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ARS Home » Southeast Area » Athens, Georgia » U.S. National Poultry Research Center » Quality and Safety Assessment Research Unit » Research » Publications at this Location » Publication #412128
Research Project: Assessment of Quality Attributes of Poultry Products, Grain, Seed, Nuts, and Feed

Location: Quality and Safety Assessment Research Unit

Title: Combined relaxation spectra for the prediction of meat quality: A case study on broiler breast fillets with the wooden breast condition

Author
item PANG, BIN - Qingdao Agricultural University
item Bowker, Brian
item Yoon, Seung-Chul
item YANG, YI - Beijing Technology And Business University
item ZHANG, JIAN - Beijing Academy Of Agricultural Sciences
item XUE, CHANGHU - Ocean University Of China
item CHANG, YAOGUANG - Ocean University Of China
item SUN, JINGXIN - Qingdao Agricultural University
item Zhuang, Hong

Submitted to: Foods
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 6/7/2024
Publication Date: 6/9/2024
Citation: Pang, B., Bowker, B.C., Yoon, S.C., Yang, Y., Zhang, J., Xue, C., Chang, Y., Sun, J., Zhuang, H. 2024. Combined relaxation spectra for the prediction of meat quality: A case study on broiler breast fillets with the wooden breast condition. Foods. https://doi.org/10.3390/foods13121816.
DOI: https://doi.org/10.3390/foods13121816

Interpretive Summary: The meat industry continually seeks innovative approaches to enhance the accuracy, precision, and efficiency of meat quality assessments. Time-domain nuclear magnetic resonance (TD-NMR) technology has been a stalwart in investigating meat quality for decades. In this study we evaluated the potential of using combined relaxation (CRelax) spectra collected with the TD-NMR technology to predict meat quality. Combined with multivariate analysis, our data demonstrate that CRelax spectra can be used to predict WHC and meat texture traits as well as severity of the wooden breast condition (an emerging myopathy of broiler breast meat). This study provides an alternative spectroscopic technique for evaluation of meat quality.

Technical Abstract: This study evaluated the potential of using combined relaxation (CRelax) spectra within time-domain nuclear magnetic resonance (TD-NMR) measurements to predict meat quality. Broiler fillets affected by different severities of the wooden breast (WB) conditions were used as case-study samples because of broader ranges of meat quality variations. Partial least squares regression (PLSR) models were established to predict water holding capacity (WHC) and meat texture, demonstrating superior CRelax capabilities for predicting meat quality. Additionally, a partial least squares discriminant analysis (PLS-DA) model was developed to predict WB severity based on CRelax spectra. Models exhibited high accuracy in distinguishing normal fillets from those affected by the WB condition and demonstrated competitive performance in classifying WB severity. This research contributes innovative insights into advanced spectroscopic techniques for comprehensive meat quality evaluation, with implications for enhancing precision in meat application.