respectively. To determine the effect of linalool and nerol on the chicken wing skin color, a colorimeter analysis was performed. Chicken wing color was measured using a chroma meter (MiniScan XE Plus, Hunter Associates Laboratory, Inc., Reston, VA, USA), and 3 readings were taken on the 2 sides of each sample. The colorimeter analysis experiment was replicated twice with 6 wings/treatment (N = 84). The data were analyzed by ANOVA using GraphPad Prism, with significance tested at P < 0.05.
Results: Approximately 6 log10 CFU/mL of SE and 6.9 log10 CFU/mL of CJ were recovered from inoculated and unwashed wings. Deionized water and chlorine control decreased SE/CJ on wings by 0.5–1 log10 CFU/mL and 1 log10 CFU/mL, respectively. Linalool and nerol effectively reduced SE and CJ on wings compared to controls (P < 0.05). Linalool and nerol at 1 % decreased SE and CJ counts by ∼ 1 log10 CFU/mL and ∼ 2 log10 CFU/mL, respectively. Linalool at 1.5 and 2% decreased SE and CJ counts by ∼ 3 log10 CFU/mL and ∼ 3.5 log10 CFU/mL, respectively. Nerol at 1.5 and 2% reduced SE and CJ counts by ∼ 2.5 log10 CFU/mL and ∼ 3.2 log10 CFU/mL, respectively. The treatments, except 1% nerol, decreased SE and CJ to undetectable levels in the wash water as revealed by direct plating and enrichment (P < 0.05). The wash water from sterile deionized water control contained 5.7 log10 CFU/mL of surviving SE and 6.5 log10 CFU/mL of CJ. On the other hand, the chlorine-controlled water yielded 4.9 log10 CFU/mL of SE and 5.3 log10 CFU/mL of CJ. No significant differences were observed in L*, a*, and b* values between linalool/nerol-treated chicken wings and controls (P > 0.05).
Conclusion: This study suggests that linalool and nerol could potentially be used to reduce SE/CJ on chicken wings. Future studies on the effect of linalool and nerol treatments on the sensory attributes of chicken wings will be undertaken.
Funding Source: USDA-AFRI Sustainable Agricultural Systems Grant: 2020-69012-31823.
Keywords: poultry, Salmonella Enteritidis, Campylobacter jejuni, linalool, nerol.
163 The Impact of Dynamic Temperature Conditions and Clean-Label Antimicrobials on the Growth of Listeria monocytogenes in Uncured Deli Turkey
Sara LaSuer1,*, Juliana Lane Paixao dos Santos1, Tushar Verma1, Andrew Dillon1, Brandon Goehring1, Garrett McCoy1, Robert Ames2, and Rodolfo Garza2, 1Research and Development, Corbion, Lenexa, KS 66214, USA, 2Business Development, Corbion, Lenexa, KS 66214, USA *sara.lasuer@corbion.com
Introduction/Objectives: This study aims to assess the growth of Listeria monocytogenes in RTE uncured deli turkey exposed to dynamic temperatures that are representative of the changes that are typical in the food distribution chain. During initial processing, the meat may be subjected to rapid cooling to inhibit microbial proliferation. However, subsequent handling, transportation, and storage phases can introduce variations and temporary increases in temperature. The addition of clean-label antimicrobials can reduce the risk of L. monocytogenes outgrowth. In addition to dynamic temperature profiles, the efficacy of 2 clean-label antimicrobials, Verdad® Powder N30 (Cultured Sugar) and Verdad® Powder N6 (Dry Vinegar), was evaluated alongside no antimicrobial (negative control).
Materials and Methods: Four different dynamic temperature profiles were tested, and within each cooling profile, there were 3 treatments; Temperature Profile A (TPA) represents a gradual cooling sequence: 9°C for 3 d, 7°C for 4 d, followed by 4°C for 63 d. Temperature Profile B (TPB) is a rapid cooling sequence: 15°C for 1 d, 12°C for 1 d, 8°C for 1 d, 6°C for 1 d, and 4°C for 68 d. Temperature Profile C (TPC) represents deep chill and temperature abuse: 2°C for 7 days, then 15°C for 1 day, followed by 4°C for 62 d. Temperature Profile D (TPD) maintains a constant temperature of 7°C. Uncured, ground, and formed turkey breasts were produced without antimicrobial (pH 6.31, moisture content 74.99%, water activity 0.99), or with either 0.5% w/w cultured sugar (pH 6.27, moisture content 75.26%, water activity 0.98) or 0.5% w/w dry vinegar (pH 6.29, moisture content 74.55%, water activity 0.98). Turkey breast was sliced into 25-g samples, and either inoculated with a 5-strain L. monocytogenes cocktail or left uninoculated (native microflora analysis). Sliced samples were then vacuum packaged and stored at 1 of 4 temperature profiles. Upon sampling, uninoculated slices were evaluated for pH change and/or outgrowth of background flora, and the inoculated product was sampled for L. monocytogenes counts. Turkey was transferred to a sterile stomacher bag to which a 1:2 dilution of buffered peptone water was added. The sample was stomached (200 rpm; 30 s), serially diluted, and spread plated onto Modified Oxford agar (35°C incubation for 48 h) to enumerate L. monocytogenes and de Man, Rogosa, and Sharpe agar (30°C incubation for 48 h) to enumerate background lactic acid bacteria. Time to 1-log and 2-log outgrowth (TTG1 and TTG2, respectively) and statistical differences in growth rates between temperature profiles were evaluated.
Results: The inoculation level of L. monocytogenes was ca. 3 log CFU/g for all samples. The growth rate, TTG1, and TTG2 were affected by the dynamic temperature profile and the inclusion of antimicrobial treatments. The growth rates for all samples treated with either dry vinegar or cultured sugar were significantly lower (P < 0.01) than those of the negative control samples, regardless of temperature profile. When like treatments were compared across different temperature profiles, the growth rate was significantly different (P < 0.05) for TPD. The longest TTG1 was TPC, followed by TPD, TPA, and TPB for all treatments. Lactic acid bacteria outgrowth was not observed in treated or control samples, nor was there a change in product pH outside normal fluctuation. Therefore, control of L. monocytogenes was achieved by antimicrobial addition, resulting in no outgrowth of native microflora nor changes in product pH.
Conclusion: The temperature changes RTE deli turkey is exposed to as it moves through the food chain have a tangible impact on the outgrowth of L. monocytogenes. This underscores the need for strong L. monocytogenes protection, as temperature abuse often happens during transit and storage, beyond the control of the manufacturer. Verdad® Powder N6 and Verdad® Powder N30 enhance control of L. monocytogenes and improve food safety for RTE deli turkey subjected to temperature abuse by extending the time to 1-log outgrowth by more than 3 times that of control.
Growth rates and time to 1-log and 2-log outgrowth of L. monocytgenes in deli turkey stored under dynamic temperatures
| Treatment | Temperature Profile | Growth Rate (1/D) | Ttg1 (D) | Ttg2 (D) |
|---|---|---|---|---|
| Negative control | TPA | 0.437 ± 0.038A | 3 | 5 |
| TPB | 0.536 ± 0.250A | 1 | 2 | |
| TPC | 0.327 ± 0.013A | 7 | 10 | |
| TPD | 0.443 ± 0.027A | 5 | 7 | |
| 0.5% cultured sugar | TPA | 0.112 ± 0.002A | 9 | 18 |
| TPB | 0.102 ± 0.001A | 6 | 14 | |
| TPC | 0.099 ± 0.010A | 21 | 34 | |
| TPD | 0.218 ± 0.016B | 11 | 16 | |
| 0.5% dry vinegar | TPA | 0.099 ± 0.004A | 14 | 27 |
| TPB | 0.085 ± 0.011A | 11 | 25 | |
| TPC | 0.081 ± 0.008A | 23 | 32 | |
| TPD | 0.146 ± 0.007B | 15 | 24 |
Within a treatment, temperature profiles that do not share a letter are significantly (P < 0.05) different.
TPA: 9°C (3d) → 7°C (4d) → 4°C (63d)
TPB: 15°C (1d) → 12°C (1d) → 8°C (1d) → 6°C (1d) → 4°C (68d)
TPC: 2°C (7d) → 15°C (1d) → 4°C (62d)
TPD: 7°C fixed
Funding Source: Internally funded.
Keywords: Listeria, dynamic temperature, clean-label, turkey.
164 Inhibition of Spoilage Microorganisms Isolated From Fresh Meat Using Clean-Label Antimicrobials
Jyoti Aryal,* Nicolette Hall, Joyjit Saha, Blaine Jenschke, Renetta Cooper, and Christin Kohloff, Kerry Ingredients and Flavours, Beloit, WI 53511, USA *jyoti.j.aryal@kerry.com
Introduction/Objectives: Lactic acid bacteria (LAB) are the predominant spoilage microorganisms in anaerobically packaged fresh meat. To mitigate this issue and enhance the shelf life of fresh meat, the market is increasingly shifting towards the use of clean-label solutions. Buffered vinegar and vinegar-fermentate systems represent such alternatives, exhibiting antimicrobial activity primarily through undissociated acetic acid and bioactive metabolites. The objective of this study is to examine the antimicrobial effectiveness of natural, clean-label agents against spoilage bacteria isolated from fresh meat systems.
Materials and Methods: Antimicrobial solutions were prepared in deMan, Rogosa, and Sharpe broth, including a control with no antimicrobial, 0.6% market control (dry vinegar), 0.6% and 0.8% dry vinegar, 1.5% sodium-potassium-buffered liquid vinegar, 1.5% potassium-buffered vinegar, and 1.5–3.5% vinegar-fermentate system. The pH of the solutions was adjusted to 6 and aliquoted into 100-well plates inoculated with lactic acid bacteria (6–7log CFU/mL) isolated from fresh meat. The plates were incubated aerobically at 30°C using Bioscreen-C Pro for 7 d. Growth curves (600 nm) were analyzed using the modified Gompertz equation to determine maximum growth rate (μmax; d-1) and lag time (days, d). The minimum inhibitory concentration (MIC) was defined as the lowest concentration at which no bacterial growth occurred. The experiments were performed in duplicate, and the data were analyzed using one-way ANOVA (P < 0.05).
Results: All tested antimicrobials demonstrated significant inhibition (P < 0.05) compared to the no antimicrobial control. The vinegar-fermentate systems, with MIC ranging from 1.5% to 3.5%, completely inhibited the growth of lactic acid bacteria. For treatments with liquid and dry vinegar alone, there was a notable increase in the lag phase duration and a significant reduction in the growth rate of lactic acid bacteria (μmax ranging from 0.4 to 0.8 d-1) compared to the control group, which exhibited a growth rate (μmax) of 1.04 d-1 and a lag phase of 1 d.
Conclusion: This study demonstrated the potential of utilizing vinegar-ferment systems to achieve inhibition of spoilage lactic acid bacteria from the fresh meat.
Growth rates and lag times for LAB isolated from fresh meat
| Treatments | Average Growth Rate (D-1); Average Lag Time (D) |
|---|---|
| No antimicrobial control | 1.04a; 1.00 |
| 0.6% dry vinegar market control | 0.93a; 1.09 |
| 0.6% dry vinegar | 0.80b; 1.10 |
| 0.8% dry vinegar | 0.74b; 1.10 |
| 1.5% sodium-potassium buffered liquid vinegar | 0.70b; 1.10 |
| 1.5% potassium buffered vinegar | 0.48c; 1.14 |
| 1.5% vinegar-fermentate system | No growth |
| 2.5% vinegar-fermentate system | No growth |
| 3.5% vinegar-fermentate system | No growth |
Different letters on average growth rate represent a significant difference (P < 0.05).
Funding Source: Kerry.
Keywords: lactic acid bacteria, clean label.
165 Microbial Contamination in Meat Processing Facility Cleaning Tools
Jonah Dunn,* Isabella Gafanha, and Aeriel Belk, Auburn University, Auburn, AL 36849, USA *jkd0042@auburn.edu
Introduction/Objectives: In meat processing facilities, cleaning equipment and tools are relied upon daily to remove waste and break apart microbial biofilms to facilitate effective sanitation. However, it is possible that these tools could harbor and spread bacteria onto the surfaces being cleaned instead. As this topic is understudied in meat and food science applications, the objective of this research is to assess the level of microbial contamination and microbiome of cleaning tools used in meat processing facilities, to determine if there are any potential risks to food safety. Specifically, this study sought to determine the microbial load and microbiome of cleaning tools, factors that have an impact on the microbiome, and the likelihood of microbial transfer between cleaning tools and contact surfaces. The hypothesis was that the microbial contamination level of certain cleaning tools, such as scouring pads, would be high, and as a result, these may transfer microbes to surfaces.
Materials and Methods: To investigate these objectives, a longitudinal factorial experiment was designed to collect samples (n = 35) from cleaning tools including scouring pads (n = 9), water in cleaning tool storage buckets (n = 5), hoses (n = 9), and contact surfaces (n= 12) weekly using Whirl-Pak® sponges pre-moistened with a peptone buffer and dry BBL™sterile swabs for a 3-wk period. The collection timepoints were the mornings after cleaning and sanitation, before any products were introduced to the facilities. These collections were completed once a week for 3 wks. Microbial counts were measured after serial dilution using selective/differential media. The samples were prepared by stomaching for 60 s with a peptone buffer. The plating media utilized were TSA for aerobic plate counts, E. coli CompactDry™ plates for E. coli, Salmonella CompactDry™ plates for Salmonella, and Baird-Parker media for Staphylococcus aureus. Then, DNA was extracted and purified utilizing a Zymo Research Quick-DNA Mini Prep kit, and was sent to Novogene for amplicon sequencing, utilizing the Illumina NovaSeq platform. Then, the microbial 16S rRNA amplicons were analyzed using QIIME ver.2024.2. The sequences were denoized, and the taxonomic classification was done utilizing the SILVA feature-classifier plugin with a pretrained classifier. Nonmicrobial DNA (chloroplast and mitochondrial) was filtered from the dataset. Alpha diversities (observed features, Shannon’s, and Faith’s diversity) were statistically compared using a Kruskal-Wallis test. The PCoA analysis was performed through QIIME 2 and Emperor.
Results: There was a significant interaction between sample type and week for APCs, indicating that different tools were differentially favorable environments for growth. The APCs were highest (P < 0.05) in the scouring pads used at the processing facilities, nearing a point that could indicate unsanitary conditions for food at 107 log CFU/mL. The scouring pad sample’s APC log increased (P < 0.05) as the weeks progressed. There was little growth of E. coli (3/35 Samples) and Salmonella spp. (2/35) in most samples. Trace amounts of E.coli, up to 1.5 log CFU/mL, were found only in the scouring pads and on one of the contact surfaces tested. The only Salmonella spp. detected was found in the water of the cleaning tool storage buckets, though it is unclear how it contaminated this location without being identified in scouring pads. S. aureus was found within 10/35 of the samples, as high as 1.8 log CFU/mL. From the analysis of the microbiome sequencing data, which included all of the samples that were taken, there was a significant interaction between sample location and diversity, when analyzing Shannon’s entropy, of the microbial communities within the samples. The scouring pads that were sampled had the highest diversity compared to the other sample locations (P < 0.05), further indicating that different tools were differentially favorable for microbial growth. Pseudomonas spp., a dominant spoilage organism, was the most abundant species detected in all of the samples analyzed, ranging from 10–99% abundance. Following Pseudomonas spp., Acinetobacter spp., identified in 27/35 samples at an abundance as high as 48%, and Psychrobacter spp., identified in 26/35 samples at an abundance as high as 41% were also prominent species identified from the analysis.
Conclusion: Cleaning tools in meat processing facilities can harbor a high level of microbial contamination, which has the potential to impact food safety and quality. It was concluded through data collection and microbiome analysis that the scouring pads used to clean meat processing facilities are more favorable for microbial growth, compared to other cleaning tools used. Pseudomonas spp. was abundant in all of the samples. Because of Pseudomonas spp. being a broad species, this could potentially pose an issue for food safety as well as food spoilage. As the microbiome analysis of this study is still ongoing, further analysis will provide more evidence as to the importance of regularly replacing the cleaning tools used in meat processing facilities. However, the substantial analysis already conducted for this study provides a good foundation for this conclusion.
Funding Source: This research was funded by Auburn University.
Keywords: microbiome, sanitation, safety, microbiology, 16S.
166 Utilization of Multispectral Imaging Paired With Machine Learning for Carcass Condemnation Detection Within Poultry Processing Facilities
M. Telah Black1*, Luis Guzman1, Aftab Siddique2, Katherine Sierra1, Vianca Tashiguano1, Laura Garner1, Nicholas Mackinnon3, Stanislov Sokolov3, Fartash Vasefi3, Jianwei Qin4, Diane Chan4, Insuck Baek4, Kevin Chao4, Moon Kim4, and Amit Morey1, 1Auburn University, Auburn, AL 36849, USA, 2Fort Valley State University, Fort Valley, GA 31030, USA, 3SafetySpect, Inc., Sherman Oaks, CA 1423, USA, 4USDA-ARS, Beltsville, MD 20705, USA *mtb0042@auburn.edu
Introduction/Objectives: Receiving wholesome poultry products is a primary concern for consumers, particularly regarding the risk of foodborne illnesses caused by contaminated products. To minimize carcass condemnations from going unnoticed within processing facilities, the USDA-FSIS mandates visual inspection of each chicken carcass by trained processing plant personnel. However, given the high-speed processing lines, operating at 145–170 birds per min, thorough visual inspection is challenging to maintain. The integration of a real-time fluorescent spectral imaging system offers a promising solution for improving carcass inspection by rapidly identifying defects such as sep-tox and fecal contamination, both subject to zero-tolerance policies enforced by the USDA-FSIS.
Materials and Methods: This technology, known as the CSI-D+ system, was evaluated for its capability to detect condemned carcasses based on 2 exposure times for fluorescence parameters. The system is configured with optimized camera exposure settings to assess the fluorescence of photosensitive cells and classify carcasses requiring reprocessing or disposal. Images were collected in an ambient-light-free chamber to minimize background noise within the images. Chicken carcasses were attached by a shackle within the chamber, with the breast facing forward and approximately 30.48 cm from the camera’s view. Lab setting sep-tox study compared broiler carcasses deemed sep-tox (n =195) and normal carcasses (n = 200) for classification. For the fecal contamination study, contaminants from the gastrointestinal tract (proventriculus, small intestine, large intestine, and ceca) were placed on the breast of processed broilers (n = 404) in small and large-sized application points for imaging to evaluate classification differences in contamination sources. An additional study focusing on invisible fecal contamination classification was conducted. To provide a better understanding and validation of the relevance of invisible fecal contamination, broiler carcasses (n = 100) exposed to inoculated fecal contamination underwent microbial analysis. Inoculation of 105 CFU/g of 35μg nalidixic acid-resistant Salmonella Typhimurium was placed on carcass breasts for imaging, and swabbing of inoculation sites was performed before inoculation, during inoculation, and after rinsing of the carcass with a sterile swab to determine Salmonella presence. Swab samples (n = 300) were placed in Brain Heart Infusion broth and incubated at 37°C for 24 h. Real-time PCR analysis was conducted the next day on swab samples. Processing plant experimentations were additionally conducted for sep-tox (n = 111) and invisible fecal contaminated carcasses (n = 57). Additional real-time PCR analysis of swab samples (n = 114), swabbed during contamination and after antimicrobial washing, of fecal contaminated carcasses was performed for the absence or presence of Salmonella in the processing plant experiment. Captured images were used for supervised image analysis for classification against commercially approved broiler carcasses. Unsupervised machine learning algorithms were performed only on sep-tox images to determine varying degrees of illness.
Results: Experimental results demonstrated that sep-tox carcasses were correctly classified at 100% accuracy when illuminated with LED light. Furthermore, unsupervised image analysis was able to distinguish variations of sep-tox, highlighting the system’s potential for automated classification. In terms of fecal contamination, supervised image analysis successfully identified contamination from distinct sections of the digestive tract, including the ceca (46%), colon (39%), proventriculus (62%), and small intestine (59.5%), when applied to the breast of the chicken carcasses. The classification accuracy for invisible fecal contamination was further evaluated with Salmonella Typhimurium-inoculated carcasses (n = 100) rinsed with deionized water, achieving a 97.80% accuracy rate when distinguishing rinsed carcass samples from noninoculated and fecal-inoculated carcass samples. Rapid PCR assay analysis of invisible fecally contaminated carcasses revealed Salmonella presence in 97.14% of tested swab samples, which remained prominent where contamination was initially introduced, succeeding rinsing. Processing plant experiment PCR results resulted in 11 (9.65%) of swab samples being positive for Salmonella before washing. Out of the 11 swab samples found positive for contamination, 3 swab samples (27.27%) remained positive after washing with an antimicrobial solution.
Conclusion: These findings suggest that spectral imaging technology offers a viable method for enhancing food safety in poultry processing plants by reducing the risk of contamination and improving the efficiency of carcass inspection compared to traditional visual assessment. By integrating spectral imaging into processing lines, poultry processing facilities can strengthen contamination detection and mitigate foodborne illness risks, ultimately improving public health outcomes.
Funding Source: UDSA-ARS.
Keywords: spectral imaging, carcass condemnations, data analytics.
167 A Comprehensive Culturomics Approach to Recover and Characterize Catfish Spoilage Bacteria During Refrigerated Storage
Ulunna Rita Ugoh1*, Manhong Wang1, Linan Jia1, Xin Ye1, Elianna Walters1, Li Zhang1, Xue Zhang2, Peixin Fan2, and Chuan-Yu Hsu3, 1Department of Poultry Science, Mississippi State University, Mississippi State, MS 39762, USA, 2Department of Animal and Dairy Science, Mississippi State University, Mississippi State, MS 39762, USA, 3Institute for Genomic, Biocomputing, and Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA *uru1@msstate.edu
Introduction/Objectives: Catfish is a leading aquaculture product in the United States due to its nutritional value and economic viability. However, microbial spoilage during refrigerated storage significantly reduces shelf life, affecting consumer acceptance and profitability. Traditional microbiological analyses, such as aerobic plate counts (APC), often fail to capture the diversity and roles of spoilage-associated bacterial communities. This study employs a comprehensive culturomics strategy integrated with nanopore-based sequencing to identify and characterize the microbial dynamics involved in catfish spoilage. The primary objective is to profile spoilage-associated bacterial communities using nanopore 16S rRNA amplicon sequencing and culture-based methods to improve the understanding of microbial succession and guide future control strategies.
Materials and Methods: Fresh, market-sized catfish fillets were packaged in individual Styrofoam trays, covered with food-grade plastic film, and stored at 4°C in a display refrigerator. Three fillets were randomly selected from different refrigerator shelves and analyzed on days 0, 3, and 6. Spoilage progression was assessed via a 7-point odor and appearance scale and pH measurements. Samples were homogenized in a 20-μm filter bag. Homogenization was selected over swabbing to maximize microbial recovery from the entire fillet surface and interior, while filtration minimized host DNA interference, The homogenate was plated on selective and differential media, including MacConkey agar (OXOID, REF CM0115), Tryptic Soy Agar (BD, Difco™), Columbia Blood Agar (OXOID, REF CM0331) with 5% sheep blood, Brain Heart Infusion Agar (BD, Difco™), and M9 Minimal Medium salts (BD, Difco™) Agar. Media were used with and without colistin (5μg/mL) or gentamicin (10 μg/mL) to recover spoilage bacteria that might otherwise be missed in antibiotic-free cultures. Microbial colonies from each media type were collected and washed with phosphate-buffered saline containing 2% Tween 20 and pelleted, followed by genomic DNA extraction. The full-length 16S rRNA gene was amplified from each sample using Oxford Nanopore’s 16S Barcoding Kit (Oxford Nanopore Technologies, Oxford, UK). Amplicons pooled was purified with AMPure XP beads (Beckman Coulter, Brea, CA, USA), quantified via Qubit (Invitrogen, Thermofisher Scientific, Waltham, MA, USA), ligated with the rapid adapters (Oxford Nanopore Technologies, Oxford, UK), and sequenced on a GridION platform (Oxford Nanopore Technologies, Oxford, UK) using the Flongle flow cell (Oxford Nanopore Technologies, Oxford, UK). For culture-independent analysis, bacterial DNA was extracted directly from homogenized fillet washes, and full-length 16S rRNA (V1–V9) regions were amplified using primers 27F and 1492R. After PCR product cleanup and quantification, each sample was barcoded using the Nanopore Native Barcoding Expansion 96 Kit. Sequencing data were analyzed using EPI2ME and MicrobiomeAnalyst. Alpha diversity was evaluated with Shannon indices; beta diversity was assessed using the Bray-Curtis distance and Jaccard indices. Group differences were evaluated using ANOVA and PERMANOVA with significance at P < 0.05.
Results: Alpha diversity increased from Day 0 to Day 6 in culture-independent samples. Chao1 and Shannon indices showed a decline in species richness and evenness over time, although differences between Day 0 and Day 3 (P = 0.26) and between Day 3 and Day 6 (P = 0.45) were not statistically significant. Beta diversity analyses revealed distinct community structuring across storage days, with Bray-Curtis (P = 0.02) and Jaccard (P = 0.04) distances confirming significant shifts in microbial composition. Among the spoilage species identified in this study, Aeromonas sobria, Shewanella baltica, Pseudomonas fragi, and P. psychrophila were consistently dominant, while Vagococcus salmoninarum emerged during the late storage phase. Culture-dependent sequencing data confirmed these findings and revealed additional taxa such as Hafnia paralvei, Hafnia alvei, Obesumbacterium proteus, and Aeromonas salmonicida. Selective media significantly influenced microbial recovery (P = 0.0002 for the Chao1 index; P = 0.001 for the Bray-Curtis distance). Media supplemented with colistin (MacConkey, Tryptic Soy) recovered a broader range of gram-negative bacteria. In contrast, gentamicin-supplemented media enabled the recovery of additional spoilage-associated taxa such as Aeromonas dhakensis, Vibrio metschnikovii, and Yersinia enterocolitica, which were not detected on colistin-supplemented media. It enriched Hafnia alvei, Aeromonas salmonicida, and Obesumbacterium proteus, highlighting its value in profiling antibiotic-tolerant and niche taxa associated with catfish spoilage. Comparisons revealed that antibiotic-free media allowed the recovery of several colistin- or gentamicin-sensitive taxa, such as Acinetobacter johnsonii and Aeromonas caviae, while antibiotic-supplemented media enriched for resistant or less competitive organisms, including Shewanella arctica and Aeromonas australiensis, confirming that both media types capture distinct components of the spoilage microbiota. Culture-independent sequencing revealed greater microbial richness and detected at least 3 dominant spoilage taxa less likely to grow on standard media, including Pseudomonas psychrophila, Shewanella baltica, and Vagococcus salmoninarum. Overlapping taxa identified by both approaches (Pseudomonas fragi, Aeromonas sobria, Hafnia alvei) confirmed their spoilage relevance. These results demonstrate that combining culture-dependent methods (culturomics) with culture-independent DNA sequencing provides a more comprehensive characterization of the spoilage microbial community than either approach alone.
Conclusion: This study provides a comprehensive snapshot of microbial succession in refrigerated catfish fillets. Culture-independent 16S rRNA Nanopore sequencing offered broad taxonomic resolution and captured low-abundance taxa, while culturomics enabled the isolation of spoilage-relevant and antibiotic-tolerant bacteria. Statistical comparisons confirmed that media supplemented with colistin or gentamicin significantly influenced microbial recovery, yielding distinct bacterial communities compared to non-supplemented media. These findings validate the use of targeted, antibiotic-enriched media in culturomics to uncover resistant and niche spoilage organisms often missed by conventional methods. Aeromonas sobria, Pseudomonas fragi, and Hafnia alvei emerged as consistent spoilage indicators across both approaches. The integration of culture-based and sequencing methods offers a robust framework for monitoring microbial shifts during spoilage. Furthermore, culture-dependent approaches support the recovery of live isolates for downstream analysis of metabolic traits and spoilage mechanisms, ultimately guiding shelf life extension strategies and improving food safety in aquaculture products.
Funding Source: This publication is a contribution of the Mississippi Agricultural and Forestry Experiment Station. This material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, Hatch project under accession number MIS-322430/NE2442. Additional funding was provided by the U.S. Department of Agriculture, Agricultural Research Service, number USDA ARS 58-6066-2-022.
Keywords: culturomics, catfish, spoilage, nanopore sequencing.
168 Salmonella Contamination From Farm to Abattoir: Quantification in Finishing and Holding Pens Across 4 Swine Operations
Ariana D. Roldan1,*, Reagan L. Brashears1, Alejandra Abrego2, Markus F. Miller1, Marcos X. Sánchez-Plata1, Sara E. Gragg2, and Mindy M. Brashears1, 1Texas Tech University, Lubbock, TX 79409, USA, 2University of Wisconsin-Madison, Madison, WI 53706, USA *aroldang@ttu.edu
Introduction/Objectives: Reducing Salmonella in pork requires a better understanding of environmental contamination at the farm and abattoir. While preharvest efforts focus on live animals, less is known about contamination in holding pens before harvest. This study quantified Salmonella in finishing pens on the farm and subsequently evaluated lairage pens at harvest that held pigs enrolled in the study and nonstudy pens at the abattoir to assess variability across locations and farms. The objective of this study was to evaluate Salmonella contamination from the farm and abattoir environments of groups of pigs enrolled in the study.
