Introduction
Rising global income and health awareness have fueled increased demand for animal-based protein (Gibson, 2011). Among these, poultry meat has gained particular attention due to its affordability and efficiency in production. With shorter production cycles and lower costs compared to other livestock, poultry provides consumers with accessible, high-quality protein at a relatively low price point (Biesek et al., 2020). Moreover, advancements in genetics, nutrition, and production systems over the past few decades have markedly improved the efficiency of animal agriculture, enabling producers to meet rising global demands for high-quality protein sources such as poultry and pork (Godfray et al., 2010). Within the United States, the Southeastern region, most notably the state of North Carolina, followed by Georgia and Alabama, has long been recognized as a national leader in poultry production (United States Department of Agriculture, 2025). In fact, 6 of the top 10 poultry-producing states, including Georgia, Alabama, North Carolina, Mississippi, Kentucky, and South Carolina, are in this region, underscoring the Southeast’s pivotal role in the national poultry supply chain (Bryant et al., 2022). The success of poultry production in these states has been largely dependent on the availability and incorporation of high-quality feed ingredients, including grains such as wheat, corn, and protein-rich oilseeds like soybeans (Pesti and Choct, 2023). However, escalating competition for these feed resources, driven by increased global demand for food and feed, the expansion of the biofuel industry, and periodic regional crop shortages, has contributed to a steady rise in feed costs (Seppelt et al., 2014). As a result, Southeastern poultry producers frequently rely on the importation of large volumes of feed ingredients from the U.S. Midwest, particularly Iowa and Illinois, which are among the nation’s top producers of soybeans and corn (United States Department of Agriculture ERS, 2025; Toomer et al., 2019). This dependency highlights the challenges of regional feedstock insufficiency and underscores the importance of optimizing feed supply chains to support sustainable animal protein production in high-output regions.
The adoption of alternative poultry diets presents a promising avenue for both researchers and industrialists in recent years (Oliveira, 2018). In recent years, poultry producers have shown a growing interest in adopting alternative dietary strategies, not merely as a cost-cutting measure, but as a comprehensive response to a range of economic, nutritional, and ethical considerations. This shift is largely influenced by the volatility of feed ingredient prices, as well as increasing awareness of the potential health and sustainability benefits associated with nonconventional diets. Alternative feed formulations are often designed to enhance the overall efficiency and sustainability of broiler production systems, thereby supporting both economic viability and the delivery of high-quality poultry products that align with modern consumer expectations. For instance, today’s consumers are placing greater value on poultry that is organic, antibiotic-free, and raised under humane conditions, a trend that has significantly contributed to the growth of the organic poultry market (Oberholtzer et al., 2006). Many are willing to pay premium prices for products they perceive as healthier and more ethically produced. For example, organic pastured chicken, due to its natural diet, has been reported to contain up to 50% more vitamin A and higher concentrations of omega-3 fatty acids when compared to conventionally raised chicken (Karsten et al., 2010; Untea et al., 2022; Oberholtzer et al., 2006). In addition to superior nutrient profiles, previous studies have reported that organic poultry meat is associated with reduced levels of antibiotic residues and pathogenic bacteria, which can lower the potential health risks linked to conventional poultry consumption (Innes et al., 2021; Sapkota et al., 2011). However, it is important to note that all poultry meat, organic and conventional, is subject to stringent regulatory monitoring to ensure it is residue-free before processing. Furthermore, pathogen prevalence may be more strongly influenced by hygienic practices and cross-contamination during processing than by the production system itself. Considering these concerns, many consumers are seeking poultry products derived from cleaner, less processed feed sources, valuing their improved nutritional integrity and taste. This consumer-driven demand is fueling continued expansion in the organic and alternative poultry sectors.
As a cost-effective alternative option, peanut skins can be utilized because of their high-energy content and availability as by-products from the peanut processing industry. High-oleic peanuts are a valuable oilseed crop widely grown in the Southeastern United States. Georgia leads the country by producing about 46% of all U.S. peanuts each year, followed by Florida (13%), Alabama (11%), Texas (9%), South Carolina (8%), and North Carolina (7%) (Hawkins and Dharmasena, 2020). Peanut skins, a plentiful and low-value peanut processing by-product, are presently an underutilized resource with significant potential as a feed additive (Atuahene et al., 1989). These by-products are rich in residual nutrients, including antioxidants, making them a promising, cost-effective energy source for production animals (Toomer, 2020). Compositionally, peanut skins contain high levels of insoluble fiber and a substantial phenolic fraction dominated by procyanidin-type proanthocyanidins, catechin/epicatechin, and stilbenes such as trans-resveratrol (Muñoz-Arrieta et al., 2021). Proximate analyses of unprocessed skins typically report around 20% crude protein, around 23% crude fat, around 11% crude fiber, and around 2-3% ash (equivalent to 5,200 kcal/kg dietary energy), with values varying by cultivar and processing (Toomer et al., 2025). These components help explain the strong antioxidant capacity of peanut skins, and their tannin-rich phenolics can cause astringency (Dean, 2020). Incorporating locally available agricultural products, such as peanut skins, into nearby industries like poultry production presents a promising strategy for enhancing economic outcomes for both peanut growers and poultry farmers. This approach supports circular economic principles and contributes to waste reduction while adding nutritional value to animal diets (Arya et al., 2016). When included in poultry diets, peanut skin has demonstrated several potential benefits. These include improvements in dietary performance and growth metrics, along with positive effects on animal health such as odor suppression in housing facilities (Hill, 2002), reduced transmission of Salmonella in poultry production environments (Redhead et al., 2022), and notable antimicrobial and antioxidant properties (Do Valle Calomeni et al., 2017). At the same time, peanut-derived ingredients carry an inherent risk of aflatoxin contamination; therefore, careful sourcing, dry storage, and routine mycotoxin testing are required to ensure feed safety and to protect bird health and product quality (Rawal et al., 2010). Accordingly, the inclusion of peanut skin must be carefully regulated. Because peanut skins are high in fiber, excessive inclusion can lead to digestive challenges or nutritional imbalances if not properly managed (Abd El-Hack et al., 2017; Redhead et al., 2022). Research has shown that excessive levels can significantly impair total-tract crude protein digestibility (Sobolev and Cole, 2004; Hill, 2002) and negatively impact growth performance in certain animals. For instance, high inclusion rates have been linked to reduced weight gain and diminished average daily growth rates in cattle (Idowu et al., 2023). On the other hand, moderate levels of peanut skin supplementation have been associated with favorable outcomes, such as improved average daily gain in goats when peanut skin comprised up to 30% of the diet (Min et al., 2019), and reduced oxidative stress when a diet of 70% alfalfa, 15% whole peanuts, and 15% peanut skin was fed to goats (Saito et al., 2016). Given these varied effects, it is evident that the nutritional potential of peanut skins depends heavily on their inclusion rate and requires further research. It should be noted that previous feeding trials have demonstrated that the inclusion of peanut skins (4%) in the diets of broilers may serve as an antimicrobial feed additive to alter the cecal microbiota, reducing the prevalence of Salmonella within poultry and hence poultry production environments, which could potentially serve as a natural antimicrobial feed additive for improved food safety of poultry meat and positive public health implications. In parallel to these studies, broiler body weights were reduced as compared to conventional birds (Toomer et al., 2024). Nonetheless, no studies to date have determined the effect of feeding peanut skins as a broiler antimicrobial feed additive on broiler meat quality. Furthermore, poultry meat quality assessment is crucial for ensuring consumer satisfaction, processing efficiency, and food safety. High-quality poultry meat must meet specific standards related to sensory attributes, nutritional value, and microbiological safety (Barbut and Leishman, 2022; Yue et al., 2024). Additionally, meat quality directly impacts processing efficiency, shelf life, and marketability, making its assessment crucial for producers and retailers (Ren et al., 2022). Therefore, the objective of this study was to evaluate the influence of a 5% peanut skin-supplemented corn/soy diet on broiler meat quality compared to a conventional control diet as a potential alternative dietary feed additive.
