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Research Article

Analysis and Characterization of the Volatile Flavor Compounds Associated with the Wooden Breast Condition  

Authors
  • Thu Dinh (Tyson Foods)
  • Hunter Hessler (Mississippi State University)
  • Xue Zhang (Mississippi State University)
  • Sawyer W. Smith (Mississippi State University)
  • K. Virellia To (Virginia Polytechnic Institute and State University)
  • Tessa R. Jarvis (Archer Daniels Midland)
  • Shangshang Wang (Tyson Foods)
  • M. Wes Schilling (Mississippi State University)

Abstract

The wooden breast defect in broiler breast meat is characterized by hardened and pale areas at both the caudal and cranial regions of the breast. Extensive research has been conducted on the texture, sensory quality, pH, color, and omics expression to characterize differences between normal and woody broiler breast meat and possible causes of this myopathy. However, minimal literature is available on the differences in volatile compound characterization between woody and nor- mal breast (NB) meat. Volatile aroma differences may be associated with off-flavor, which was previously reported in woody breast meat. Therefore, the objective of the current study was to determine the flavor differences between ground patties made from normal and severe woody breast (SWB) meat using gas chromatography–mass spectrometry, gas chromatography–olfactometry, and sensory descriptive analysis. Chicken patties were also evaluated for pH, color, cooking loss, and protein bind. Forty-eight individual volatile flavor compounds were identified in the chicken samples including aldehydes, ketones, and other functional groups. Patties made from woody breast meat had greater concentrations of oxidation products, including aldehydes, alcohols, and hydrocarbons. The most intense aroma compounds were hexanal, 1-octen-3-ol, 2-pentyl furan, 2-ethylhexyl acetate, and 1-nonanol. Since breast meat only contains approximately 2–3% fat, these volatile compounds are most likely formed from phospholipid oxidation in the cell membrane and protein oxidation. Woody breast meat also had a greater cooking loss and lesser protein binding, confirming previous differences between patties formulated from normal and SWB meat. Results indicated that when the chicken breast was ground into patties, woody breast meat was more susceptible to oxidation and off-flavors than NB meat.

Keywords: woody breast, flavor, volatile compounds, broiler breast, oxidation, gas chromatography-olfactometry, volatile flavor compounds

How to Cite:

Dinh, T., Hessler, H., Zhang, X., Smith, S. W., To, K. V., Jarvis, T. R., Wang, S. & Schilling, M. W., (2025) “Analysis and Characterization of the Volatile Flavor Compounds Associated with the Wooden Breast Condition  ”, Meat and Muscle Biology 9(1): 18392, 1-12. doi: https://doi.org/10.22175/mmb.18392

Rights:

© 2025 Dinh, et al. This is an open access article distributed under the CC BY license.

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Published on
2025-02-10

Peer Reviewed

Introduction

Chicken consumption has steadily increased in the United States since 1970 from a per capita consumption of 16.6 kg/y to greater than 45 kg/y in 2023 (USDA, 2023; National Chicken Council, 2024). This increased demand for chicken has led to the production of broilers with fast growth rates, increased breast yields, and reduced fat. For example, broilers are grown to greater than 4 kg in 8 wks in 2023 compared to less than 2 kg in 10 wks in the 1970s (National Chicken Council, 2024). Due to this increase in growth, the birds are more susceptible to spontaneous or idiopathic myopathies (Petracci and Cavani, 2012; Sihvo et al, 2014, Che et al., 2022), which has contributed to breast meat abnormalities, including deep pectoral myopathies, pale, soft, and exudative-like meat, and white striping (Petracci and Cavani, 2012). In 2013, a defect in broiler breast meat was characterized by hardened and pale areas at both the caudal and cranial regions of the breast and was defined as “wooden breast” or “woody breast” (Sihvo et al., 2014). Woody breast meat is more prevalent in larger broilers with fast growth rates. Although much research has been conducted on woody breast meat about how the condition impacts the texture and quality of the meat (Aguirre et al., 2018; Cai et al., 2018; Jarvis et al., 2020a; Jarvis et al., 2020b; Sihvo et al., 2014), minimal research could be found regarding differences in volatile flavor compounds and their concentrations between woody and normal broiler breast meat.

The fibers in woody breast meat have varying degrees of myo-degradation with different shapes and sizes that can impact quality traits such as pH, color, water-holding capacity (WHC), and texture (Velleman, 2019). Woody breast meat has a greater pH and is lighter, redder, and more yellow than normal chicken breast meat (Cai et al., 2018; Dalgaard et al., 2018; Jarvis et al., 2020a; Kuttappan et al., 2016; Wold et al., 2017; Zotte et al., 2017). Texture profile and sensory descriptive analysis results have indicated that woody breast meat is harder, chewier, springier, gummier, crunchier, and less mushy than normal breast (NB) meat (Aguirre et al., 2018; Brambila et al., 2017; Chatterjee et al., 2016; Jarvis et al., 2020a; Soglia et al., 2016). Off-flavors associated with woody breast meat have been previously described as sour, raw, or uncooked (Jarvis et al., 2020a; Jarvis et al., 2020b). The flavor of a product is associated with the volatile compounds in the product, and the quantification and identification of these compounds are commonly analyzed using gas chromatography–mass spectrometry (Jin et al., 2021; Klein et al., 2018). Although fatty acid composition is similar between NB meat and severe woody breast (SWB) meat, SWB contains 30%–40 % more lipid than NB meat, which translates to 30%–40 % greater phospholipids and other unsaturated fatty acids (Villegas-Cayllahua et al., 2024). This could potentially lead to greater production of volatile flavor compounds such as aldehydes and ketones. Although there has been extensive research on the volatile flavor compounds of normal chicken, only one paper was found for woody breast meat volatile composition, in which the authors identified 22 volatile compounds with aldehydes and alcohol compounds higher in concentration in woody breast meat than in NB meat (Lebednikaitė et al., 2023); however, this study differed from the proposed study because whole muscle was used, volatile compounds were not confirmed with authentic compounds, and gas chromatography–olfactometry was not conducted. Gardner and Legako (2018) reported that greater concentrations of volatile compounds were produced by ground beef in comparison with intact steaks. This should be similar for poultry meat because grinding increases the surface area, which speeds the rate of volatile flavor compound composition, and is why we chose to use ground product instead of intact meat. Therefore, the objective of the current study was to determine the flavor differences in chicken patties made with SWB and NB meat using gas chromatography–mass spectrometry, gas chromatography–olfactometry, and sensory descriptive analysis.