Materials and Methods: Environmental samples were collected from 4 commercial swine groups (A, B, C, D) to quantify Salmonella in finishing pens (farm) and in study and nonstudy lairage pens (abattoir). Pigs from each group will be referred to by their farm designation (e.g., Group A). For each group, finishing pens (n = 10, N = 40) and 3 study pens (n = 6, N = 24) were sampled to reflect the same group of pigs, while 9 nonstudy pens (n = 18, N = 54; not sampled for C) were sampled to represent the broader lairage environment present on the day of sampling. One pair of boot swabs was used per pen, and each individual swab was processed and analyzed separately. Pen surfaces were sampled using pre-moistened skim milk boot swabs (EnviroBootie™, Hardy Diagnostics). Personnel wore clean plastic boot covers (VWR®) over standard boots. A sterile boot swab was placed over each boot cover, and pen floors were walked in a perimeter and diagonal “Z” pattern to ensure surface coverage. After sampling, each boot swab was removed and placed into a separate sterile 24-oz Whirl-Pak™ filter bag. Finishing pen samples (n=40; 10 per farm from 5 pens) were collected for each group at the time of load out using the same protocol. Samples were shipped to the International Center for Food Industry Excellence at Texas Tech University. Samples were enriched and analyzed using the BAX® System Real-Time PCR assay (Hygiena™) for Salmonella quantification (SalQuant®), performed after 8 h of incubation, and detection was conducted after 24 h. A one-way ANOVA was conducted separately for each sample type to evaluate group-level differences in Salmonella quantification using the R software. When significant (P < 0.05), Tukey’s Honest Significant Difference (HSD) test was applied for post hoc pairwise comparisons between groups of pigs.
Results: A total of 118 samples were collected to quantify Salmonella in finishing (N = 40), study (N = 24), and nonstudy pens (N = 54) associated with 4 commercial swine groups. In finishing pens, no significant differences were observed among groups of pigs (P > 0.05). Prevalence ranged from 0% (Group B) to 60% (Groups C and D), with low contamination levels overall (mean ≤ 0.17 Log CFU/mL). All pairwise comparisons were non-significant. Study lairage pens (lairage pens where pigs from an individual group were held) harbored significant differences in Salmonella (P < 0.05). All groups were held within pens contaminated with Salmonella (100% Salmonella prevalence). Groups A and B were held in pens harboring higher contamination (2.08 and 1.59 Log CFU/mL), while groups C and D were held in pens with lower levels (0.15 and 0.24 Log CFU/mL). Although all groups were compared, the environmental contamination in pens that held groups A and B was statistically different from groups C and D study pen contamination levels. No significant differences were observed between A and B (P > 0.05) or between C and D (P > 0.05). Nonstudy pens (sampled to represent general lairage conditions) also differed significantly in Salmonella levels across sampling days for groups A, B, D. The highest contamination was observed during the sampling event for Group D (100% prevalence; 1.88 Log CFU/), while significantly lower levels were detected during sampling for Groups A and B (83.3% and 88.9% prevalence; 0.94 and 0.49 Log CFU/mL, respectively). These findings indicate that, when compared to the farm, lairage environments exhibited greater variability in Salmonella presence and concentration. Study pens reflected environmental conditions during holding for each group, and because the pens were sampled immediately after study groups of pigs exited for harvest, the contamination would also represent Salmonella shedding from pigs on study, the pen environment, or both. Nonstudy pens revealed background lairage contamination is likely influenced by factors such as holding time or sanitation, and patterns suggest greater variability in abattoir environments than on-farm.
Conclusion: These findings highlight the need for targeted interventions beyond the farm, particularly in transport and lairage, where contamination can increase before slaughter. Identifying high-risk locations and farm contributions can help prioritize mitigation strategies to improve food safety in pork production. Future studies should evaluate lairage conditions before and after pig occupancy to better understand the direction of contamination.
Prevalence and mean Salmonella concentrations (Log CFU/mL) according to each group of pigs and sample type
| Sample Type | Group | Prevalence (%) | Mean Log CFU/mL |
|---|---|---|---|
| Finishing pens (N = 40) | A | 20.00 | 0.17a |
| B | 0.00 | 0.00a | |
| C | 60.00 | 0.09a | |
| D | 60.00 | 0.07a | |
| Study pens (N = 24) | A | 100.00 | 2.08b |
| B | 100.00 | 1.15b | |
| C | 100.00 | 0.15a | |
| D | 100.00 | 0.24a | |
| Nonstudy pens* (N = 54) | A | 83.30 | 0.94a |
| B | 88.90 | 0.49a | |
| D | 100.00 | 1.88b |
Different letters indicate significant differences (P < 0.05; Tukey’s mean separation).
*Represents general lairage contamination on the day of sampling each group of pigs.
Funding Source: Texas Tech University.
Keywords: BAX®, lymph nodes, pork, Salmonella.
169 Impact of the Lamb Processing Environment on Aerobic Mesophiles Levels in Fabricated Products
Sophia A. Fuhrmann, Mack P. Myer, Cody L. Gifford, and Dana K. Dittoe*, Animal Science, University of Wyoming, Laramie, WY 82072, USA *ddittoe@uwyo.edu
Introduction/Objectives: Between 1998 and 2022, the CDC reported 24 outbreaks associated with lamb and lamb products. As such, there has been increasing concern over the prevalence of microorganisms in the processing environment and their contribution to final product safety and quality. Therefore, there is an enhanced focus on preoperational cleaning and inspections of meat contact surfaces and environmental locations. However, a paucity of information exists regarding the contribution of the fabrication and processing environment to the final lamb product microbial load. Therefore, this study aimed to biomap aerobic mesophiles present in the processing environmental landscape and subsequent lamb products over 3 independent studies to determine the influence of the processing environment on final product safety and quality. This study hypothesizes that the most growth will occur on the lamb trim and the equipment included in the grinding processes due to the amount of manipulation the meat goes through to become trim.
Materials and Methods: Environmental swabs (100 cm2) were taken before lamb fabrication in the University of Wyoming Meat Laboratory using Whirl-Pak® Polysponge™ (10 mL HiCap™ Neutralizing Broth) (N = 84). Cooler and fabrication room drains (n = 8), cutting tables (n = 3), dip tank (n = 1), bandsaw (n = 1), vacuum packager (n = 1), and of all whole lamb carcasses set for fabrication on the leg, midline, foreshank, and neck were swabbed (T1: n = 14; T2: n = 10; T3: n = 4). Swabs were collected on 3 independent fabrication days (3 trials) during commercial operation. In trial 1 (T1 final product (ground lamb), microbial load, in addition to environmental monitoring, was evaluated. As such, the grinder (n = 1) and stuffer (n = 1) were swabbed, and random samples of trim (n = 3) and grind (n = 3) were collected during T1. No ground or trim product was evaluated during trial 2 (T2); however, carcass (n = 10) and environmental swabs (n = 14) were collected. In trial 3 (T3), trim (n = 4) and rib chop samples (n = 4) were taken from each lamb carcass in addition to carcass (n = 4) and environmental samples (n = 18). During T3, a rib chop was taken from each carcass and held at 4°C for 13 d before being assessed for aerobic mesophiles. All lamb trim, ground, and rib chop samples were weighed and homogenized with buffered peptone water (BPW) in a Filter Whirl-Pak Bag for 2 min at 200 rpm. Samples were diluted (1:10) with 0.1% BPW. In T1 and T2, all samples were dot-plated (10 mL) on tryptic soy agar (TSA) in duplicate. All samples from T3 were spread plated on TSA (100 mL) in duplicate. All plates were incubated aerobically at 37°C for 24 h for aerobic mesophiles. Counts were converted to CFU/mL and Log10 transformed. Counts below the enumerable range were recorded as the limit of detection. Individual trials were analyzed using one-way ANOVA. Pairwise differences were determined using Tukey’s HSD, with significance determined at P < 0.05.
Results: Trials were independently analyzed due to the variation in samples collected. There was an effect of sample types collected across all 3 trials (P < 0.05). In T1, the level of aerobic mesophiles was higher in ground lamb than on the surface of the fabrication cutting tables and whole lamb carcasses (5.02, 2.97, and 2.91 Log CFU/mL). Also, the drains in the fabrication room had higher levels of aerobic mesophiles than whole lamb carcasses (4.67 and 2.91 Log CFU/mL). The cooler drains, where the carcasses were aged, were not statistically different than the fabrication drains but had 2 Log CFU/mL less aerobic mesophiles than the drains in the fabrication room. Levels of aerobic mesophiles were not different between ground lamb and contact surfaces and equipment (stuffer, grinder, vacuum packager, cutting table, and bandsaw). In T2, drains in the fabricating room had higher levels of aerobic mesophiles than all other environmental sampling locations (cooler drains, bandsaw, cutting tables, dip tank) and whole lamb carcasses (4.94, 3.29, 2.78, 2.78, 2.78, and 2.78 Log CFU/mL). Drains (fabrication room and cooler) were the only environmental sites to have recoverable levels of aerobic mesophiles (limit of detection = 2.78 Log CFU/mL). In T3, rib chops (aged 13 d) and trim from fabricated lamb carcasses were sampled in addition to the fabrication environment. Rib chops had a higher level of aerobic mesophiles than cooler drains, bandsaw, whole lamb carcasses, and cutting tables (6.09, 3.02, 2.60, 2.40, and 2.40 Log CFU/mL). The drains in the fabrication room had higher levels of aerobic mesophiles than whole lamb carcasses and cutting tables, which were below the limit of detection (4.70, 2.40, and 2.40 Log CFU/mL; LOD = 2.40 Log CFU/mL). Although fresh lamb trim had ∼1.5 Log CFU/mL fewer aerobic mesophiles recovered, it did not differ from the rib chop despite being sampled 13 d after fabrication (4.43 and 6.09 Log CFU/mL).
Conclusion: Over 3 independent trials, it was evident that the low levels of aerobic mesophiles on the whole lamb carcasses demonstrated that there may be a contribution of the environment to subsequent fabricated and completed raw products. This study indicates that the higher-risk areas containing greater aerobic mesophiles that may potentially relate to raw product contamination due to environmental interactions are drains contained within the fabrication room. Despite routine sanitation procedures applied to these fabrication room areas within the state-inspected meat laboratory, these drains maintained high populations over the 3 trials. This information provides insight into potential avenues for contamination and could allow for the implementation of additional preventative measures to reduce food safety and shelf life risks for consumers. Further research investigating the microbial ecology of each specific location and sampling site will provide more insight into the contribution of the environmental microbial landscape to the final retail product.
Keywords: lamb, environmental monitoring, aerobic mesophiles.
170 Reduction of Microbial Load on Raw Chicken Parts Using Room-Temperature Plasma-Generating Device
Katherine Sierra,* Cameron Smith, Madison Sirmon, Vianca Tashiguano, Micah T. Black, Payten Leeds, and Amit Morey, Department of Poultry-Food Science, Auburn University, Auburn, AL 36849, USA *kzs0166@auburn.edu
Introduction/Objectives: Although microbial load in raw chicken is not always a direct public health concern, high bacterial populations can accelerate quality deterioration and reduce shelf life. Reducing microbial load may help extend shelf life, reduce food waste, and lower production costs. Room-temperature plasma, an emerging nonthermal technology, generates reactive oxygen and nitrogen species that damage bacterial cells without negatively affecting product quality. These devices are user-friendly, cost-effective, and suitable for industrial applications, operating at low temperatures that prevent heat damage to food. The system can be applied directly to food or to activate chemical treatments. This study evaluated the efficacy of a room-temperature plasma-generating device and plasma-activated hydrogen peroxide (H2O2) in reducing microbial loads on raw chicken parts.
Materials and Methods: Two trials were conducted in Prague, Czech Republic, and Europe, using 6 treatments and 3 replicates, each using excised tissue sections from chicken breast (n = 36). Additionally, 5 trials were conducted in Auburn Alabama, USA, using excised tissue sections (2 × 2 × 0.5 cm) from 3 chicken parts (breast, drumstick, and skin; 30 samples per part per treatment) with 6 treatments (control, H2O2 alone, 5- and 10-m direct plasma exposure, and 5- and 10-min plasma-activated H2O2) and 3 repetitions (n = 270). Samples were at 2 d to expire, ensuring an initial microbial load in the samples. Samples were treated with each treatment listed accordingly (Direct plasma to the sample, H2O2 alone, or activated H2O2), placed in tubes, then vortexed with buffer peptone water (BPW), plated in plate count agar (PCA), and incubated at 37°C for 48 h. The next day, colonies were counted for the reduction calculation. Bacterial identification in the European trial (n = 360) was conducted using MALDI-TOF MS with 2 approaches: direct transfer using α-cyano-4-hydroxycinnamic acid as the matrix, and a folic acid extraction method. Data was analyzed using one-way ANOVA (P ≤ 0.05) and Tukey’s HSD test in SAS Studio.
Results: In the European trials, plasma-activated H2O2 applied for 5 and 10 min resulted in reductions of 1.11 ± 0.12 and 2.17 ± 0.14 log CFU/mL, respectively (P ≤ 0.05). In the U.S. trials, reductions varied by sample type. On skin samples, plasma-activated H2O2 applied for 10 min achieved a significant reduction of 2.12 ± 0.10 log CFU/mL (P ≤ 0.05). On drumsticks, plasma-activated H2O2 for 5 and 10 min resulted in reductions of ∼2.5 log CFU/mL, which were statistically greater than the control (P ≤ 0.05). Treatments with H2O2 alone or direct plasma (5 or 10 min) were not significantly different from each other, reducing counts by approximately 2 log CFU/mL. For breast samples, plasma-activated H2O2 reduced bacterial counts by ∼2 log CFU/mL, while H2O2 alone and direct plasma resulted in ∼1 log CFU/mL reductions. While European results were slightly more effective, the differences were not statistically significant across matched treatments (P > 0.05).
Conclusion: This study demonstrates that plasma-activated hydrogen peroxide significantly reduces microbial loads on raw chicken parts. The most effective reductions were observed with plasma-activated H2O2 for 10 min across all parts tested. Room-temperature plasma-generating devices combined with H2O2 offer a promising, nonthermal intervention for reducing bacterial contamination. This approach may contribute to shelf life extension while minimizing chemical usage and water waste concerns important to consumers and industry.
Results
| Part | Treatment | Avg Log CFU/mL | Average Log Reduction | Avg SD |
|---|---|---|---|---|
| Skin | Control | 2.41260027 | 2.41260027 | 0.145099 |
| Skin | 5 min Plasma | 1.846160141 | 0.566439229 | 0.185598 |
| Skin | 10 min Plasma | 1.658689887 | 0.753910383 | 0.336688 |
| Skin | H2O2 | 1.529484913 | 0.883115357 | 0.56089 |
| Skin | 5 min H2O2+Plasma | 0.802585518 | 1.59234752 | 0.68534 |
| Skin | 10 min H2O2+Plasma | 0.609778955 | 1.802823113 | 0.5333 |
| Drumstick | Control | 2.421267703 | 2.421267703 | 0.878703 |
| Drumstick | 5 min Plasma | 1.612241255 | 0.809026448 | 0.817971 |
| Drumstick | 10 min Plasma | 1.341455495 | 1.079812208 | 0.608973 |
| Drumstick | H2O2 | 1.421966573 | 0.99930113 | 0.509138 |
| Drumstick | 5 min H2O2 + Plasma | 0.69645515 | 1.724812553 | 0.68789 |
| Drumstick | 10 min H2O2 + Plasma | 0.44515688 | 1.976110823 | 0.606289 |
| Breast | Control | 1.472388565 | 1.472388565 | 0.235983 |
| Breast | 5 min Plasma | 0.744470216 | 0.727918349 | 0.443923 |
| Breast | 10 min Plasma | 0.625020421 | 0.847368144 | 0.679441 |
| Breast | H2O2 | 0.916770509 | 0.555861056 | 0.386716 |
| Breast | 5 min H2O2+Plasma | 0.291687088 | 1.180701477 | 0.528191 |
| Breast | 10 min H2O2+Plasma | 0.13264667 | 1.339741895 | 0.339144 |
Funding Source: National Science Foundation.
Keywords: microbial load, plasma, chicken, hydrogen peroxide.
171 Evaluating the Efficacy of Naturally Sourced Nitrites to Inhibit the Growth of Clostridium perfringens and Listeria monocytogenes in a Deli-Style Turkey Product
Jessica A. Brown1,*, Cindy B. Austin1, Margaret K. Costello1, Steven Sheng1, James R. Claus1, Erin M. Silva2, and Steven C. Ricke1, 1Meat Science and Animal Biologics Discovery Program, Department of Animal & Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA, 2Department of Plant Pathology, University of Wisconsin-Madison, Madison, WI 53706, USA *jabrown35@wisc.edu
Introduction/Objectives: Nitrites play an important role in meat preservation by inhibiting the growth of Clostridium (C.) botulinum and C. perfringens. Increasing consumer concern related to the safety of cured meat products has led to the development and commercialization of naturally cured meat products using plant-based nitrite sources. Despite commercial use in the United States, questions remain as to the equivalence of the 2 curing methods and the variation related to the source. Additionally, due to the frequent usage of nitrites in ready-to-eat (RTE) meat products, it is important to also assess their antimicrobial potential against Listeria (L.) monocytogenes, a pathogen commonly associated with RTE meat products. The objective of this study was to evaluate 4 natural sources of nitrite based on their ability to inhibit the growth of C. perfringens and L. monocytogenes during the cooling and refrigerated storage of RTE deli-style turkey breast.
Materials and Methods: Two independent trials were performed in which 6 meat formulation treatments were prepared, including an uncured control, a NaNO2 control (200 mg/kg NaNO2 and 547 mg/kg sodium erythorbate), and 4 experimental treatments with equal concentrations of nitrite from natural sources. The natural nitrite sources included conventional celery, conventional Swiss chard, and organic Swiss chard sourced from Florida Food Products, and organic celery sourced from Diana FoodTM. Raw batter was inoculated with C. perfringens spores at a target concentration of 3 Log CFU/g, stored anaerobically in vacuum-sealed bags, and cooked to an internal temperature of 70°C. The meat was subsequently chilled for over 15 h to 7.2°C and plated for enumeration pre-cook (PC) and at times 0, 5, 10, and 15 h of cooling. Samples were spread plated in duplicate on TSC agar plates with a thin TSC overlay and incubated anaerobically at 35°C for 18 to 24 h. For L. monocytogenes analysis, the turkey breast was fully cooked to an internal temperature of 70°C, chilled for 10 to 12 h, and sliced. Sliced turkey breast was then surface inoculated with 3 Log CFU/g of L. monocytogenes, sealed in modified atmosphere packaging, and stored at 2°C. Triplicate samples for each treatment were enumerated at 0, 1, 2, 3, and 4 wks of storage by spread plating onto Modified Oxford agar. Plates were incubated aerobically at 35°C for 48 h. Bacterial counts were log-transformed (log CFU/g) and analyzed using a linear mixed-effect model and ANOVA in R Studio. Estimated marginal means and standard error were calculated using the emmeans package in R Studio, with means separated by Tukey’s Protected HSD (p£0.05). Pass/fail criteria were a maximum of 1-log outgrowth of C. perfringens during cooling and a maximum 2-log outgrowth of L. monocytogenes during storage, compared to PC and 0-time inoculated levels, respectively.
Results: Treatment had a significant effect on the inhibition of both L. monocytogenes and C. perfringens in deli-style turkey breast (P < 0.05). None of the nitrite treatments applied to deli-style turkey breast were successful in inhibiting the growth of L. monocytogenes (<2 log CFU/g) during 4 wks of refrigerated storage. Uncured turkey breast supported the highest level of growth for L. monocytogenes, increasing the population from 3.5 to 9.16 ± 0.41 log CFU/g after 4 wks. No differences in efficacy were observed between naturally sourced nitrites, all exceeding a 2-log CFU/g outgrowth of L. monocytogenes after 3 wks of storage; however, nitrite from natural sources did outperform the NaNO2 control after 4 wks of storage, limiting the outgrowth by approximately 1 log CFU/g. Similar to the L. monocytogenes results, uncured turkey breast also supported the highest level of growth for C. perfringens, exceeding the 1-log maximum outgrowth after only 5 h of chilling and increasing the population from 2.27 ± 0.53 at PC to 6.88 ± 0.53 log CFU/g after 15 h of chilling. The turkey breast treated with NaNO2 and erythorbate was most successful in inhibiting the growth of C. perfringens, reducing the population during chilling (PC to 15 h) from 2.22 to 1.51 ± 0.53 log CFU/g. No statistical differences were observed between the conventional and organic sources of either celery (P = 1.0) or Swiss chard (P = 0.45) at 15 h. While plant-based nitrite sources were not as effective as the NaNO2 control, all sources of nitrite successfully inhibited the growth of C. perfringens (<1 log CFU/g) throughout the duration of chilling.
Conclusion: In conclusion, NaNO2 with erythorbate and nitrite, naturally sourced from celery and Swiss chard, exhibits similar efficacy in inhibiting the growth of L. monocytogenes and C. perfringens in a deli-style turkey breast product. With none of the nitrite treatments successfully inhibiting the growth of L. monocytogenes beyond 3 wks of refrigerated storage, they would be unsuitable as an antimicrobial control for L. monocytogenes in RTE meat products with a shelf life exceeding 3 wks. However, all sources of nitrite successfully inhibited the growth of C. perfringens (<1 log CFU/g) during a 15 h cooling process, suggesting naturally sourced nitrites are a viable alternative for NaNO2 in cured meat products.
Funding Source: This research was funded by the Organic Research and Extension Initiative program of the U.S. Department of Agriculture, National Institute of Food and Agriculture (award # 2019-51300-30243).
Keywords: RTE, nitrite, plant-sourced, Listeria, Clostridium.
172 Optimizing a Campylobacter jejuni Colonization Challenge Model for Food Safety Intervention Assessment in Broiler Chickens
Hailey Fugate, Linan Jia,* Xin Ye, Xue Zhang, Ken Macklin, and Li Zhang, Mississippi State University, Mississippi State, MS 39762, USA *lj912@msstate.edu
Introduction/Objectives: Campylobacter jejuni remains a significant food safety concern in poultry production, serving as a leading cause of bacterial foodborne illness in humans worldwide. Despite being a microaerophilic pathogen, C. jejuni can persist throughout the poultry production chain, ultimately reaching consumers through contaminated products. Given the increasing availability of preharvest intervention products designed to reduce Campylobacter colonization in the avian gut, including vaccines, feed additives, and water treatments, there is a critical need to develop standardized challenge models to effectively evaluate these products under controlled conditions. The variability in pathogen colonization patterns often complicates the assessment of intervention efficacy, highlighting the importance of establishing consistent challenge parameters. This study aimed to determine the optimal challenge dose for a C. jejunum model using a cocktail of 3 newly isolated and characterized poultry-related strains previously obtained from commercial broiler processing plants, as well as to identify the most appropriate sampling organs and time points for future intervention studies.
Materials and Methods: A total of 72 unvaccinated male broiler chicks were randomly assigned to 3 treatment groups: negative control (NC), Dose 1 (104 CFU/ml of C. jejuni cocktail), and Dose 2 (106 CFU/ml of C. jejuni cocktail), with 24 birds per treatment distributed across 6 replicate cages (4 birds per cage). The cocktail contained equal proportions (at the ratio of 1:1:1) of 3 C. jejuni strains classified as hyper-aerotolerant, previously isolated from poultry processing facilities and characterized through multi-locus sequence typing. These strains were selected based on their prevalence in processing environments and potential relevance to food safety concerns. Twenty-four-hour cultures of the 3 C. jejuni strains were grown individually in brain heart infusion (BHI) broth, and optical density (OD600) was measured and adjusted to prepare the desired concentrations using BHI as diluent. Plate counting was performed to confirm the actual bacterial concentration in the final inoculum. On day 7 of age (0-d post-inoculation, 0 DPI), chicks were orally gavaged with 0.1 mL per bird of their assigned treatments (NC birds received BHI broth only). Birds were maintained in an ABSL-2 facility on standard commercial diets and management practices throughout the experimental period. On 7 and 14 DPI, one bird from each cage was euthanized and necropsied to collect both ceca and intestinal (jejunum and ileum) segments. Samples were weighed, homogenized in PBS, serially diluted (10-fold dilutions), and spread on selective Campylobacter agar supplemented with 5% laked horse blood for bacterial enumeration. Plates were incubated for 48 h at 42°C under microaerophilic conditions before counting. Colony counts were converted to log CFU/g for statistical analysis using 2-way ANOVA with challenge dose and DPI as factors, with Tukey’s HSD test used to separate means at a significance level of P < 0.05.
Results: No significant interaction between dose and DPI was observed for cecal and intestinal weights, though organ weights increased with time as expected with normal bird growth. A significant interaction effect (P < 0.0001) was detected between dose and DPI on cecal bacterial colonization, with Dose 2 resulting in significantly higher log CFU on both 7 and 14 DPI compared to NC and Dose 1. On day 7 DPI, cecal samples from birds challenged with Dose 2 showed high colonization levels (7.14 ± 0.58 log CFU/g), while Dose 1 showed limited colonization (5.16 ± 0.82 log CFU/g). By 14 DPI, Dose 2 maintained substantial colonization (7.57 ± 1.09 log CFU/g), while C. jejuni was not recovered from Dose 1 samples (0 log CFU/g). Similarly, intestinal bacterial counts showed significant differences due to dose (P = 0.0003), with Dose 2 yielding higher log CFU compared to NC and Dose 1, regardless of sampling day. At 7 DPI, Dose 2 intestinal samples had a mean log CFU of 2.26 ± 2.676, increasing to 4.286 ± 2.93 by 14 DPI, while no C. jejuni was recovered from Dose 1 or NC intestinal samples at either time point. Notably, Dose 1 failed to establish consistent colonization patterns that were statistically distinguishable from negative controls in either the ceca or the intestine. Recovery rates of C. jejunum from intestinal samples were more variable than from cecal samples, suggesting that while both are viable sampling sites, cecal samples may provide more consistent results for intervention assessment studies.
Conclusion: This study successfully established a reproducible C. jejuni challenge model using a cocktail of 3 processing plant isolates administered at day 7 of age. The higher challenge dose (106 CFU/ml) consistently produced significant colonization in both ceca and intestine, whereas the lower dose (104 CFU/ml) failed to establish colonization patterns distinguishable from negative controls. Both the ceca and intestine were identified as important sampling organs for future studies, with cecal samples providing more consistent colonization patterns. The sampling time points of 7 and 14 DPI represent critical intervals for assessing intervention efficacy, capturing both early colonization dynamics and sustained effects. This validated challenge model will facilitate future intervention studies focused on reducing C. jejuni colonization in broiler chickens, providing a standardized platform for evaluating the efficacy of preharvest control strategies. The model contributes to advancing food safety measures in poultry production by enabling more reliable assessment of approaches to mitigate C. jejuni contamination risks.
Funding Source: The authors acknowledge funding for this study, which was provided by the Mississippi Agriculture and Forestry Experiment Station through USDA-NIFA Hatch Project (MIS-322430/NE-1942).
Keywords: Campylobacter, poultry, challenge colonization, CFU.
173 Evaluating the Microbial Indicator and Salmonella spp. Loads and Prevalence of Chicken Wing Composite Rinse Samples in 3 Different Commercial Processing Facilities in the United States
Sabrina E. Blandon*, Rigo Soler-Diaz, Isaac Romero, Luis Salazar, Mindy Brashears, and Marcos X. Sánchez-Plata, Texas Tech University, Lubbock, TX 79409, USA *sablando@ttu.edu
Introduction/Objectives: Proposed USDA-FSIS performance standards that account for Salmonella prevalence, loads higher than 10CFU/ mL of rinse, and specific serotypes of concern present logistical, practical, and scientific challenges for implementation. Data from commercial processing facilities on microbial variability under different lot definition approaches is missing, but is necessary for risk assessment and regulatory compliance planning. The objective of the study is to evaluate the in-plant variability of the prevalence and loads of Salmonella and total aerobic counts in chicken wings collected from 3 different commercial processing facilities.
Materials and Methods: Chicken wings (n ∼ 20) from a production line were randomly collected and mixed with 400 mL of BPW for a composite parts rinse sample. Sampling was conducted at 3 different commercial processing facilities (Beta, Delta, and Gama) over 4 different production days, with 4 samplings occurring during the first shift and 4 during the second shift (total n = 320 wing rinse composite samples). Samples were processed using the Tempo ® System for aerobic counts (AC), while the GeneUp® Quant Salmonella and GeneUp® Salmonella detection protocols were followed for Salmonella enumeration and prevalence, respectively. Data analysis was performed in R, using ANOVA and Tukey’s test to compare AC contamination loads within each plant and across all plants. A Chi-square test evaluated Salmonella prevalence differences across facilities, while Kruskal-Wallis and pairwise Wilcoxon tests were applied to compare Salmonella enumeration. All statistical analyses were conducted at a 95% confidence level.
Results: A statistical difference (P value < 0.05) for AC was observed for Plant Beta when comparing samples collected throughout each day of sampling for all days. However, Plant Delta and Gama showed no significant differences (P value = 0.35 and P value = 0.68, respectively) and had the lowest counts across days of sampling. Plant Gamma and Delta showed the highest prevalence of Salmonella (20%), followed by Plant Beta with a prevalence of 10%. Nonetheless, Plant Beta exhibited the highest counts at loads of 3 LogCFU/mL (P value < 0.05). No statistical difference was observed between days for Salmonella prevalence across all 3 plants evaluated (P value = 0.31). A significant difference was observed among the 3 plants for Salmonella prevalence overall (P value < 0.05).
Conclusion: Results indicate significant variability in the loads of microbial indicator (AC) just in Plant Beta, as well as variations in the presence and loads of Salmonella across all 3 sampled commercial processing facilities. This reference data can help poultry processors evaluate their performance on pathogen control and indicator microorganisms in chicken wings.
Funding Source: U.S Poultry & Egg Association.
Keywords: chicken, indicators, pathogen, Salmonella, wings.
174 Effects of High-Pressure Processing on the Microbiological Quality of Hybrid Meat
Chaoyue Wang1, Sampathkumar Balamurugan2, and Shai Barbut1,*, 1University of Guelph, Guelph, ON N1G 2W1, Canada, 2Agriculture and Agri-Food Canada, Guelph Research and Development Centre, Guelph, ON N1G 5C9, Canada *sbarbut@uoguelph.ca
Introduction/Objectives: High-pressure processing (HPP) is a nonthermal technique applied to reduce microbial load from food products while causing minimal nutrient loss. HPP was traditionally applied to meat products to improve their safety and shelf life. However, there are few reports on the effect of HPP on hybrid meats containing portions of ground beef meat and plant-based formulations. Therefore, this study aimed to evaluate the effect of HPP on acute microbial reduction and subsequent microbial growth during storage of hybrid meat made with ground beef and plant-based formulations. Three experiments were conducted in this study. In Experiment 1 (EXP1), a commercially available vegan burger was used as the source of plant-based formulation. Experiment 2 (EXP2) employed a lab-created plant-based formulation, and Experiment 3 (EXP3) further deconstructed the laboratory formulation (EXP2) to isolate and identify the specific component responsible for the antimicrobial effect.