Materials and Methods
Experimental design and feed information
A controlled experiment was conducted with 90 Ross 708 male broilers, which were randomly assigned at hatch to 2 dietary treatments supplemented with or without 5% ground peanut skins (45 birds/treatment, 3 pen/treatment, 15 birds/pen). Hatchlings were provided with feed and water ad libitum for 6 wk and housed in floor pens lined with pine shaving bedding. Broilers were fed a 3-phase corn/soy mash diet regimen. Diets were isocaloric and isonitrogenous, with the starter providing 3,000 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. Collective pen body weights and feed intake were recorded weekly. At 6 wk of age, 5 birds were sampled from each pen (15 birds/treatment, pen = experiment unit) for processing. All animal experimental procedures conducted during the feeding trials were approved by the Institutional Animal Care and Use Committee (IACUC) of North Carolina State University (IACUC # 24-134-02 and IACUC # 22-402-05).
Meat processing and sampling
Broiler chickens were processed at the Chicken Education Unit of the Prestage Department of Poultry Science at North Carolina State University. Upon arrival, live weights were recorded, and birds were placed on the processing line for low-voltage electrical stunning (∼15 V for 10 s), followed by a neck cut to allow bleeding for approximately 1.5 min. Birds were then scalded at 62.78°C for about 60 s and mechanically defeathered. Evisceration was performed manually, and hot carcass weights along with initial pH values were recorded. Carcasses were submerged in a pre-chiller at 14°C for 30 min, then transferred to a chiller maintained between 0 and 4°C for 90 min. Water temperatures were monitored using a THERMOWORKS thermometer (Model: RT301WA-N). After chilling, carcasses were weighed and transferred to a cutting room at 10°C, where they were cut into breasts, tenders, wings, thighs, and drumsticks. The right breast was used to measure pH at 2 hr postmortem, and individual cut weights were recorded. Carcass parts were then immersed in a 150 ppm peracetic acid solution for 10 seconds and stored in pre-labeled Ziploc bags for traceability. Samples were kept in a walk-in cooler at 4–10°C for 24 hr before further analysis. Overall, carcasses were chilled after 15 min post-slaughter, deboned after 2 hr of chilling, and kept at refrigeration temperature after deboning for 24 hr to take the pH, color, and weight measurements.
Weight measurements
For both treatment groups, individual body weights were recorded upon arrival. After the first processing, chilled carcass weights were also measured for birds in both groups. Whole breast and right breast muscle weights were measured at 24 hr postmortem. All weight measurements were obtained using a calibrated digital scale (Model: Champ Scale BASE With CD-11 Weighing Indicator Terminal, Ohaus Corporation, Parsippany, NJ, USA).
pH measurement and color evaluation
The pH of the breast muscle (n = 15 per treatment) was assessed using a calibrated pH meter (Model HI98263, Hanna Instruments Inc., Woonsocket, RI, USA) equipped with a penetrating probe featuring an integrated temperature sensor (FC2323, stainless steel blade tip, optimized for meat). Measurements were taken at 15 min, 2 hr, and 24 hr postmortem, as well as following 2.5 mo of frozen storage after subsequent thawing. The pH probe was inserted into the thickest point in the cranial region of the fillet for consistent sampling. Color attributes of breast fillets from both peanut skin-supplemented and control treatments (n = 15 per treatment) were evaluated at 24 hr postmortem and after 2.5 mo of frozen storage in thawed samples. Measurements were recorded at 3 anatomical locations (cranial, medial, and caudal) using a handheld Minolta chromameter (CR-400, Konica Minolta Sensing Americas Inc., Ramsey, NJ, USA), configured with SpectraMagic™ NX CM-S100w software. The instrument was standardized with a D65 illuminant, 2° observer angle, and minimal surface reflectance. Calibration was performed using the manufacturer-provided white calibration plate, with Y, x, and y values set at 93.5, 0.3114, and 0.3190, respectively. Color values were expressed according to the Commission Internationale de l'Éclairage (CIE) Lab* system, representing lightness (L*), redness (a*), and yellowness (b*). Each color parameter was measured in triplicate across the 3 regions, and mean values for L*, a*, and b* were subsequently calculated.
Thaw loss and cook loss measurement
Breast fillets (n = 8/treatment) were thawed for approximately 24 hr at 4°C in the refrigerator following removal from frozen storage. After thawing, the samples were taken out of vacuum-sealed packaging and weighed to determine thawing loss, expressed as a percentage of the initial raw weight, using the following formula:
Breast samples were cooked in a preheated oven at 177°C until reaching a final internal temperature of approximately 74°C. The Taylor food thermometer (Taylor Bright LED kitchen thermometer, Model: 5265465KHL) was used to check the internal temperature of the samples. Following thermal processing, the samples were cooled to ambient temperature (22 ± 2°C) and reweighed to determine the cooked weight. Cooking loss was expressed as a percentage and calculated using the following equation:
Blunt Meullenet–Owens razor shear and Warner–Bratzler shear force determination
The texture analysis was conducted on right breast fillets following 2.5 mo of frozen storage. Shear force assessments were performed on both raw and cooked samples using the blunt blade configuration of the blade-meat razor shear (BMORS) method (Bowker and Zhuang, 2019). Samples were cooked as described in the above section. Measurements were done on the cranial portion of the ventral surface of each fillet and were carried out with a TA-XT Plus C texture analyzer (Texture Technologies Corp., South Hamilton, MA, USA) equipped with a 2 kg load cell. To minimize errors due to sample preparations, the tests were conducted on the whole intact fillets placed over a duty platform with an aluminum plate. The blunted razor blade was applied perpendicularly to the muscle fiber orientation. The BMORS test was conducted with a 5-kg load cell, a trigger force of 5 g, and a distance of 20 mm. The pre-test and post-test speeds were set at 1 mm/s and 10 mm/s, respectively, while the probe test speed was maintained at 2 mm/s. Results of BMORS shear readings, including peak shear force (N), total shear energy (N·mm), and the frequency of shear peaks, were recorded. Each treatment underwent 6 shear tests on 6 different samples in both raw and cooked conditions, with each sample comprising 3 consecutive shears within the cranial region. For Warner–Bratzler (W–B) shear force analysis, the cooked samples (6 samples per treatment) were shortened by excising 3 consecutive strips measuring 1.5 cm in width, 1.5 cm in thickness, and 2 cm in length from the cranial region of each breast fillet, oriented parallel to the muscle fibers. Shear testing was performed perpendicular to the fiber direction using a W–B knife with a guillotine mounted on a TA-XT Plus C texture analyzer. Warner–Bratzler shear force measurements were performed with a 5-kg load cell, a trigger force of 20 g, and a distance of 30 mm. The pre-test and post-test speeds were set at 3.3 mm/s and 5 mm/s, respectively, while the probe test speed was maintained at 3.3 mm/s. Shear force readings were reported as the peak force (N) and toughness (N·mm) required to break the samples.