Materials and Methods

Sample collection

A randomized complete block design with 3 replications was implemented for the current study. Thirty normal and SWBs (300 g to 400 g) were collected from 8-wk-old Ross 708 broilers from a commercial poultry plant on 3 separate occasions (n = 3 replications) at 24 h postmortem. The samples were graded by hand palpation based on the degree of woodiness with NBs being flexible and severely woody breasts being extremely rigid and hard throughout the breast by trained graders (Tijare et al., 2016). Chicken patties (approx. 166 g, 30 patties per treatment per replication) were formed from grinding the 30 chicken breasts that were collected from Ross 708 broilers at 30 h postmortem into one homogeneous mixture of ground meat. The breasts were first ground through a 1.27-cm plate (Triumph, Model #103306) followed by a second grind through a 0.48-cm bone extracting plate (Triumph, Model #103060), using a Biro auto feed mixer grinder (Model AFMG, Biro, Marblehead, OH, USA). After grinding, each treatment was emptied into a 136-kg hopper capacity Formax (Model # F-6, Formax, Mokena, IL, USA) to make 166-g patties with 1.27-cm thickness. Patties (n = 30 per treatment) from each replication of both severely wooden and NBs were frozen in their raw form to −62.2°C in a CO2 cabinet (Model CES-BF-CO2-15x15x21-E, CES Group, Cincinnati, OH, USA). Chicken patties were then stored in a walk-in freezer at −23°C until analysis within 2 mos.

Chemicals

The chemical standards of hexanal, nonanal, and 1-octanol (Sigma-Aldrich Chemical Co., St. Louis, MO, USA) were obtained to verify and quantify gas chromatographic results. An internal standard (chlorobenzene, Supelco, Bellefonte, PA, USA) and an n-alkane mixture of C8-C20 (Sigma-Aldrich Chemical Co., St. Louis, MO, USA) were used to calculate the linear retention indices of the volatile compounds to validate compounds that were tentatively identified by the gas chromatograph–mass spectrometer. A 5% sodium chloride (Sigma-Aldrich Chemical Co., St. Louis, MO, USA) solution was made using High Performance Liquid Chromatography (HPLC)water (Fisher Scientific Company LLC, Middletown, VA, USA).

Raw color and pH

The lightness (L*), redness (a*), and yellowness (b*) of the chicken patties were measured in triplicate for 10 patties per treatment per replication based on Jarvis et al. (2020a; 2020b) using a HunterLab® MiniScan EZ spectrophotometer (Model 4500L; Hunter Associates Laboratory Inc., Reston, VA, USA) equipped with D65 illuminant, 10° standard observer angle, a view area of 31.8 mm and calibrated with white and black calibration plates. pH was measured by inserting a temperature-compensated pH probe (Model FlexipHet SS Penetration tip; Cole Palmer, Vernon Hills, IL, USA) attached to an Accumet pH meter (Model Accumet 61; Fisher Scientific, Hampton, NH, USA) after the breast meat was ground and before it was formed into patties. There were 10 pH measurements taken from random locations in the ground meat per treatment for each of the 3 replications. The pH meter was calibrated with standard buffer solutions of pH 4 and 7.

Cooking loss and protein bind

Chicken patty samples (n = 10 per treatment per replication) were analyzed for cooking loss and protein bind (Field et al., 1984; Schilling et al., 2004). The raw samples were weighed before and after cooking to determine cooking loss. These samples were cooked on a tray that was 45 cm × 65 cm × 2.5 cm with 6 patties per tray, at 177°C for 30 min in a convection oven (Model SCVX20E; Hobart, Chattanooga, TN, USA) to an internal temperature of 76°C. Chicken patties were then cooled for 30 min to 20°C prior to measuring protein bind. After cooling, cooked patties were placed one at a time onto a plexiglass stand to hold the sample in place. A steel ball (25.0-mm diameter) was attached to a rod that was secured in a 50-kg load cell with a chuck and used at a crosshead speed of 100 mm/min that was controlled by an Instron Universal Testing Center (Model 3345, Instron, Norwood, MA, USA) to penetrate through the center of each of the 10 chicken patties from each treatment within each replication (Field et al., 1984; Schilling et al., 2004). Protein–protein bind value was reported as the peak force (N) required for the steel ball to penetrate through the chicken patties for each treatment.