Materials and Methods: In EXP1 and EXP2, hybrid meat samples were prepared by mixing ground beef (15% fat) with hydrated plant-based formulations (commercially sourced for EXP1 and lab-formulated for EXP2) at a meat-to-plant ratio of 3:0, 2:1,1:2, and 0:3, labeled M3P0 (control), M2P1, M1P2, and M0P3, respectively. The main ingredients in the commercially obtained plant-based formulation used in EXP1 were water, soy protein concentrate, sunflower and coconut oil, methylcellulose, cultured dextrose, modified plant starch, and salt. The lab-made simplified plant-based formulation used in EXP2 contained 57% water, 17% textured soy protein concentrate, 8% coconut oil, 7% canola oil, 5% soy protein isolate, 3% texturizing base (cellulose powder), 2% gluten, and 1% salt. After a 40-min rest, samples were vacuum packed and subjected to 0, 400, and 600 MPa for 3 min, followed by storage at 4°C for 24 d. Total aerobic counts were determined on tryptic soy agar plating, incubated at 35C° for 48 h on day 0 and every 4 d thereafter. In EXP3, plant-based formulations were created, including 1 type of oil at a time(canola or coconut oil), including or excluding the texturizing base, to identify the component responsible for microbial inhibition observed in EXP2. Samples were plated on days 0, 7, and 14 for total aerobic counts. Bacterial counts were expressed as log CFU/g. Statistical analysis of variance (ANOVA) was performed using the GraphPad Prism 10.0 package (GraphPad Software, San Diego, CA, USA), followed by Tukey’s significant difference test at a 95% confidence level to determine any differences between formulations subjected to the same pressure treatment and storage time. Significances were reported when P < 0.05.
Results: In EXP1, on day 0, all samples without HPP showed similar plate counts (3 log CFU/g). On day 24, samples containing 100% plant-based formulation (M0P3) showed significantly (P < 0.0001) lower (3.8 log CFU/g) counts compared to samples containing meat (M1P2, M2P1, and M3P0, ranging from 5.8 to 6.8 log CFU/g). When 400 MPa was applied, control (M3P0) showed a >3 log reduction, while samples containing plant-based formulation resulted in a <1 log reduction. On day 24, control showed a >5 log increase in plate count, while M0P3 showed a <1 log growth. This experiment revealed that the plant-based formulation lowered the acute microbial reduction of HPP (baroprotective effect) but showed an inhibitory effect on microbial growth during storage. It was difficult to determine the cause of microbial inhibition from the commercial plant-based formulation due to the complexity of the ingredients (20 items). EXP2 was performed with a simplified, lab-created plant-based formulation to identify potential inhibitory compounds. In EXP2, similar observations were made using lab-made plant-based formulations: control showed an approximately 4 log reduction when exposed to 400 and 600 MPa, while M0P3 resulted in <1 log reduction. However, by the end of the experiment (day 24), samples with a high percentage of plant-based formulation (M1P2 and M0P3) showed significantly (P <0.0001) lower microbial growth (<1 log CFU/ g) compared to samples containing a higher percentage of meat (up to >5 log CFU/g). Compounds such as coconut oil (containing lauric acid) and texturizing base (containing methylcellulose and buffered vinegar) may be the cause of microbial inhibition, and therefore, EXP3 was performed to identify whether one of the ingredients was responsible for observations from EXP2. Plant-based samples in EXP3 were formulated using only canola or coconut oil, with and without the texturizing base. Results revealed that the type of oil and the mixing order of oil and water showed no significant (P > 0.05) effect on microbial growth during storage. Excluding the texturizing base containing buffered vinegar resulted in significant (P < 0.0001) microbial growth in the plant-based formulation on day 14 (5 log CFU/g). Therefore, the texturizing base (containing buffered vinegar) was the inhibiting ingredient in the formulation.
Conclusion: Samples containing plant-based formulations resulted in a baroprotective effect and lowered the immediate microbial reduction from HPP (400 and 600 MPa). However, plant-based formulations contained compounds that inhibited microbial growth over refrigerated storage for 24 d. The antimicrobial effect was linked to the texturizing base containing buffered vinegar, initially intended to improve texture. These findings suggest that hybrid meat with plant-based formulations subjected to HPP resulted in different immediate and storage effects on microorganisms compared to samples containing only meat. Further experiments could be performed on the matrix structure of plant-based formulations to explore their baroprotective effects.
Funding Source: OMAFRA (Ontario Ministry of Agriculture, Food, and Rural Affairs).
Keywords: hybrid meat, high pressure, microbial reduction, shelf life.
175 Salmonella Prevalence in Synovial Fluid and Bone Marrow From Traditional Feedlot Cattle
Abigail R. Tack*, Spencer B. Tindel, Jeffrey W. Savell, and Kerri B. Gehring, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77840, USA *arosetack@tamu.edu
Introduction/Objectives: As of 2024, the Centers for Disease Control and Prevention (CDC) reported that nontyphoidal Salmonella causes an estimated 1.35 million infections annually in the United States. From 2012 to 2019, 87% of beef-associated Salmonella outbreaks were linked to ground beef. Lymph nodes, typically encased in fat, have been identified as a Salmonella reservoir in beef carcasses. Synovial fluid (SF) and bone marrow (BM) are also part of the lymphatic system and have been found to harbor Salmonella in humans, swine, and poultry. Because SF and BM are protected from traditional carcass antimicrobial interventions and are later exposed during beef fabrication processes, these matrices could contaminate products such as ground beef. Therefore, the objective of this study was to evaluate the presence of Salmonella in the SF and BM of commercial feedlot cattle.
Materials and Methods: Synovial fluid (SF; n = 190) and bone marrow (BM; n = 190) samples were collected from a commercial beef processing facility in Texas. SF was collected from the stifle joints of carcasses across 2 shifts, and center-cut femurs were obtained separately. Samples were transported to the Texas A&M University Food Microbiology Laboratory. Upon arrival, SF samples were enriched in a 1:1 ratio of TSB, incubated at 37°C for 48h, and centrifuged at 5,000 rpm for 30 min. Supernatant was disposed of, pellets were re-enriched with 1 mL of TSB, and incubated for an additional 48 h at 37°C. Before BM extraction, frozen, center-cut femurs were thawed, flame sterilized, and 0.6cm of BM from each end was aseptically discarded. Using a sterile spatula, ∼25g of BM were removed from the diaphysis of each femur, placed into sterile Whirl-Pak bags, enriched in a 3:1 ratio with TSB, massaged by hand for 60 s, and incubated for 48 h at 37°C. SF and BM samples were then prepared for qualitative PCR analysis using the Hygenia BAX Q7 system (lower Salmonella detection limit: 10^4CFU/mL). All PCR analyses were run with positive and negative controls. To further isolate and quantify Salmonella from SF, an additional collection (n = 190, N = 380) was completed. The protocol was amended so that each sample consisted of SF from both stifle joints of the carcass to increase the sample volume to ∼8 mL. Upon arrival at the laboratory, ∼4 mL of SF from each sample was frozen (−65°C) for subsequent analysis pending a positive PCR result. The remaining 4 mL were enriched and analyzed following the methodology outlined above. Positive PCR samples were thawed, pre-enriched in a 9:1 ratio of TSB, and prepared following the most probable number (MPN) guidelines under MLG Appendix 2.05 (Table 2; lower level of detection limit: 0.3MPN/mL). Samples were incubated using RV and TTHajna broths for 18–24 h at 42°C, isolated for Salmonella on DMLIA and BGSA plates, and positive colonies were selected following MLG #4.14. Microsoft Excel and MPN values from MLG Appendix 2.05 Table 2 were used to report prevalence and quantitative data by sample type and collection trip.
Results: Synovial fluid (SF) sample analysis resulted in prevalences of 50.53% (96/190) and 2.11% (4/190) for collections 1 and 2, respectively (Table 1). In collection 2, further quantification of Salmonella PCR positives (n = 4) was done following the MPN method. No plates displayed viable colonies for biochemical confirmation, determining that all 4 samples contained less than 0.3MPN/mL. Of the 190 bone marrow (BM) samples collected, 2 (1.05%; 2/190) were positive for Salmonella via PCR analysis, but were not further analyzed for enumeration (Table 1). While the results of this study show that Salmonella can be present in the SF and BM of traditional feedlot cattle, the level at which Salmonella was quantified in the SF was very low.
Conclusion: Salmonella can be present within the SF and BM of traditional feedlot cattle postmortem. These findings indicate that it is possible for Salmonella to survive in alternative lymphatic locations that are protected from traditional interventions. The quantification of Salmonella in SF was low, indicating that although the bacteria can be present in this matrix, they were not present at levels significant enough to cause illness. Further research is warranted to investigate the serotypes of Salmonella present in these matrices, other joints, or in specific groups of cattle. Additionally, it would be of interest to explore whether synovial fluid can act as a vector in the transmission of Salmonella post-harvest.
Enrichment positives for Salmonella in beef synovial fluid and bone marrow samples
| Sample Type | n¹ | Number Enrichment Positive (%)2 |
|---|---|---|
| Synovial fluid | ||
| Collection 1 | 190 | 50.5 |
| Collection 2 | 190 | 2.1 |
| Bone marrow | 190 |
¹Number of samples.
% Enrichment positive calculated as the ratio of enrichment positive divided by the number of samples examined (n).
Funding Source: Research coordinated by the National Cattlemen’s Beef Association, a contractor to the Beef Checkoff.
Keywords: Salmonella, beef, synovial fluid, bone marrow.
176 Evaluating Antimicrobial Treatments for Effective Control of Listeria monocytogenes and Spoilage Bacteria in Hot Dogs
Jyoti Aryal*, Kaylee Rumbaugh, Joyjit Saha, Robby Weyker, Megan McGoug, Paul Ludtke, Blaine Jenschke, Renetta Cooper, and Christin Kohloff, Kerry Ingredients and Flavours, Beloit, WI 53511, USA *jyoti.j.aryal@kerry.com
Introduction/Objectives: Listeria monocytogenes poses a significant health risk as a post-process contaminant in cooked meats. Additionally, lactic acid bacteria present a significant challenge as the dominant organisms responsible for spoilage. The aim of this study is to evaluate the efficacy of both vinegar and vinegar systems as antimicrobials in suppressing L. monocytogenes and spoilage bacteria in hot dogs.
Materials and Methods: Hot dogs were prepared using 4 different treatments, including a control with no antimicrobial, 1.8% IsoAge 325L (potassium-buffered liquid vinegar), and 2–3% Nourishield 2000L (vinegar-fermentate system). 100g samples (2 hot dogs per package) were either uninoculated (for shelf life study) or surface inoculated with a 5-strain cocktail of L. monocytogenes, then vacuum packaged and stored at 38°F. Sampling was conducted for up to 120 d. At each sampling point, hot dogs were homogenized with phosphate-buffered saline (PBS) using a stomacher and plated onto Modified Oxford medium for L. monocytogenes, onto Tryptic Soy Agar (TSA) for aerobic plate count, and Man, Rogosa, and Sharpe medium for lactic acid bacteria (LAB) enumeration. Antilisterial efficacy was assessed at a threshold of 2 log CFU/g outgrowth, while spoilage was determined at 7 log CFU/g or by visual spoilage. Results were analyzed using one-way ANOVA (P < 0.05).
Results: An initial inoculation level of 2.5–3.5 log CFU/g of L. monocytogenes was achieved across all treatments on Day 0. By Day 28, the L. monocytogenes population in the control samples exhibited a significant increase, reaching 6.5 log CFU/g, corresponding to an outgrowth exceeding 3 log CFU/g (P < 0.05) compared to the treated samples. The application of both 2% and 3% Nourishield 2000L demonstrated a statistically significant (P < 0.05) inhibition of L. monocytogenes outgrowth for more than 70 d. Additionally, all treatments effectively suppressed the growth of aerobic bacteria and lactic acid bacteria in uninoculated samples, maintaining microbial counts below the detection limit for more than 70 d.
Conclusion: The findings highlight the potential of Nourishield 2000L to enhance food safety and extend shelf life by effectively controlling L. monocytogenes outgrowth and spoilage microorganisms in a hot dog store at a temperature of 38°F.
Funding Source: Kerry.
Keywords: Listeria monocytogenes, lactic acid bacteria, shelf life.
177 Application of Clean-Label Antimicrobials for Salmonella Reduction of Raw Pork Bones
Sara LaSuer1*, Tushar Verma1, Juliana Lane Paixao dos Santos1, Andrew Dillon1, Lorraine English1, Garrett McCoy1, Brandon Goehring1, Robert Ames2, and Rodolfo Garza2, 1Research and Development, Corbion, Lenexa, KS 66214, USA, 2Business Development, Corbion, Lenexa, KS 66214, USA *sara.lasuer@corbion.com
Introduction/Objectives: While traditionally used to combat the outgrowth of Clostridium botulinum, sodium nitrite also has a bacteriostatic impact on Listeria monocytogenes. Though sodium nitrite alone is typically not enough to prevent the outgrowth of L. monocytogenes in cured deli meats, it can serve as an additional hurdle alongside antimicrobials. The objective of this study is to investigate the impact of sodium nitrite and clean-label antimicrobial Verdad® Powder N6 (Dry Vinegar) on the growth of L. monocytogenes in RTE deli ham.
Materials and Methods: The effect of sodium nitrite on the growth of L. monocytogenes was tested using incoming whole formula sodium nitrite levels of 0, 50, and 200 ppm. The effect of sodium nitrite plus dry vinegar was also tested using 0.5% w/w dry vinegar with ingoing whole formula sodium nitrite levels of 0, 50, and 200 ppm. Ground and formed ham samples were made using denuded and ground pork insides. The ground pork was vacuum tumbled with the pickle (sodium chloride, sodium tripolyphosphate, cure salt (6.25% sodium nitrite), deionized water) for 60 min before being stuffed into 60-mm high barrier casings and rested at 4.0°C for 120 min before cooking. Ham samples were sliced into 25-g samples, and either inoculated with a 5-strain L. monocytogenes cocktail or left uninoculated (native microflora analysis). Sliced samples were then vacuum packaged and stored at 4.4°C. Upon sampling, uninoculated slices were evaluated for pH change and/or outgrowth of background flora, and the inoculated product was sampled for L. monocytogenes counts. Ham was transferred to a sterile stomacher bag to which a 1:2 dilution of buffered peptone water was added. The sample was stomached (200 rpm; 30 s), serially diluted, and the homogenate was spread plated onto Modified Oxford agar (35°C incubation for 48 h) to enumerate L. monocytogenes and de Man, Rogosa, and Sharpe agar (30°C incubation for 48 h) to enumerate background lactic acid bacteria. Time to 1-log and 2-log outgrowth (TTG1 and TTG2, respectively) were evaluated along with growth rates. Baranyi and Roberts’s model was used to estimate the growth rate of L. monocytogenes for all the treatments. Minitab 22.1 was used to perform Tukey’s multiple comparison test to estimate any significant difference in growth rates among the treatments tested in this study.
Results: All inoculated samples had a starting L. monocytogenes population of ca. 3.4 log CFU/g. As ingoing sodium nitrite levels increased, the growth rates decreased, and the TTG1/TTG2 were extended. The samples containing dry vinegar had a significantly (P < 0.05) lower growth rate than samples with sodium nitrite alone, and the TTG1/ TTG2 were greatly extended. The samples prepared with 200 ppm ingoing sodium nitrite + 0.5% dry vinegar did not reach 1-log L. monocytogenes outgrowth after 134 d. Samples with 50 ppm ingoing sodium nitrite + 0.5% dry vinegar did not reach 2-log L. monocytogenes outgrowth after 134 d. Lactic acid bacteria outgrowth was below the detection limit (<0.3 log CFU/g), and there was no change in product pH outside normal fluctuation. Therefore, control of L. monocytogenes was achieved by the addition of buffered vinegar and/or ingoing sodium nitrite and not the outgrowth of native microflora nor changes in product pH.
Conclusion: Sodium nitrite alone is not enough to control the outgrowth of L. monocytogenes in deli ham. The addition of clean-label antimicrobial (Verdad® Powder N6) effectively extended the time to 1-log outgrowth by 6 times that of sodium nitrite alone. In combination with clean-label antimicrobials, sodium nitrite provides a robust barrier against L. monocytogenes.
Growth rate and time to 1-log and 2-log outgrowth of L. monocytogenes in deli ham
| Ingoing Sodium Nitrite (ppm) | Buffered Vinegar | pH | Growth Rate (1/d) | TTG1 (d) | TTG2 (d) |
|---|---|---|---|---|---|
| 0 | 0.0% | 6.43 ± 0.01 | 0.206 ± 0.003a | 7 | 10 |
| 50 | 0.0% | 6.42 ± 0.03 | 0.127 ± 0.016b | 14 | 21 |
| 200 | 0.0% | 6.31 ± 0.00 | 0.103 ± 0.002c | 35 | 42 |
| 0 | 0.5% | 6.32 ± 0.03 | 0.031 ± 0.003e | 24 | 70 |
| 50 | 0.5% | 6.24 ± 0.03 | 0.022 ± 0.001e | 84 | >134 |
| 200 | 0.5% | 6.24 ± 0.02 | <0.001f | >134 | >134 |
The pH and growth rates are presented as mean ± standard deviation (n = 3).
a–f Within a column, the values with different letters are significantly different at α = 0.05.
TTG1: Time to 1-log.
TTG2: Time to 2-log.
Funding Source: Internally funded.
Keywords: sodium nitrite, Listeria, food safety.
Muscle and Lipid Biology and Biochemistry
178 Evaluating the Role of Species-Specific Sarcoplasmic Extracts in Lipid Oxidation Using a Liposome Model
Minha Arankuny*, Prabir Kumar Gharai, Morgan Pfeiffer, Gretchen Mafi, and Ranjith Ramanathan, Department of Animal and Food Science, The Oklahoma State University, Stillwater, OK 74078, USA *minha.arankuny@okstate.edu
Introduction/Objectives: Lipid oxidation is one of the primary causes of quality deterioration in meat, leading to rancid flavors that ultimately reduce consumer acceptability. Many intrinsic and extrinsic factors affect lipid oxidation; among these, myoglobin, a sarcoplasmic protein, is a major contributor. While myoglobin is responsible for the red color of meat, it also acts as a prooxidant for lipid oxidation. The heme iron in myoglobin acts as a catalyst in oxidation reactions by interacting with hydrogen peroxide (H2O2), producing hydroxyl radicals that further accelerate lipid oxidation. However, limited knowledge is available on the role of myoglobin in different species. The study hypothesized that myoglobin concentration would increase lipid oxidation. The objective of this study was to determine the role of myoglobin in lipid oxidation in beef, pork, and chicken of varying myoglobin content, using a sarcoplasm and liposome model.
Materials and Methods: Sarcoplasm (water-soluble meat extract) was prepared from beef and pork longissimus lumborum muscles (n = 5). The pectoralis (breast) muscle was used to extract sarcoplasm in chicken (n = 5). Briefly, 10 g of meat was homogenized in phosphate buffer at pH 7.2, and the homogenate was centrifuged at 20,000 × g speed for 20 min. The supernatant was then passed through double-layered cheesecloth cloth followed by filtration using 0.22 μm syringe filters to prepare sarcoplasm. Phosphatidylcholine liposomes (membrane lipids) were prepared by mixing 30 mg of phosphatidylcholine, 12 mg cholesterol, and 3 mg dicetyl phosphate in 5 mL of methylene chloride/methanol (2:1 v/v). The solvent was then evaporated using a rotary vacuum evaporator to form a lipid film, which was rehydrated in phosphate buffer (pH 7.2) and homogenized for 2 h at 4°C. Myoglobin concentrations in the sarcoplasm were determined by measuring absorbance at 525 nm before adjusting the myoglobin levels in 3 species. In the current research, the role of myoglobin in lipid oxidation was determined by 2 approaches: (1) concentrating myoglobin levels of pork and chicken to beef, and (2) diluting beef and pork myoglobin levels to chicken. Equine skeletal myoglobin was added to pork and chicken sarcoplasm to match beef myoglobin levels. Additionally, beef and pork sarcoplasm were diluted with phosphate buffer to match chicken myoglobin levels. The sarcoplasm-liposome mixture was incubated at 37°C for 4 h. Lipid oxidation was measured using the thiobarbituric acid reactive substances assay at 0, 2, and 4 h, with absorbance recorded at 532 nm. Free radical formation during lipid oxidation was also measured using 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2’-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) assays. The data were analyzed using the Mixed procedure of SAS, and significance was considered at P < 0.05.
Results: Beef sarcoplasm exhibited the greatest (P < 0.05) lipid oxidation, followed by chicken and pork, in native myoglobin concentration. When pork and chicken sarcoplasm was concentrated to match beef myoglobin levels, oxidation increased by 32% in pork and 30% in chicken (P < 0.05) compared to their native forms, confirming myoglobin’s prooxidant role. Despite standardizing myoglobin concentrations across all species to beef levels, beef sarcoplasm still exhibited the highest (P < 0.05) lipid oxidation, suggesting that factors beyond myoglobin concentration contribute to oxidation differences. Free radical analysis using DPPH and ABTS assays indicated that beef sarcoplasm consistently exhibited the highest (P < 0.05) free radical levels, followed by chicken and pork. Additionally, when beef and pork sarcoplasm were diluted to match chicken myoglobin levels, lipid oxidation was reduced compared to their native states (chicken > beef = pork; P < 0.05). Interestingly, pork consistently displayed lower lipid oxidation than the other species, indicating a stronger antioxidant capacity.
Conclusion: These findings confirm the role of myoglobin in lipid oxidation. However, there are species-specific factors that can influence lipid oxidation. For example, despite having more myoglobin than chicken, pork exhibited the lowest lipid oxidation, indicating that factors beyond myoglobin concentration, such as antioxidant capacity and enzymatic defense mechanisms, contribute to oxidation differences. Characterizing the antioxidant biomolecules in pork could provide valuable insights for developing novel meat preservation strategies and enhancing product quality.
Funding Source: USDA-AFRI grant.
Keywords: lipid oxidation, myoglobin, liposome.
179 Comparative Analysis of Vitamin E Levels in Different Lamb Breeds Fed Identical Diets
Mina Mahdavi-Yekta*, Mikayla L. Heimbuch, Michael J. Colle, and Pedram Rezamand, Department of Animal, Veterinary & Food Sciences, University of Idaho, Moscow, ID 83844, USA *mina@uidaho.edu and mjcolle@uidaho.edu
Introduction/Objectives: Vitamin E is an essential nutrient with antioxidant properties crucial for animal health and productivity. Understanding breed-specific differences in vitamin E metabolism can inform targeted nutritional strategies in lamb production.
Materials and Methods: This study aimed to assess vitamin E concentration variations among 3 lamb breeds: Dorper (hair; Group A; n = 7), Suffolk (wool; Group B; n = 7), and Composite (Dorper × Polypay/Targhee; Group C; n = 7). All 21 lambs were wethers, and the average age at the beginning of the trial was approximately 72 days (range: 69–79 d). Before the study, lambs consumed standard post-weaning forage-based rations. Hair lambs underwent a 30-d quarantine upon arrival at the facility—a prestudy protocol to ensure biosecurity—after which they were housed and managed identically to the other groups. During the trial, all lambs were fed a university-formulated total mixed ration containing 54.8% dry matter, formulated to meet NRC nutritional recommendations. After a standardized finishing period, lambs were harvested under USDA inspection, and loin muscle samples were collected for vitamin E analysis. Vitamin E levels were quantified using high-performance liquid chromatography (HPLC). A completely randomized design was used, and data were analyzed using a one-way ANOVA in SAS (v9.4) to assess breed differences.
Results: Results revealed significant differences (P < 0.05) in vitamin E concentrations across breeds: Dorper lambs had the highest levels (6.649 μg/g), followed by Composite (5.349 μg/g), and Suffolk lambs (4.381 μg/g).
Conclusion: These findings suggest that breed selection significantly influences vitamin E retention. The use of HPLC enabled the precise quantification of vitamin E concentrations in muscle tissue. Incorporating such information into breeding and feeding strategies may improve animal health and enhance meat quality in lamb production. These insights not only contribute to the field of animal nutrition but also have practical implications for optimizing carcass quality. Future research could explore the underlying physiological mechanisms driving breed-specific nutrient retention.
Keywords: breed selection, vitamin E.
180 Molecular Docking Studies to Detect Binding Locations of Nicotinamide-Adenine Dinucleotide Reduced Form in Bovine and Porcine Myoglobins
Greeshma Sreejesh1,*, Surendranath Suman2, Gretchen Mafi1, Morgan Pfeiffer1, and Ranjith Ramanathan1, 1Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA, 2Department of Animal and Food Sciences, University of Kentucky, Lexington, KY 40506, USA *greeshma.sreejesh@okstate.edu
Introduction/Objectives: Reducing equivalents, such as nicotinamide-adenine dinucleotide reduced form (NADH), have been well known for their biochemical activity in postmortem muscles. NADH has been studied for its role in metmyoglobin reduction by converting an oxidized ferric iron (Fe3+) state to a reduced ferrous iron (Fe2+) state in the presence of various cofactors and enzymes. In addition, studies have determined the role of NADH in mitochondrial oxygen consumption. However, there are limited studies that demonstrate how NADH interacts with myoglobin. In-silico docking studies can provide researchers with more insights into NADH ligand binding to the myoglobin receptor. The objective of this study was to perform a molecular docking simulation of NADH with homology-modeled myoglobin protein structures of bovine and porcine species, and to understand the binding location of NADH in the heme cavity space.
Materials and Methods: The Bos taurus (bovine) and Sus scrofa (porcine) myoglobin protein structures were modeled using the SWISS-MODEL homology modeling server. Several templates were generated for the query sequences of bovine (UniProt ID P02192) and porcine (UniProt ID P02189) myoglobins. The top-ranked myoglobin model templates were selected based on Global Model Quality Estimate, which were considered as receptors (in this case, myoglobin). The NADH ligand 3D structure was retrieved from the PubChem chemical database. The protein receptor and ligand structures were prepared for performing the docking process. In the protein receptor (myoglobin), missing atoms were repaired, and polar hydrogen and Kollman charges were added. In the NADH ligand, Gasteiger charges were added, and torsion was checked to see the number of rotatable bonds. Receptor and ligand structures were energy minimized using Avogadro molecule editing software. Both protein and ligand structures were saved in the pdbqt file format, a compatible file format for AutoDock docking software. Using the CASTpFold web server, the binding cavity residues surrounding the heme group were detected. A site-specific docking was performed in AutoDock Tools 1.5.7 by generating a grid box, and the active binding sites were detected using the CASTpFold web server. Docking was performed with AutoDock Vina using receptor and ligand pdbqt structures, setting the grid box dimensions and search space exhaustiveness to 10. Several docking conformations were generated and analyzed using PyMOL and LigPlot+ visualization tools.
Results: NADH formed 5 hydrogen bonds and 7 hydrophobic bonds with the bovine myoglobin-NADH complex. In the porcine-NADH complex, there were 7 hydrogen bonds and 2 hydrophobic contacts. In bovine, the hydrogen bonds formed by NADH were within 2.84 A° to Glu85, 3.22 A° to Leu89, 2.71 A° to Thr67, and 3.18 A° to His64 (distal histidine). In addition, NADH formed a hydrogen bond with the propionate group of the heme porphyrin ring with 3.18 A°. There were 7 residues involved in hydrophobic contacts that were towards the vicinity of the NADH ligand molecule; the residues were Ala71, Gly74, Thr70, Lys63, Lys45, Phe46, and His88. In the porcine-NADH complex, the NADH ligand formed 2 hydrogen bonds with Asp44 at 3.28 A° and 2.78 A°, 2 hydrogen bonds with Glu41at 2.91 A° and 2.76 A°, and one hydrogen bond with His97 showing 2.97 A°. NADH was forming a hydrogen bond interaction with Lys96 at a bond length of 2.83 A° and 3.02 A°. In porcine myoglobin, the propionate group of the heme porphyrin ring showed a hydrogen bond interaction with NADH at 3.09 A°. Lys42 and Lys98 showed non-ligand hydrophobic contact with NADH.
Conclusion: To date, meat science research has focused on the role of NADH in combination with various enzymes, such as NADH-dependent reductase or lactic dehydrogenase, on metmyoglobin reducing activity or mitochondrial oxygen consumption. This study indicates that NADH can interact with myoglobin directly via hydrophobic and hydrogen bonding. In addition, there are species-specific differences in how NADH interacts with bovine and porcine myoglobins. Increased hydrophobic contacts at the interface of the bovine myoglobin-NADH complex could hinder solvent exposure to the heme cavity space, which can reduce oxidation. The presence of hydrogen bonds near key residues such as His64 (distal histidine) in bovine myoglobin indicates that NADH may influence the conformation of the heme pocket, potentially affecting oxygen binding and release kinetics.
Funding Source: N/A.
Keywords: molecular docking, NADH, myoglobin.