Meat composition analysis
Three replicate samples of right-side breast muscle from each treatment group were thawed overnight at 4°C, then equilibrated for 1 hr at room temperature. The samples were minced and ground using a food processor (Model: FP4200B-RF, Black+Decker, Towson, MD, USA) for subsequent compositional analysis. Near-infrared (NIR) spectra were obtained using the FoodScan™ Meat Analyzer equipped with ISIScan™ Nova software (FoodScan™ 2, FOSS Analytical A/S, Hillerød, Denmark). Ground samples were loaded into the sample cup and analyzed in transmission mode across the 850–1100 nm wavelength range, with each scan lasting approximately 15–20 s. 3 spectra were collected from different regions of each sample to ensure representativeness. Measurements included fat, moisture, protein, collagen, and ash content.
Muscle myopathies
The right breast muscle fillets (n = 15/treatment) were assessed after 2 h post-slaughter for the incidence of woody breast (WB), white striping (WS), and spaghetti meat (SM) myopathies. Breast fillets were assessed using manual palpation for WB and visual inspection for WS and SM. WB and WS were scored on a scale from 0 to 3. A score of 0 indicated normal fillets with full flexibility and either no visible striping or only faint striping in the cranial region. A score of 1 denoted mild myopathy, characterized by firmness localized to the cranial portion and the presence of white striations less than 1 mm in thickness. A score of 2 indicated moderate severity, with reduced flexibility in the midsection and pronounced striping between 1–2 mm. A score of 3 represented severe myopathy, where the fillet was rigid throughout and exhibited striping greater than 2 mm in thickness. SM myopathy was assessed on a separate 0 to 2 scale. A score of 0 indicated normal muscle integrity with no observable fiber separation. A score of 1 denoted moderate SM, evident by visible fiber separation on the surface, while a score of 2 indicated severe SM, characterized by prominent fiber separation extending below the surface.
Scanning electron microscopy and sarcomere length
Frozen right breast muscle samples were thawed for approximately 24 hr at 4°C in the refrigerator following removal from frozen storage and then sectioned into uniform blocks measuring approximately 20 mm × 20 mm × 10 mm (n = 2 per treatment group). The tissues were fixed in a solution of 4% paraformaldehyde and 1% glutaraldehyde (4F1G) prepared in 0.1 M sodium cacodylate buffer at ambient temperature. Following fixation, the samples were rinsed 3 times for 15 min each in 0.1 M sodium cacodylate buffer and then subjected to a graded ethanol series for dehydration. Critical point drying was performed using a Samdri-795 dryer (Tousimis, Rockville, MD, USA). The dried specimens were mounted on aluminum stubs and sputter-coated with a gold/palladium alloy for 2 min using a Cressington sputter coater. Scanning electron microscopy (SEM) images of longitudinal sections of breast muscles were collected using a Hitachi SU3900 variable pressure SEM operated at 10 keV at the Analytical Instrumentation Facility, North Carolina State University, Raleigh, NC, USA. Sarcomere length was quantified by calculating the Euclidean distance between adjacent sarcomere boundaries, using the high-magnification SEM images to identify and reference the parallel striations of each sarcomere. An example of SEM images of the breast meat samples from each group is shown in Figure 1. Sarcomere lengths were determined by measuring the distance between the parallel Z-lines (dark bands) visible in the figure. Sarcomere lengths were measured using ImageJ software for our study and recorded approximately 30 times per sample to enhance measurement reliability. The mean value of the measurements was used as the sarcomere length for that sample to improve the accuracy of the final sarcomere length estimation.
Sensory evaluation-quantitative descriptive analysis
Sensory evaluation was conducted using a paper-based Quantitative descriptive analysis (QDA) approach, in accordance with Institutional Review Board protocol #27894 titled “Meat Quality (Sensory Evaluation) of Broiler and Layer Meat Supplemented with Peanut or Peanut Skin.” Frozen right breast samples were thawed at 4°C for approximately 24 hr and subsequently cooked in a preheated oven at 177°C until the internal temperature reached ∼74°C. Doneness was confirmed using a calibrated Taylor LED kitchen thermometer (Model: 5265465KHL). Cooked fillets were arranged on labeled stainless steel trays and coded with randomized three-digit identifiers to ensure blinding. Each fillet was then portioned into uniform 1.5 cm × 1.5 cm × 1.5 cm cubes and served to panelists on disposable paper plates. At the start of each session, panelists were provided with palate cleansers (apple juice, water, unsalted crackers), evaluation forms, pencils, napkins, forks, and expectoration cups. Prior to tasting each sample, panelists were instructed to cleanse their palate using the provided items. Each sensory session included 7 trained panelists, each with over 30 hr of experience evaluating cooked breast fillets, including a faculty member with over 12 years of meat sensory evaluation experience. During each session, panelists evaluated 2 samples per treatment group, ensuring that samples were sourced from the same anatomical location within the breast muscle to minimize sensory variation. Panelists underwent one month of training across 18 sessions to calibrate their evaluation of textural attributes (juiciness, springiness, tenderness, cohesiveness, gumminess, chewiness), flavor notes (brothy, meaty, rancid, cardboardy, metallic, off-flavor), and basic tastes (sweetness, umami, sourness, saltiness, bitterness). Sensory attribute definitions were adopted from Meilgaard et al. (1999) and Zhang et al. (2020). Each attribute was rated on a 15-point sensory intensity line scale, where 0 indicated a barely perceptible attribute, 3 indicated slight intensity, 7 indicated moderate intensity, 11 indicated high intensity, and 15 indicated extreme intensity. Individual evaluation forms were used for data collection and retrieved at the end of each session.