Quantitative descriptive analysis

Quantitative descriptive analysis was conducted to evaluate the textural characteristics of the chicken patties, including tenderness, cohesiveness, chewiness, mushiness, initial juiciness, overall juiciness, springiness, and crunchiness, and the potential flavor differences between woody and NB meat samples, including sourness, bitterness, umami, chicken/meaty, cardboardy, metallic, and off-flavors. Chicken patties were placed on an aluminum foil covered tray, covered with aluminum foil, and cooked in a convection oven (Model SCVX20E, Hobart, Chattanooga TN, USA) at 177°C for 22 min to an internal temperature of 76°C. The edges of the chicken patty samples were trimmed, and the remaining sample was cut into twelve 1.27 cm × 1.27-cm cube samples. The panelists (n = 8) were trained for 12 h on the evaluation of texture and flavor attributes of chicken patties on a 0 to 15-cm line scale, in which 0 and 15 are the least and greatest attribute intensity for chicken patty sensory descriptors. Chicken patty texture attributes were based on Civille and Carr (2015), with some slight changes made to accommodate chicken patties. SWBs were used as references for sour, earthy, metallic, and raw notes that have been previously identified and woody breast meat (Jarvis et al. 2020a; Jarvis et al. 2020b). After training, 3 panels were conducted per replication for chicken patty samples. Samples were cooked and prepared as described above, placed into a 28.3-ml plastic cup, labeled with a random 3-digit code, and served to the panelists in a random order that was assigned through Compusense Cloud software (Compusense Cloud, Guelph, Ontario, Canada).

Conditioning of SPME fiber for chromatographic analysis

Fibers were conditioned in the Gas chromatograph (GC) injector port for 30 min at 265°C prior to sampling to desorb contaminants and prevent carryover. An instrument blank (no fiber), a fiber blank (conditioned fiber without volatile extract), and an extraction blank (no sample or standard, only 5% sodium chloride solution) were run to determine the background spectrum. Selected ion chromatograms from these blank spectra were compared to standard and sample spectra for quality control purposes.

Isolation and analysis of volatile compounds

Samples were prepared by adding 5 g of raw chicken patties (6 per treatment per replication) and a 5% NaCl solution in a 2:1 ratio with an internal standard (10 μl, 200 ppm, chlorobenzene, Supelco, Bellefonte, PA, USA) to a 40-mL amber glass vial (O.D. 28 mm × 98 mm H, Supelco, Bellefonte, PA, USA) with an open center propylene screw cap and Teflon faced silicone septum (O.D. 22-mm diameter, Supelco, Bellefonte, PA, USA). A small magnetic octagonal stir bar (8-mm O.D. × 13-mm L, Fisher, Pittsburgh, PA, USA) was also placed in the amber glass vial. Samples were heated on a heating block (Reacti-therm Heating/Stirring Module, Pierce Biotechnology Inc., Rockford, IL, USA) at 80°C for 30 min with constant stirring (Pham et al., 2008). The temperature was verified using a calibrated thermometer inside of a vial in the heating block. A 3-phase Solid phase microextraction (SPME) fiber (2 cm-50/75 um Carboxen/polydimethylsiloxane/divenylbenzene [Car/PDMS/DVB], Supelco, Bellefonte, PA, USA) was inserted into the vial through the septum and was exposed to the generated sample headspace for 1 h at 60°C to absorb the volatile aroma compounds. After the extraction of volatile aroma compounds, the volatiles were thermally desorbed from the SPME fiber into the injector port of the gas chromatograph for 5 min at 250°C in splitless mode (Pham et al., 2008).

Gas chromatography-mass spectrometry

An Agilent 7890A gas chromatography system coupled to an Agilent 5975C Mass Spectrometer (Agilent, Santa Clara, CA, USA) was used to separate and determine volatile compounds desorbed from the SPME fiber. The GC was equipped with a split/splitless injector and an HP-5 capillary column (30 m × 0.25 mm × 0.25 μm) with helium as the carrier gas at a flow rate of 1 mL/min. The SPME fiber was inserted into the injector port at 250°C for 5 min in splitless mode. The oven was initially heated at 40°C for 2 min, ramped up to 150°C at 5 °C/min, held for an additional 5 min, and ramped up again to 250°C at 50°C/min, where it was held for 7 min. The Mass spectrometer (MS) source and quadrupole temperatures were 230°C and 150°C, respectively. Volatiles were monitored in a SCAN mode with a m/z range of 35 to 350. The precision of the method was validated by analyzing 3 samples per d on 3 separate days of the same homogenized chicken breast. The accuracy of the method was validated by spiking 3 blanks and 3 chicken samples with nonanal and hexanal at 2 spiking levels of 200 μg/g and 400 μg/g.

The background ions, mainly m/z 207 and 281 from column bleed, were removed using MassHunter Qualitative Analysis Software (Version B.06.00, Agilent Technologies, Santa Clara, CA, USA), and the identity of the compounds was confirmed with a 90% spectrum match probability in the NIST11 Mass Spectral Database. Extracted ion chromatograms of the most characteristic and abundant ions for volatile compounds were used to calculate peak areas (of the extracted ion chromatograms). The peak areas (of extracted ions) were divided by the peak area of m/z 72 (characteristic ion of the internal standard) to obtain the abundance ratio of the volatile compounds, which were then divided by sample weight to produce the abundance ratio per g (ARG). Hexanal, octanol, and nonanal were expressed in ng/g because authentic standards were used. Calibration curves for these compounds were constructed by adding 100 ng of authentic standards in 2.5% NaCl solution with an internal standard (10 μL at 200 ppm, chlorobenzene, Supelco, Bellefonte, PA, USA to similar vials and proceeding with the same extraction procedure (Pham et al., 2008).