181 Determining Glucose-4 Transporter Protein in Dark-Cutting Beef
Prabir Kumar Gharai*, Keayla Harr, Anuj Sharma, Morgan Pfeiffer, Gretchen Mafi, and Ranjith Ramanathan, Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA *pgharai@okstate.edu
Introduction/Objectives: Dark-cutting condition is characterized by lower glycogen content and high postmortem muscle pH. Depending on the severity of the dark-cutting condition, glycogen level and pH can vary. Lower glycogen content in dark-cutting conditions is attributed to chronic stress; hence, lower glycogen levels are seen in muscle before slaughter. Interestingly, lower glycogen in tissue can be attributed to lower deposition or faster utilization. Glucose transport and metabolism play a crucial role in adipose deposition and muscle development in mammals. Since glucose cannot freely cross the plasma membrane, its uptake is facilitated by glucose transporter proteins (GLUT) through passive diffusion. GLUT4 is the primary glucose transporter in skeletal muscle and adipose tissue, regulating cellular glucose uptake in response to stimulation. However, no knowledge is currently available on GLUT4 levels in dark-cutting beef. This study aimed to investigate GLUT4 expression levels in different dark-cutting beef longissimus lumborum muscles based on visual severities.
Materials and Methods: Dark-cutting loins of varying visual degrees of darkness were collected from commercial processing facilities (n = 6 for each category). All loins came from market age and grain-finished cattle. Dark-cutting loins were no-roll, and normal-pH was USDA Choice grade. Various dark-cutting severities include shady (pH 5.9, L* 37.0; L* indicates lightness on a scale of 0-100, lower value indicates darker color), moderate (pH 6.3, L* 35.4), and moderately severe (pH 6.4, L* 32.6). A USDA Choice normal-pH treatment was also included (pH 5.5, L* 37.6). Sarcoplasm was extracted from dark-cutting (n = 6), two-thirds dark-cutting (n = 6), one-half dark-cutting (n = 6), and normal-pH beef (n = 6) samples. Muscle tissue (5 g per sample), free of fat and connective tissue, was homogenized in 15 mL of 50 mM phosphate buffer (pH 7.2) for 30 s using a tabletop homogenizer. The homogenate was filtered through double-layered cheesecloth, and the filtrate was centrifuged at 20,000 × g for 20 min at 4 °C. The resulting supernatant was further filtered through cheesecloth and 0.22 μm syringe filters before biochemical assays. Glucose concentration was measured using a glucose assay kit, following the manufacturer’s protocol. Glycogen levels were quantified using a glycogen colorimetric assay per the manufacturer’s instructions. For GLUT4 protein expression analysis, longissimus lumborum muscle samples were lysed and homogenized in ice-cold RIPA buffer with 1% (2:1) protease and phosphatase inhibitor cocktail. Total protein was isolated and quantified using a BCA assay, and equal amounts of protein (20 μg) were separated on a 10% SDS-PAGE gel and transferred onto a PVDF membrane via electrophoresis. The membrane was blocked with 5% BSA in TBST for 1 h, followed by overnight incubation with a bovine species reactive anti-mouse primary antibody at 4°C. After 3 TBST washes, the membrane was incubated with an HRP-conjugated antimouse secondary antibody for 2 h at room temperature. Protein bands were visualized using a BIO-RAD ChemiDoc system with ECL chemiluminescence reagent, and band density was quantified using Image Lab 6.1 software. The data were analyzed using the Mixed procedure of SAS, and the significance was set at P < 0.05.
Results: The greater-than-normal postmortem pH in dark-cutting beef muscles indicates an inherent substrate inhibition mechanism or a limitation in glycogen metabolism. Glucose analysis revealed that normal-pH had the highest glucose level (P < 0.05) compared to other dark-cutting treatments. Both shady and moderate had similar (P > 0.05) glucose levels, but shady had greater (P < 0.05) glucose levels than moderately severe. Glycogen content was lower in moderate and moderately severe treatments than in shady treatment (normal-pH > shady > moderate = moderately severe; P < 0.05). GLUT4 expression was greater (P < 0.05) in normal-pH compared with shady dark-cutter in support of glycogen content. GLUT4 expression was lower in moderate and moderately severe treatments than in shady treatment (normal-pH > shady > moderate = moderately severe; P < 0.05). For example, GLUT4 protein expression was 1.1-, 2.3-, and 3.9-fold lower than normal-pH beef for shady, moderate, and moderately severe, respectively.
Conclusion: Muscle glucose and glycogen levels are important determinants of meat color and pH. Since glucose cannot freely cross the plasma membrane, its uptake relies on the GLUT4 transporter, which regulates glucose and glycogen availability in muscle tissue. Lower GLUT4 expression reduces glucose and glycogen levels, contributing to dark-cutting beef. The mechanistic basis for lower GLUT4 is not clear. Characterizing the factors that influence GLUT4 expression in dark-cutting animals will help to understand the etiology of its occurrence.
Funding Source: USDA-AFRI grant.
Keywords: glucose, glycogen, GLUT4, Western blot.
182 Intramuscular Fat Particle Characteristics of Bovine Longissimus Lumborum Muscle
Junyoung Park*1, Sumin Song1, Huilin Cheng1, Jaehoon Baek1, Hyun-Jun Kim2, and Gap-Don Kim1,2,3, 1Graduate School of International Agricultural Technology, Seoul National University, Pyeongchang 25354, Republic of Korea, 2Institutes of Green Bio Science & Technology, Seoul National University, Pyeongchang 25354, Republic of Korea, 3Research Institute of Agriculture & Life Science, Seoul National University, Seoul 08826, Republic of Korea *skyg5252@gmail.com
Introduction/Objectives: Variation in muscle morphology, muscle fiber characteristics, and intramuscular fat (IMF) of bovine M. longissimus thoracis et lumborum (LTL) is associated with the determination of meat quality properties. Marbling, the distribution of intramuscular fat (IMF), is a key factor affecting consumer meat selection. Considering the intramuscular variation and fat distribution between muscle fibers and muscle bundles, IMF particle distribution characteristics (number and size) are expected to vary within the LTL muscle depending on the location. This study aimed to evaluate the intramuscular variation in IMF particle characteristics in bovine LTL muscle.
Materials and Methods: A total of 30 Hanwoo steers were used to obtain a cut surface image between the last (13th) thoracic vertebra and the first lumbar vertebra. The images were captured after 30 min of blooming at 24 h postmortem using an optical device (ISG-202010-09, Korea Institute for Animal Products Quality Evaluation, Sejong, Republic of Korea). Loin-eye area and IMF particle size and number were analyzed using Image Pro Plus (Media Cybernetics, Rockville, MD, USA). Among the carcasses, the longissimus lumborum muscle at the first lumbar vertebra from 5 carcasses was obtained for analysis of muscle fiber pennation angle, proximate composition, and meat quality traits. Samples were cut into 2 regions based on muscle fiber orientation and were categorized as medial and lateral according to their transversal location. All data are expressed as mean and standard error using technical triplicates. A paired T-test was performed in the SAS program (SAS Institute, Cary, NC, USA) to analyze the differences between the lateral and medial regions of the longissimus lumborum muscle. Significant differences between regions were considered at P < 0.05.
Results: The relative muscle area was significantly larger on the lateral side than on the medial side throughout the LTL muscle (P < 0.05). Conversely, the pennation angle of the muscle fibers was higher in the medial region than in the lateral region (P < 0.05). The cut surface between the thirteenth thoracic and the first lumbar vertebra showed separation into 2 regions divided by aponeurosis. Proximate composition, color, drip loss, and cooking loss were not significantly different between the 2 regions (P > 0.05). However, the medial region showed significantly higher pH and lower shear force than that in the lateral region (P < 0.05). In the IMF particle analysis, the lateral region showed a significantly larger number of particles than the medial region (P < 0.05) and occupied a significantly higher proportion of the total particle number (P < 0.05), while IMF particle density did not show a significant difference (P > 0.05). The particle size was significantly larger in the medial region than in the lateral region (P < 0.05); however, the sum of IMF area and IMF area to the loin-eye area did not show a significant difference (P > 0.05). The IMF area ratio was significantly higher in the medial region than in the lateral region (P < 0.05).
Conclusion: Taken together, pH, shear force, and IMF particle characteristics differed between the 2 regions divided by muscle structure, while no significant difference was found in the proximate composition. The lateral region occupied a larger area in the loin-eye area compared with that of the medial region, and contained a higher number and smaller size of IMF particles. In contrast, the IMF particles in the medial region were larger in size and fewer in number. These results could be reflected in beef quality evaluation, considering marbling, and help consumers understand uneven marbling and meat quality within the same muscle and cut.
Funding Source: This study was supported by the National Research Foundation of Korea (NRF) grant funded by Korea government (MSIT) (RS-2025-00557162) and Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through High Value-added Food Technology Development Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (grant No. 321028-5).
Keywords: beef, striploin intramuscular, variation intramuscular, fat particle, characteristics.
183 Metabolomic Profiling of 6 Beef Muscles Varying in Muscle Fiber Type and Fat Content
M. Sebastian Hernandez* and Jerrad F. Legako, Texas Tech University, Lubbock, TX 79409, USA *Sebastian.Hernandez@ttu.edu
Introduction/Objectives: Intrinsic biochemical attributes of individual beef muscles influence quality attributes such as color stability, tenderness, and flavor. A prominent influencer of these attributes is muscle fiber type, in which muscles can be classified as “white” muscles, i.e., glycolytic, Type II fibers, “red” muscles, i.e., oxidative, Type I fibers, or intermediate muscles. Through untargeted metabolomic profiling, deeper insight into the metabolism of various beef muscles can be gained to further explain subsequent quality phenotypes. Therefore, the objective of this study was to profile the metabolomes of 6 beef muscles using gas chromatography-mass spectrometry and liquid chromatography with tandem mass spectrometry.
Materials and Methods: Fifteen beef carcasses with a marbling score of Moderate (600–699) and no quality defects were selected from a commercial processing facility in West Texas. Personnel from Texas Tech University collected beef striploins (IMPS #180), tenderloins (IMPS #189), goosenecks (IMPS #170), chuck rolls (IMPS #116), and top blade roasts (IMPS #114D) from each carcass. Subprimals were transported at (0–4°C) to the Gordon W. Davis Meat Laboratory in Lubbock, Texas. Upon return to the meat laboratory, subprimals were immediately fabricated into M. Longissimus lumborum (LL), M. Psoas major (PM), M. Semitendinosus (ST), M. Biceps femoris (BF), M. Infraspinatus (IF), and M. Serratus ventralis (SV) steaks. A steak from each subprimal was snap frozen and homogenized into a fine powder. Polar and semi-polar metabolites were extracted from 50 mg of homogenate using 80% ice-cold methanol. For gas chromatography-mass spectrometry, dried extracts were derivatized via methoximation and silylation. Derivatized metabolites were separated on a HP-5 capillary column, then ionized via electron ionization. Data were acquired within a mass range of 30 to 600 m/z. Reverse-phase liquid chromatography with tandem mass spectrometry was also conducted. Mass spectral data were acquired using positive electrospray ionization and data-independent acquisition within a mass range of 50 to 1,500 m/z. MS-DIAL was utilized for deconvolution, alignment, and annotation of mass spectral features. Feature intensities were normalized by the total ion current and log10 transformed. Data were analyzed by agglomerative hierarchical clustering and analysis of variance. Significance was determined at a false discovery rate (FDR) adjusted P < 0.05.
Results: Fifty-seven metabolites differed between muscles (FDR P < 0.05). Agglomerative hierarchical cluster analysis produced 2 primary clusters, where the PM, IF, and SV clustered separately from the LL, BF, and ST. Based on previous literature, these clusters are in alignment with fiber type, where the PM, IF, and SV are considered to be red/intermediate muscles and the LL, BF, and ST are considered to be white muscles. Carbohydrates such as D-sorbitol-6-phosphate, fructose-6-phosphate, glucose-6-phosphate, psicose, D-glucose, tagatose, and mannose were increased in BF, LL, and ST compared to PM, IF, and SV (FDR P < 0.05). L-Iduronic acid, a monosaccharide associated with the glycosaminoglycans of connective tissue, was more abundant in BF, LL, and ST compared to PM, IF, and SV (FDR P < 0.05). Conversely, metabolites associated with the citric acid cycle, such as malic acid, succinic acid, and methylmalonic acid, were most abundant in IF and SV compared to all other muscles (FDR P < 0.05). The PM had the greatest abundance of O-acetylcarnitine, an acylcarnitine associated with mitochondrial respiration, compared to all other muscles (FDR P < 0.05). Anserine, an endogenous antioxidant peptide, was least abundant in the IF compared to all other muscles (FDR P < 0.05). The BF had a greater abundance of L-phenylalanine, L-tyrosine, L-methionine, L-isoleucine, and lysine compared to all other muscles (FDR P < 0.05).
Conclusion: Through an untargeted metabolomic approach, these data further confirm the divergence of metabolism between “red” and “white” beef muscles. White muscles had increased carbohydrate substrate associated with glycolytic metabolism. Muscles from the chuck (IF and SV) had increased citric acid cycle-associated metabolites. Overall, these data have the potential to explain varying beef quality phenotypes associated with each muscle. Furthermore, results may be utilized to identify muscle-specific applications to improve quality, such as enhancement of antioxidant capacity for muscles inherently susceptible to oxidation.
Funding Source: This research was coordinated by the Beef Check-Off, a contractor of the National Cattlemen’s Beef Association.
Keywords: beef, metabolomics, mass spectrometry, chromatography.
184 Ascorbic Acid and Tomatine Encapsulated Zein Nanoparticle Prevent HNE-Induced Photooxidation of Myoglobin
Rishav Kumar* and Saji George, Department of Food Science and Agricultural Chemistry, McGill University, Quebec, H9X 3V9, Canada *rishav.kumar@mail.mcgill.ca
Introduction/Objectives: Retailers in the US and Canada place packaged meat products on shelves with display lights. The color of the meat is an important quality factor for consumer purchase decisions. Myoglobin is the water-soluble heme protein primarily responsible for the color of meat. Many factors contribute to meat discoloration, with light-induced lipid oxidation being a major factor in oxidative reactions and discoloration. The oxidation of n-6 polyunsaturated fatty acids, for example, forms 4-hydroxy-2-nonenal (HNE), a secondary lipid oxidation product. The food industry has been coping with color preservation through various methods, including the use of nitrates and synthetic colorants. Health risks of synthetic colors drive demand for natural antioxidants. Light, oxygen, and other internal and external factors easily oxidize natural antioxidants, rendering them ineffective or reducing their duration of action. Hence, we hypothesized that tomatine and ascorbic acid encapsulated in zein nanoparticles and studied their ability to enhance myoglobin redox stability under light.
Materials and Methods: Encapsulation of ascorbic acid and tomatine with zein was done by the phase separation technique. Stock solution of zein (2 mg/mL) and tomatine (5 mg/mL), prepared separately in 80% ethanol, was stirred overnight with a magnetic stirrer at 500 rpm. Five mL of tomatine stock solution was added dropwise into 30 mL of zein dispersion on a magnetic stirrer at 300 rpm for 30 min. The dispersion was added dropwise into 5 mL of DI water containing vitamin C:Tomatine (1:1 ratio) and stirred at 300 rpm overnight. Subsequently, the mixture was placed in an ice bath and probe sonicated for 3 min (3s on, 3s off) at 40% amplitude to form nZCT (vitamin C and tomatine encapsulated in nano-zein). The resulting suspension was centrifuged at 780 g for 25 min to remove large particles, and the sediment obtained was washed 3 times at 22,000 g for 20 min. The sediment obtained was freeze-dried to generate a powder of nZCT, which was stored at 4°C for further studies. For confirmation of successful encapsulation, we conducted scanning electron microscope (SEM), reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy, and dynamic light scattering (DLS) to find their zeta potential and hydrodynamic diameter. Equine OxyMb (0.650 mM; pH 5.6) was mixed with HNE (0.6 mM), whereas controls received an equal volume of ethanol equivalent to deliver HNE. Equine OxyMb (0.650 mM; pH 5.6) was mixed with HNE (0.6 mM) treatment, whereas controls received an equal volume of ethanol equivalent to deliver HNE in other samples. Treatments mixed equine OxyMb (0.650 mM; pH 5.6) with 100 mg/L of nZVcT, along with HNE or without HNE as a control, and samples were incubated at 25°C under a continuous fluorescent light source (1,200 Lux). Metmyoglobin (MetMb) formation was measured spectrophotometrically at 0, 2, 4, and 6 h of incubation. The experiments were replicated 6 times (n = 6). The data were analyzed using the Mixed procedure of SAS, and the significance was considered at the P < 0.05 level. We also conducted computational modeling to gain further insight into redox stability.
Results: FTIR results showed band shifts, including the O-H stretching band shifting to 3415.1 cm-1, indicating hydrogen bonding interactions. Additionally, the reduction in intensity at 1,640 cm-1 (amide I) and 1,510 cm-1 (amide II) suggests electrostatic interactions and successful encapsulation of vitamin C and tomatine within zein nanoparticles. There were 239.1 nm of particles in the nZCT complex on average, and the polydispersity index was 0.252, which means that the particles were spread out evenly. The zeta potential measured the surface charge of nZCT in the solution. The analysis of our complex sample showed that nZTC exhibited positive charges. The SEM pictures showed that the zein nanoparticles that hold tomatine and ascorbic acid had a rough, clumped shape with clear interparticle clustering that was caused by the drying process and wasn’t seen in the DLS measurements. Even though these particles were sticking together, a smooth outside that doesn’t have any cracks suggests that the active compounds were successfully encapsulated and kept within the protein matrix. The presence of light and HNE increased MetMb formation (P < 0.05). There was a time × treatment (HNE interaction) (P < 0.05) that resulted in metmyoglobin formation at pH 5.6. During the initial time period at 0 h, there were no differences (P > 0.05) between time × treatment (HNE interaction). After 6 h of light exposure, equineoxyMb+HNE had greater (P < 0.05) metmyoglobin than other treatments. At the same time, equine OxyMb + ethanol + ZnVcT had a lesser impact on light-induced oxidation among all treatments. The thermal stability of the controls and HNE-treated beef Mb samples was calculated by measuring the myoglobin denaturation at 71°C. The Mb samples were incubated at 71°C in a water bath for 10 min. EquineoxyMb + HNE had (P < 0.05) a lesser amount of oxymyoglobin; at the same time, it had a greater amount of metmyoglobin (P < 0.05), which supports the lesser thermal stability of equineoxyMb + HNE among all the treatments. The molecular docking study suggested that 4-hydroxy-2-nonenal (HNE) can bind with hydrophobic and nonpolar domains of metmyoglobin to cause oxidative damage.
Conclusion: The present study was able to successfully show that vitamin C and tomatine can be loaded into zein nanoparticles. Our study showed the effective role of nZCT nanoparticles in preventing HNE-induced oxymyoglobin photooxidation, preserving the red color of oxymyoglobin, and enhancing its thermal stability. This, in turn, leads to increased myoglobin redox stability against UV protection and thermal stability. Further research using meat products, sensory evaluation, and storage should ensure market acceptance of the encapsulated product, potentially useful in edible coatings or food formulations.
Funding Source: Natural Science and Engineering Research Council of Canada-Discovery Grant.
Keywords: photooxidation, meat color, myoglobin nanotechnology.
185 Electrochemical Properties and Thermal Stability of Bovine Myoglobin, Hemoglobin, and Cytochrome C
Anuj Sharma1,*, Runnan Li2, Silan Bhandari3, Surendranath P. Suman2, Gopan Krishnan3, Morgan Pfeiffer1, Gretchen Mafi1, and Ranjith Ramanathan1, 1Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA, 2Department of Animal and Food Sciences, University of Kentucky, Lexington, KY 40546, USA, 3Department of Chemistry, Oklahoma State University, Stillwater, OK 74078, USA *anuj.sharma@okstate.edu
Introduction/Objectives: Any deviation from consumer-preferred fresh and cooked meat color leads to less acceptance. Heme proteins play an important role in meat color, primarily contributed by myoglobin, although hemoglobin and cytochrome c also contribute to a lesser extent. Their levels vary by species; for example, poultry has more cytochrome c than beef. Although previous studies reported that myoglobin is more prone to oxidation than hemoglobin and cytochrome c, these heme proteins’ comparative ability to bind with oxygen has not been extensively studied from a meat color standpoint. Further, limited studies have characterized the heat denaturation properties of these proteins. This study hypothesizes that the redox behaviors and structural differences of bovine myoglobin, hemoglobin, and cytochrome c impact the color of raw and cooked meat. Therefore, the objective was to compare the reduction potential, oxygenation properties, structural differences, and thermal stability of bovine hemoglobin, myoglobin, and cytochrome c.
Materials and Methods: Lyophilized bovine myoglobin, hemoglobin, and cytochrome c (2.5 mg/mL each) were dissolved in 50 mM phosphate buffer at pH 5.6 and 6.4, centrifuged at 10,000 × g for 5 min, and adjusted to a consistent concentration at 525 nm. The reduced form of heme proteins was achieved using sodium hydrosulfite (0.1 mg per mg protein), with excess reagent removed via PD-10 desalting columns. The concentration level of reduced forms of heme proteins was recorded using a UV-VIS spectrophotometer. Oxymyoglobin, oxyhemoglobin, and reduced cytochrome c were incubated in glass tubes sealed with aerobic polyvinyl chloride film and stored at 4 °C under retail display lighting (1,200 lux) for 4 d. Redox stability was monitored daily by measuring absorbance (400–700 nm), and oxidation levels were calculated relative to initial readings. The experiment was replicated 4 times (n = 4). The electrochemistry approach helps to understand reduction potential changes in the microenvironment of heme. Electrochemical measurements of reduction potential and oxygen affinity were performed using cyclic voltammetry with polished high-purity graphite electrodes. Protein-coated electrodes were exposed to controlled oxygen concentrations (90–1,200 μM), and cyclic voltammetry scans were conducted in a phosphate buffer (pH 5.6 and 6.4) using a 3-electrode system with a potential range of 0.1 to -0.6 V at a 0.3 Vs-1 scan rate. Thermal properties were analyzed using a Discovery DSC 250, where samples (69.2–72.0 mg, 10 mg/mL protein) were sealed in DSC pans and heated from 20 to 100°C at 10°C/min, with onset temperature (T0), denaturation temperature (Tm), and enthalpy (ΔH) determined. Bioinformatics analysis involved sequence retrieval from UniProt, multiple sequence alignment using Clustal Omega W, and structural modeling via Swiss Model, with PyMol used to visualize redox-related residues and measure histidine-heme distances within 4 Å. Statistical analysis followed a completely randomized design with factorial arrangements for redox stability included heme proteins (myoglobin, hemoglobin, and cytochrome c), protein forms (oxidised and reduced), pH (5.6 and 7.4), and time (Day 0 and Day 4). The data were analyzed in R (Version 4.4.1), and the significance was set at P < 0.05.
Results: The oxidation rates of bovine myoglobin, hemoglobin, and cytochrome c varied (P < 0.05) based on pH, protein type, and storage time. Myoglobin exhibited the greatest oxidation (P < 0.05) changes among the 3 proteins, while cytochrome c showed the least oxidation (P < 0.05) at pH 6.4. On day 1, myoglobin exhibits greater (P < 0.05) oxidation at pH 5.6, followed by hemoglobin and cytochrome c. On day 4, both myoglobin and hemoglobin had greater oxidation than cytochrome c at pH 5.6. Myoglobin had greater oxidation than hemoglobin and cytochrome c at pH 6.4 on day 4 (myoglobin > hemoglobin > cytochrome c; P < 0.05). Electrochemical studies noted greater oxygen affinity and reduction potential at pH 6.4 (P < 0.05) for all 3 heme proteins than at pH 5.6. Cytochrome c exhibited the highest reduction potential and lowest oxygen affinity among the heme proteins. Differential Scanning Calorimetry (DSC) showed significant heme proteins and pH main effects for melting point (a greater value indicates more thermal stability). Cytochrome c was the most stable to heat compared with myoglobin and hemoglobin. Cytochrome c exhibits a higher melting temperature (84.78 ± 2.09°C; temperature at which protein starts denaturing) (P < 0.05) than myoglobin (79.55 ± 2.09°C) and hemoglobin (78.78 ± 2.09°C). Additionally, cytochrome c exhibited the highest onset temperatures in both states, with the reduced form at 81.46 ± 1.10°C and the oxidized form at 78.51 ± 1.71°C, higher (P < 0.05) than those of myoglobin and hemoglobin. The enthalpy of reduced myoglobin was higher (P < 0.05) than its oxidized state at both pH levels. Hemoglobin showed no significant difference in enthalpy between pH 5.6 and 6.4 in the reduced state, but the oxidized state had lower (P < 0.05) enthalpy at pH 6.4. Bioinformatics analysis provided insights into the sequence comparison and physicochemical properties of myoglobin, hemoglobin, and cytochrome c. Bovine myoglobin has the highest number of histidine residues (13), followed by hemoglobin alpha (10), hemoglobin beta (6), and cytochrome c with 3 histidine residues. Myoglobin had the highest instability index compared with other proteins [myoglobin (15.13) > cytochrome c (10.44) > hemoglobin alpha (5.49) > hemoglobin beta (2.15)]. Additionally, the cytochrome c had the highest number of covalent bonds in comparison to myoglobin and hemoglobin.
Conclusion: Myoglobin exhibited the highest oxidation rate, followed by hemoglobin and cytochrome c. The greater thermal stability of cytochrome c could be due to its higher number of covalent bonds and fewer histidine residues compared with myoglobin and hemoglobin. This study suggests that the heme protein structure influences stability in response to temperature and storage time. However, it is not clear how the lower redox stability of myoglobin will influence the oxidation of hemoglobin and cytochrome c. Characterizing the structure-function relationships in these 3 heme proteins will help understand their roles in meat discoloration and also elucidate cooked color defects, such as persistent pinking, particularly in poultry with higher cytochrome c content.
Funding Source: This research was in part funded by Ramanathan’s Endowed Chair Funds and USDA-NIFA Hatch Funds.
Keywords: myoglobin, hemoglobin, cytochrome, redox stability.
186 Investigating the Influence of Cooking on Alpha-Gal-Linked Species in Beef for Red Meat Allergy
Sabrina D. Lee1,*, Sara R. Hene1, Jordan T. Looper1, Yoonseong Park2, Erin S. Beyer1, Travis G. O’Quinn1, and Michael D. Chao1, 1Department of Animal Sciences & Industry, Kansas State University, Manhattan, KS 66506, USA, 2Department of Entomology, Kansas State University, Manhattan, KS 66506, USA *sabrina23@ksu.edu
Introduction/Objectives: Alpha-Gal Syndrome (AGS) is an acquired allergic reaction to galactose-alpha-1,3-galactose (α-Gal), a carbohydrate found on glycoproteins and glycolipids of most non-primate mammals. AGS is commonly triggered by bites from the Lone Star Tick (Amblyomma americanum), and sensitized patients can experience a variety of allergic symptoms, including potentially fatal anaphylaxis upon the consumption of mammalian-derived products. AGS affects approximately 450,000 individuals in the U.S., with cases continuing to rise. Despite its increasing prevalence, knowledge about AGS remains limited. While α-Gal is commonly associated with protein, it is also present in lipids. Previously, we documented that cooking does not remove α-Gal in glycoproteins of beef products (Kress et al., 2024). To better aid AGS patient care, it is necessary to quantify α-Gal content in all macronutrients of meat products. Thus, the objective of this study was to evaluate the effect of cooking on α-Gal quantity in different lipid classes of beef striploins.
Materials and Methods: Strip steaks (Longissimus lumborum) were collected from 10 beef carcasses (n = 10). Steaks were either left raw or cooked to 77°C. Total lipids were extracted from each sample and separated into either neutral or polar lipids through solid-phase extraction. Lipid extracts were adjusted to a concentration of 0.5 mg/ml with a spotting buffer (CHCl3: MeOH: 50 mM HCl [250:500:200 v/v]). A fat blot was then performed for each group, in which 10 μg of each sample was dotted onto a nitrocellulose membrane along with 0.01 μg of α-Gal conjugated phosphatidylethanolamine (PE) standard with a known α-Gal content. Additionally, spotting buffer and 10 μg of total chicken lipid were included as a blank and the negative control, respectively. Blots were allowed to fully dry, blocked, and incubated overnight with an anti-α-Gal IgG primary antibody, followed by incubation of a horseradish peroxidase-conjugated anti-IgG secondary antibody. An enhanced chemiluminescence substrate was added before imaging to stimulate the enzyme-substrate chemiluminescent reaction. The amount of α-Gal in each sample was calculated by standardizing each sample to the standard (810 pmol/μg lipid) and dividing by 10 to express the α-Gal concentration on a per μg of lipid sample basis.
Results: There was no interaction found between cooking and lipid class (P > 0.05); however, a main effect of lipid class was observed (P < 0.01). Polar lipids in beef strip steaks exhibited a higher average α-Gal concentration (21.71 pmol/μg lipid) compared to neutral lipids (3.72 pmol/μg lipid; P < 0.01). Cooking the beef strip steaks did not alter their α-Gal concentration (P > 0.05). The average α-Gal concentration in both lipid classes of raw strip steaks was 14.08 pmol/μg lipid, while those in the cooked samples averaged 11.35 pmol/μg lipid.
Conclusion: This study introduces a novel method for measuring α-Gal content in lipids and provides foundational data to support future research. The results showed how lipid class impacts α-Gal quantity, while cooking does not. This finding again demonstrated the heat stability of the α-Gal epitope regardless of its source. However, further investigation is needed to optimize this fat blot method to further minimize potential cross-reactivity of the α-Gal antibody and to explore the role of lipid-conjugated α-Gal in AGS. Advancing research in this area is critical for improving AGS treatment strategies, dietary management, sensitivity assessments, and overall patient outcomes.
Keywords: glycolipid, alpha-gal beef, alpha-gal syndrome.
187 Influence of Grass Versus Grain-Finishing and US Department of Agriculture Quality Grades on the Phospholipid Profile of Beef Striploins
Sara R. Hene1*, Jordan T. Looper1, Loni W. Lucherk2, Jerrad F. Legako3, Mark F. Miller3, Travis G. O’Quinn1, Ruth Welti4, and Michael D. Chao1, 1Department of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA, 2Department of Agricultural Sciences, West Texas A&M University, Canyon, TX 79016, USA, 3Department of Animal and Food Sciences, Texas Tech University, Lubbock, TX 79409, USA, 4Kansas Lipidomics Research Center, Division of Biology, Kansas State University, KS 66506, USA *srhene@ksu.edu
Introduction/Objectives: In beef, phospholipids have been identified as a key factor influencing the flavor profile before cooking. While past research has established beef flavor differences between grass- and grain-fed beef, as well as beef across different USDA quality grades, limited work has been done to examine how feeding regime and quality grade may impact the phospholipid profile of beef. Therefore, the objective of this study was to investigate the effects of grass- versus grain-feeding and USDA quality grade on the phospholipid profile of beef.