Lipid oxidation analysis
Lipid oxidation in the samples (n = 3 per treatment) was evaluated using a modified thiobarbituric acid reactive substances (TBARS) assay, adapted from the protocols of Buege (1978) and Luque et al. (2011). A standard curve was generated using 3M 1,1,3,3-tetraethoxypropane, prepared in conjunction with a trichloroacetic acid and thiobarbituric acid (TCA/TBA) reagent mixture. Additionally, a butylated hydroxyanisole (BHA) solution was formulated by dissolving 10 g of BHA in 90% ethanol and adjusting the volume to 100 mL. At predetermined time points (day 0, 14, and 28) during retail display, meat samples were rapidly frozen in liquid nitrogen and pulverized into a fine powder using a high-speed grinder (SP-7412, Secura Inc., Lake Forest, CA, USA). A 5.0 ± 0.1 g aliquot of each powdered sample was mixed with 15 mL of deionized water, vortexed, and subjected to centrifugation at 1850 × g for 10 min. Subsequently, 2 mL of the resulting supernatant was transferred to clean tubes and combined with 4 mL of the TCA/TBA reagent and 100 μL of the BHA solution. After vortexing for 1 min, the tubes were incubated in a 100°C water bath for 15 min to facilitate the reaction, followed by immediate cooling in an ice bath for 10 min. The samples were then centrifuged again under identical conditions. From each sample, 200 μL aliquots were pipetted in duplicate into a 96-well microplate. Absorbance at 531 nm was measured using a multi-mode microplate spectrophotometer (SpectraMax i3x Multi-Mode Microplate Reader, Molecular Devices LLC., San Jose, CA, USA). The concentration of malondialdehyde (MDA), a marker of lipid peroxidation, was quantified based on the standard curve and expressed in mg/kg.
Statistical analysis
A complete random design was employed for this study, with 15 birds assigned per treatment group (5 birds per pen; 3 pens per treatment; pens = experimental units). Individual dependent variables, including live weight, carcass and breast muscle weights, pH, color, cook loss, thaw loss, shear force, meat composition, lipid oxidation, sarcomere length, and myopathy scores, were analyzed using one-way analysis of variance via the PROC GLM procedures in SAS statistical software (SAS version 9.4, SAS Inc., Cary, NC, USA). Treatment means were separated using Duncan’s New Multiple Range test, with statistical significance determined at P < 0.05.
Sensory data were analyzed using the GLIMMIX procedure (Generalized Linear Mixed Models) in SAS (version 9.4, SAS Institute Inc., Cary, NC, USA). The statistical model included the treatment type (PN skin and conventional as fixed effects, while replication and panelist were treated as random effects. The Kenward-Roger method was used to estimate denominator degrees of freedom and adjust standard errors for fixed effects in the mixed model analysis (ddfm = kr). Least-Squares Means (LSMEANS) with Tukey’s adjustment for multiple comparisons (adjust = tukey) were used to determine significant differences between treatment means at a significance level of P < 0.05.
Results and Discussion
Growth performance and yield traits
Broilers fed with PN skin diet exhibited significantly lower body weight compared to the control group (Table 1, 2.21 kg vs 2.49 kg, respectively; P < 0.05), suggesting that peanut skin inclusion may have suppressed growth. The chilled carcass weight, as well as both whole and right breast weights, exhibited a similar trend, showing a reduction in broilers fed a peanut skin–based diet (P < 0.05). The reductions in yield parameters might be attributed to the high tannin content in peanut skin. Tannin is known to interfere with protein digestibility and nutrient absorption when added in high concentrations, particularly from purified sources or tannic acid (Redondo et al., 2014; Garcia et al., 2004). However, low-to-moderate tannin supplementation has shown antioxidant, antimicrobial, and anti-inflammatory effects in poultry, which can support gut health and may help meat quality (Choi and Kim, 2020; Toomer et al., 2024). As a result, the optimal inclusion of peanut skin in broiler diets may serve as a beneficial and sustainable feed additive in poultry production. Although it may lead to a slight reduction in body weight, this trade-off could be justified by the antimicrobial properties of PN skin inclusion (Toomer et al., 2024). Moreover, Hisasaga and Makagon (2024) reported that Ross 708 broilers at the target age of 6 wk exhibited body weights ranging from approximately 2.08 to 4.28 kg. The body weights observed in both treatment groups in the present study fall well within this established range, with no mortalities over the course of the 6 wk feeding trial. However, we acknowledge that being within this range does not necessarily overlook the observed reduction in body weight compared with the control group.
Effect of 5% ground peanut skin (PN skin) diet on broiler body weight, carcass chilled weight, breast meat weight (whole and right) (mean ± standard error)1
| Diet2 | Body weight (kg) | Chilled weight (kg) | Whole breast weight3 (kg) | Right breast weight3 (kg) |
|---|---|---|---|---|
| Control | 2.49a ± 0.04 | 1.87a ± 0.04 | 0.36a ± 0.01 | 0.18a ± 0.007 |
| PN skin | 2.21b ± 0.05 | 1.65b ± 0.04 | 0.29b ± 0.01 | 0.14b ± 0.006 |
| P-value | <0.0001 | 0.0003 | 0.0002 | 0.0007 |
Means with same letter within each column are not different (P > 0.05) using Duncan’s New Multiple Range test.
Ninety Ross 708 male broilers were randomly assigned to 2 diets (control and 5% ground peanut skins; 5 birds per pen; 3 pens per treatment; pens = experimental units). Birds were fed isocaloric, isonitrogenous 3-phase corn/soy mash diets for 6 wk. Body weight and feed intake were recorded weekly. At wk 6, 15 birds/treatment were processed for carcass and breast weight measurements.
Diets: Control = Conventional soybean meal and corn mash diet, PN skin = control diet supplemented with 5% ground peanut skins.
Measurements taken at 24 hr.
Effect of 5% ground peanut skin (PN skin) diet on meat pH quality (mean ± standard error)1
| Diet2 | pH15 min | pH2 hr | pH24 hr | pH2.5 mo | P value |
|---|---|---|---|---|---|
| Control | 6.34a, x ± 0.05 | 5.94a, y ± 0.04 | 5.91a, y ± 0.02 | 5.89a, y ± 0.04 | <0.0001 |
| PN skin | 6.32a, x ± 0.06 | 5.81b, y ± 0.04 | 5.88a, y ± 0.03 | 5.75b, y ± 0.05 | <0.0001 |
| P-value | 0.82 | 0.002 | 0.39 | 0.036 |
Means with same letter within each column are not different (P > 0.05) using Duncan’s New Multiple Range test.
Means with same letter within each row (across time points) are not different (P > 0.05) using Duncan’s New Multiple Range test.
Breast muscle pH (n = 15/treatment) measured at 15 min, 2 hr, 24 hr postmortem, and after 2.5 mo frozen storage (post-thaw), using a calibrated penetrating probe with temperature sensor.