Gas chromatography-olfactometry

For identification of the aroma-impact compounds, Osme-Gas chromatography olfactometry (GCO) analyses were conducted using an Agilent 7890A Gas Chromatograph (Agilent, Santa Clara, CA, USA) equipped with a sniffing port (Model ODP2, Gerstel, Linthicum, MD, USA), a flame ionized detector (FID), and an HP-5 column (Agilent, Santa Clara, CA, USA; 30 m × 0.25 mm × 0.25-μm film thickness) was used to separate volatile compounds under the same conditions described previously for GC-MS. The column extended from the oven and was split by a column flow splitter to the FID and the olfactometer (Model ODP2, Gerstel, Linthicum, MD, USA) that was connected to the sniff port. In addition, the sniff port was purged with humidified air at a flow rate of 30 mL/min. The operating conditions were identical to those used for the GC-MS. Three panelists trained in sensory and GCO analyses described the aroma properties of the volatile compounds present in the samples that were separated by the GC (Rousseff et al., 2001). The assessors were trained in GCO analyses for 10 h by sniffing original samples and volatile flavor compounds extracted by SPME from chicken meat samples. The intensity of the perceived aroma was rated by each panelist using a 0–15 potentiometric sliding scale, in which 0 = none and 15 = maximum intensity (McDaniel et al., 1990). Authentic standards and n-alkane series C5-C18 were separated and quantified by the GC-FID and GC-MS systems under the same operating conditions. Headspace volumes were drawn for the authentic and alkane standards using a gastight digital syringe (1700 Series GASTIGHT Digital Syringe, Hamilton Company, Reno, NV, USA) and immediately introduced into the injector.

Identification of the aroma-impact compounds was based on comparing sample mass spectra with those in the NIST02 Mass Spectral Database (NIST, MD, USA; purchased from Varian Inc.), the linear retention index and aroma quality perceived at the sniffing port with those of authentic standards, and the linear retention index (n-alkanes C5-C18, Sigma-Aldrich Chemical Co., Milwaukee, WI, USA) and the aroma quality perceived at the sniffing port with those in literature and retention index databases (Acree and Arn, 2023; El-Sayed, 2023).

Statistical analysis

A general linear model was used to analyze the variances of pH, raw color, cook loss, protein bind, sensory descriptive analyses, and volatile compound concentration with treatment as a fixed effect. The rep*trt error term was used to account for the random error between replications and variability in subsamples. When differences occurred among treatments (P ≤ 0.05), Fisher’s Protected Least Significant Difference test was used to separate the treatment means.

Results and Discussion

pH

The pH of SWB chicken patties (6.05) was greater (P < 0.0001) than that of NB chicken patties (5.94; Table 1). Similar findings have been reported in woody breast meat compared with meat not affected by myopathy (Aguirre, et al., 2018; Jarvis, et al., 2020a; Jarvis, et al., 2020b). Baldi et al., (2020) showed that the mean pH of raw SWB was greater than that of the NB meat, in addition to less lactate, glucose, and glucose-6-phosphate concentrations at 24 h postmortem. In addition, the glycogen content (15 min postmortem) and glycolytic potential of SWB meat were less than that of the unaffected breast meat (Baldi et al., 2020). Overall, metabolites resulting from glycolysis in SWB meat are less prevalent than those of unaffected meat. High pH in muscle has been associated with chronic inflammatory diseases (Alnahhas et al., 2014; Beauclercq et al., 2022; Qiao, et al., 2001) or oxidative stress (Zhang and Barbut, 2005). Chronic oxidative stress in poultry can negatively impact growth performance and subsequent meat quality and can increase the peroxidation of lipid and protein contents in muscle tissues via reactive oxygen species (Nawar and Zhang, 2021; Basiouni et al., 2023).

Table 1.

pH, cook loss, lightness (L*), redness (a*), yellowness (b*), shear force, and texture of chicken patties that were made from NB and SWB meat and patties made from SWB and NB

Attributes Normal Severe P Value SEM1
pH 5.94b 6.05a < 0.0001 0.006
Cook loss (%) 22.9b 31.4a 0.0037 0.523
L* 72.1 74.4 0.3515 0.193
a* 7.96 6.92 0.0686 0.076
b* 23.7 23.9 0.7452 0.108
Protein bind (N) 42.8a 32.2b < 0.0001 0.527
  • Means within a row lacking a common superscript differ (P < 0.05).

  • SEM: standard error of the mean.

Instrumental color

There were no differences (P ≥ 0.0686) in lightness (Commission Internationale de l’Éclairage (CIE) L*), redness (CIE a*), or yellowness (CIE b*) between SWB and NB patties (Table 1). Brambila et al. (2017) reported no difference in color between normal and woody breast meat. In contrast, other researchers reported that intact wooden breasts were lighter, redder, and yellower than woody breasts (Cai et al., 2018; Mudalal, et al., 2015). Lightness is increased by the greater moisture content in the woody breasts, which is associated with greater reflectance and a lighter meat color (Soglia, et al., 2016). Additionally, an increase in collagen and fat contents in woody breasts may also affect the appearance of the meat (Soglia et al., 2016). It is evident that homogenization of the patties diluted color differences between SWB and NB.