Materials and Methods: Sample collection and fabrication procedures are described in detail by Lucherk et al. (2022). Briefly, 2 hundred beef striploins (N=200; 20 per quality grade x feeding type) were collected from New Zealand grass-fed and U.S. grain-fed cattle representing 5 USDA quality grades (Standard, Select, Low Choice, Upper 2/3 Choice, and Prime). Grass-fed striploins were collected from an abattoir on the North Island of New Zealand, where cattle had year-long access to grass, while grain-fed samples were sourced from a commercial facility in Nebraska, USA. Samples were collected to ensure that variation within cattle lots was well represented. Following collection, striploins were fabricated into steaks and frozen within 5 d postmortem. Total lipid was extracted from each sample and normalized to the dried lipid weight. Samples were submitted to the Kansas Lipidomics Research Center to determine the comprehensive phospholipid profile of each sample using electrospray ionization tandem mass spectrometry (ESI-MS/MS). Production analysis was also conducted to further identify the potential fatty acid combinations for each phospholipid species. To analyze the phospholipid profile, a SAS macro was developed to automate the comparison of individual phospholipid species across treatments using the GLIMMIX procedure. Statistical significance was determined at P < 0.05.
Results: There were 353 unique phospholipid species identified through the targeted lipidomics. Regardless of finishing method, as quality grade increased, the quantity of phospholipids decreased in the total lipid extract (Standard: 321.19, Select: 281.27, Low Choice: 143.19, Upper 2/3 Choice: 103.84, and Prime: 63.95 nmol/mg total lipid; P < 0.05). Each apparent lipid species is displayed as total acyl carbons: total double bonds. Additionally, mol% data depicts the distribution of each phospholipid species in relative % to total phospholipid, only, independent of neutral lipid content. These data showed that beef from grass-fed cattle had a greater relative abundance of phosphatidylcholine (PC) 32:1, 34:1, 36:1, 36:5, and 38:5 than their grain-fed counterparts (P < 0.05). On the other hand, grass feeding resulted in lower relative abundances of PC 34:2, 36:2, 36:3, and 36:4 compared to grain-fed, independent of USDA quality grade (P < 0.05). Additionally, grass feeding increased the relative abundance of ether-linked phosphatidylcholine (ePC) 34:2 and 38:5 abundance while decreasing the relative abundance of ePC 36:3 and 36:4 (P < 0.05). We also observed an increase in the relative abundance of phosphatidylethanolamine (PE) 36:1, 40:5, and 40:6 in beef from grass-fed cattle, though grass feeding decreased the relative percentage of PE 36:2 (P < 0.05). Finally, phosphatidylinositol (PI) 38:4 was lower in mol% of beef from grass-fed animals (P < 0.05). USDA quality grade also influenced the phospholipid profile. As quality grade improved, the relative percentage of PC species 32:1 increased while PC 36:3, 36:4, 36:5, and 38:5 decreased in mol% with increasing quality grade across both feeding strategies (P < 0.05). Conversely, PC 34:1 increased while 34:2, and 36:2 decreased in mol% only in grain-fed steers with quality grade improvements but remained the same regardless of quality grade in grass-fed animals (P < 0.05) Moreover, PE 36:1 and 40:5 relative percentage increased with USDA quality grade in grass-fed steers only, while PE 36:2 increased in mol% for both feeding strategies (P < 0.05).
Conclusion: As the quality grade increased, we saw a dilution effect of the phospholipid fraction of the total lipid extract, likely due to an increase in neutral lipid content. However, while the proportion of phospholipids decreased with increased quality grade, such a decrease did not impact all phospholipid species equally, and differences were observed within certain individual phospholipid species. These data also show that the phospholipid profile of beef can be influenced by the nutritional management of cattle. Potentially, these differences may account for the known differences in beef flavor and aroma between grass- and grain-fed cattle, though deeper exploration into the implications of each lipid species on ultimate flavor and aroma is necessary. This is one of the first comprehensive overviews of the influence of animal diet and USDA quality grade on phospholipid dynamics and lipid profile. This research is fundamental to expanding our knowledge of the complexities of beef flavor and aroma.
Keywords: grass-fed, grain-fed, lipidomics, phospholipid species.
188 Beta-Adrenergic Agonists Alter Metabolite Utilization Independent of a Fiber Type Shift
Sidney Munk1*, Linnea Rimmer1, Erin Beyer1, Jessie Vipham1, Michael Chao1, Jessica Woodworth1, Travis O’Quinn1, David Gerrard2, Morgan Zumbaugh, 1Department of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA, 2School of Animal Sciences, Virginia Tech, Blacksburg, VA 24061, USA *samunk@ksu.edu
Introduction/Objectives: A growing population with diminishing agricultural inputs calls for the livestock industry to incorporate strategies for greater production efficiency. Understanding the biochemical pathways that skeletal muscle utilizes to metabolize nutrients in livestock species can aid in this effort. In fact, an increase in glycolytic enzymes is associated with superior production efficiency in growing pigs. To investigate changes that occur as the metabolic profile of skeletal muscle shifts, we supplemented pigs with the beta-adrenergic agonist ractopamine hydrochloride (BAA). This pharmacological agent provides an ideal model to induce a metabolic shift without altering genetics, nutrition, or management strategy. Therefore, the objective of this study was to define the BAA-mediated metabolic response in skeletal muscle with inherently different metabolic profiles.
Materials and Methods: A total of 18 finishing pigs (DNA 600 X 241 barrows; DNA Genetics) were fed a standard commercial swine diet supplemented with 16% crude protein to accommodate the higher protein demands of BAA feeding. Five pigs were randomly divided into 4 pens. After 1 wk of acclimation, barrows were fed diets containing either 0 g/ton (control) or 9 g/ton ractopamine hydrochloride (BAA; n = 10). After 2 wks of BAA feeding, control (n = 8) and BAA (n = 10) pigs were harvested over 3 consecutive days. Two control pigs died during the 2-wk feeding period. Four muscles were harvested from each pig to represent metabolic profiles ranging from glycolytic to oxidative: Longissimus dorsi (LD), Latissimus dorsi (LAT), Semitendinosus (ST), and the Masseter (MS). Muscles were evaluated for myosin heavy chain isoforms (MyHC), lactate dehydrogenase alpha (LDHa), pyruvate carboxylase (PC), and succinate dehydrogenase alpha (SDHa) protein abundance. Activity of phosphofructokinase (PFK) was also assessed. Further, glucose, glucose-6-phosphate (G6P), and lactate concentrations were measured. To determine if BAA supplementation altered pyruvate utilization in the tricarboxylic acid (TCA) cycle, mitochondria were isolated from LD, LAT, and MS muscles and incubated with [13C3]-pyruvate in an in vitro tracing assay. Data were analyzed as a split-plot design with treatment as the whole plot factor and muscle as the sub-plot factor. Data were considered significant when P ≤ 0.05, and means were separated by pairwise comparisons. All data were analyzed using R (version 4.2.1, Indianapolis, IN, USA).
Results: To determine if BAA feeding induced changes in fiber type, MyHC isoforms were measured because this approach is the traditional method of muscle fiber type classification. Although there were muscle differences in MYH7, MYH2, MYH1, and MYH4 isoforms (muscle; P < 0.05), there were no treatment differences (P > 0.05). The half-life of myosin is approximately the duration of BAA feeding, which may partially explain the lack of BAA-induced changes in MyHC isoforms. Therefore, we evaluated glycolytic and oxidative enzymes to assess metabolic adaptations that may occur without altering the MyHC isoforms present. While there were differences in PFK activity, LDHa protein abundance, or SDHa protein abundance between muscles evaluated (P < 0.05), there were no treatment differences (P > 0.05). However, the abundance of PC decreased in all BAA muscles compared to control muscles (P < 0.05), which suggests BAA feeding may diminish oxidation of the glycolytic end product pyruvate. To investigate changes in glycolytic flux, concentrations of glucose, G6P, and lactate were measured. In addition to differences in these glycolytic intermediates across muscles, glucose and G6P decreased in all BAA muscles compared to control muscles (P < 0.05). However, lactate concentration did not differ between BAA and control muscles, suggesting BAA feeding prioritizes the utilization of diminished glycolytic intermediates in the Cori cycle. To determine if BAA mitochondria decrease pyruvate oxidation, isolated mitochondria were incubated with [13C3]-pyruvate. These data indicate changes in the amount of an isotopomer derived from pyruvate rather than the total amount of an intermediate present. Isotopic enrichment of oxaloacetate (OAA) M + 2 increased in BAA LAT mitochondria compared to control LAT (P < 0.05). In addition, OAA M + 2 increased in BAA LAT mitochondria compared to control and BAA MS mitochondria (muscle * treatment; P < 0.05). In addition, citrate M + 2, M + 3, M + 4, and a-ketoglutarate M + 4 and M + 5 enrichment decreased in BAA LAT mitochondria compared to all other mitochondria (P < 0.05). Further, citrate M + 6 and a-ketoglutarate M + 2 and M + 3 enrichment decreased in BAA mitochondria (P < 0.05). Collectively, these data demonstrate that BAA supplementation induced changes in mitochondrial pyruvate utilization independent of frequently measured indicators of metabolic shifts.
Conclusion: Although BAA supplementation did not stimulate changes in MyHC isoforms or most metabolic enzymes evaluated, we provide evidence that glucose utilization is altered in all BAA muscles evaluated. Further, pyruvate oxidation is diminished in BAA mitochondria, which appeared to occur in a muscle-specific manner within the LAT. While there are multiple methods used to define skeletal muscle metabolism, our findings demonstrate the intricacies of evaluating metabolic changes in skeletal muscle. Additional investigations are necessary to define mechanisms that drive metabolite utilization in skeletal muscle to aid in the effort to increase porcine production efficiency.
Funding Source: Supported by Animal Nutrition, Growth, and Lactation, award no. 2022-67015-36202, from the U.S. Department of Agriculture’s National Institute of Food and Agriculture.
Keywords: mitochondria, nutrient utilization, ractopamine, metabolism.
189 Absolute Quantification of Bovine-Specific Micrornas Uncovers Their Differential Stability During Aging, Cooking, and Simulated Digestion
Nadini H. Gamage*, Brad S. Ferguson, and Amilton de Mello, University of Nevada, Reno, NV 89557, USA *ngamage@unr.edu
Introduction/Objectives: MicroRNAs (miRNAs) are small non-coding molecules containing approximately 18 to 22 nucleotides. They participate in post-translational events, silencing the expression of genes and, consequently, altering protein synthesis. Research conducted by our laboratory has demonstrated that beef-derived miRNAs (bta-miRNAs) survive aging, thermal processing, and digestion, remaining available in the gastrointestinal tract (GIT) for further absorption. In this study, we determined the absolute quantification (femtomoles) of 5 bta-miRNAs (2340, 2440, 2453, 2484, and 11988), which are non-homologous to human miRNAs (hsa-miRNAs).
Materials and Methods: Sample collection and processing: Bovinem. The semimembranosus was collected from 5 carcasses at Wolf Pack Meats, the University of Nevada, Reno, USDA-inspected facility during initial chilling. The samples were vacuum packed and aged for 14 d. Subsequently, samples were cooked until 71°C and digested in vitro using pepsin and trypsin. The concentration of 5 specific bta-miRNAs was estimated in fresh, aged, cooked, and digested beef using real-time quantitative PCR (RT-qPCR). Laboratory analysis: Total RNA was extracted from each sample group (n = 5), and the purity and concentration of the total RNA were measured using a NanoDrop spectrophotometer. The isolated RNA was reverse transcribed to cDNA. Absolute quantification of the selected miRNAs was carried out using RT-qPCR with miRNA-specific primers. A standard curve was generated with the samples using synthetic mimic miRNAs corresponding to each target. A ten-fold dilution series was prepared with concentrations ranging from 1000 femtomoles (fmol) to 0.001 fmol as input for the RT reaction. Then, the RT reaction products were used as templates for qPCR. A standard curve was generated by plotting Cq values against the logarithm of the starting miRNA concentrations. The Ct values obtained from the standard curve were used to interpolate the absolute concentration of each miRNA starting quantity in the samples. The concentration of target miRNA was directly normalized to total RNA. All RT-qPCR reactions were performed in duplicates. Statistical analysis: The data were analyzed using a complete randomized design in SAS (SAS Institute Inc., United States), with processing level (Fresh, Aged, Cooked, and Digested) considered the fixed effect. The level of significance was P ≤ 0.05.
Results: The concentrations of all miRNAs, except bta-miRNA 2453, significantly changed as samples aged, were cooked, and digested. Surprisingly, the highest concentrations of target miRNAs were detected in aged samples, suggesting that postmortem metabolism increases their absolute concentration. When the thermal process and a simulated digestion process were applied, the concentrations of bta-miRNA 2340, 2440, and 2484 decreased significantly. However, for bta-miRNA 11988, the concentration significantly increased.
Conclusion: MicroRNAs are present in femtomolar (fmol/mg) concentrations (10^15) in the gastrointestinal tract (GIT). Those concentrations are similar to those of available vitamins usually absorbed by the GIT cells. Therefore, exogenous microRNAs derived from beef can also be absorbed in the GIT and reach circulation.
Concentration (fmol/mg) of bta-miRNAs in fresh, aged, cooked, and digested beef
| Processing Level | ||||||
|---|---|---|---|---|---|---|
| bta-miRNA | Fresh | Aged | Cooked | Digested | stderror | P Value |
| 2340 | 1.36b | 17.30a | 2.27b | 3.77b | 0.88 | <.0001 |
| 2440 | 0.15c | 43.47a | 15.84b | 10.42b | 2.87 | <.0001 |
| 2453 | 0.35 | 0.54 | 0.67 | 0.42 | 0.10 | 0.139 |
| 2484 | 47.16b | 209.22a | 41.13bc | 20.03c | 7.95 | <.0001 |
| 11988 | 5.42d | 250.73a | 74.96c | 166.06b | 23.31 | <.0001 |
a,bMeans within a row with different superscripts are statistically different (P < 0.05). stderror = Standard error of the mean.
Funding Source: Ottoboni Endowment Fund.
Keywords: nutrigenomics, microRNA, beef.
190 Role of Early Postmortem pH in Desmin Degradation: Implications for Final Pork Loin Quality
Isaac White*, Mackenzie Griffin, Emma Frank, Cydne’ Jess, Logan Johnson, Steven Lonergan, and Elisabeth Huff-Lonergan, Iowa State University, Ames, IA 50011, USA *iawhite@iastate.edu
Introduction/Objectives: Variation in pork loin quality continues to be an issue within the industry. Our overall objective is to develop methods for predicting fresh pork quality that address the variation observed among fresh products. It is well understood that muscle pH and postmortem protein degradation impact fresh pork quality. Specifically, desmin degradation products and early postmortem pH have been suggested to be predictive of fresh pork quality. By using pork loins from distinct 1-d postmortem pH categories, our goal was to clarify how desmin degradation contributes to quality in aged pork. This project aimed to advance the understanding of how variation in postmortem pH measured at 1-day post-harvest affects the quality of aged fresh pork loins. A second aim was to examine the impact of pH classification on the abundance of desmin degradation product within the whole muscle of porcine longissimus dorsi (LD) when aged to 7 and 14 d.
Materials and Methods: The loins were previously characterized as part of a larger study to analyze fresh pork quality (Jess et al., 2025). Fresh pork loins (N = 50) were selected from a production line of a commercial facility at 1 d postmortem. The product was sorted by 1 d postmortem pH into low/normal (L, n = 25, pH 5.59–5.71) and high/normal (H, n = 25, pH 5.90–6.46) categories. Loin chops were aged 1, 7, and 14 d. Characterization of loin quality was previously reported for drip loss, cook loss, instrumental tenderness (star probe), and sensory characteristics, including off-flavor, pork flavor, juiciness, tenderness, and chewiness. Sensory characteristics were evaluated by a trained panel on a 10-point scale, 10 being the highest degree of each characteristic. Desmin degradation at 7 and 14 d was evaluated in whole-muscle protein extracts from the LD prepared in 10 mM sodium phosphate, pH 7.0, and 2% SDS (wt/vol). Desmin degradation products were determined using Western blotting, with each sample in at least 2 duplicates. After blocking, polyclonal rabbit anti-desmin primary antibody was diluted 1:40,000 in PBS-Tween [80 mM Na2HPO4, anhydrous, 20 mM NaH2PO4, 100 mM NaCl, 0.1% (vol/vol) polyoxyethylene sorbitan monolaurate (Tween-20)], applied to blots, and incubated overnight at 4°C. After washing in PBS-Tween, blots were incubated with secondary antibody, conjugated goat anti-rabbit-HRP (31460, Thermo Scientific), diluted 1:20,000 in PBS-Tween for 1 h at room temperature. Chemiluminescence was used to detect immunoreactive bands using a Thermo Fisher Scientific iBright FL1500 Imaging System and analyzed on iBright Analysis Software. Relative band intensity was measured by densitometry, whereby the ∼55 kDa intact bands and ∼38 kDa degradation bands were compared to their corresponding band of the reference (a combination of all 1-d and 14-d samples) present on every blot. Rolling background correlation volume (RBCV) of each band of interest was divided by the corresponding RBCV band of the internal reference, and this ratio was utilized as the relative band intensity measurement for the sample. Desmin Western data were analyzed using R Studio v 4.4.1 for ANOVA to determine the effect of pH classification and compute least square means. Desmin degradation analysis included SDS-PAGE gel as a random effect.
Results: The sensory data from Jess et al. (2025) found that these 14-d-aged H chops had greater scores for juiciness (P < 0.01), tenderness (P < 0.01), were less chewy (P < 0.05), had greater pork flavor (P < 0.01), and less off-flavor (P < 0.01) compared to the L chops. For instrumental tenderness, H chops had lower star probe values compared to chops from the L group at both 7-d (P < 0.01) and 14-d (P < 0.01). Loin chops from the H group exhibited approximately 19% less cook loss than chops from the L group at all aging times (P < 0.01). Drip loss within the L chop group was significantly greater (∼78%) than that of the H chop group (P < 0.01). In the current study, the 7-d-aged chops showed a significant difference (P<0.01) in the amount of intact desmin between H chops (mean = 0.56) and L chops (mean = 0.82). The <https://manager.submittable.com/user/submissions/50166014/formrequest/8adfc00c-aeae-466c-bb18-1693e8bbb50a>estimated average relative band intensity ratio of intact desmin of the L chops was 0.225 (SE = 0.07) greater than in the H chops, indicating that there was less intact desmin in the H chops at 7 d postmortem. At 14 d, there was no significant difference in the level of intact desmin between L and H groups (P = 0.18). However, at 14 d, there was a significant difference in the level of degraded desmin product (P < 0.05) between the H chops (mean = 2.82) and L chops (mean = 2.11). H chops had an average relative band intensity estimated to be 0.68 (SE = 0.32), greater than the L chops. This indicates that there were more desmin degradation products present in the H chops at 14 d postmortem.
Conclusion: Loin chops from the high-pH group (H) had better quality measures compared to the low-pH group (L). The whole-muscle samples from the high-pH loin chops also showed evidence of greater desmin degradation at both time points, which indicates that desmin degradation may be predictive of quality. The results of these studies support 24 h postmortem pH and desmin degradation product in aged pork loins as a viable predictor of value in pork loins. Jess, C. E., Johnson, L. G., Prusa, K. J., Lonergan, S. M., & Huff-Lonergan, E. J. (2025). “Fresh Pork Loin pH Influences Meat Quality and the Presence of Desmin Degradation Products,” Meat and Muscle Biology 9(1): 18426, 1-13. doi: https://doi.org/10.22175/mmb.18426
Funding Source: Iowa Agricultural and Home Economics Experiment Station project no. IOW04121 Iowa Pork Producers Association.
Keywords: desmin, fresh pork quality, pH.
191 Time-Course Peptidomic Profile to Characterize Postmortem Proteolytic Cleavage Sites in Bovine Skeletal Muscle Proteome
Arya Niraula1, Chen Zhu1, Chaoyu Zhai1*, Jeremy L. Balsbaugh2, and Jennifer C. Liddle2, 1Department of Animal Sciences, University of Connecticut, Storrs, CT 06269, USA, 2Center for Open Research Resources and Equipment, Proteomics and Metabolomics Facility, University of Connecticut, Storrs, CT 06269, USA *arya.niraula@uconn.edu
Introduction/Objectives: Protein proteolytic cleavage is an irreversible protein post-translational modification during biological processes. Different protease families have differing preferences for the amino acid (AA) composition for proteolytic cleavage, and proteolytic cleavage sites of a protein can also be informative of biochemical events. Although activation cleavage sites were documented for proteases like calpains and caspases, there is limited understanding of protein cleavage sites in the scope of the whole proteome and their relation to meat quality development, primarily because the workflow typically implemented in routine bottom-up proteomics ignores atypical proteolysis patterns of endogenous proteins targeted for degradation. Peptidomics is the mass spectrometry-based quantification and identification of endogenous peptides. Our previous studies have applied peptidome-based quantification to identify the proteins with increasing degradation along the extension of postmortem time. Therefore, the objective of this study was to use the peptidome profile to characterize proteolytic cleavage sites in the precursor proteome during the postmortem period.
Materials and Methods: Longissimus lumborum muscle biopsy samples were collected from carcasses (n = 8) at 2 h, 48 h, and 336 h (14 d) postmortem from a commercial beef processing facility. After endogenous peptide extraction, enrichment, and desalting, isolated peptides were separated by UPLC and analyzed by HCD/ETD MS/MS analysis using an Orbitrap Eclipse Tribrid. Peptide identification and quantification were achieved using MaxQuant and matched against the UniProt bovine reference proteome. Abundances and AA compositions of cleavage sites were summarized based on peptide abundances and precursor protein sequences. Using limma package in R, the abundance of AA compositions at P1-P1’ positions (P1: first amino acid at N-terminal direction of the cleaved peptide bond; P1’: first amino acid at C-terminal direction of the cleaved peptide bond) and the abundance of cleavage sites in precursor proteome were compared among different postmortem time points (48 h versus 2 h; 14 d versus 48 h; 14 d versus 2 h) while considering sample correlation from the same animal. Differentially abundant AA compositions (DAACs) and differentially abundant cleavage sites (DACSs) were identified using Benjamini–Hochberg multiple testing with adjustment at P < 0.05, fold change above 2, and missing value less than two-thirds of observations. Cleavage sites in precursor protein with exclusive absence or presence at a time point are filtered based on the identification frequency (≥ 50% for presence; 0% for absence).
Results: 3,860 peptides were quantified and matched to 244 precursor proteins, corresponding to 4,781 cleavage sites and 364 AA compositions at P1-P1’ positions. A total of 253 DAACs were identified (P < 0.05) in the comparisons among 3 time points: 48 h versus 2 h (110 with increased abundance; 3 with decreased abundance), 336 h versus 48 h (216 with increased abundance; 5 with decreased abundance), and 336 h vs. 2 h (171 with increased abundance; 2 with decreased abundance). From 2 h to 48 h postmortem, the top 5 AA compositions in the share of abundance change in all P1-P1’ positions are glutamate-alanine (14.1%), histidine-glutamate (12.3%), methionine-serine (8.6%), methionine-proline (4.8%), lysine-serine (4.2%). From 48 h to 336 h postmortem, the top 5 AA compositions in the share of abundance change in all P1-P1’ positions are histidine-glutamate (12.5%), glutamate-alanine (9.9%), methionine-serine (5.2%), glycine-leucine (3.9%), and glutamine-serine (2.6%). A total of 533 DACSs were identified (P < 0.05) in the comparisons among 3 time points: 48 h versus 2 h (100 with increased abundance; 14 with decreased abundance), 336 h versus 48 h (405 with increased abundance; 44 with decreased abundance), and 336 h versus 2 h (117 with increased abundance; 15 with decreased abundance). In total, 1543 cleavage sites indicated exclusive presence or absence at one of the 3 time points: 361 with exclusive absence and 36 with exclusive presence at 2 h postmortem, 54 with exclusive presence and 5 with exclusive absence at 48 h postmortem, and 1,060 with exclusive presence and 27 with exclusive absence at 336 h postmortem. Cleavage sites with increased abundances in each or both postmortem periods were identified in glycolytic enzymes (e.g., glycogen phosphorylase, phosphofructokinase-1, glyceraldehyde-3-phosphate dehydrogenase, and pyruvate kinase), myofibrillar and cytoskeleton proteins (e.g., α-actin, β-actin, bridging integrator 1, troponin subunits, desmin, nebulin, myozenin, and myomesin), proteases (e.g., calpain-1 catalytic subunit and calpain small regulatory subunit), oxidative phosphorylation (e.g., Complex I and IV), transport protein (e.g., myoglobin) and calcium homeostasis (e.g., sarcoplasmic reticulum calcium ATPase 1 and 2).
Conclusion: To the best of our knowledge, this time-course peptidome-based method comprehensively mapped the proteolytic cleavage sites of precursor proteome in postmortem muscle for the first time. Peptidome profile can effectively identify the postmortem cleavage site of meat tenderness biomarkers and the novel cleavage events of key proteins in meat color. The major AA compositions at the cleavage site differ between 2 h-to-48 h and 48 h-to-336 h postmortem. The abundances of proteolytic cleavage sites are protein-dependent and are affected by the postmortem period. Further study is warranted to apply peptidomics to muscle biology and meat quality research.
Funding Source: Startup Package.
Keywords: postmortem, proteolytic cleavage site, muscle.
192 Tandem Mass Tag Labeling and Compartmental Protein Extraction Approach for Proteomic Profiling of Varying Severities of Dark-Cutting Longissimus Lumborum Beef
Anuj Sharma1,*, Steven D. Hartson2, Keayla Harr1, Morgan Pfeiffer1, Gretchen Mafi1, and Ranjith Ramanathan1, 1Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA, 2Department of Biochemistry and Molecular Biology, Oklahoma State University, Stillwater, OK, 74078, USA *anuj.sharma@okstate.edu
Introduction/Objectives: Dark-cutting condition has a worldwide occurrence and can result in significant economic losses. It is a condition where beef fails to exhibit a bright cherry-red color when the cut surface is exposed to air, and the dark-cutting carcasses are discounted during grading. To date, limited studies have evaluated the varying visual severities of dark-cutting beef and subsequent impacts on its proteomic profiles. The hypothesis was that visual severity would impact proteins involved in glycogen metabolism. Therefore, the objective of this study was to evaluate the impact of varying degrees of dark-cutting severity on the proteome of longissimus lumborum using compartmental protein extraction and tandem mass tag (TMT) labeling.
Materials and Methods: Beef carcasses (n = 6 per treatment) were selected from commercial beef processing facilities based on the visual assessment of dark-cutting severity at the time of grading. After fabrication, striploins were collected, representing varying degrees of dark-cutting: shady, moderate, and moderately severe. A normal-pH cherry-red control was also included. One 2.54-cm steak was cut from each loin for color, pH, and proteomics analysis. The color readings were analyzed using a HunterLab MiniScan EZ spectrophotometer, and the pH was measured using a handheld pH meter. The proteins were extracted using the Compartment Protein Extraction Kit with slight modifications in the protocol and quantified using the BCA Protein Assay Kit. As per the kit’s protocol, fraction 1 contained cytoplasmic and cytoskeletal proteins, whereas fraction 2 contained nuclear and membrane proteins. The initial quality of protein from different fractions was analyzed using SDS-PAGE gel. The lysates were digested using the S-Trap™ mini spin column digestion protocol with a slight modification. To determine concentration, an aliquot of trypsinolytic peptides was assayed by peptide fluorescence following the manufacturer’s protocols. TMT10-plex reagents were dissolved in anhydrous acetonitrile to a concentration of 40 μg/μL. Peptide labeling was completed using 100 μg TMT reagent and 40 μg peptides. Orthogonal fractionation was completed using high-pH reversed-phase peptide fractionation spin columns. TMT-labeled fractions were analyzed on an Easy-nCL 1200 HPLC coupled to an Orbitrap Fusion Hybrid mass spectrometer. Instrument RAW files were searched using MaxQuant (version 2.0.3.0) against a bovine reference proteome from UniProt. MaxQuant output was analyzed using Perseus (version 1.6.5.0). Significant differences in protein expression were determined by Student’s T-test. P value significant thresholds were determined by the Benjamini–Hochberg procedure using a false discovery rate of 0.05. David version 6.8 was utilized to classify gene ontology enrichment analysis of the functional categories of the differentially abundant proteins. Key pathways involved in postmortem metabolism were analyzed using the Cytoscape (V.3.7.1; https://cytoscape.org/) WikiPathway plugin and R packages (pathview).
Results: The pH was significantly higher (P < 0.05) in moderately severe and moderate dark-cutting steaks compared to normal and shady steaks. Additionally, moderately severe steaks exhibited a lower (P < 0.05) bloomed a* value than normal and shady dark-cutting steaks, while moderate dark-cutting steaks displayed an intermediate a* value. A total of 2,144 proteins were detected in fraction 1, and 3,449 proteins were detected in fraction 2 (for fraction 2, data are under analysis). Out of 2,144 proteins in fraction 1,967 and 98 were differentially abundant proteins in moderately severe and moderate dark cutters, respectively, with no significant differentially abundant proteins in shady steaks. In moderately severe dark-cutting steaks, proteins related to glycogen metabolism were downregulated, while gluconeogenesis and electron transport chain pathways were upregulated. For moderate steaks, there were no detections of protein involved in the mentioned pathways; however, proteins involved in the TCA cycle were downregulated significantly. Although there are no significantly different proteins in the shady dark-cutting beef, various proteins are detected that exhibit a fold change of more than 2.0. Furthermore, moderately severe dark-cutting beef had an abundance of proteins involved in different pathways, such as hypoxia-inducing factor signaling pathways, pyruvate metabolism, and pentose phosphate pathways.
