近红外光谱指纹分析在羊肉产地溯源中的应用

为寻求低廉、快速有效地签别羊肉产地来源的方法,对来自内蒙古自治区锡林郭勒盟、呼伦贝尔市和阿拉善盟三个牧区,及重庆市和山东省菏泽市两个农区共99份羊肉样品进行近红外光谱扣描,利用主成分分析结合线性判别分析(PCA+LDA),以及偏最小二乘判别分析法(PLS-DA)对光谱数据进行了分析,建立了羊肉产地来源的定性判别模型.结...

Application of near infrared spectral fingerprint technique in lamb meat origin traceability

Near infrared spectra of 99 lamb meat samples from three pasturing areas and two farming areas of China were scanned and analyzed to seek a cheap, rapid and effective method for lamb meat origin traceability. Two chemometric methods including linear discriminant analysis based on principal component analysis (PCA+LDA) and partial least squares discriminant analysis (PLS-DA) were used to develop the discriminate models. It was showed that there were significantly differences among the lamb meat samples from five regions based on NIR spectra after second derivative (Savitzky-Golay, 9 point) and multiplicative scattering correction (MSC) transformation in the whole wavelength. The discrimination of two models was best for classification of pasturing area and farming area, with both correctly classified by 100%. The correct classification rate of samples from five different regions using PCA+LDA model was 91.2%, higher than using PLS-DA model (76.7%). These results demonstrate that near infrared reflectance spectroscopy (NIRS) combined with chemometric analysis can be used as an effective method to classify lamb meat according to its geographical origin.