Cooking loss

SWB patties had greater cooking loss (P = 0.0037) than patties formed with NB meat, with SWB patties yielding 9% less than NB patties (31.4% vs. 22.4 %, Table 1). This observation is consistent with findings by other researchers on wooden breast myopathy (Aguirre et al., 2018; Jarvis et al., 2020a; Jarvis et al., 2020b; Mudalal et al., 2015). The woody breast condition has been linked to physical degradation of the muscle fibers which in turn negatively impacts product quality, particularly cooking loss and texture, due to structural differences such as hypertrophy, greater sarcomere length, reduced fiber quantity, and fibrosis when compared with that of NBs (Baldi et al., 2020; Sihvo et al., 2014; Soglia et al., 2016). These symptoms negatively impact the ability of the myopathic muscle to bind and retain water during processing and storage, resulting in greater cooking loss (Pang et al., 2021). Even though a higher pH is typically associated with greater WHC, SWB patties had less WHC, as indicated by the cooking loss results. Previous studies have also observed the same response, which could be elucidated by further examination of the morphological characteristics of SWB patties (Cai et al., 2018; Soglia et al., 2016; Zotte et al., 2014).

Protein bind

The protein bind value of SWB patties was less than that of NB patties (P < 0.0001; Table 1). This finding agrees with previously conducted research, in which greater protein binding was found for patties formed from normal meat than those formed from myopathic meat in either unprocessed or patty forms (Jarvis et al., 2020a; Jarvis et al., 2020b). Li et al. (2022) reported that breasts affected by woody breast myopathy contained fewer sarcoplasmic and salt-soluble myofibrillar proteins than unaffected breast tissue. Additionally, Wold et al. (2019) reported that SWB contains less protein than unaffected breast, which could potentially impair the normal functioning of the myofibrillar proteins in the muscle tissue, which in turn could result in decreased intermolecular binding postmortem and less protein binding than NB patties (Zhang et al., 2020).

Descriptive sensory analysis

Severe woody breast patties were more tender, juicy, and crunchy than NB patties (P < 0.05, Table 2); however, NB patties were more (P < 0.05) cohesive than SWB patties. No difference existed between SWB and NB patties in chewiness (P = 0.1565), mushiness (P = 0.1992), springiness (P = 0.0946), or stickiness (P = 0.7246; Table 2). Regarding the basic tastes, SWB patties had more intense (P < 0.05) bitter and umami notes than NB patties. There was no difference in the sour taste (P = 0.4525) among SWB and NB patties. Regarding the flavor profiles of the 2 samples, SWB patties were more bitter, umami, and metallic, and had more intense off-flavor (P ≤ 0.0221) than NB patties. There was no difference (P = 0.4083) in the chicken/meaty flavor characteristics. The woody breast condition has been associated with a heightened presence of off-flavors, characterized by descriptors such as sour, bitter, tangy, unclean, and earthy (Jarvis et al., 2020a). Severe woody breast meat has been reported as less tender, chewier, and crunchier than NB meat (Aguirre et al., 2018; Nawar and Zhang, 2021; Caldas-Cueva et al., 2021b; Jarvis et al., 2020a; Von Staden et al., 2019; Sun et al., 2022; Zhuang et al., 2018). However, only a few studies specifically discussed the sensory quality of patties that were formulated with woody breast meat (Aguirre et al., 2018; Caldas-Cueva et al., 2021a; Caldas-Cueva et al., 2021b; Jarvis et al., 2020b; Sun et al., 2021; Sun et al., 2022). In these studies, the authors agree that chewiness, cohesiveness, springiness, tenderness, and juiciness are sensory descriptors that describe chicken patties. Out of the 6 studies that investigated the descriptive sensory attributes of patties made from woody breast meat, only one, also from the current research group, comprehensively characterized flavor as was done in the present study (Jarvis et al., 2020b). Therefore, when interpolating from the currently available data, evidence suggests that broiler breast (pectoralis major) patties formed from SWB meat are likely to be more bitter, umami, and metallic, and have more off-flavor notes than NB.

Table 2.

Textural, basic taste, and flavor descriptive sensory results for patties formed from NB and SWB meat

Attribute1 Normal Severe P Value SEM2
Tenderness 7.82b 8.23a <.0001 0.048
Chewiness 3.67 3.53 0.1565 0.058
Cohesiveness 3.93a 3.50b 0.0002 0.059
Mushiness 2.26 2.49 0.1992 0.055
Initial juiciness 7.06b 7.40a 0.0029 0.054
Overall juiciness 6.87b 7.32a 0.0002 0.047
Crunchiness 0.61b 1.21a <.0001 0.052
Springiness 2.97 3.16 0.0946 0.059
Stickiness 3.39 3.26 0.7246 0.060
Sour 2.64 2.39 0.4525 0.047
Bitter 1.72b 2.03a 0.0011 0.047
Umami 4.41b 4.60a 0.0221 0.035
Chickeny/meaty 4.78 4.76 0.4083 0.034
Cardboardy 1.98a 1.69b 0.0047 0.047
Metallic 1.77b 1.94a 0.0019 0.044
Off-flavor 1.68b 2.18a 0.0013 0.059
  • Means within a row lacking a common superscript differ (P < 0.05) for each analysis.