Isocaloric, isonitrogenous diets: Control = Conventional soybean meal and corn mash diet, PN skin = control diet supplemented with 5% ground peanut skins.
pH
Following slaughter, the accumulation of lactic acid in muscle tissue leads to a decline in pH for both diet groups. No difference in meat pH was observed at 15 min postmortem (Table 2, P > 0.05), but by 2 hr, the PN skin group had a lower pH than the control, indicating a slightly faster pH decline (5.81 vs 5.94, respectively; P < 0.05). However, by 24 hr postmortem, the pH values of the conventional and peanut skin diet groups were no longer distinct (P > 0.05) despite earlier differences observed at 2 hr. This observation can be attributable to the rapid postmortem conversion of muscle glycogen to lactic acid, which leads to a rapid decline in pH (Yue et al., 2024; Mir et al., 2017). Within 24 hr, this process reaches completion, and the muscle enters rigor mortis, resulting in a stable pH that is largely independent of upstream dietary influences (Liu et al., 2022). Notably, by 2.5 mo of frozen storage, PN skin samples had a lower pH compared to controls (5.75 vs 5.89, respectively; P < 0.05). Nevertheless, the pH values were inside the optimal range for both groups. The ultimate pH of broiler breast meat typically falls within the optimal range of 5.7 to 6.1 (Beauclercq et al., 2022; Bihan-Duval et al., 2018), with values below 5.7 indicative of acid meat and those exceeding 6.1 associated with dark, firm, and dry characteristics (Fletcher et al., 2000). Additional statistical analysis across time points within each diet (Table 2) indicated that the pH decline occurred mainly between 15 min and 2 hr (P < 0.05), with no change thereafter (P > 0.05). This result suggests that most of the postmortem acidification occurred within the first 2 hr after slaughter. Meat pH is also a major determinant of water-holding capacity (WHC), which influences meat juiciness, drip loss, and yield during storage and cooking (Huff-Lonergan and Lonergan, 2005). Rapid pH decline may lead to protein denaturation and decreased WHC (Huff-Lonergan and Lonergan, 2005). In contrast, meat reaching ultimate pH within the normal range, as observed here, tends to maintain acceptable WHC (Qiao et al., 2001). Although the PN skin group exhibited a lower pH at 2 hr and after frozen storage, the values remained within the optimal range of 5.7 to 6.1 (Beauclercq et al., 2022; Bihan-Duval et al., 2018), suggesting that WHC was not adversely affected.
Color
At both 24 hr postmortem and after 2.5 mo of storage, no changes were observed in any of the CIE color parameters (L*, a*, b*) between the PN skin and control groups (Table 3, P > 0.05). This indicates that inclusion of 5% PN skin in the broiler diet did not affect meat appearance, a key quality trait for consumer acceptance. Lightness (L*) values, which reflect the brightness or pale appearance of meat, were similar between the control and PN skin groups at 24 hr (62.55 vs 62.75, respectively; P > 0.05). After 2.5 mo of storage, both groups exhibited a decline in L* values (58.55 vs 59.69, respectively; P > 0.05) likely due to pigment oxidation and moisture loss over time, a common phenomenon in stored meat (Ciobanu et al., 2016; Petracci and Fletcher, 2002). However, the L* values remained consistent, indicating no adverse impact of PN skin on color lightness. Redness (a*), which is critical for consumer perception of freshness, remained negative or close to zero for both groups at 24 hr, suggesting low myoglobin oxidation. After 2.5 mo, a* values were not different between the control and the PN skin group (−0.04 vs 0.4, respectively; P > 0.05).
Effect of 5% ground peanut skin (PN skin) diet on right breast meat color (mean ± standard error) at 24 hr and after 2.5 mo1
| Diet2 | L*24 hr | a*24 hr | b*24 hr | L*2.5 mo | a*2.5 mo | b*2.5 mo |
|---|---|---|---|---|---|---|
| Control | 62.55a ± 0.49 | −0.21a ± 0.13 | 7.25a ± 0.42 | 58.55a ± 0.54 | −0.04a ± 0.17 | 8.93a ± 0.39 |
| PN skin | 62.75a ± 0.51 | −0.13a ± 0.22 | 7.64a ± 0.39 | 59.69a ± 0.47 | 0.4a ± 0.28 | 8.99a ± 0.52 |
| P-value | 0.75 | 0.69 | 0.39 | 0.0506 | 0.06 | 0.90 |
Means with same letter within each column are not different (P > 0.05) using Duncan’s New Multiple Range test.
Color (L*, a*, b*) measured at cranial, medial, and caudal regions of breast fillets (n = 15/treatment) at 24 hr postmortem and after 2.5 mo frozen storage using CR-400, Konica Minolta chromameter.
Isocaloric, isonitrogenous diets: Control = Conventional soybean meal and corn mash diet, PN skin = control diet supplemented with 5% ground peanut skins.
Over the storage period, yellowness (b*) values did not change between the control group and PN skin group (7.25 vs 7.64, respectively, at 24 hr, 8.93 vs 8.99, respectively, after 2.5 mo, P > 0.05). Nevertheless, the steady b* values suggest no negative effect from dietary PN skin inclusion. Overall, our results indicate that dietary supplementation with peanut skin did not adversely affect instrumental meat color or appearance under the conditions tested.
Proximate analysis: Near-infrared reflectance
As shown in Table 4, no notable changes were found in fat, moisture, protein, collagen, or ash content between treatments (P > 0.05). These results confirmed that the inclusion of 5% PN skin does not alter the fundamental chemical composition of broiler breast muscle. Fat content remained consistent between the control group and the PN skin group (2.26 vs 2.27, respectively; P > 0.05). Likewise, moisture content showed negligible variation for the PN skin group and the control group (75.44 vs 75.65, respectively; P > 0.05). Protein levels were identical between the groups, indicating that dietary peanut skin did not alter protein deposition in muscle tissues. Collagen content, a key factor affecting meat tenderness, was also unaffected, showing uniform values for the PN skin and control groups, respectively. Similarly, ash content, reflecting the mineral composition of the meat, remained stable across treatments. These finding aligns with previous literature using different phenolic compounds as well as peanut skin powder supplemented diet (1.0 g, 2.0 g, and 3.0 g PS /kg basal diet) for broilers, which similarly reported no negative impact on carcass composition, meat moisture, protein, or fat content (Starčević et al., 2015; Abd El-Hack et al., 2017). Additionally, the unaltered protein and fat levels observed in the present study align with previous findings using polyphenol-rich feed additives for different animals. For instance, Alfaia et al. (2022) found that monogastric animals′ supplemented with grape pomace exhibited no change in the crude protein or fat content of meat. Similarly, Kara et al. (2016) reported that Japanese quail fed up to 2.5 g/kg green tea catechins showed no adverse effects on live weight or proximate meat composition, despite improvements in water-holding capacity and antioxidant markers. Overall, our meat composition analysis indicates that 5% PN skin supplementation did not alter proximate composition.