Conclusion: This is the first report of proteome profiling of varying degrees of visual darkness with fractionation and using TMT labeling. An in-depth proteomics profile resulted in the detection of a larger number of mitochondrial and gluconeogenesis proteins in moderately severe steaks, which were upregulated, and the demonstration of a reduced abundance of proteins involved in glycogen metabolism. However, mitochondrial proteins were not different in the shady and moderately dark-cut steaks. This indicates that proteins involved in energy metabolism exhibit significant changes when the severity reaches moderately severe or postmortem pH levels of around 6.4.
Funding Source: This research was in part funded by USDA-NIFA.
Keywords: dark-cutting, proteomics, protein fractions, TMT.
193 PepViewR: An Interface for Peptide Visualization From Proteomic Data
Logan G. Johnson*, Elisabeth Huff-Lonergan, and Steven M. Lonergan, Department of Animal Science, Iowa State University, Ames, IA 50011, USA *logan01@iastate.edu
Introduction/Objectives: The identification and quantification of hundreds to thousands of proteins by liquid chromatography-mass spectrometry (LC-MS) platforms is routine. This depth and scale afford greater insight and relation of protein differences to experimental research questions. In the context of postmortem muscle and meat tissue, the physical and biochemical environments differ vastly from living skeletal muscle. Bioinformatic tools are helpful in garnering insight and meaningful outputs from proteomic datasets of increasing complexity and size. However, out-of-the-box bioinformatic tools frequently produce uninformative results in the context of meat science, especially considering events and environments in postmortem muscle, namely rigor mortis, proteolysis, and an increase in acidity. Therefore, this work aimed to illustrate the value of an alternative approach to bioinformatic tools in meat science research questions. It was hypothesized that specific tryptic peptides would be similarly identified within and across protein fractions and time points postmortem.
Materials and Methods: Pork loins from a commercial plant were evaluated and selected based on pH at 1 d postmortem. Loins (n = 50) were fabricated into chops, aged for 1, 7, or 14 d postmortem, and frozen (−80°C) after their respective aging periods. Two separate proteomic studies were conducted from the same pork loin samples over the 3 aging periods using 2 different starting protein fractions: 1) proteins extracted from muscle tissue in a low-ionic strength buffer, and 2) proteins collected from muscle exudate. Briefly, proteins soluble in a low-ionic strength buffer (50 mM Tris-HCl [pH 8.5], 1 mM EDTA) were extracted from powdered muscle tissue samples (Johnson et al., 2024). Muscle exudate samples were clarified by centrifugation and diluted 1:7 (vol/vol) in a low-ionic-strength buffer. All samples within protein fractions were diluted to equivalent protein concentrations before proteomic analysis. Proteins were reduced, alkylated, and digested with trypsin. Tryptic peptides were labeled with tandem mass tag (TMT) 10plex reagents (90110, Thermo Scientific). Within each protein fraction, a pool of all samples was labeled with a TMT11-131C (A37724, Thermo Scientific) reagent to serve as an internal reference in each LC-MS run. Peptides were separated by reverse-phase liquid chromatography and introduced into a Q-Exactive Hybrid Quadrapole-Orbitrap mass spectrometer (Thermo Scientific) over a 4.5 h elution gradient. The resulting .raw files were converted to .mzML using msConvert and analyzed with FragPipe (v. 22.0) using default settings against a Sus scrofa UniProt reference proteome.fasta file. Peptide spectrum match files were processed and summarized using MSstatsTMT (v. 2.14.2) with default settings. An application interface for viewing and interacting with the identified peptide data was developed using Shiny, bslib, plotly, and tidyverse packages in R Statistical Software (R Core Team, 2024) and deployed using Posit Connect Cloud (Posit Software, PBC).
Results: The resulting interface is available to view and interact at the following link: https://loganjohnson0-pepviewr.share.connect.posit.cloud/<https://loganjohnson0-pepviewr.share.connect.posit.cloud/>. Users can interact and view data from the experiments grouped by “Protein Fraction” or “Time Point.” Identified tryptic peptides in the experiment are displayed per queried protein. While some of these observations are not themselves novel, such as identifying desmin or troponins in the low-ionic-strength soluble fraction, other observations are more remarkable. For example, titin identified in tissue extracts, regardless of the aging period, was limited to approximately residues in positions 1–12,000 and 33,000–34,000 from the N- to C-terminus. In the muscle exudate, titin was identified in those same regions but was also detected between approximately 13,000–27,000. This novel observation would have been overshadowed when summarized at the protein level for the number of peptides or sequence coverage for titin. The absence of some of these peptides alone is insufficient to conclude they are not present in those samples, considering other sources of technical and biological deviation that could lead to their lack of detection. Given the isobaric labeling design and inclusion of a pooled sample in all runs within a protein fraction, comparisons of the variation of identifications within a fraction, regardless of time point, are more appropriate than across protein fraction comparisons. Nonetheless, the number of biological samples in this study shows that these observations are noteworthy. An application interface like the one developed and employed here allows for greater discovery and utilization of proteomic results in ways that most current out-of-the-box bioinformatic tools do not promote. This effort does not seek to draw critiques or comparisons directly to these bioinformatic tools but merely to highlight the troves of knowledge and observations that can and likely are overlooked in meat science proteomic studies. Collectively, the meat, food, and animal science research communities need to implore greater scrutiny of bioinformatic tools and their outputs to advance and improve our knowledge of these biological systems.
Conclusion: Mass spectrometry-based proteomic experiments have become more widely employed to study protein changes related to various research questions. Postmortem cellular environments, processes, and reactions are distinct from living tissues in ways that most out-of-the-box bioinformatic tools cannot appreciate. The utility of bioinformatic tools to process and interpret experimental results related to meat science, as published in the literature, has provided new knowledge but has also arguably provided numerous uninformative and occasionally factually inaccurate characterizations of the underlying biology. As such, this work aimed to showcase an alternative approach to draw meaningful observations and conclusions from proteomic experiments in meat science. Future developments of this work will incorporate differences in specific peptides between experimental conditions. Future efforts aim to develop additional alternative approaches that draw more meaningful and applicable results in meat science. Indeed, appreciating the specific peptide changes will be crucial in subsequent efforts to validate peptide and protein markers.
Funding Source: Iowa Agricultural and Home Economics Experiment Station project no. IOW04121 and United States Department of Agriculture–Agriculture and Food Research Initiative project 2019-67017- 29181.
Keywords: LC-MS/MS, peptides, pork, proteomics, visualization.
194 Influence of Protein Degradation on the Presence of Calsequestrin in Sarcoplasmic Fraction of Fresh Pork Loin at 14 Days Postmortem
Mackenzie Griffin*, Logan Johnson, Cydne’ Jess, Steven Lonergan, and Elisabeth Huff-Lonergan, Iowa State University, Ames, IA 50011, USA *mackgrif@iastate.edu
Introduction/Objectives: To reduce variability in quality, which contributes to static consumption of fresh pork within the United States, new and nondestructive methods of predicting fresh pork quality are needed. This project aimed to determine the possibility of using the abundance of a protein soluble in the sarcoplasmic fraction as a predictive biomarker for pork quality attributes, like tenderness. Calsequestrin is a protein located in the sarcoplasmic reticulum; however, recent proteomic research has discovered an increased abundance of calsequestrin in the sarcoplasmic fraction of longissimus dorsi (LD) in more tender pork samples. This discovery suggests calsequestrin presence in the sarcoplasmic fraction can ultimately indicate a more tender product; however, further characterization and investigation are needed to ensure its robustness as an indicator of pork tenderness. Therefore, this study aimed to evaluate the abundance and state of intactness of calsequestrin in the sarcoplasmic fraction and its relationship to various measures of pork quality.
Materials and Methods: A subsample of 14-d-aged pork loins (N = 20) was selected from a population of fresh pork loins previously characterized for early postmortem pH, color, marbling, instrumental tenderness (star probe), drip loss, cook loss, and sensory attributes. Samples were selected and included based on prior Western blot data on whole-muscle protein extracts from this population. Whole-muscle proteins were extracted from the LD using a high ionic strength buffer (10 mM sodium phosphate, pH 7.0, and 2% SDS). Based on the presence or absence of desmin degradation products in the 14-d-aged whole-muscle extracts, 10 loins with high proteolysis (HP) and 10 loins with low proteolysis (LP) were selected for further analysis. Desmin degradation was used as a reliable indicator of overall proteolysis, enabling us to determine whether varying levels of proteolysis influenced the detection of calsequestrin in the sarcoplasmic. To determine calsequestrin’s presence in the sarcoplasmic fraction, proteins were extracted in a low ionic strength buffer (50 mM Tris-HCl and 1 mM ethylenediaminetetraacetic acid [pH 8.5]). A Western blot analysis was performed on the samples to identify the abundance and form of calsequestrin. A pooled reference, prepared from the sarcoplasmic fractions from an outside population of aged commercial pork loins, was included on each gel. The membranes were incubated with a 1:10,000 dilution in PBS-Tween of the primary polyclonal rabbit anti-calsequestrin antibody (PA1-913, Invitrogen) overnight and a 1:10,000 dilution in PBS-Tween of goat anti-rabbit-horseradish peroxidase-conjugated (31460, Thermo Scientific, Rockford, IL) secondary antibody for 1 h. Immunoreactive calsequestrin protein bands were detected using chemiluminescence and imaged in iBright FL1500. For proteomic analysis, the samples were digested with trypsin, labeled with 11-plex reagents (Thermo Scientific), and identified and quantified using a Q-Exactive Mass Spectrometer (Thermo Scientific). Data from the 20 samples were analyzed using R v4.4.1 for ANOVA to determine the effect of proteolysis classification and compute the least-squares means. Gel number and panelist were included as random effects in the models fitting the Western blot and sensory panel data, respectively. The significance level was established at P < 0.05.
Results: The chops selected for analysis that were classified as HP had significantly lower star probe values than LP chops at day 14 (3.80 versus 5.75, P = 0.0001). Similarly, the sensory panel rated HP chops significantly higher in the categories of tenderness (8 versus 6, P < 0.0001), juiciness (7 versus 6, P = 0.0017), and pork flavor (6 versus 5, P = 0.0001). In contrast, the LP chops were rated significantly higher in the categories of chewiness (5 versus 3, P = 0.0002) and off-flavor (2 versus 1, P < 0.0001). HP chops had 85% less drip loss on day 1 and 26% less cook loss after 14 d of aging. Regarding the color of the chops, the HP chops had a higher color score (P = 0.03) and lower L values (P = 0.02) after 14 d of aging. HP chops had a significantly higher (, P = 0.0002) early postmortem pH than LP chops (). The proteomic analysis found that calsequestrin was more abundant in HP chops (P < 0.0001), with 4.82 times more calsequestrin in the sarcoplasmic fraction of HP chops than LP chops. Correspondingly, Western blot analysis revealed that calsequestrin abundance was significantly greater (P < 0.0001) in the sarcoplasmic fraction of HP chops () versus the LP chops, which had no detectable calsequestrin in any samples. The immunoreactive band of calsequestrin migrated at ∼45 kDa in all the HP samples. Given that the average molecular weight of calsequestrin is estimated to be between 44-50 kDa, this novel result reveals that calsequestrin is likely intact when found in the sarcoplasmic fraction. This is further supported by the lack of detectable immunoreactive bands, indicating degradation products of calsequestrin. The absence of calsequestrin degradation products in the sarcoplasmic fraction suggests that calsequestrin is not a target substrate for proteases such as calpain. If proven true, alternative postmortem biochemical processes may be responsible for releasing intact calsequestrin into the sarcoplasm from the sarcoplasmic reticulum.
Conclusion: Fresh pork loins with increased proteolysis exhibited greater sensory palatability, lower instrumental tenderness, and less cook and drip loss. Additionally, according to Western blot and proteomic analysis, chops classified as HP had a significantly greater abundance of calsequestrin in the sarcoplasmic fraction of the pork loins. Calsequestrin is a protein typically located within the sarcoplasmic reticulum. Its presence in the sarcoplasm in the aged samples implies membrane disruption and likely calcium release, which could continue proteolytic potential. Thus, previously unexplored postmortem biochemical processes may initiate the release of calsequestrin from the sarcoplasmic reticulum. Given the stark contrast in the presence of calsequestrin in the sarcoplasmic fraction, there is substantial evidence that calsequestrin could be a robust predictive biomarker for fresh pork loin quality. Future research in this direction will aim to further characterize the relationship between the presence of calsequestrin in the sarcoplasm and fresh pork loin quality.
Funding Source: Funding was provided by the Iowa Agricultural and Home Economics Experiment Station, project no. IOW04121 and the Iowa Pork Producers Association.
Keywords: calsequestrin, degradation, fresh pork quality.
195 Influence of 24-Hour pH Classification on Intact Desmin Abundance and Pork Loin Quality at Day 1 Postmortem
Emma Frank*, Mackenzie Griffin, Issac White, Cydne’ Jess, Logan Johnson, Steven Lonergan, and Elisabeth Huff-Lonergan, Iowa State University, Ames, IA 50011, USA *ecfrank@iastate.edu
Introduction/Objectives: Postmortem proteolysis of intermediate filaments and structural proteins, such as desmin, contributes to variations in pork quality characteristics, like tenderness and water-holding capacity. Previous research has shown that more desmin degradation products are present in higher-pH aged pork loin chops (Johnson et al., 2023); however, it is unclear whether differences in intact desmin are detectable at earlier time points postmortem. Therefore, this study aimed to evaluate the abundance of intact desmin in whole-muscle samples in high and low-pH pork loin chops at 24 h postmortem.
Materials and Methods: Fresh pork loins (N = 50) were collected from a commercial processing facility at approximately 24 h postmortem and classified into 2 pH groups based on loin muscle pH: low (low; 5.59–5.71) and high (high; 5.90–6.46), with 25 samples in each group. Loins were vacuum packaged and transported on ice before arrival at the Iowa State University Meat Laboratory. Two chops from each loin were used to measure cook loss, drip loss, and tenderness. An Instron fitted with a star probe attachment was utilized to measure the instrumental tenderness of cooked chops. Detailed results of the quality data were examined in an earlier study (Jess et al., 2025). The 0.64-cm-thick pork loin chops were frozen in liquid nitrogen and pulverized for protein extraction. Samples were prepared using a whole-muscle extract buffer (10 mM sodium phosphate, 2% SDS [pH 7.0]) to evaluate the relative abundance of intact desmin. Western blotting using a 15% SDS-PAGE gel was performed with all samples in duplicate to detect desmin. Blots were incubated overnight at 4°C with primary antibody, polyclonal rabbit anti-desmin diluted 1:40,000 in PBS-Tween [80 mM Na2HPO4, anhydrous, 20 mM NaH2PO4, 100 mM NaCl, 0.1% (vol/vol) polyoxymethylene sorbitan monolaurate (Tween-20)]. Following incubation, blots were washed with PBS-Tween and incubated at room temperature for 1 h with the secondary antibody, conjugated goat anti-rabbit-HRP (31460, Thermo Scientific), diluted in PBS-Tween to 1:20,000. Chemiluminescence and densitometry were used to quantify intact desmin band intensity. Relative intensity ratios were determined by dividing the intensity of an intact band by the intensity of the reference intact band on each gel. The reference was a combination of the 1 and 14-d-aged samples. Each gel included a reference sample, and all samples were randomized across gels. Ratio data were analyzed using R (v4.2.1). An ANOVA was used to evaluate the effect of pH classification on intact desmin abundance. The model included the gel as a random effect to account for variation across immunoblotting runs. Significance was defined as P < 0.05.
Results: The pH classification significantly affected star probe values (P < 0.01), drip loss (P < 0.0001), and cook loss (P < 0.01) (Jess et al., 2025). There was a 0.77 kg difference in star probe values between the high (5.11kg) and low (5.88) pH classifications. Pork loin chops in the low-pH classification exhibited higher drip loss (2.46%) and cook loss (21.1%) than those in the high-pH classification, with a difference of 1.93% in drip loss and 3.8% in cook loss. These results indicate that a high-pH pork loin chop has greater water-holding capacity and greater tenderness. The random effect of gel did not affect desmin abundance. No significant difference (P = 0.39) was observed at 24 h postmortem for intact desmin ratio in the whole-muscle protein extracts from the high and low-pH pork loin chop samples, indicating that the difference in star probe values, drip loss, and cook loss was independent of desmin proteolysis in whole-muscle samples at 24 h postmortem. This implies that by 24 h postmortem, early proteolytic activity has not progressed to a point where pH-dependent differences in intact desmin abundance are clear. The star probe values, drip loss, and cook loss indicated a difference in tenderness and water-holding capacity between pH classifications that may be caused by factors other than an abundance of intact desmin in the whole-muscle extract.
Conclusion: Previous analyses demonstrated a significant difference in desmin degradation products in the low ionic strength buffer extract of high-pH and low-pH classifications at 1 d postmortem (Jess et al., 2025). Conversely, the present study found no significant difference in intact desmin (55 kDa) abundance in whole-muscle extracts at 1 d postmortem between pH classifications, despite differences in tenderness and moisture retention. Desmin degradation products (35-38 kDa) were only detected in the high-pH classification, which is consistent with observations of degradation products in the low ionic strength extracts of high-pH samples at 1 d postmortem. These results suggest that the detection of desmin degradation in whole-muscle samples at day 1 postmortem may not be as sensitive as in sarcoplasmic samples at day 1. Jess, Cydne, et al. (2025). Meat and Muscle Biology. Volume 9, https://doi.org/10.22175/mmb.18426. Johnson, Logan, et al. (2023). Journal of Animal Science. Volume 101, https://doi.org/10.1093/jas/skad046.
Funding Source: Iowa Agricultural and Home Economics Experiment Station project no. IOW04121, and Iowa Pork Producers Association.
Keywords: desmin, fresh pork quality, pH.
196 Exploring the Phenotypic and Metabolic Response of Porcine Skeletal Muscle Harboring Mutations That Drive Oxidative and Hypertrophic Phenotypes
Linnea Rimmer1,*, Con-Ning Yen2, Erin Beyer1, Jessie Vipham1, Katelyn Gaffield1, Geisbrecht2 Maci Mueller1, Travis O’Quinn1, David Gerrard3, Morgan Zumbaugh1, 1Department of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA, 2Department of Biochemistry and Molecular Biophysics, Kansas State University, Manhattan, KS 66506, USA, 3Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA *linnearimmer@ksu.edu
Introduction/Objectives: Skeletal muscle is a heterogeneous tissue consisting of muscle fibers that vary in metabolic properties, ranging from highly oxidative to predominantly glycolytic. This dynamic tissue can employ different metabolic pathways to accommodate changes in cellular demand, which influences production performance. In fact, muscle from pigs with improved feed efficiency exhibits a reduction in protein abundance of oxidative enzymes compared to those classified with poor feed efficiency. Therefore, uncovering regulatory mechanisms that govern porcine skeletal muscle metabolism will aid in the effort to develop innovative strategies to improve lean muscle growth with fewer resources. Pigs harboring a naturally occurring RyR1R615C mutation (Halothane gene; Hal) have been characterized with improved lean muscle growth, while pigs harboring a naturally occurring AMPKgR200Q mutation (Rendement Napole gene; RN) exhibit an oxidative profile. Therefore, we bred Hal and RN pigs to determine the phenotypic and metabolic response of skeletal muscle harboring oxidative and hypertrophic stimuli.
Materials and Methods: To define the influence of Hal and RN genes on skeletal muscle metabolism, pigs harboring the naturally occurring RyR1 R615C and AMPKg R200Q mutations were bred to generate control (wild-type, WT), heterozygous AMPKgR200Q (RN), heterozygous RyR1R615C (Hal), and heterozygous AMPKgR200Q; heterozygous RyR1R615C (RN-Hal) littermates. Genotypes were confirmed by incubating PCR products with HinP1I (Hal) and BsrBI (RN) restriction enzymes. Pigs were bred and raised at the Virginia Tech swine farm and fed a standard commercial diet. Thirty-two pigs (8 pigs of each genotype) of equal gender (16 barrows, 16 gilts) were harvested at 109 days of age in a USDA-inspected facility at the Virginia Tech Meat Center. Samples were collected from the longissimus dorsi (LD, glycolytic muscle), latissimus dorsi (LAT, mixed muscle), semitendinosus (ST, mixed muscle), and masseter (MS, oxidative muscle). A Seahorse XF analyzer was used to measure pyruvate/malate (PM)- and succinate/rotenone-stimulated respiration of LD and MS mitochondria. Mitochondria isolated from LD, LAT, ST, and MS muscles were also incubated with 13C3-pyruvate, and isotopomers were measured using gas chromatography-mass spectrometry (GC-MS) to assess labeling patterns of pyruvate-derived tricarboxylic acid intermediates. Free calcium was measured using a calcium ion-selective electrode to determine unbound calcium within muscles. Data were analyzed as a split-plot design with genotype as the whole plot factor and muscle and gender as sub-plot factors. Data were considered significant when P ≤ 0.05, unless otherwise stated. Means were separated by pairwise comparisons. All data were analyzed using R (version 4.2.1, Indianapolis, IN, USA) with pig as the experimental unit.
Results: Loin-eye area (LEA) of gilts did not differ across genotype, but LEA decreased in RN and RN-Hal barrows compared to WT and Hal barrows (P < 0.05). These data suggest LEA in gilts was not impacted by genotype, while barrow LEA hypertrophy was negatively impacted by carrying the RN mutation. The free calcium of muscles was assessed to determine if levels of unbound calcium differed. Free calcium was highest in MS, followed by ST, and lowest in LD muscles (P < 0.05). In the LAT muscles, free calcium was lower than MS muscles (P < 0.05) but did not differ from the ST and LD muscles. Further, there were no genotype or gender differences. To investigate mitochondrial changes, the respiration of isolated mitochondria from LD and MS muscles was measured. State 3 respiration stimulated by P/M and S/R was higher in MS compared to LD mitochondria (P < 0.05). In addition, S/R stimulated state 3 respiration was higher in MS compared to LD mitochondria of RN barrows, but did not differ between muscles of RN-Hal barrows (P = 0.06). State 4 respiration stimulated by P/M was higher in MS control mitochondria compared to LD control mitochondria (P < 0.05), but did not differ between muscles of other genotypes. Further, S/R stimulated state 4 respiration of RN-Hal barrows increased in MS compared to LD mitochondria (P < 0.05) but did not differ between mitochondria of RN barrows. These data suggest RN and RN-Hal barrows may alter mitochondrial function in a muscle-specific manner. To determine if utilization of pyruvate differed, an in vitro 13C-pyruvate tracing strategy was implemented using isolated mitochondria from LD, LAT, ST, and MS muscles. These data indicate changes in the amount of an isotopomer derived from pyruvate rather than the total amount of an intermediate present. Enrichment of citrate M + 3 increased in ST compared to LD and LAT mitochondria of Hal barrows, while citrate M + 3 increased in LAT compared to LD mitochondria of Hal gilts (P = 0.06). Further, a-ketoglutarate M + 2 and M + 4 increased in LAT compared to LD mitochondria of Hal pigs regardless of gender (P = 0.08). Collectively, these data suggest LD hypertrophy is hindered in barrows carrying the RN mutation. Further, mitochondria of pigs carrying RN and Hal mutations appear to differ in mitochondrial function in a sex dependent manner, although additional research is needed to elucidate these changes.
Conclusion: These data reveal that LD muscle hypertrophy of gilts was not influenced by carrying RN or Hal mutations, while barrows carrying the RN mutation exhibited reduced LEA compared to WT barrows. Further, different parameters of mitochondrial metabolism were influenced by gender and genotype. Collectively, these data indicate the presence of a compensatory mechanism to facilitate hypertrophy in gilts that is lacking in RN barrows. However, additional research is needed to elucidate these metabolic and physiological mechanisms involved in muscle hypertrophy within these genotypes.
Funding Source: Supported by Animal Nutrition, Growth, and Lactation, award no. 2022-67015-36202, from the U.S. Department of Agriculture’s National Institute of Food and Agriculture.
Keywords: metabolism, mitochondria, hypertrophy, halothane, RN.
197 Alpha-Actinin Solubility and Its Relationship With Pork Loin Chop Tenderness
Stephanie L. Major*, Logan G. Johnson, Elisabeth Huff-Lonergan, and Steven M. Lonergan, Department of Animal Science, Iowa State University, Ames, IA 50011, USA *stephani@iastate.edu
Introduction/Objectives: Today, fresh pork loin has lost value relative to the value of the entire pork carcass. Improving pork loin quality requires an enhanced understanding of the factors influencing pork loin quality and methods to generate quality phenotypes. There is potential for non-invasive rapid tests to measure specific proteins in meat to characterize tenderness, allowing for premium programs to be developed. Previous research demonstrated a greater abundance of alpha-actinin in the low ionic strength fraction of more tender aged pork loin chops (Johnson et al. 2024), but the state of intactness of alpha-actinin was not characterized. It was hypothesized that, as proteolysis occurs postmortem, a higher relative abundance of alpha-actinin in the low-ionic strength fraction of aged pork loin may be attributed to increased association with tenderness. Our objective was to evaluate the presence of alpha-actinin in low-ionic strength fractions of aged pork loin chops that vary in tenderness.
Materials and Methods: Aged pork loin chops categorized by star probe values (category A: 3.43–4.11 kg; category D: 6.35–7.41 kg, n = 10 per category) from a previous study were used (Johnson et al., 2024). Quality evaluation on aged pork loins (12–14 d postmortem) included lipid content, sensory quality (1–10, with 10 representing a greater amount of an attribute), and cook loss. Proteins were extracted in a low ionic strength buffer (50 mM Tris-HCl [pH 8.5], 1 mM EDTA). A mixture of samples containing sarcoplasmic and whole-muscle proteins was used as a reference that was included on each SDS-PAGE gel. Proteins were fractionated on 15% SDS-PAGE gels, transferred to PVDF membranes, and blocked in non-fat dry milk in PBS-Tween, a phosphate-buffered saline with 0.1% non-ionic detergent Tween 20. The membranes were incubated overnight with an anti-actinin alpha 2 (A7811, Sigma) monoclonal antibody diluted 1:40,000 in PBS-Tween. After washing with PBS-Tween, membranes were incubated with a goat anti-mouse, HRP-tagged (A2554, Sigma) antibody diluted 1:20,000 in PBS-Tween. Alpha-actinin was detected using a chemiluminescent detection kit (ECL Prime; GE Healthcare, Piscataway, NJ, USA), and images of blots were collected and analyzed using an iBright 1500 Imager System and Analysis Software (Thermo Fisher Scientific, Waltham, MA, USA). The relative abundance of the immunoreactive alpha-actinin bands in the unknown samples was reported as a ratio to the known reference. The influence of tenderness category on the relative abundance of alpha-actinin was determined in a model that included category as a fixed effect and gel as a random effect.
Results: Category A chops had lower (P < 0.05) star probe (3.8 versus 6.6 kg), higher (P < 0.05) lipid content (2.71 versus 1.38%), less (P < 0.05) cook loss (20.17 versus 23.46%), higher (P < 0.05) sensory tenderness (8 versus 6), lower (P < 0.05) chewiness (2 versus 3), and higher (P < 0.05) flavor scores (6 versus 3) compared to category D chops. These phenotypic attributes demonstrate that pork chops in category A were of higher quality. Notably, the ratio of intact soluble alpha-actinin in the low ionic strength buffer to the known reference was greater in category A (0.47) than in category D chops (0.08; P < 0.05). Regardless of category, the immuno-reactive alpha-actinin band represented intact protein with a molecular weight of 100 kDa, suggesting that postmortem aging promotes the release of intact alpha-actinin from the Z-disk and that a greater abundance is associated with more tender products.
Conclusion: The relative abundance of alpha-actinin in the low ionic strength fraction of the aged pork chops was greater in the category A chops with a lower star probe value. Importantly, the results also show that alpha-actinin was not degraded and remained intact, even when released from the myofibril. The proteolytic release and connection to the pork quality phenotype suggest that alpha-actinin abundance in the low ionic strength fraction could be a marker for pork tenderness. This gives confidence in the potential for alpha-actinin presence in the low ionic strength fraction of pork chops to be an indicator for increased tenderness associated with improved eating experience.
Funding Source: Iowa Pork Producers Association and Iowa Agricultural and Home Economics Experiment Station project no. IOW04121.
Keywords: alpha-actinin, loin chops, pork quality.
198 Electrons to Entrecôte: Computational Tools for Studying the Behavior of Muscle Proteins
Sean M. Baker1* and Mark P. Richards1,2, 1Department of Food Science, University of Wisconsin-Madison, Madison, WI 53706, USA, 2Department of Animal & Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA *sbaker8@wisc.edu
Introduction/Objectives: It is easy to think of muscle proteins as static entities, but in fact, the atoms that make up these proteins are heavily influenced by environmental factors (i.e., pH, small molecules, electrolytes). This work outlines the applicability of computational chemistry tools for modeling the behavior of muscle proteins in response to various environmental conditions.
Materials and Methods: The computational tools employed were molecular docking (MoD), molecular dynamics (MD), and quantum calculations (QM). MoD calculations were performed using a basic model, a hydrated model, and a reactive model. For all MoD types, ligand (obtained using CID) and receptor (obtained using PDB) preparation were performed using the meeko Python package, with receptor grids being generated using autogrid4. Hydrated docking required an additional receptor affinity map created using the mapwater script, and a post-processing step to remove displaced waters using the dry script. Both basic and hydrated docking calculations were performed using AutoDock Vina 1.2.6 with the ad4 scoring function. Reactive docking required the identification of the reactive atoms/residues for the ligand and receptor. The reactive docking calculation was performed using AutoDock-GPU. MD calculations required model (obtained using PDB) preparation using CHARMM-GUI, wherein the proteins had ligands removed, pH assigned, solvated using water and 0.15 M NaCl, and force field (CHARMM36m) assignment. The models were then minimized and equilibrated, followed by production simulations using the GROMACS v2024.2 software. QM calculations were performed on truncated ferrous heme models with different ligands (none, SM = 5; O2, SM = 1; H2O, SM = 5). The system was assigned as open-shell and optimized using a PBE functional with def2-SVP basis set and def2/J auxiliary basis set. All QM calculations were performed using Orca 6.0. Calculations, particularly MoD and MD, were repeated at least 5 times for further statistical analysis. Some quantifiable metrics include frequency of a docking position, atomic distances, binding affinity, and global energy measurements.