  • Descriptive attributor was evaluated based on a 15-point modified quantitative spectrum scale in which 0 = none and 15 = the most that can be expressed within the product.

  • SEM: standard error of the mean.

Gas chromatography–mass spectrometry

Forty-eight volatile compounds were identified from the chicken patties, including hydrocarbons, alcohols, aldehydes, ketones, phenols, pyridines, furans, esters, and terpenes (Table 3). Aldehydes were the predominant class of compounds in the samples, followed by alcohols and hydrocarbons. For the aldehydes, 23 were detected, all of which differed in relative abundance between SWB and NB patties (P ≤ 0.031) except for pentanal, tridecanal, tetradecanal, and hexadecanal (P ≥ 0.062). Primary lipid oxidation products, such as hexanal, heptanal, 2-heptenal, 2-octenal, nonanal, 2-decenal, (E,E) 2,4-decadienal, and 2-undecenal were greater (P ≤ 0.003) in SWB than in NB. Six alcohol compounds were identified in the cooked patties (Table 3). Pentanol (P < 0.0001), heptanol (P = 0.0001), 1-octen-3-ol (P = 0.0003; mushroom), 2-octen-1-ol (P = 0.0002; blue cheese, sweaty), octanol (P = 0.0003; smoky, rusty, sulfur), and 1-nonanol (P = 0.055; grassy, herb, sweet, woody) were greater in SWB patties than in NB patties. Ten hydrocarbons were identified in SWB and NB patty samples (Table 4). Cyclooctane (P < 0.0001; floral, woody, pine sol), cyclodecane (P = 0.020), 3-ethyl-2-methyl-1,3-hexadiene (P < 0.0001), and 1-tridecene (P = 0.0404) all were greater in SWB patties. Two ketones, 2-heptanone and 3-octen-2-one, were identified in the NB and SWB patty samples. These ketones were more abundant (P ≤ 0.006) in the SWB samples than in the NB patty samples. A single furan, 2-pentyl furan, was identified in the samples and was greater (P = 0.006; floral, citrus) in SWB patties than in NB patties. Two pyridine compounds, 3-methyl pyridine and 2-propyl pyridine, with 2-propyl pyridine exhibiting significantly higher levels in SWB patties compared to NB counterparts, contributed to sensory attributes such as savory, brothy, and fatty notes (P < 0.0001).

Table 3.

Volatile compounds identified from NB and SWB meat by GC-MS1 analysis using a 75 μm DVB/CAR/PDMS SPME fiber2

Compound LRI3 Normal4 Severe4 P Value SEM5
Aldehydes
Pentanal 700 28.9 42.8 0.0624 1.209
Hexanal6 801 185b 261a 0.0014 3.544
Heptanal 901 33.4b 50.1a 0.0014 0.797
2-heptenal 956 11.1b 25.8a <.0001 0.477
Benzaldehyde 959 22.9b 35.6a 0.0378 0.977
Benzeneacetaldehyde 1043 1.79b 3.59a <.0001 0.063
2-octenal, (E)- 1058 15.7b 38.8a <.0001 0.87
Nonanal6 1107 34.8b 59.9a 0.0018 3.848
(Z)-4-decenal 1195 1.07b 2.60a 0.0015 0.073
Decanal 1206 6.35b 12.9a 0.0017 0.322
2,4-nonadienal 1214 2.76b 10.7a 0.0011 0.371
2-decenal 1262 12.02b 37.2a 0.0029 1.307
(Z,Z) 2,4-decadienal 1281 2.47b 4.70a 0.0239 0.157
(E,Z) 2,4-decadienal 1294 1.66b 5.25a 0.0008 0.161
Undecanal 1307 1.46b 3.17a 0.0077 0.101
(E,E) 2,4-decadienal 1317 6.78b 24.8a 0.0002 0.7
Aldehydes
2-undecenal 1365 8.75b 30.5a 0.0022 1.097
Dodecanal 1409 1.73b 3.75a 0.0215 0.14
Benzaldehyde, 4-pentyl- 1461 0.545b 1.70a 0.0013 0.055
Tridecanal 1514 0.927 1.68 0.0765 0.069
Tetradecanal 1615 1.09 2.05 0.0685 0.085
Pentadecanal 1716 0.614b 1.17a 0.0307 0.041
Hexadecanal 1812 0.831 0.78 0.6537 0.019
Alcohols
1-heptanol 970 15.8b 27.1a 0.0001 0.437
1-octen-3-ol 981 141b 224a 0.0003 3.417
2-octen-1-ol 1069 5.55b 11.6a 0.0002 0.239
1-octanol6 1072 123b 244a 0.0003 1.064
1-nonanol 1172 0.934 1.96 0.0553 0.086
Hydrocarbons
n-hexane 600 0.225 0.217 0.8872 0.009
Undecane 1100 3.27 2.62 0.1393 0.071
Cyclooctane 1130 0.370b 0.917a <.0001 0.019
Dodecane 1200 5.68 6.03 0.629 0.119
Hydrocarbons
Cyclodecane 1272 1.31b 2.12a 0.0197 0.055
Tridecane 1299 2.62 3.92 0.0961 0.126
Tetradecane 1400 1.82 2.49 0.0764 0.062
Cyclododecane 1473 0.526 0.905 0.0855 0.036
1,3-hexadiene, 3-ethyl-2-methyl- 1031 12.2b 23.6a <.0001 0.341
1-Tridecene 1585 0.222b 0.452a 0.0404 0.018
Ketones
2-heptanone 890 4.89b 7.90a 0.0011 0.141
3-octen-2-one 1039 0.620b 1.27a 0.0061 0.037
Phenols
Biphenyl 1380 0.236 0.235 0.9745 0.004
4-tert-pentylphenol 1397 0.287 0.289 0.9385 0.006
Pyridines
Pyridine, 3-methyl- 857 4.64 4.17 0.4765 0.108
Pyridine, 2-propyl- 1198 0.836b 2.73a <.0001 0.069
Furans
Furan, 2-pentyl- 992 34.3b 64.5a 0.006 1.716
Esters
2-ethylhexyl acetate 1152 1.88 1.68 0.1242 0.02
Terpenes
D-limonene 1028 6.07 5.37 0.3863 0.133
  • Means within a row for each sample type (breast or patty) lacking a common superscript differ (P < 0.05) for each analysis.

