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Predicting water-holding capacity of intact chicken broiler breast fillets with Vis/NIR spectroscopy

机译:预测含有VIS / NIR光谱的完整鸡肉肉鸡乳房骨圆角的水持续容量

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The ability of using visible and near-infrared (Vis/NIR) spectroscopy to predict water-holding capacity (WHC) of intact chicken broiler breastfillets (pectoralis major) was assessed in this study. Boneless and skinless chicken fillets (214 in total) were procured from a commercial processing plant and spectra were collected on the skin side of fillets in the whole Vis/NIR spectral range (400-2500 nm). Prediction models for three different WHC indicators (Drip loss, DL; Water gain, WG; Expressible fluid, EF) using Vis/NIR spectroscopy were established through partial least square regression (PLSR) combined with mathematical pre-treatments, such as 1st or 2nd order derivative, standard normal variate (SNV) and multiplicative scatter correction (MSC).Predictive ability of models were assessed by correction coefficient of validation (Rv), root mean square error of validation (RMSEV), ratio performance deviation (RPD) and range error ratio (RER). A medium predictive ability was obtained for DL (Rv=0.78; RPD=1.60; RER=6.98), WG (Rv=0.76; RPD=1.54; RER=6.09) and EF (Rv=0.69; RPD=1.38; RER=6.29). Conclusively, results suggest that Vis/NIR spectroscopy is a useful tool for predicting WHC traits of intact broiler breast fillets; however, the predictive ability is moderately influenced by the reference methods selection.
机译:在本研究中评估了使用可见光和近红外(VIR-IMIR)光谱预测完整鸡肉肉鸡母乳母乳粉血浆(Pectoralis Major)的水控容量(WHC)的能力。从商业加工厂采购无骨和无皮鸡内圆角(总共214个),并在整个VIR / NIR光谱范围(400-2500nm)的圆角的皮肤侧收集光谱。通过部分最小二乘回归(PLSR)与数学预处理相结合,建立三种不同WHC指示器(DRIP损耗,DL;水资源增益,WG;可表达流体,EF)的预测模型,例如第1或第2次订单衍生,标准正常变化(SNV)和乘法散射校正(MSC)。通过验证系数(RV)进行评估模型的预测能力,验证的根均方误差(RMSEV),比率性能偏差(RPD)和范围错误比率(RER)。获得培养基预测能力(RV = 0.78; RPD = 1.60; RER = 6.98),WG(RV = 0.76; RPD = 1.54; RER = 6.09)和EF(RV = 0.69; RPD = 1.38; RER = 6.29 )。结果表明,VIS / NIR光谱是一种用于预测完整肉鸡乳房圆角的WHC特征的有用工具;然而,预测能力受到参考方法选择的中度影响。

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