Effect of 5% ground peanut skin (PN skin) diet on meat composition (mean ± standard error)1
| Diet2 | Fat | Moisture | Protein | Collagen | Ash |
|---|---|---|---|---|---|
| Control | 2.26a ± 0.28 | 75.65a ± 0.12 | 21.13a ± 0.29 | 0.65a ± 0.01 | 1.66a ± 0.01 |
| PN skin | 2.27a ± 0.47 | 75.44a ± 0.30 | 21.13a ± 0.32 | 0.65a ± 0.02 | 1.66a ± 0.01 |
| P-value | 0.96 | 0.25 | 0.98 | 0.81 | 0.66 |
Means with same letter within each column are not different (P > 0.05) using Duncan’s New Multiple Range test.
Breast samples (n = 3/treatment) were thawed, minced (FP4200B-RF, Black+Decker, MD), and analyzed via NIR spectroscopy (FoodScan™); 3 spectra were collected per sample.
Isocaloric, isonitrogenous diets: Control = Conventional soybean meal and corn mash diet, PN skin = control diet supplemented with 5% ground peanut skins.
Texture analysis
The effect of 5% ground PN skin inclusion on broiler breast meat texture was evaluated using the Blunt Meullenet–Owens Razor Shear (BMORS) method for both raw and cooked samples (Table 5), as well as the W–B method for cooked meat (Table 5). For raw meat (Table 5), peak shear force, shear energy, and the number of peaks did not change between 2 treatments (P > 0.05). However, for cooked meat (Table 5), broilers fed PN skin diet showed a greater peak force (23.58 N vs 13.15 N, respectively; P < 0.05) and shear energy (216.98 N·mm vs 153.39 N·mm, respectively; P < 0.05) than the broilers from the control diet, indicating firmer cooked meat in the PN skin group. Warner–Bratzler shear values (Table 5) also reflected consistent peak shear force between PN skin and control groups (28.10 N vs 25.66 N, respectively; P > 0.05). Many recent studies have reported shear force values for cooked broiler breast meat typically ranging between 10 N and 30 N (Bowker and Zhuang, 2019; Cai et al., 2018; Sun et al., 2022; Zhang et al., 2021; Pang et al., 2024; Sun et al., 2021). This range can vary based on several factors, including cooking temperature and method (Fabre et al., 2018), sample size and preparation (Zhuang and Savage, 2009), instrument setting, and so on. Although the instrumental texture of cooked meat from the PN skin group was firmer in our study, the shear force values are still within the range of cooked chicken meat texture according to the previous works.
Effect of 5% ground peanut skin (PN skin) diet on broiler raw and cooked meat texture using Blunt Meullenet–Owens Razor Shear (BMORS) and on cooked meat texture quality using Warner–Bratzler (mean ± standard error)1
| Sample type | Diet2 | Blunt Meullenet–Owens Razor Shear | ||
|---|---|---|---|---|
| FBMORS (N) | EBMORS (N.mm) | No. of Peaks | ||
| Control | 12.23a ± 1.34 | 103.04a ± 12.55 | 4.50a ± 0.22 | |
| Raw meat | PN skin | 15.15a ± 2.11 | 97.41a ± 10.32 | 4.22a ± 0.99 |
| P value | 0.21 | 0.59 | 0.21 | |
| Cooked meat | Control | 13.15b ± 1.08 | 153.39b ± 10.51 | 7.67a ± 0.84 |
| PN skin | 23.58a ± 2.91 | 216.98a ± 22.82 | 8.94a ± 1.13 | |
| P value | <0.0001 | 0.0005 | 0.65 | |
| Warner–Bratzler | ||||
| FWB (N) | TWB (N.mm) | |||
| Cooked meat | Control | 25.66a ± 3.34 | 294.67a ± 44.18 | |
| PN skin | 28.10a ± 3.32 | 260.48a ± 41.01 | ||
| P value | 0.47 | 0.43 | ||
Means with same letter within each column are not different (P > 0.05) using Duncan’s New Multiple Range test.
FBMORS = Peak shear force values of raw and cooked broiler breast, respectively, using BMORS.
EBMORS = Shear energy values of raw and cooked broiler breast, respectively, using BMORS.
FWB = Peak shear force values of cooked broiler breast using Warner–Bratzler.
TWB = Toughness values of cooked broiler breast using Warner–Bratzler.
Texture analysis was conducted on raw right breast fillets after 2.5 mo frozen storage using the BMORS and Warner–Bratzler shear force method with a TA-XT Plus C analyzer. For BMORS, 6 samples per treatment were tested (3 shears/sample), and peak shear force, total shear energy, and shear peak frequency were recorded. For Warner–Bratzler shear force, 3 1.5 cm × 1.5 cm × 2 cm strips were cut from the cranial region of cooked fillets (n = 6/treatment), aligned with fibers. Testing used a Warner–Bratzler blade on a TA-XT Plus C analyzer, measuring peak force and toughness perpendicular to fibers.
Isocaloric, isonitrogenous diets: Control = Conventional soybean meal and corn mash diet, PN skin = control diet supplemented with 5% ground peanut skins.
Water-holding capacity
The water-holding capacity (WHC) of broiler breast meat, as reflected by both cook loss and thaw loss, was significantly influenced by dietary treatment (Table 6). Broilers fed a diet supplemented with 5% ground PN skin exhibited a notable reduction in both cook loss and thaw loss compared to the control group. Specifically, the average cook loss in the PN skin group was significantly lower than that of the control group (Table 6, 21.73% vs 25.58%, respectively; P < 0.05), indicating improved retention of moisture during thermal processing. Similarly, thaw loss was markedly reduced in the PN skin group compared to the control (Table 6, 12.72% vs 18.74%, respectively; P < 0.05). The observed improvement in WHC among broilers receiving the PN skin diet may be linked to subtle changes in muscle structure, fat distribution, collagen properties, or protein stability, even though the overall meat composition remained largely unchanged. Previously, Abd El-Hack et al. (2017) evaluated dietary supplementation with peanut skin powder (1.0 g, 2.0 g, and 3.0 g PS /kg basal diet) Cobb broiler chickens and found notable improvements in carcass traits and meat quality. Notably, they reported enhanced WHC, alongside lowered abdominal fat and improved sensory appearance. This reduction in moisture loss is consistent with findings in swine studies where dietary phenolics, especially from natural plant sources, enhanced WHC by stabilizing muscle proteins and inhibiting oxidative damage to cellular membranes (Muzolf-Panek et al., 2024). Comparable improvements in meat quality have been observed with other dietary phenolic compounds, for example, supplementation with soybean isoflavones (40 mg/kg) in broiler diets and quercetin (42 ppm) in cattle feed has been shown to enhance water-holding capacity and elevate postmortem muscle pH (Jiang et al., 2007; Valenzuela-Grijalva et al., 2017).