  • GC-MS: gas chromatography–mass spectrometry.

  • DVB/CAR/PDMS SPME fiber: divinylbenzene/Carboxen/polydimethylsiloxane solid-phase microextraction.

  • LRI: linear retention index.

  • An abundance ratio of the base peak ion and the internal standard is used to quantify compounds.

  • SEM: standard error of the mean.

  • A concentration in ng/g of chicken is given instead of an abundance ratio.

Table 4.

Volatile compounds and aromas identified from NB and SWB meat by GC-O1 analysis using a 75 μm DVB/CAR/PDMS SPME fiber2

Compound LRI3 Odor Description Normal Severe P Value SEM4
Aldehydes
Hexanal 800–808 Grassy 4.8 5.2 0.397 0.203
Heptanal 894–902 citrus, earthy, sour 4.6 3.9 0.353 0.36
2-heptenal 954–965 onion, minty, floral 3.1 3.3 0.763 0.31
2-octenal, (E)- 1061–1078 woody, floral 3.0 3.0 1 0.356
Nonanal 1103–1117 earthy, grassy, pine 1.7 3.0 0.053 0.021
(Z)-4-decenal 1191–1202 citrus, woody, pine 3.4 4.0 0.433 0.396
Decanal 1202–1211 floral, citrus, cleaning solution 3.5 3.5 0.77 0.226
2,4-nonadienal 1211–1224 grassy, fatty 4.4 3.5 0.257 0.366
2-decenal 1238–1270 floral, woody, citrus 3.0 3.8 0.188 0.316
(Z,Z) 2,4-decadienal 1276–1286 citrus, woody, nutty, floral 3.8 3.5 0.477 0.219
(E,E) 2,4-decadienal 1314–1334 fried, nutty, woody, fatty 3.5 3.1 0.676 0.422
2-undecenal 1356–1375 fatty, savory, baked goods, sweet 3.2 3.0 0.835 0.387
Dodecanal 1402–1426 nutty, brothy, savory 3.4 3.7 0.624 0.324
Alcohols
1-octen-3-ol 975–985 Mushroom 5.3 5.6 0.621 0.268
2-octen-1-ol 1078–1084 blue cheese, sweaty 3.0 4.7 0.31 0.73
1-octanol 1073–1095 smoky, rusty, sulfur 3.5 3.5 1 0.479
1-nonanol 1169–1185 grassy, herb, sweet, woody 4.1b 5.5a 0.005 0.23
Hydrocarbons
Undecane 1098–1102 woody, baked good 3.9 5.0 0.091 0.295
Cyclooctane 1131–1140 floral, woody, pine sol 3.9b 4.7a 0.012 0.163
Phenols
Biphenyl 1381–1396 leafy, sweet 2.0 4.5 0.119 0.595
Pyridines
Pyridine, 3-methyl- 810–880 savory, brothy, nutty, beans 3.4 3.8 0.299 0.16
Pentyl pyridine 1187–1197 savory, brothy, fat - - - -
Furans
Furan, 2-pentyl- 989–1015 floral, citrus 5.1 4.6 0.434 0.326
Esters
2-ethylhexyl acetate 1155–1172 citrus, earthy, green, onion 4.1 4.9 0.052 0.198
Terpenes
D-limonene 1022–1025 pine, citrus, floral 3.3 2.3 0.497 0.619
  • Means within a row for each sample type (breast or patty) lacking a common superscript differ (P < 0.05) for each analysis.

  • GC-O: gas chromatography–olfactometry.

  • DVB/CAR/PDMS SPME fiber: divinylbenzene/Carboxen/polydimethylsiloxane solid-phase microextraction.

  • LRI: linear retention index.

  • SEM: standard error of the mean.

Lipid oxidation in meats is either caused by thermal oxidation (such as cooking) or autoxidation during storage (Dinh et al., 2021). Although these 2 mechanisms of meat oxidation are similar in process, they differ in their resultant sensory properties that can be attributed to the variable presence and abundance of compounds. These compounds contribute distinct sensory attributes to the patties, including grassy, earthy, and sour notes, which were more intense in SWB than NB patties and substantiated by the descriptive analysis results. Due to the innate conditions of thermal oxidation, a greater abundance of compounds considered desirable meat flavor characteristics is produced compared with autoxidation (Nawar, 1984; Song et al., 2011). Additionally, autoxidation primarily results in the formation of aldehydes from the degradation of hydroperoxides, the most abundant classification of chemicals found in the current study (Esterbauer et al., 1991). The SWB patties contained a greater abundance of compounds that are negatively associated with meat quality. These data indicate that a greater rate of phospholipid oxidation occurs in woody breast meat when compared to that of NB meat (Aguirre et al., 2018; Nawar and Zhang, 2021; Von Staden et al., 2019; Zhuang, et al., 2018). This likely happens for 2 reasons. First, there are 30%–40% more phospholipids and fatty acids in SWB than in NB, even though their percentage of specific fatty acids are similar (Villegas-Cayllahua et al., 2024). Second, mitochondrial oxidation of fatty acids and oxidative stress are increased in SWB in comparison with NB meat (Zhang et al., 2020).