Results: MoD calculations have provided insights into small molecule binding [linoleic acid, epigallocatechin gallate (EGCG), EGCG quinone] to food-related proteins [bovine hemoglobin (Hb), turkey Hb]. In many cases, the hydrated docking is the optimal docking method, as many of the interactions that would occur in muscle foods would be in an aqueous environment. MD simulations have provided new insights into the heme pocket dynamics of fish and mammalian Hb when the distal histidine is in different protonation states. Finally, we show that QM simulations can make up for some of the shortcomings of MD by predicting appropriate atomic charges that may change as the environment changes.
Conclusion: The methods and results described above display the broad applicability of computational chemistry tools for research on muscle proteins. Modification of these methods can be adopted to answer a vast array of questions: How does temperature affect global protein structure? How does a new antimicrobial interact with functional proteins? How do different atomic interactions affect UV-Vis spectra? Although at first glance these methods seem useful only to academicians, there are numerous practical applications. We envision this as only the beginning for computational tools. In the next 10 years, a large majority of life sciences papers will employ computations to corroborate their experimental findings.
Funding Source: USDA HATCH project 700032.
Keywords: computations, quantum chemistry, hemoglobin, molecular dynamics.
199 Carcass Electrical Stimulation Impacts on Early Postmortem Muscle Lipidome From Feedlot Nellore Cattle
Julio Cesar C. Balieiro1,*, Cristina T. M. Gadbem1, Saulo L. Silva2, Ricardo Vieira Ventura1, Diogenes L. Pinto1, Alexandre M. Ruiz1, and Daniel S. Antonelo1,3, 1School of Medicine, Veterinary and Animal Science, University of São Paulo, Pirassununga, São Paulo 05508-220, Brazil, 2College of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo 05508-220, Brazil, 3Lipid Marker Omics Sciences LTDA, Leme, São Paulo 13613-110, Brazil *balieiro@usp.br
Introduction/Objectives: This study aimed to assess the effects of electrical stimulation on the early postmortem muscle lipidome profile of feedlot Nellore cattle.
Materials and Methods: Forty-eight male Nellore cattle (up to 24 mo old) were evaluated, and their half-carcasses were electrically stimulated (ES) or non-electrically stimulated (CO). Longissimus thoracis (LT) muscle (12th rib level) samples were collected at 30 min postmortem and randomly chosen (n = 6 per treatment) for further lipidomics analysis. Approximately 50 mg of each muscle sample was used for lipid extraction using a method reported by Bligh & Dyer (1959). Targeted lipid profiling was performed using discovery multiple reaction monitoring (MRM)-profiling methods and instrumentation as reviewed by Xie et al. (2021). From the lipid extract, the MRM profiling method was used to profile 3,437 MRMs related to lipids, from 12 lipid classes. The MRM set included 1,752 triacylglycerols (TG), 482 diacylglycerols (DG), 179 free fatty acids (FFA), 178 phosphatidylcholines (PC), 145 phosphatidylethanolamines (PE), 141 phosphatidylinositols (PI), 141 phosphatidylglycerols (PG), 139 phosphatidylserines (PS), 120 ceramides (CER), 84 carnitines (CAR), 42 sphingomyelins (SM), and 34 cholesterol esters. Ion intensity data of each MRM per sample were obtained using in-house scripts. Relative ion intensities were calculated for each valid MRM by dividing its ion intensity by the sum of all ion intensities across each sample, which were used for subsequent statistical analysis and bioinformatics. Lipidome data were uploaded to Metaboanalyst 6.0 (https://www.metaboanalyst.ca/), and data were Pareto-scaled before statistical and bioinformatics analyses. Volcano plot analysis (P ≤ 0.05; Fold change ≥ 1.2), principal component analysis (PCA), and hierarchical clustering heatmap were performed to investigate the effects of carcass electrical stimulation on the lipidome profile of the LT muscle at 30 min postmortem. Lipidomics data were further processed for Lipid Ontology (LION) enrichment analysis (https://www.lipidontology.com) using lipid quantification data sets for each treatment, according to Molenaar et al. (2019). The compound name was standardized according to the LIPID MAPS Structure Database (https://lipidmaps.org/), and the ranking mode with preselected LION terms for cellular component, function, and lipid classification was chosen. LION terms were mapped based on P values corrected for multiple testing (FDR ≤ 0.05).
Results: Out of the 3,437 ion transitions (MRMs) scanned in a pooled sample for identifying the detectable lipids, 466 had intensities of at least 1.3-fold higher than the blank sample and were used for interrogating individual samples. These compounds were related mainly to TG (192), PC (112), PE (41), and SM (36) lipids. Volcano plot analysis allowed identifying 19 differentially abundant lipids between the treatments at 30 min postmortem, in which 17 (6 PE, 4 DG, 2 TG, 2 PC, 1 CAR, 1 PS, and 1 SM) were upregulated and 2 (2 TG) were downregulated in the ES group. Overlaps between the treatments were observed in the PCA (Figure 1A), which indicates that the lipid profile, overall, was not significantly altered between ES and CO carcasses at 30 min postmortem (P = 0.415). However, the hierarchical clustering heatmap (Figure 1B) segregated the treatments when clustering the top 25 lipids based on the T-test. The LION enrichment analysis revealed 15 enriched terms between the treatments (FDR ≤ 0.05). The 5 main terms identified were related to membrane components (LION:0012010; FDR <0.001), glycerophospholipids (LION:0000003; FDR <0.001), endoplasmic reticulum (LION:0012080; FDR<0.001), glycerophosphoethanolamines (FDR <0.001), and diacylglycerophosphoethanolamines (LION:0000038; FDR<0.001).
Conclusion: Although electrical stimulation of the carcass did not modify the lipid profile of the LT muscle at 30 min postmortem, it altered the abundance of some lipids from the CAR, DG, PC, PE, PS, SM, and TG classes, which enriched terms related to membrane components and endoplasmic reticulum. Therefore, assessment of muscle lipid profile during other time points of early postmortem metabolism may provide valuable insights into how electrical stimulation drives postmortem muscle metabolism.
Multivariate analysis of the Longissimus thoracis muscle lipidome profile at 30 minutes postmortem between electrically stimulated (ES) or not electrically stimulated (CO) carcasses from feedlot Nellore cattle. A) Principal component (PC) analysis score plot; B) hierarquical clustering heatmap (top 25 lipids based on t-test).
Funding Source: This work was supported by: (i) Foundation for Research Support of the State of São Paulo (FAPESP) [grant numbers 2017/26667-2, 2018/26378-3, and 2023/04273-3; provided a researcher fellowship 2023/02590-1 to CTMG and 2023/07089-9 to DSA]; (iii) Brazilian National Council for Scientific and Technological Development (CNPq) that provided a researcher fellowship to J.C.C.B, S.L.S., and R.V.V.
Keywords: beef cattle, lipidomics, postmortem metabolism.
200 Peptidomics to Evaluate Muscle-Specific Proteolytic Cleavage Sites During Muscle-to-Meat Conversion
Chen Zhu1, Savanah Battles1*, Arya Niraula1, Jeremy L. Balsbaugh2, Jennifer C. Liddle2, and Chaoyu Zhai1, 1Department of Animal Sciences, University of Connecticut, Storrs, CT, 06269, USA, 2Center for Open Research Resources and Equipment, Proteomics and Metabolomics Facility, University of Connecticut, Storrs, CT, 06269, USA *savanah.battles@uconn.edu
Introduction/Objectives: Muscle-to-meat conversion varies among muscle types and affects meat quality development. Longissimus lumborum (LL) and psoas major (PM) are important muscles in beef hindquarters that exhibit variation in meat quality attributes. Skeletal muscle is highly susceptible to postmortem proteolysis due to the activation of proteases. Different protease families have differing preferences for the amino acid (AA) compositions for proteolytic cleavage, and proteolytic cleavage sites of a protein can also be informative of biochemical events. Traditional gel-based methods have established targeted analysis of protein degradation. However, proteolytic cleavage sites in the scope of the whole proteome and their relation to meat quality development are not characterized. Peptidomics is the mass spectrometry-based quantification and identification of endogenous peptides. Therefore, the objective of this study was to use peptidomics to examine protein proteolytic cleavage site variation between LL and PM during the early postmortem period.
Materials and Methods: Using a biopsy needle, 0.5 g samples from LL and PM muscles was collected from carcasses (n = 8) at 2 h and 24 h postmortem from a commercial beef processing facility. After endogenous peptide extraction, enrichment, and desalting, isolated peptides were separated by UPLC and analyzed by HCD/ETD MS/MS analysis using an Orbitrap Eclipse Tribrid. Peptide identification and quantification were achieved using MaxQuant and the UniProt bovine reference proteome. Abundances and AA compositions of cleavage sites were summarized based on peptide abundances and precursor protein sequences. Using limma package in R, the abundance of AA compositions at P1-P1’ positions (P1: first amino acid at N-terminal direction of the cleaved peptide bond; P1’: first amino acid at C-terminal direction of the cleaved peptide bond) and the abundance of cleavage sites in precursor proteome were compared between muscles at same time point and between time points in same muscle while considering sample correlation from the same animal. Differentially abundant AA compositions (DAACs) and differentially abundant cleavage sites (DACSs) were identified using Benjamini–Hochberg multiple testing with adjustment at P < 0.05, fold change above 2, and missing value less than 75% observations. Cleavage sites in precursor proteins with exclusive absence or presence in a muscle-time combination are firstly filtered based on the identification frequency within the muscle-time combination (≥50% for presence; 0% for absence) and then further summarized based on muscle type and time point.
Results: 1586 quantitated peptides were matched to a total of 202 precursor proteins, corresponding to 1947 cleavage sites and 336 AA compositions at P1-P1’ positions. A total of 104 DAACs were identified (P < 0.05) in the comparisons between muscles at the same time point or between time points within the same muscle: PM versus LL at 2 h (21 with greater abundance; 2 with lower abundance), 24 h versus 2 h in LL (44 with increased abundance; 3 with decreased abundance), and 24 h versus 2 h in PM (44 with increased abundance). From 2 h to 48 h postmortem, the top 5 AA compositions (share of abundance change in all P1-P1’ positions) in LL are methionine-proline (8.9%), lysine-serine (8.0%), methionine-serine (7.3%), glutamate-alanine (6.9%), and histidine-glutamate (5.9%). The top 5 AA compositions in PM are glutamate-alanine (15.3%), methionine-serine (10.8%), histidine-glutamate (9.1%), glutamate-glutamate (4.7%), and lysine-serine (4.1%). A total of 63 DACSs were identified (P < 0.05) in the comparisons between muscles at the same time point or between time points in the same muscle: PM versus LL at 2 h (35 with greater abundance; 2 with lower abundance), 24 h versus 2 h in LL (49 with increased abundance; 9 with decreased abundance), and 24 h versus 2 h in PM (52 with increased abundance; 6 with decreased abundance). In total, 183 cleavage sites indicated exclusive presence or absence between muscles (3 exclusive presence in PM), time points (96 and 1 with exclusive presence at 2 h and 24 h, respectively), and their combinations (40 with exclusive absence and 1 with exclusive presence in LL at 2 h; 3 with exclusive presence in PM at 2 h; 25 with exclusive presence in LL at 24 h; and 14 exclusive presence in PM at 24 h). Cleavage sites with differential abundance or exclusive absence/presence were identified in glycolytic enzymes (e.g., alpha-1,4 glucan phosphorylase, creatine kinase M-type, glyceraldehyde-3-phosphate dehydrogenase, and L-lactate dehydrogenase), protease (e.g., calpain-3), myofibrillar and cytoskeleton proteins (e.g., desmin, myosin heavy chain, α-actin, β-actin, nebulin, troponin, myozenin, and myomesin), oxidative phosphorylation (e.g., complex I, IV and V), chaperone proteins (e.g., heat shock protein beta-1 and beta-6), transport protein (e.g., myoglobin and hemoglobin) and calcium homeostasis (e.g., sarcoplasmic reticulum calcium ATPase).
Conclusion: The peptidome profile can effectively capture the differential proteolytic cleavage sites between muscles. The major AA compositions at the cleavage site differ between LL and PM during muscle-to-meat conversion. The abundances of proteolytic cleavage sites are muscle-dependent and are affected by the time point at the early postmortem stage. Further study is warranted to apply peptidomics to muscle biology and meat quality research.
Funding Source: Startup Package.
Keywords: postmortem, protein cleavage, bovine, muscle.
201 Pulmonary Arterial Pressure Affects the Skeletal Muscle Proteome in Feedlot Steers
Loretta Bigelow1,*, Arya Niraula1, Chen Zhu1, Jeremy L. Balsbaugh2, Jennifer C. Liddle2, and Chaoyu Zhai1, 1Department of Animal Sciences, University of Connecticut, Storrs, CT 06269, USA, 2Center for Open Research Resources and Equipment, Proteomics and Metabolomics Facility, University of Connecticut, Storrs, CT 06269, USA *loretta.bigelow@uconn.edu
Introduction/Objectives: Pulmonary hypertension is a noninfectious disease of cattle at altitudes >1,524 m (5,000 ft), which can progress to right-sided heart failure and death. Beef cattle entering the feedlot with high pulmonary arterial pressure (PAP; ≥50 mmHg) have a 20% reduction in feed efficiency over the feeding period than low PAP (<50 mmHg) cattle. Our previous study indicated that the longissimus lumborum (LL) muscle from high PAP beef cattle had lower mitochondrial efficiency, higher reactive oxygen species (ROS) production, and a greater type II/type I muscle fiber ratio than low PAP animals. Beef products from high PAP cattle also discolor 30% faster than beef products from low PAP cattle. A whole proteome profile can elucidate the molecular mechanism of differing feed efficiency, mitochondrial function, muscle fiber type ratio, and fresh beef color stability. Therefore, this study aimed to evaluate the proteome variation in LL between high PAP and low PAP beef cattle.
Materials and Methods: Biopsy samples from LL muscles were collected from Angus steers (live weight of 588 ± 38 kg) with high (98 ± 13 mmHg; n = 5) and low (41 ± 3 mmHg; n = 6) PAP values at 2 h postmortem from a commercial beef processing facility. Muscle tissues were homogenized with an electric homogenizer in lysis buffer (final concentration: 0.1 M Tris-HCl, 0.1 M dithiothreitol, 4% sodium dodecyl sulfate, pH 7.5) and sonicated by 10 pulses with half a second per pulse. The samples were incubated at 95°C for 5 min and then cooled down to room temperature (25°C). The insoluble material was pelleted by centrifugation at 16,100 × g for 10 min at 4°C, and the supernatant was subjected to S-Trap (Protifi LLC)-based sample preparation methods, which included full trypsinization and downstream bottom-up proteomic analysis using ultra-high performance liquid chromatography-tandem mass spectrometry. Protein identification plus label-free quantification were achieved using MaxQuant software via intensity-based absolute quantification. After log2 transformation and median normalization, the identified proteins with less than 2 abundance readings in each treatment group were removed. Using the DEqMS package in R, a moderated T-test was used for pairwise comparisons between treatment groups and further adjusted in each protein based on the number of unique and razor peptides (P < 0.05).
Results: Among 1093 identified proteins, 68 differentially abundant proteins (P < 0.05) were identified between high PAP and low PAP LL muscle. There were 42 proteins with greater abundances in high PAP group, which function in myofibril (myosin heavy chains, nebulin, plectin, and telethonin), ubiquitin-proteasome system (ubiquitin-conjugating enzyme L3 and D4, proteasome 26S proteasome subunit 3, alpha-5, and 10B), proteases (aminopeptidase-like 1 and carboxymethylenebutenolidase homolog), calcium transporter (ryanodine receptor 1 and sodium/potassium-transporting ATPase subunit alpha-2), glycogen metabolic enzymes (e.g., glycogen debranching enzyme, glycogenin 1, UTP-glucose-1-phosphate uridylyltransferase), chaperone (T-complex protein 1 subunit zeta, heat shock 70 kDa protein 1A, 1B, and 6), and mitochondrial fission inhibitor (CYFIP-related Rac1 interactor B). There were 26 overabundant proteins in low PAP muscle, which function in dephosphorylation (phospholysine phosphohistidine inorganic pyrophosphate phosphatase, protein phosphatase 1 subunit 3A and 27), anti-oxidative stress (thioredoxin-like 1 and ceruloplasmin), oxygen transportation (hemoglobin subunit alpha), and phospholipid hydrolysis inhibition (annexin A1 and A3). Notably, within the COP9 signalosome, high PAP had a more abundant subunit 4 but less abundant subunit 2 than low PAP. In the 80S ribosome complex, high PAP had more abundant proteins in the large 60S subcomplex (subunit uL3-like and subunit uL10) but less abundant proteins in the small 40S subcomplex (subunit protein RACK1). In oxidative phosphorylation, high PAP had more abundant ATP synthase membrane subunit K (complex V subunit) but less abundant cytochrome c oxidase subunit 5A (complex IV subunit). In beta-oxidation, high PAP had more abundant trifunctional enzyme subunit beta, while low PAP had more abundant very long-chain specific acyl-CoA dehydrogenase. Related to the cytoskeleton and microtubule function, high PAP had more abundant translationally-controlled tumor protein, microtubule-associated protein RP/EB family member 2, profilin-1, and FH1/FH2 domain-containing protein 1, while low PAP had more abundant alpha-dystroglycan and transforming protein RhoA. Among nuclear protein transporters, importin subunit alpha 3 and beta 1 were more abundant in low PAP, while nuclear transport factor 2 was more abundant in high PAP.
Conclusion: The remodeled oxidative phosphorylation and beta-oxidation, as well as less abundant antioxidant enzymes, could explain the lower mitochondrial efficiency and greater ROS production in high PAP muscle. High PAP muscle downregulated dephosphorylation and mitochondrial fission and upregulated chaperone to compensate for energy inefficiency and oxidative damage. Still, protein misfolding caused by oxidative stress might have triggered the upregulation of the ubiquitin-proteasome system to degrade misfolded proteins, which increased ATP demand and lowered positive energy balance in the muscle tissue. Along with the greater oxidative stress, there might also be increased phospholipid hydrolysis in high PAP muscle, which leads to greater fatty acid oxidation in fresh meat products during the retail display and faster meat discoloration. Furthermore, the whole proteome profile captured overabundant myofibril proteins and lower hemoglobin residue in high PAP muscle, indicating a greater type II/type I muscle fiber ratio.
Funding Source: Startup package.
Keywords: pulmonary hypertension, bovine, muscle, proteome.
202 Proteome Degradation During Muscle-to-Meat Conversion in Muscles With Similar Muscle Fiber Type
Chen Zhu1,*, Arya Niraula1, Yifei Wang2, Benjamin Bohrer2, Jeremy L. Balsbaugh3, Jennifer C. Liddle3, and Chaoyu Zhai1, 1Department of Animal Science, University of Connecticut, Storrs, CT 06269, USA, 2Department of Animal Sciences, The Ohio State University, Columbus, OH 43210, USA, 3Center for Open Research Resources and Equipment, Proteomics and Metabolomics Facility, University of Connecticut, Storrs, CT 06269, USA *chen.3.zhu@uconn.edu
Introduction/Objectives: Longissimus lumborum (LL) and semitendinosus (ST) are 2 muscles that have similar muscle fiber type proportions in pork but exhibit variations in meat quality attributes. Muscle-to-meat conversion varies among muscles and affects meat quality development. Skeletal muscle is highly susceptible to postmortem proteolysis due to the activation of proteases. Traditional gel-based methods have established targeted analysis of protein degradation. However, the protein degradation difference between LL and ST in the scope of the whole proteome has not been characterized. Peptidomics is the mass spectrometry-based quantification and identification of endogenous peptides. Therefore, the objective of this study was to use peptidomics to examine protein degradation variation between LL and ST during the early postmortem period.
Materials and Methods: The LL and ST biopsy samples at 1 h, 3 h, and 24 h postmortem were collected from 8 carcasses (n = 8) at a commercial processing facility. After endogenous peptide extraction, enrichment, and desalting, isolated peptides were separated by UPLC and analyzed by HCD/ETD MS/MS analysis using an Orbitrap Eclipse Tribrid. Peptide identification and quantification were achieved using MaxQuant and the UniProt porcine reference proteome. Total peptide abundances were summarized based on matched precursor protein, with adjustments based on the percentage coverage of the protein. Using the limma package in R, the abundances of degraded precursor proteins were compared between muscles at the same time point or among time points in the same muscle while considering sample correlation from the same animal. Differentially abundant precursor proteins (DAPs) were identified using Benjamini–Hochberg multiple testing adjustment with P < 0.05, fold change above 2, and above 4 observations in comparison. Precursor proteins with exclusive absence or presence (EAPs) in a muscle-time combination are first filtered based on the identification frequency within the muscle-time combination (≥50% for presence; 0% for absence) and then further summarized based on muscle type and time point.
Results: A total of 4,300 quantitated peptides were matched to 282 precursor proteins. A total of 120 DAPs were identified (P < 0.05) in the comparisons between muscles at the same time point or between time points within the same muscle: ST vs. LL at 1 h (1 with greater abundance; 22 with lower abundance), ST vs. LL at 3 h (5 with greater abundance; 41 with lower abundance), ST vs. LL at 24 h (79 with lower abundance), 3 h vs. 1 h in LL (9 with increased abundance), 24 h vs. 3 h in LL (75 with increased abundance; 2 with decreased abundance), 3 h vs. 1 h in ST (1 with increased abundance), 24 h vs. 3 h in ST (18 with increased abundance; 3 with decreased abundance). In total, 12 EAPs were identified among muscles (1 with exclusive presence in LL), time points (3 with exclusive presence at 24 h), and their combinations (1 with exclusive absence in ST at 1 h and 3 h; 1 with exclusive presence at ST at 24 h; 4 with exclusive presence in LL at 24 h; 2 with exclusive absence in LL at 24 h). The DAPs and EAPs included glycolytic enzymes (e.g., α-1,4 glucan phosphorylase, phosphofructokinase 1, glyceraldehyde-3-phosphate dehydrogenase), myofibrillar proteins (e.g., nebulin, desmin, troponin T, telethonin, α-actinin, α-actin, myozenin, myomesin, and myosin heavy chains), cytoskeleton proteins (e.g., β-actin, sarcoglycan, and transgelin), calpain systems (e.g., calpain-1 catalytic subunit, calpain small subunit, and calpain-3), heat shock proteins (e.g., heat shock protein β-1 and β-6), oxidative phosphorylation (e.g., complex IV and V), and calcium mobilization (e.g., junctophilin, voltage-dependent L-type calcium channel subunit β-1, sarcoplasmic/endoplasmic reticulum calcium ATPase, and calsequestrin).
Conclusion: Muscle-specific peptidome can effectively capture differentially degraded proteins during muscle-to-meat conversion. Although muscle fiber type proportions are similar between porcine LL and ST, the pattern and extent of protein degradation during early postmortem are affected by muscle type and postmortem time. Further study is warranted to apply peptidomics to muscle biology and meat quality research.
Funding Source: Startup package.
Keywords: postmortem, protein degradation, porcine, muscle.
Education and Extension Tools
203 Benchmarking Meat Science Curriculum and Resources in Higher Education in the United States: A 2024 Survey
Benjamin M. Bohrer* and Lyda G. Garcia, Department of Animal Sciences, The Ohio State University, Columbus, OH 43210, USA *bohrer.13@osu.edu
Introduction/Objectives: The Morrill Act of 1862 helped establish the foundation of land-grant institutions in the United States, which allowed each state to develop higher education programs that initially focused on agriculture, engineering, and practical education. The first formal meat science course, titled “instruction of killing, dressing, cutting, and curing meat,” was offered at the University of Minnesota in 1893. By 1930, there would be around 20 different higher education institutions offering formal meat science education and training programs. Over the past 100 years, there have been dynamic shifts in meat science as a higher education discipline, yet documented records of such data are scarce. Therefore, the purpose of this study was to provide a current benchmark for meat science curriculum and resources in the United States.
Materials and Methods: A benchmarking survey was created to quantify the number of meat science faculty, course offerings, undergraduate student enrollment, participation in intercollegiate meat judging, graduate student programs, graduate student enrollment, meat science lab capabilities, and perceived support of meat science programs from institutional colleagues, institutional leadership, and external stakeholders. The survey was shared with individuals from 187 higher education institutions (including fifty 1862 land-grant institutions, fifteen 1890 land-grant institutions, and 122 non-land-grant institutions). Thirty-six surveys were completed (including twenty-seven 1862 land-grant institutions, one 1890 land-grant institution, and 8 non-land-grant institutions). When applicable, survey results were coded using the binary system, with “no” represented by 0 and “yes” represented by 1. Data were analyzed in SAS (v9.4; SAS Inst. Inc.) using the MEANS procedure to determine measures of central tendency (mean, median, and mode) and measures of variation (minimum, maximum, and standard deviation) and the FREQ procedure to determine frequency distributions.
Results: The number of meat science faculty was quantified for central tendency with a mean of 3.7, a median of 3, and a mode of 2, and quantified for variation with a range of 0 to 14 and a standard deviation of 3.29. The number of total course offerings was quantified for central tendency with a mean of 4.5, a median of 3.5, and a mode of 2, and quantified for variation with a range of 0 to 16 and a standard deviation of 3.67. Undergraduate student enrollment for introductory courses was quantified for central tendency with a mean of 99.35 and a median of 60, and quantified for variation with a range of 0 to 400 and a standard deviation of 105.8. Undergraduate student enrollment for additional meat science courses (beyond that of introductory courses) was quantified for central tendency with a mean of 61.6 and a median of 40, and quantified for variation with a range of 0 to 300 and a standard deviation of 75.6. Twenty-five institutions indicated that their institution had had a meat judging program in the past, and 16 indicated that they were currently competing (in 2024). Thirty-one institutions indicated their institution has graduate programs in meat science at the Master’s level, and 29 institutions indicated their institution has graduate programs at the PhD level. Twenty-seven institutions indicated that their institution has a meat lab facility. The year in which meat science lab facilities were built (or underwent significant renovations) was quantified for central tendency with a mean of 1991 and a median of 1987, and quantified for variation with a range of 1952 to 2024 and a standard deviation of 23.3. The number of full-time meat science lab employees was quantified for central tendency with a mean of 1.9 and a median of 1, and quantified for variation with a range of 0 to 7 and a standard deviation of 1.63. The number of part-time student employees at meat labs (on an annual basis) was quantified for central tendency with a mean of 11.2 and a median of 9, and quantified for variation with a range of 0 to 60 and a standard deviation of 12.5. On a scale of 0-100 (with 0 being extremely low support and 100 being extremely high support), survey respondents reported scores of 65.30 for support among institutional colleagues, 57.77 for support among institutional leadership, and 71.47 for support among external stakeholders/commodity groups.
Conclusion: Overall, the results of this survey provide an initial benchmark highlighting the number of meat science faculty, the extent of educational programming, the number of students reached, meat science lab capabilities, and perceived support of meat science programs. Of the 36 institutions that responded to the surveys, the average meat science program consists of 3 meat science faculty instructing approximately 160 undergraduate students in meat science courses on an annual basis and providing graduate-level supervision of approximately 6 Master’s level graduate students (assuming 2-year programs) and 4 PhD graduate students (assuming 4-year programs) on an annual basis. This work is being conducted in meat lab facilities with an average date of construction of 1991, with approximately 2 full-time employees and 11 part-time student employees on an annual basis. The information herein provides a realistic benchmark for institutions to use for prioritization in a changing academic landscape.
Keywords: higher education, meat science.
204 Butcher’s Guide to Red Meat: Bridging the Knowledge Gap Between Meat Processors and Consumers
Kylie Krueger*, Kyle Grubbs, Keith Underwood, Amanda Blair, Christina Bakker, Department of Animal Science, South Dakota State University, Brookings, SD 57007, USA *kylie.krueger@sdstate.edu
Introduction/Objectives: A knowledge barrier commonly exists between the average American consumer and the meat industry. Most consumers are not familiar with the science and reasoning behind common meat processing methods. A few examples of disconnect include understanding carcass yield differences, methods and length of aging, meat color chemistry, and how cutting methods impact potential retail cuts. The objective of this project was to determine meat science knowledge gaps among small meat processors to aid in the development of a guide to serve as an educational resource to reference for employee training and when interacting with consumers.
Materials and Methods: South Dakota State University employees attended the Minnesota and South Dakota Association of Meat Processors’ Conventions in 2024. A survey was administered to meat processors at both locations that consisted of 10 questions, each designed to provide insight into each individual operation, and to learn about common questions and concerns expressed by customers. Additionally, a listening session was conducted at the South Dakota Meat Processors’ Convention to identify additional topics that would be useful to address in the guide. Data from survey respondents (n = 41) were analyzed using the FREQ procedure of SAS. Several questions were “Select all that apply,” which resulted in some data totaling over 100%.
