肉鸡
光谱学
核磁共振
核磁共振波谱
鸡胸脯
磁场
材料科学
化学
食品科学
物理
量子力学
作者
Bin Pang,Brian Bowker,Changhu Xue,Yaoguang Chang,Jian Zhang,Lin Gao,Hong Zhuang
出处
期刊:Food Control
[Elsevier]
日期:2022-09-19
卷期号:144: 109386-109386
被引量:3
标识
DOI:10.1016/j.foodcont.2022.109386
摘要
The potential of using simple visible spectroscopy (VIS) and low-field nuclear magnetic resonance (LF-NMR) was evaluated for differentiating three muscle conditions, normal (NORM), pale, soft and exudative (PSE), and woody breast (WB), in broiler pectoralis major. A total of 162 of pectoralis major, 54 for each condition, were collected from a commercial plant. Meat VIS spectra and transverse relaxation curve were collected using a spectrophotometer and LF-NMR, respectively. Principal component analyses (PCA) showed the better separation of PSE from NORM by VIS spectra. LF-NMR distinguished WB from NORM and PSE meat. However, the combination of VIS spectra and NMR relaxation curve differentiated the three conditions. PCA linear discriminant analysis and support vector machine discriminant analysis models further demonstrated that PCA analyses of combined VIS and LF-NMR data can correctly identify the presence of the defects in broiler breast meat.
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