Hexanal, a key indicator of meat lipid oxidation was more prevalent in SWB patties than in normal patties (Domínguez et al., 2019). The identified aldehydes that are produced through oxidation likely contributed to the off-flavors observed in descriptive sensory analysis. For example, the grassy (hexanal, nonanal, 2,4-nonadienal), citrus (heptanal, [Z]-4-decenal, decanal, 2-decenal, [Z,Z]2,4-decadienal), sour (heptanal), earthy (heptanal, nonanal), onion (2-heptenal), and fatty (2,4-nonadienal, [E,E]2,4-decadienal, 2-undecenal) odors from these compounds were also detected in descriptive sensory analysis. Undesirable flavor compounds from SWB patties may also be increased during grinding and patty formation (Sohaib et al., 2017). Hexanol, heptanol, octanol, and nonanol are derived from oleic acid, and butanol and pentanol are derived from linoleic acid (Domínguez et al., 2019; Sohaib et al., 2017). Alcohols can also be formed from the degradation of amino acids through protein oxidation (Sohaib et al., 2017), which may have also occurred more readily in the SWB patties.

Gas chromatography–olfactometry

Twenty-five different aroma-impact compounds (Table 4) were identified. The identities of the aroma compounds were verified by comparing the perceived aromas and retention indices of the aromas with established aroma databases and the GC-MS results. The most intense aroma compounds were hexanal (grassy), 1-octen-3-ol (mushroom), 2-pentyl furan (floral, citrus), 2-ethylhexyl acetate (citrus, earthy, green, onion), and nonanol (grassy, herb, sweet, woody), with aroma scores between 5 and 6 on a 15-cm scale. The compounds 1-nonanol (P = 0.0049; grassy, herb, sweet, woody) and cyclooctane (P = 0.0197; floral, woody, pine sol) had greater intensities in SWB patties than in NB patties.

Both 1-nonanol and cyclooctane are the products of autooxidation, as are many other compounds such as hexanal, 1-octen-3-ol, and 2-pentyl furan. Of these compounds, hexanal, 1-octen-3-ol, 2-pentyl furan, and 1-nonanol are lipid oxidation products, contributing to the earthy, unclean off-flavor in the SWB meat. The grassy (hexanal and 1-nonanol), floral (2-pentyl furan and cyclooctane), woody (1-nonanol and cyclooctane), and mushroom (1-octen-3-ol) aromas from these compounds might also contribute to the tangy, unclean, and earthy off-flavor that was detected in SWB patties in sensory analysis. Severe woody breast meat was described as more bitter and metallic, with more off-flavor during descriptive analysis, which is likely related to 1-octen-3-ol concentration, with a low threshold of 1 ppb and associated with metallic notes in fatty meats (Pham et al., 2008).

The differences in composition between SWB and NB meat were primarily attributed to undesirable volatile flavor compounds produced from the greater rate of phospholipid and protein oxidation in woody breast meat (Li et al., 2022). Increased prevalence of oxidative stress is associated with the wooden breast condition, which has been hypothesized to stem from environmental factors such as heat (Nawar and Zhang, 2021), mitochondrial misfunction, feeding practices (Jia et al., 2024), and genetic predisposition to the myopathy (Zhang et al., 2020).

Conclusions

Chicken patties formulated from woody breast meat were described as crunchier, springier, and juicier than NB meat. Woody breast meat was also described as more bitter and metallic, with a greater off-flavor intensity (tangy, unclean, and earthy). This increased off-flavor intensity in SWB meat can be primarily attributed to lipid autooxidation products, predominantly aldehydes and alcohols. These indicators of greater oxidation and protein degradation in woody breast patties through protein bind and flavor analyses are consistent with previously reported oxidative damages to myofibrillar proteins and membrane lipids by oxidative stress in woody breast meat. These disadvantages of woody breast meat should be accounted for in manufacturing grounds and further processed products.

Acknowledgments

Approved for publication by the Mississippi Agricultural and Forestry Experiment Station under project MIS-326080.

Author Contributions

Thu Dinh contributed to conceptualization, formal analysis, methodology, software, review & editing. Hunter Hessler contributed to investigation, formal analysis, methodology, and writing the initial draft of the manuscript. Xue Zhang contribued to data curation, investigation, and review and editing. Sawyer Wyatt Smith contributed to formal analysis, validation, writing, reviewing, and editing. Virellia To contributed to investigation, formal analysis, revieweing, and editing. Tessa R. Jarvis contributed to concepualization, investigation, reviewing, and editing. Shangshang Wang contributed to data Curation, methodology, resources, software, and validation. Wes Schilling contributed to conceptualization, formal analysis, funding acquisition, project administration, reviewing, and editing.

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