Effect of 5% ground peanut skin (PN skin) diet on cook loss, thaw loss, TBAR values (mg MDA/kg sample), and sarcomere length of broiler right breast meat (mean ± standard error)
| Diet5 | Cook loss1 (%) | Thaw loss2 (%) | MDA3 | Sarcomere length4 (μm) |
|---|---|---|---|---|
| Control | 25.58a ± 0.79 | 18.74a ± 1.71 | 1.23a ± 0.04 | 1.15a ± 0.04 |
| PN skin | 21.73b ± 1.68 | 12.72b ± 0.55 | 1.16a ± 0.003 | 1.17a ± 0.03 |
| P-value | 0.02 | 0.04 | 0.22 | 0.74 |
Means with same letter within each column are not different (P > 0.05) using Duncan’s New Multiple Range test.
Thawed breast fillets (n = 15/treatment) were oven-cooked at 177°C to an internal temperature of around 74 °C (measured with a Taylor thermometer), cooled to ambient temperature (22 ± 2 °C), and reweighed to calculate cook loss.
Breast fillets (n = 15/treatment) were thawed at 4 °C for around 24 hr and weighed to calculate thaw loss.
Lipid oxidation was assessed via a modified TBARS assay (n = 3/treatment).
Sarcomere length was measured around 30 times/sample (n = 2/treatment) from SEM images using ImageJ, calculated as the Euclidean distance between adjacent sarcomere striations; mean values were reported.
Isocaloric, isonitrogenous diets: Control = Conventional soybean meal and corn mash diet, PN skin = Control diet supplemented with 5% ground peanut skins.
Lipid oxidation
The thiobarbituric acid reactive substances (TBARs) assay, which measures malondialdehyde (MDA) as an indicator of lipid peroxidation, showed no difference between treatments (Table 6, P > 0.05). MDA levels were 1.16 mg/kg in the PN skin group and 1.23 mg/kg in the control (P > 0.05). The absence of statistically significant differences may be attributed to the relatively low inclusion level (5%) of peanut skin and the extended 7 mo storage period, during which lipid oxidation processes often reach a plateau (Al-Dalali et al., 2022; Feng et al., 2022).
Sarcomere length: SEM
The sarcomere lengths of both treatment groups did not differ (Table 6, 1.17 μm vs. 1.15 μm, respectively; P > 0.05), which suggests that dietary PN skin supplementation did not alter the integrity of myofibrillar architecture during extended frozen storage. Preservation of sarcomere length during frozen storage reflects minimized postmortem shortening and structural degradation, which are often exacerbated by oxidative processes and proteolysis (Schulte et al., 2019). The antioxidant properties of phenolic compounds may contribute to the stabilization of muscle structure by mitigating oxidative damage. However, no difference has been observed for the inclusion percentage of PN skin considered in our study. The sarcomere length values for both diets are on the shorter end of the typical range reported for frozen broiler breast muscle, which usually falls between 1.6 and 2.0 μm (Wattanachant et al., 2005; Soglia et al., 2020; Sabikun et al., 2019). The comparatively shorter sarcomere lengths may be due to postmortem rigor contraction, cold shortening, or early-onset muscle stiffness, all of which are known to reduce sarcomere length even in uncooked samples (Ertbjerg and Puolanne, 2017). Overall, the lack of differences in sarcomere length between PN skin and control groups indicates that the inclusion of peanut skin in broiler diets does not adversely affect muscle structural integrity during long-term frozen storage, supporting its potential use as a functional feed additive.
Muscle myopathy
No significant differences were detected in WB, WS, or spaghetti meat (SM) scores between treatments (Table 7, P > 0.05). Toomer et al. (2019) evaluated the effects of a high-oleic peanut-enriched diet on the quality and sensory characteristics of broiler chicken meat. Their findings indicated no differences in WS and WB severity between the treatment groups (P > 0.05). This pattern aligns closely with the trends observed in our study regarding both WB and WS incidence. De Castilho Heiss et al. (2025) found that supplementing diets with a commercial polyphenol blend significantly reduced WB severity, though WS incidence remained unaffected. In general, high-energy and high-protein diets promote accelerated muscle hypertrophy, which increases oxidative stress in broilers and also increases the risk of WB, WS, or SM due to rapid growth (Zhang et al., 2011). However, antioxidants such as PN skin mitigate oxidative stress and can potentially reduce the risk of myopathy incidences (Wang et al., 2025). The distribution of macroscopic myopathy scores observed in the current study further supports these trends (Table 8). In the control group, 5 out of 15 fillets (33.3%) showed no evidence of any myopathy (WS0, WB0, SM0), with the remaining fillets primarily exhibiting mild WS or WB scores. Similarly, in the PN skin group, 4 fillets (26.7%) were free of myopathy, and most of the remaining samples exhibited only mild to moderate lesions. Overall, both groups had a relatively low prevalence of severe myopathy, with most fillets falling within the lower end of the scoring scales.
Effect of 5% ground peanut skin (PN skin) diet on broiler myopathy score (mean ± standard error) at 2 hr1
| Diet2 | Woody breast | White stripe | Spaghetti meat |
|---|---|---|---|
| Control | 0.9a ± 0.19 | 0.43a ± 0.13 | 0.13a ± 0.09 |
| PN skin | 0.5a ± 0.15 | 0.33a ± 0.12 | 0.20a ± 0.11 |
| P value | 0.11 | 0.57 | 0.64 |
Means with same letter within each column are not different (P > 0.05) using Duncan’s New Multiple Range test.
Right breast fillets (n = 15/treatment) were evaluated 2 hr post-slaughter for woody breast (WB), white striping (WS), and spaghetti meat (SM) myopathies. WB and WS were scored 0–3 based on palpation and visual assessment (0 = normal, 3 = severe). SM was scored 0-2 based on fiber separation depth.
Isocaloric, isonitrogenous diets: Control = Conventional soybean meal and corn mash diet, PN skin = control diet supplemented with 5% ground peanut skins.
Distribution of myopathy scores, as assessed by macroscopic inspection, in 15 breasts of each treatment1
| Myopathy Scores | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| WB0 | WB1 | WB2 | WB3 | ||||||||||
| Diet2 | SM0 | SM1 | SM2 | SM0 | SM1 | SM2 | SM0 | SM1 | SM2 | SM0 | SM1 | SM2 | |
| Control | WS0 | 5 | 1 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| WS1 | 1 | 1 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | |
| WS2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| WS3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| PN skin | WS0 | 4 | 0 | 0 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| WS1 | 1 | 0 | 0 | 3 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | |
| WS2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| WS3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Macroscopic assessment of breast fillets (n = 15/treatment) was conducted to evaluate the severity of white striping (WS), woody breast (WB), and spaghetti meat (SM) using ordinal scoring systems. WS and WB were scored on a scale from 0 to 3, while SM was scored from 0 to 2, with higher scores indicating increased myopathy severity. Data represent the number of breast fillets (n = 15 per treatment group) exhibiting each specific combination of myopathy scores.
