近红外光谱结合SIMCA法溯源羊肉产地的初步研究

产地溯源是食品安全追溯制度的重要组成部分。该文采用近红外光谱结合簇类独立软模式法(SIMCA)建立了羊肉产地溯源模型。结果表明,在11995～3999cm-1波长范围内,光谱经5点平滑(Smooth)与多元散射校正(MSC)预处理,山东济宁市、河北大厂县、内蒙临河市、宁夏银川市4个产地模型的主成分数分别为5、6、5、6时,采用SIMCA模式识别方法可以建立稳健的羊肉产地溯源模型;在1%的显著水平下,4个产地校正集模型对未知样本的识别率分别为95%、100%、100%、100%,拒绝率均为100%;其验证集模型的识别率分别为100%、83%、100%、92%,拒绝率均为100%。该研究表明,近红外光谱技术作为一种羊肉产地的溯源方法切实可行。

Preliminary study on origin traceability of mutton by near infrared reflectance spectroscopy coupled with SIMCA method

Origin traceability is an important part of food safety traceability system.The mutton origin traceability model was developed by near infrared reflectance(NIR)spectroscopy coupled with soft independent modeling of class analogy(SIMCA).The results showed that the model of mutton origin traceability could be established very well when original NIR spectra was preprocessed by five point smooth and Multiplicative Scatter Correction(MSC)in the spectra region between 11995 and 3999 cm -1 and the optimal number of principal component was 5,6,5,6 for the origin traceability model of mutton from Jining city of Shandong Province,Hebei Province,Linhe city of inner mongolia and rinchuan city of Ningxia region,respectively.Under the 1%significant level,the recognition rate of calibration set for four models was 95%,100%,100%and 100%,respectively.The recognition rate of validation set was 100%,83%,100%and 100%,respectively and the rejection rate of four models were all 100%.It indicates that the technique of NIR was a feasible way for tracing the origin of mutton.