Results: Of the processors that responded to the survey, 73.8% indicated they fabricate whole carcasses at their facility, and 83.3% reported they purchase boxed wholesale product for further fabrication. Additionally, a majority of processors (88.1%) sold both fresh and frozen products, with 11.9% only selling frozen products. Most processors (51.3%) practiced wet aging, while 23.1% dry-aged product, and 25.6% utilized both aging methods. When asked about packaging, a majority of meat processors (95.1%) utilized vacuum packaging, followed by butcher paper (65.9%), then roll stock (43.9%). Less common forms of packaging included tray overwrap (39.0%) and modified atmosphere packaging (4.9%). Processing facilities indicated the emerging beef cuts commonly requested by consumers include tri-tip (89.2%), followed by flat iron and chuck eye steaks (both at 86.5%), Coulotte (51.4%), and Denver steaks (40.5%). Lesser requested cuts included inside chuck roast (37.8%), baseball-style sirloin steaks (35.1%), outside chuck roast (24.3%), ranch steaks (21.6%), and finally the Sierra cut (10.8%). Most processors (82.9%) did not develop any unique names for products they carried. Regarding consumer concerns and questions, 23.0% of processors reported that consumers expressed concerns with the color of their products. Other topics included: meat prices, where livestock were sourced, grain versus grass-fed cattle, carcass yields, shelf life, product freezing, packaging appearance, and carcass aging. Additional topics processors sought more information about included: breed impacts on beef quality and how to explain how much meat a carcass should yield in order to manage consumer expectations.
Conclusion: Based on the listening session and the survey results, easily attainable information is desired to guide processors’ conversations with customers. Moreover, processors have expressed interest in additional training opportunities to fabricate emerging cuts such as Denver steaks. To meet these needs, the Butcher’s Guide to Red Meat was developed, including written instructions for the fabrication of beef, pork, and lamb, with directional terminology and skeletal structures for reference. In addition to written instructions, videos were created for beef and pork fabrication. Based on the data collected, additional topics were also included to address common customer concerns. These include alternative names of cuts, carcass yield expectations, fresh meat color, product storage methods, packaging options, beef product aging, and grass versus grain-finished carcass characteristics, along with a troubleshooting section to discuss product defects. Overall, the Butcher’s Guide to Red Meat should be a useful resource to further educate meat processors and their consumers.
Funding Source: This material is based upon work supported by USDA/NIFA under Award Number 2022-70419-38561.
Keywords: training, fabrication, education, meat processing.
205 MEATRICS: Using Advanced Analytics to Understand Collegiate Meat Judging Team Performance
Zane Ortman*, Benjamin M. Bohrer, Yifei Wang, and Lyda G. Garcia, The Ohio State University, Department of Animal Sciences, Columbus, OH 43210, USA *ortman.67@osu.edu
Introduction/Objectives: In the United States, the intercollegiate meat judging program consists of teams of undergraduate students competing in structured contests aligning with industry practices to determine the quality and yield of carcasses and wholesale cuts. Today, the American Meat Science Association (AMSA) sponsors 4 Fall contests: 1. The Eastern National, 2. The American Royal, 3. The Cargill High Plains, and 4. The International. Each contest consists of 4 students competing as a team. Contest divisions include the placing of 10 classes, writing reasons for 5 of the 10 classes, evaluating quality and yield grades to 15 beef carcasses, and evaluating 10 wholesale cuts for cutting specifications. While much attention is provided to each division when preparing a team to compete in a contest, advanced analytics of meat judging results are lacking. The objective of this study was to use statistical models to build prediction models of meat judging team contest outcomes.
Materials and Methods: Data for the 4 AMSA-sponsored intercollegiate meat judging contests that occur each fall (The Eastern National, The American Royal, The Cargill High Plains, and The International) were procured over 17 years (2007 to 2024). Only data from the senior/American division (i.e., data from junior/National division were omitted) and full teams (i.e., teams with less than 4 members were omitted) were used. A total of 853 team scores were used, representing 24 different universities. For the purposes of this analysis, the dependent variable was defined as the overall team rank, and the independent variables were defined as beef judging score and rank, pork judging score and rank, lamb judging score and rank, total placing score and rank, total reasons score and rank, beef grading score and rank, and specifications score and rank. Linearity between the dependent variable and independent variables was tested by evaluating scatterplots of the variables, independence of errors was tested using the AUTOREG procedure of SAS (version 9.4; SAS Inst. Inc.) and revealed a Durbin-Watson test value of 1.97, homoscedasticity of variance was tested by evaluating scatterplots of residuals and fitted values, normality was tested with frequency distributions, and multicollinearity was tested with an evaluation of variance inflation factor and all independent variables were below a VIF value of 8. Two different stepwise regression models were generated with the REG procedure of SAS, and significance level thresholds for a variable to be added to the model were set to P ≤ 0.15. The first model was overall team rank as the dependent variable and beef judging rank, pork judging rank, lamb judging rank, total placing rank, total reasons rank, beef grading rank, and specifications rank as independent variables. The second model was overall team rank as the dependent variable and beef judging score, pork judging score, lamb judging score, total placing score, total reasons score, beef grading score, and specifications score as independent variables.
Results: The first regression model [overall team rank = −1.192 + 0.221 (reasons rank) + 0.316 (beef grading rank) + 0.117 (placing rank) + 0.233 (specification rank) + 0.138 (beef judging rank) + 0.079 (pork judging rank) + 0.065 (lamb judging rank)] had all 7 of the independent variables enter the model at a significance level threshold of P < 0.01, and the model explained 93.1% of the variation in overall team rank with a Mallows’ C(p) statistic of 8.0 (indicative of a good model). Reasons rank explained 76.8% of the variation in overall team rank, beef grading rank explained 8.9% of the variation in overall team rank, placings rank explained 4.2% of the variation in overall team rank, specifications rank explained 2.8% of the variation in overall team rank, beef judging rank explained 0.2% of the variation in overall team rank, pork judging rank explained 0.2% of the variation in overall team rank, and lamb judging rank explained 0.1% of the variation in overall team rank. The second regression model [overall team rank = 71.623−0.036 (reasons score)−0.017 (beef grading score)−0.018 (specifications score)−0.011 (placings score)−0.007 (pork judging score)] had 5 of the 7 independent variables enter the model at a significance level threshold of P < 0.05 and the model explained 68.7% of the variation in overall team rank with a Mallows’ C(p) statistic of 5.6 (indicative of a good model). Reasons score explained 52.8% of the variation in overall team rank, beef grading score explained 10.4% of the variation in overall team rank, specification score explained 4.2% of the variation in overall team rank, placings score explained 1.1% of the variation in overall team rank, and pork judging score explained 0.2% of the variation in overall team rank. Beef judging score and lamb judging score failed to enter the model at a significance level threshold of P ≤ 0.15.
Conclusion: Overall, these findings suggest that the written reasons division explains the most variation for overall team rank at intercollegiate meat judging contests (accounting for 76.8% of the total variation for overall team rank when using the team ranking for reasons and 52.8% of the total variation for overall team rank when using the team scores for reasons). Beyond the reasons division, the 3 divisions that explain the most variation for overall team rank at intercollegiate meat judging contests were beef grading, placings, and specifications. As intercollegiate meat judging contests continue as a valuable educational opportunity for students, these results could be used to help coaches of varying experience levels prioritize the training of their students for meat judging contests while capitalizing on available time and resources.
Keywords: intercollegiate meat judging.
206 Student Perspectives on the Use of Collaborative Learning in an Introductory Animal Products Course
Bo M. C. Garcia and Michaella A. Fevold*, Department of Animal Sciences, University of Nebraska-Lincoln, Lincoln, NE 68588, USA *mfevold2@unl.edu
Introduction/Objectives: Collaborative learning is a pedagogical approach used to encourage more active engagement in the classroom using several collaborative activities, such as group discussions, case studies, and group summative assessments. Collaborative learning has been shown to improve soft skills, such as communication and teamwork, in college students, as well as promote a sense of community in the classroom. While there is significant data to show the benefits of collaborative learning in college classrooms, there has been very little evidence shown in an animal products classroom. The objective of this study was to better understand student perspectives on the use of collaborative learning in an introductory animal products class and the perceived benefits on student enjoyment in the classroom and the development of soft skills.
Materials and Methods: Students enrolled in ASCI 210: Animal Products voluntarily participated in 2 surveys related to their perspectives on the use of collaborative formative (n = 19) assessments and collaborative summative (n = 21) assessments in the course. Random groups of 4 to 5 students were created at the beginning of the semester, which served as the students’ learning group. In these groups, students participated in collaborative formative assessments, such as case studies, and collaborative summative assessments, which included both quizzes and exams throughout the semester. In summative assessments, students took identical individual and group assessments, and their scores for each were averaged for their final score. The surveys evaluated students’ perspectives on the use of collaborative learning on their overall learning in the course, overall enjoyment of course activities, and how the assessments improved their critical thinking, communication, and teamwork skills. Students were also given the opportunity to share narratives of the benefits or drawbacks of using collaborative learning. Quantitative data were analyzed using the PROC FREQ procedure of SAS Studio (SAS Institute, Cary, NC, USA). Qualitative narrative data were analyzed using thematic analysis, which was completed by hand. This research was approved as exempt by the University of Nebraska-Lincoln institutional review board, #20240123414EX.
Results: For formative assessments, 63% of students strongly or somewhat agreed they were beneficial to their learning, while 26% of students strongly or somewhat disagreed on their benefit. 68% of students found they enjoyed learning more when they were engaged in formative assessments, while 26% of students did not enjoy the assessments. 63% of students found formative assessments were extremely to very effective at improving their critical thinking and teamwork skills, with 53% reporting these findings for communication skills. In contrast, 37% of students reported formative assessments were moderately to slightly effective at improving their critical thinking skills, with 42% and 32% reporting these findings for communication and teamwork skills, respectively. Several positive themes were reported by students, which included collaboration/teamwork, accountability, and critical thinking. The most common negative theme reported was unfair workloads in learning groups, with some students also reporting issues with communication and disagreements. Overall, 58% of students had a positive perception of using formative collaborative assessments in the classroom, with 37% and 5% of students reporting a neutral or negative perception, respectively. For summative assessments, 81% of students strongly or somewhat agreed they were beneficial to their learning, while no students strongly or somewhat disagreed on their benefit. 86% of students found they enjoyed learning more when they were engaged in summative assessments, while no students reported that they did not enjoy these assessments. 67% of students found summative assessments were extremely to very effective at improving their critical thinking, with 52% reporting these findings for communication and teamwork skills. In contrast, 33% of students reported formative assessments were moderately to slightly effective at improving their critical thinking skills, with 48% reporting these findings for communication and teamwork skills. 48% of students reported they felt more responsibility to study for quizzes and exams compared to other courses, with 48% reporting the same level of responsibility and 4% reporting less responsibility. Several positive themes were reported by students, which included collaboration/teamwork, different perspectives, and community building. The most common negative theme reported was unfair workloads in learning groups. Overall, 76% of students had a positive perception of using summative collaborative assessments in the classroom, with 24% reporting a neutral perception.
Conclusion: The findings of this study suggest that collaborative learning activities positively influence student perceptions of learning in an introductory animal products course. Both formative and summative assessments were generally well received, with a majority of students reporting benefits to their critical thinking, communication, and teamwork skills. Summative assessments were perceived more favorably, with higher percentages of students reporting their positive impact on learning and the development of soft skills. While collaboration was a common benefit, uneven workloads were reported as negative influences on student learning. These findings highlight the potential of collaborative learning to improve student experiences in animal products courses while also identifying areas for improvement in group dynamics. Further research should explore strategies to mitigate challenges and further optimize collaborative learning models in similar educational settings.
Funding Source: No funding was used for this project.
Keywords: pedagogy, collaborative learning, group assessments.
207 Introductory Culinary Meat Science Course Attracts Nontraditional Students, Improves Student Understanding of Meat Science Concepts, and Provides Valuable Insight to Improve Undergraduate Recruitment
Jessica A. Brown*, Bernadette M. O’Rourke, and Steven C. Ricke, Meat Science and Animal Biologics Discovery Program, Department of Animal & Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA *jabrown35@wisc.edu
Introduction/Objectives: Meat science education plays a crucial role in advancing the meat industry by training the leaders of tomorrow. As the number of students with a traditional agricultural background continues to decline, academic institutions have had to reevaluate their recruitment strategies to attract a more diverse student population. Very few studies have been conducted to characterize the demographics of students enrolling in introductory meat science courses; therefore, educators have relied on anecdotal evidence to shape their recruitment and teaching approaches. The objective of this study was to collect demographic information from students who enrolled in an introductory meat science course, determine the existing level of understanding for culinary and meat science topics, and evaluate the effectiveness of the teaching method to improve overall and topic-specific understanding. These results will provide meat science educators with the necessary information to make data-driven decisions aimed at increasing undergraduate recruitment and enhancing teaching effectiveness.
Materials and Methods: This study consisted of a voluntary, anonymous survey of undergraduate students enrolled in the ANSCI 375 Introduction to Culinary Meat Science course at the University of Wisconsin-Madison during the Fall 2024 semester. This was a 2-credit elective course meeting once a week for 2 h. Each class period was focused on one topic and included lecture material and a hands-on interactive lab to reinforce the presented material. Course topics included history, consumer food safety, farm-to-plate, cookery methods, batter and breading, processed meats, BBQ, variety meats, alternative proteins, charcuterie, research and development, flavor development, sensory science, nutrition, and labeling. Students were graded on class participation, weekly quizzes, a midterm exam, and a final project. The final project required students to use the knowledge gained throughout the semester to plan and prepare a meal at home and present that process to the class. Participating students were asked to complete 2 questionnaires, once at the start of the course (pre-course) and again after completing the course (post-course). Questionnaires were given during class time and administered through an online platform (Qualtrics). Participating students received 5 extra credit points as compensation. The questionnaire was estimated to take 20 min to complete and consisted of 10 demographic questions, 8 preference questions, and a multipart question asking the participants to self-evaluate their level of understanding using the 5-point Likert scale. Due to the minimal risk associated with this survey, it met the criteria for exempt human studies as assessed by the institutional review board at UW-Madison. Demographic data were characterized based on the results obtained in the pre-course questionnaire. Preference data were characterized separately for the pre- and post-course questionnaires. Level of understanding results were analyzed using a linear regression model and one-way ANOVA with time of test as the independent variable (pre or post; p£0.05). Estimated marginal means and standard errors were calculated for each subquestion using the emmeans package in R Studio.
Results: A total of 19 students were enrolled and successfully completed the introductory meat science course. All students completed the pre-course questionnaire (n = 19), and the majority of those completed the post-course questionnaire (n =17). Participating students represented 3 academic levels: junior (60–89 credits; 58%), senior (90+ credits; 32%), and sophomore (30–59 credits; 11%). All students were enrolled in the College of Agriculture and Life Sciences and majored in either Animal & Dairy Sciences or Food Science. The majority of the students identified as female (68%) and/or Caucasian (58%); however, several gender identities and ethnicities were represented. Most students reported spending their childhood in a central city or suburban area (over 50,000 people; 52%) and were not involved in 4-H or FFA (79%). Only 3 students reported growing up on a farm (16%) and being involved in either FFA (16%) or 4-H (16%). The most popular reason for taking this course was to learn how to prepare meat (79%), followed by a desire to know where meat comes from (53%) and an interest in culinary science (53%). Most students reported hearing about this course through their academic advisor (79%), the course flyer (32%), or the course catalog (26%). All students reported consuming animal-based meat products at least several times a week, with poultry consumed most frequently and plant-based protein sources most avoided. In the pre- and post-course questionnaire, students identified price, health, and flavor as the most influential factors when purchasing protein. In the pre-course survey, students were most interested to learn more about nutrition, research and development, and cookery methods. In contrast, in the post-course survey, they were most interested to learn more about BBQ, cookery methods, and career opportunities. The cumulative mean level of understanding at the start of the course was 3.31 (neither agree nor disagree), with safe food handling being the most self-reported understood topic (4.11). After completion of the course, the cumulative mean level of understanding increased by approximately 1 point to 4.26 (somewhat agree; P <0.0001). Not only was an improvement in overall understanding observed, but the mean score for all topics increased (P < 0.012). Additionally, in the post-course survey, all levels of understanding scores were self-reported at or above 3 (neither agree nor disagree). This course did not impact whether students would consider a career in the food industry, with yes (n = 10) and no (n = 2) responses remaining the same in the pre- and post-course questionnaires.
Conclusion: Overall, the Introduction to Culinary Meat Science course has been a success because it recruited 19 students to enroll and improved students’ understanding of several topics within meat science and culinary arts. The demographic information suggests that this course recruited a majority of non-traditional agricultural students; however, in order to target a wider range of students earlier in their academic careers, educators need to explore additional recruitment tools beyond department-specific academic advisors.
Funding Source: The authors would like to acknowledge the University of Wisconsin-Madison Animal & Dairy Sciences Department for financially supporting the Introduction to Culinary Meat Science course.
Keywords: teaching, questionnaire, student, education, recruitment.
208 Innovative Teaching in Meat Science: Microlearning Meat Evaluation
Bo M.C. Garcia*, Bryan A. Reiling, Nathan Conner, and Kimberly Stanke, University of Nebraska-Lincoln, Lincoln, NE 68588, USA *bgarcia18@unl.edu
Introduction/Objectives: Generation Z, born between 1997 and 2012, encompasses most students enrolled in college today. These students are characterized as active, self-directed learners who grew up seeking and engaging with online resources. They prefer visual and interactive learning, and their attention span is short. Microlearning, which subdivides complex ideas into short but focused elements, may provide an opportunity to embody the preferences of Generation Z students while enhancing their recollection of key concepts. The objective of this study was to evaluate student perceptions and the effectiveness of microlearning components that included the incorporation of short videos, infographics, and interactive elements embedded into the existing curriculum of an introductory meat evaluation course.
Materials and Methods: Microlearning content was developed for an introductory meat evaluation and judging course taught during the Fall semester of 2024. Content was designed to be multimodal and multisensory, incorporating infographics, short videos (5 min or less), gamification elements, and interactive formats. Written content was limited to 2 pages or fewer. To enhance accessibility and engagement, the microlearning library was housed on Instagram, providing students with a familiar and user-friendly interface. Embedded microlearning was introduced during the second half of the semester, covering 6 of 12 course topics. The first half of the course followed a traditional lecture format to establish a baseline for comparison. Topics covered through microlearning included beef yield grading, beef quality grading, beef value-based pricing, beef carcass evaluation, beef cut evaluation, and beef specifications. Each topic featured a minimum of 5 microlearning segments embedded within the primary PowerPoint lecture material. A questionnaire using a 4-point Likert-type scale (Strongly Agree, Agree, Disagree, Strongly Disagree) was administered to all 11 undergraduate students who completed the course to evaluate their perception of and engagement with microlearning course content. The neutral option was excluded to measure directional agreement more clearly. The questionnaire, developed using Qualtrics, was distributed electronically through the university student listserv and QR-coded posters in the classroom. The optional and anonymous questionnaire was completed during the final class session before finals week, in the absence of the course instructor. Purposive sampling ensured that only students enrolled participated, providing targeted feedback on microlearning preferences, efficacy, and engagement. Student learning outcomes were assessed through 4 exams, administered approximately every 4 wks. Exams included multiple-choice, fill-in-the-blank, and open-ended questions, accounting for 45% of the total course grade. Scores from microlearning-based and non-microlearning-based topics were compared to evaluate the impact of microlearning on learning outcomes. Frequency distributions were analyzed to assess trends in student responses to the questionnaire. A mixed model analysis using the PROC Mixed procedure in SAS was conducted to evaluate the effect of exam type on student scores, accounting for repeated measures within subjects. The student was treated as a random effect, and the exam was treated as a fixed effect.
Results: Before enrollment, 81.8% of students were unfamiliar with the concept of microlearning. After exposure, 81.8% of students (Agree or Strongly Agree) indicated that microlearning positively contributed to their overall performance in the course, and 81.8% preferred microlearning over traditional learning methods. Most students (90.9%) agreed or strongly agreed that microlearning helped them engage with course material, and 72.7% believed they performed better on assessments associated with microlearning course content. Additionally, 81.8% indicated that microlearning was more effective than traditional learning methods at helping them retain information. Microlearning was regularly accessed outside of class meeting times, with 72.7% of students engaging weekly. Accessibility was high, with 63.6% accessing content via their phone and 54.5% using a computer or laptop. Regarding delivery methods, 54.5% indicated that the social media platform, Instagram, was useful for hosting microlearning content. Moreover, 72.7% of students preferred course material with microlearning content, and 81.8% reported they would recommend courses with microlearning to other students. Exam Scores: A mixed model analysis was conducted to evaluate the effect of exam type on student performance. Data from 11 subjects who completed 4 different exams were analyzed using the SAS Mixed Procedure. The dependent variable was exam score, and the covariance structure was specified as compound symmetry with the subject as a random effect. A total of 44 observations were included in the analysis. Least-squares means for exam scores were highest for Exam 4 (91.56 ± 0.60), followed by Exam 3 (89.37 ± 0.60), Exam 2 (86.07 ± 0.60), and Exam 1 (78.35 ± 0.60). Pairwise comparisons using the Tukey-Kramer adjustment indicated that Exam 1 scores were significantly lower than Exam 2 (−7.73, P < 0.0001), Exam 3 (−11.03, P < 0.0001), and Exam 4 (−13.22, P < 0.0001). Similarly, Exam 2 scores were significantly lower than Exam 3 (−3.30, P < 0.0001) and Exam 4 (−5.49, P < 0.0001). Again, microlearning pedagogy was associated with Exams 3 and 4 assessment material, and traditional lectures were associated with Exams 1 and 2. Exams covering microlearning-based content had higher mean scores (89.33 ± 0.45) compared to non-microlearning-based exams (82.21 ± 0.45, P < 0.0001). These findings suggest that the incorporation of microlearning may significantly influence student performance.
Conclusion: Findings suggest that embedded microlearning is an effective instructional method for improving student engagement and learning outcomes in an introductory meat evaluation course. After exposure to microlearning content, 81.8% of students preferred microlearning compared to traditional lectures, agreeing that it enhanced knowledge retention. Over 90% of students agreed that microlearning helped them stay engaged, and 72.7% believe it improved their assessment performance. Exams covering microlearning-based content had higher mean scores (89.33 ± 0.45) compared to non-microlearning-based exams (82.21 ± 0.45, P < 0.0001). While improved performance may partly reflect growing familiarity with assessment style, questionnaire responses support microlearning’s positive impact on assessment outcomes. To help isolate the effect of microlearning, continuation of this project in future semesters will rotate course topics, subject to microlearning. These results support the efficacy of microlearning in enhancing both student engagement and academic performance, providing valuable insights for future curriculum development and instructional strategies.
Keywords: microlearning, meat evaluation, innovative teaching. Pedagogy.
209 Assessing the Capabilities, Opportunities, and Motivations to Implement Updated Appendix A & B Guidelines in Small Meat Processors Within the Midwest
Mason J. Prester1,*, Lauren M. Frink1, Stephanie L. Witberler1, Ellen A.M. Sosa1, Marvin O. Tzirin1, Marianna B. Paredes1, Paul D. Ebner2, Travis G. O’Quinn1, and Jessie L. Vipham1, 1Kansas State University, Manhattan, KS 66506, USA, 2Purdue University, West Lafayette, IN 47907, USA *mason578@ksu.edu
Introduction/Objectives: Food safety in meat processing is vital, and federal guidelines, including the USDA-FSIS’s 1999 Appendix A & B, help reduce foodborne illness risks through scientifically supported procedures. Small meat processors, often limited in financial and human resources, face unique challenges in adopting these guidelines, including regulatory compliance, labor shortages, and supply chain disruptions (Syukron & Su, 2023). The Capability-Opportunity-Motivation-Behavior (COM-B) model serves as a framework to explore the behavior influencing compliance by examining 3 constructs: capability (skills/knowledge), opportunity (resources/support), and motivation (willingness to comply). This study assessed these constructs among Midwestern small meat processors regarding the updated Appendix A & B guidelines, analyzing changes pre-training, post-training, and 6 mos later, along with state-specific variations.
Materials and Methods: A 33-question survey, previously validated by Mosimann et al. and Sosa et al., was adapted to 30 questions to assess Midwest small meat processors’ likelihood of implementing updated USDA-FSIS Appendix A & B guidelines based upon a 1-h training program. The digital survey, distributed via Qualtrics XM, used a 7-point Likert scale (1 = Strongly Disagree, 7 = Strongly Agree) to evaluate capability, opportunity, motivation, and demographics (e.g., gender, age, product types, prior training). Participants were recruited through the State Meat Processors Associations in Kansas, Nebraska, Oklahoma, and South Dakota. At each state’s annual conference, participants attended a 1-h training session on the guidelines’ history, updates, challenges, and solutions. The survey was administered before, immediately after, and 6 mos after the training session. Statistical analysis used the GLIMMIX procedure in SAS (α = 0.05). Fixed effects were analyzed for pre-and post-training, including survey timing, state, and their interaction, while only survey timing was considered for 6-mo follow-ups. Training status (Yes/No) was included as a random effect, with Kenward-Roger’s approximation applied.
Results: Average perceived capability scores improved (P < 0.05) from pre-training (3.63) to post-training (4.37) and remained higher after 6 ms (4.40). Moreover, within the construct of capability, responses demonstrated that familiarity with the updated guidelines also increased (P < 0.05) between pre- and post-training, as well as after 6 mos (3.41, 4.35, 4.76, respectively). Perceived workforce sufficiency also significantly reduced (P < 0.05) 6 mos post-training (3.29). At the state level, Nebraska (5.43) had the highest perceived capability, while South Dakota (3.10) had the lowest. Cost awareness followed a similar trend (P < 0.05), with Nebraska (5.19) reporting the highest perceived capability, Oklahoma (3.55), and South Dakota (3.07) reporting the lowest. Perceived motivation declined (P < 0.05) 6 mos post-training (4.39) from pre-training (5.13) and post-training (5.18). Statements on product quality (2.50), business benefits (2.89), and reputation (2.22) showed similar declines (P < 0.05). State differences were significant (P < 0.05), with Nebraska reporting lower motivation for consumer expansion (2.58) and revenue growth (3.25) than Kansas (4.84) and Oklahoma (4.94, 4.78). Nebraska’s motivation dropped (P < 0.05) sharply from pre-training (4.17) to post-training (1.00).
Conclusion: This study found that a 1-h training session on the updated Appendix A & B guidelines improved the perceived capabilities of Midwest small meat processors. However, perceived opportunity remained limited, especially regarding workforce availability, and perceived motivation declined by 6 mos post-training, particularly in relation to quality and profits. Nebraska processors reported higher capability but lower motivation to implement the guidelines, suggesting state-level differences in adoption behavior. Future efforts should focus on enhancing motivation through education, regulation, or legislation, while further research is needed to address workforce challenges in small meat processing.
Funding Source: Kansas State University.
Keywords: COM-B, Appendix A, Appendix B.
210 Protein Intake Among a College Student Population in Las Cruces, New Mexico
Savannah C. Napie1, Makenzie R. Webster1,*, Daniel Aguilar2, Stephanie M. Arnett2, and Francine Mezzomo Giotto1, 1Department of Animal and Range Sciences, New Mexico State University, Las Cruces, NM 88003, USA, 2Department of Sociology, New Mexico State University, Las Cruces, NM 88003, USA *makweb27@nmsu.edu
Introduction/Objectives: Diet plays a crucial role in the health and well-being of college students, who require a balanced intake of essential nutrients, vitamins, and macro- and micronutrients. Despite common misconceptions, increased protein intake has shown benefits across various populations, and research on the optimal amount of protein for good health is ongoing and far from settled. Among college students, challenges related to protein intake could arise from limited mobility, medical conditions such as restricted movement, social and psychological barriers, the rising cost of food, and limited cooking accessibility in dorms. Therefore, this study aimed to assess and understand protein intake among college students in Las Cruces, New Mexico.
Materials and Methods: Upon approval from the institutional review board (2503174631), electronic surveys consisting of 26 questions covering demographic, socioeconomic, health, dietary habits, social behavior, and disability-related topics were administered via REDCap. Participants first read an informed consent form and were asked, “Do you want to participate in this survey?” Only those who answered “yes” were allowed to proceed. A total of 475 participants, comprising undergraduate and graduate students from various majors, completed the questionnaire. After excluding participants younger than 18 years, 430 remained for analysis. Linear regression and descriptive analyses were run on IBM Statistical Package for the Social Sciences. Protein intake, including steaks, ground beef, poultry, sausages, hamburgers, deli meats, and seafood, was determined by multiplying self-reported portion sizes by the frequency of weekly consumption, using an inventory questionnaire based on a standard 3-oz portion. Protein values (g) were obtained from the National Nutrient Database for Standard Reference Legacy. Total protein intake was evaluated against the Recommended Dietary Allowance (RDA) of 0.8 g/kg of body weight per day.
Results: The ages of participants ranged from 18 to 68 years. In terms of gender, 65.1% of participants were female, while 32.6% were male. Additionally, 87.4% were undergraduate, and 12.1% were graduate students. The average weight of participants was 74kg, with activity levels ranging from non-active (0.9%) to low or active (40%) to very active (18.8%). While 81.6% of participants reported no mobility issues, 1.4% reported severe mobility issues. Despite 69.5% of participants expressing uncertainty about consuming enough protein, our dataset showed that 11.9% did not meet the recommended intake, whereas 87.9% were consuming more than the recommended daily amount. Daily protein intake ranged from 6.96g to 305.68g, with an average intake of 114.42g. Additionally, 29.8% of participants reported eating more protein when dining with others. For income, 51% of respondents have an annual income ranging from $9,999 to $49,999. Among the challenges in accessing protein, participants reported cost, time management, reduced shelf life of protein products, an aversion to cooking, and limited protein options at the university cafeteria.
Conclusion: For a relatively active adult, meeting the Recommended Dietary Allowance (RDA) for protein would account for as little as 10% of their total daily calorie intake. Despite the promising number of students meeting or exceeding the recommended minimum protein intake, we aim to explore in depth the relationship between income and protein accessibility among our participants, as well as the main factors contributing to the 11.9% who are not meeting the recommended daily values.
Funding Source: This work was supported by funding from the NM Agricultural Experiment Station ACES Undergraduate Research Scholar Program.
Keywords: assessment, college students, protein, survey.






