Isocaloric, isonitrogenous diets: Control = Conventional soybean meal and corn mash diet, PN skin = control diet supplemented with 5% ground peanut skins.
Sensory evaluation
Sensory evaluation (Table 9) revealed that most texture-related attributes, including juiciness, tenderness, cohesiveness, gumminess, and chewiness, did not differ significantly between the control and PN skin groups (P > 0.05). However, springiness was lower in the PN skin group compared to the control group (5.34 vs 6.13, respectively; P < 0.05), indicating a reduction in the meat’s elastic rebound capacity. Despite this, all attributes fell within moderate sensory intensity ranges (5-7), indicating general acceptability of meat texture even with the dietary inclusion of peanut skin. Moreover, since cohesiveness and gumminess scores did not change, the overall structural integrity of the meat was likely preserved, allowing it to remain palatable despite lower springiness. Furthermore, sensory flavor assessments (Table 9) showed no variations in brothy, chicken-like, rancid, cardboardy, metallic, or off-flavor attributes, reinforcing that the dietary addition of peanut skin did not impart adverse organoleptic effects. These results are supported by earlier work from Toomer et al. (2019), where broiler diets incorporating high-oleic peanut products did not alter sensory flavor profiles. Similarly, basic taste perceptions (Table 9), including sweetness, umami, sourness, saltiness, and bitterness, remained statistically unchanged (P > 0.05). Overall, these results suggest that while dietary peanut skin inclusion slightly reduced springiness, it did not compromise the broader sensory attributes of the meat, preserving favorable textural and flavor characteristics and supporting its feasibility as a functional feed ingredient. The results in this study also agree with earlier findings that phenolic compounds do not show a significant adverse impact on taste, flavor, or texture when included at moderate dietary levels (Kalogianni et al., 2020). Given that sensory traits were largely unaffected, PN skin inclusion should depend on a clearly demonstrated cost-benefit on a commercial scale.
Effect of 5% ground peanut skin (PN skin) diet on sensory texture, flavor, and basic taste descriptive attributes (mean ± standard error) rated using 15-point sensory intensity scale (0: none detected, 3: slight intensity, 7: moderate intensity, 11: high intensity, 15: extreme intensity)1
| Diet2 | Sensory Texture Descriptive Attributes | ||||||
|---|---|---|---|---|---|---|---|
| Initial juiciness | Overall juiciness | Springiness | Tenderness | Cohesiveness | Gumminess | Chewiness | |
| Control | 7.02a ± 0.23 | 7.25a ± 0.28 | 6.13a ± 0.34 | 7.02a ± 0.22 | 6.61a ± 0.24 | 4.07a ± 0.21 | 5.71a ± 0.25 |
| PN skin | 6.86a ± 0.18 | 7.05a ± 0.25 | 5.34b ± 0.29 | 6.86a ± 0.20 | 6.57a ± 0.30 | 3.96a ± 0.23 | 5.48a ± 0.24 |
| P value | 0.59 | 0.51 | 0.0053 | 0.55 | 0.89 | 0.58 | 0.37 |
| Diet2 | Sensory Flavor Descriptive Attributes | ||||||
| Brothy | Chicken/meaty | Rancid | Cardboardy | Metallic | Off-flavor | ||
| Control | 3.52a ± 0.29 | 5.25a ± 0.22 | 0.07a ± 0.04 | 0.79a ± 0.18 | 0.50a ± 0.13 | 0.30a ± 0.13 | |
| PN skin | 3.52a ± 0.27 | 4.93a ± 0.19 | 0.10a ± 0.05 | 0.68a ± 0.16 | 0.32a ± 0.09 | 0.13a ± 0.07 | |
| P value | 1.0 | 0.22 | 0.59 | 0.46 | 0.21 | 0.22 | |
| Diet2 | Sensory Basic Taste Descriptive Attributes | ||||||
| Sweetness | Umami | Sourness | Saltiness | Bitterness | |||
| Control | 0.43a ± 0.11 | 1.66a ± 0.17 | 0.25a ± 0.06 | 0.80a ± 0.12 | 0.32a ± 0.11 | ||
| PN skin | 0.41a ± 0.10 | 1.54a ± 0.19 | 0.18a ± 0.06 | 0.80a ± 0.10 | 0.26a ± 0.09 | ||
| P value | 0.84 | 0.51 | 0.37 | 1.0 | 0.67 | ||
Means with same letter within each column are not different (P > 0.05), based on Least-Squares Means (LSMEANS) with Tukey's Honestly Significant Difference adjustment for multiple comparisons.
Sensory evaluation was performed using trained panelists (n = 7) following a paper-based QDA method. Uniform fillet cubes (1.5×1.5 cm×1.5 cm) were served blinded on disposable plates. Panelists underwent one month of training and assessed 2 samples per treatment from consistent anatomical locations.
Isocaloric, isonitrogenous diets: Control = Conventional soybean meal and corn mash diet, PN skin = Control diet supplemented with 5% ground peanut skins.
Conclusion
In conclusion, 5% PN skin lowered the live body weight, but it did not adversely affect meat color (evaluated at both 24 hr and 2.5 mo), pH (stable at 15 min and 24 hr, though reduced at 2 hr and 2.5 mo postmortem), textural properties (at 2.5 mo), proximate composition (at 2.5 mo), lipid oxidation (after 7 mo of storage), sarcomere length (after 7 mo), or myopathy incidence of the meat (evaluated at 2 hr). These findings indicate that dietary inclusion of peanut skin at this level does not compromise the overall quality attributes of broiler meat. Consistent with these outcomes, sensory evaluation corroborated instrumental measurements, showing no differences in texture aside from a reduction in springiness, and no dietary effects on flavor or basic taste attributes. Importantly, no rancid, bitter, metallic, or other off-flavor notes were detected at 5% PN skin inclusion. Moreover, a significantly lower cook loss and thaw loss in 5% PN skin treatments indicate greater water-holding capacity. While additional feeding trials are needed, these results suggest that PN skins may serve as a suitable poultry feed additive without negatively impacting meat quality traits. Future work should optimize PS inclusion levels and assess combinations with low-cost co-products to reduce feed cost without compromising performance.
Conflict of Interest
The authors declare no potential conflict of interest.
Acknowledgments
This research was supported by the Food Science & Market Quality and Handling Research Unit, ARS, U.S. Department of Agriculture (Project # 6070-43440-012-00D) and the Prestage Department of Poultry Science, NCSU. The authors acknowledge the USDA ARS and all the collaborators for live bird samples for this research.
Author Contributions
Afsana Rahaman Munmun: writing—original draft, investigation, data curation, formal analysis; Jean C. Caceres: data curation, writing—review and editing; Christina Sigmon: methodology; Yabaiz Tahir: methodology; Thien Vu: methodology; Lin Walker: methodology; Ondulla Toomer: resources, writing—review and editing; and Yan L. Campbell: conceptualization, supervision, resources, funding acquisition, project administration, and writing—review and editing.
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