近漫反射光谱法无损测定鲜肉中品质成分

B. Cai, Huacai Chen, Yongjun Zhang, Jia-xing Jiang
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引用次数: 1

摘要

采用光学积分球漫反射室和光纤漫反射探头两种采样方法,分别采集了72份新鲜瘦肉样品的近红外光谱。参照国家标准分析方法测定猪肉中脂肪、蛋白质和水分的含量。采用偏最小二乘法(PLS)内部交叉验证建立了猪肉中上述成分的定量分析模型,并通过光谱预处理和光谱区域选择进行了优化。基于积分球漫反射的脂肪、蛋白质和水校正模型的相关系数(R2)分别为90.24%、91.95%和90.15%。模型的RMSECV值分别为0.377%、0.011%和0.323%。对于光纤束漫反射光谱模型,R2分别为83.68%、87.97%和83.27%,RMSECV分别为0.321%、0.0099%和0.277%。通过预测样本集进一步验证了标定模型。对球面漫反射光谱积分模型的预测均方误差(RMSEP)分别为0.254%、0.011%和0.168%,R2分别为96.64%、91.51%和97.45%。对于漫反射光纤探针光谱模型,RMSEP值分别为0.361%、0.012%和0.193%,R2值分别为81.03%、84.48%和91.39%。T检验结果显示,实际值与近红外模型预测值之间无显著差异。虽然光学积分球的预测精度和稳定性略高于光纤漫反射探针,但两种采样方法都能满足猪肉中脂肪、蛋白质和水分的快速无损测定,且后者更适合手持式,方便。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-Destructive Determination of the Quality Components in Fresh Pork Meat Using near Diffuse Reflectance Spectroscopy
Two kinds of sampling methods of optics integrating sphere diffuse reflectance chamber and optical fiber diffuse reflectance probe were employed to collect the near-infrared spectra of 72 fresh lean pork meat samples, respectively. The amount of fat, protein and water in pork meat were determined by the national standard analysis methods as reference. The quantitative analysis models of the above constituents in pork meat were developed by using partial least squares (PLS) regression with internal cross-validation and optimized through spectra pretreatment and spectra region selection. The correlation coefficients (R2) of the calibration models of fat, protein and water based on integrating sphere diffuse reflectance were 90.24%, 91.95% and 90.15%, respectively. And the values of RMSECV of these models were 0.377%, 0.011% and 0.323%, respectively. For the models on optical fiber bundle diffuse reflectance spectra, the values of R2 were 83.68%, 87.97% and 83.27% respectively, the values of RMSECV were 0.321%, 0.0099% and 0.277%, respectively. The calibration models were further validated by the prediction sample sets. The prediction mean square error (RMSEP) of the three constituents were 0.254%, 0.011% and 0.168% for the models established on integrating sphere diffuse reflectance spectra, the value of R2 were 96.64%, 91.51% and 97.45%, respectively. For the models on diffuse reflectance optic fiber probe spectra, the values of RMSEP were 0.361%, 0.012% and 0.193%, respectively, the values of R2 were 81.03%, 84.48% and 91.39%, respectively. T test results showed that there was no significant difference between actual values and the values predicted by the NIR models. Although the optical integrating sphere got a little higher prediction accuracy and stability than the optical fiber diffuse reflectance probe, both sampling methods could meet the rapid non-destructive determination of the amounts fat, protein and water in pork meat, and the latter is more suitable for hand-held and convenient.
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