光谱学与光谱分析, 2011, 31 (4): 937, 网络出版: 2011-05-30  

近红外光谱指纹分析在羊肉产地溯源中的应用

Application of Near Infrared Spectral Fingerprint Technique in Lamb Meat Origin Traceability
作者单位
1 西北农林科技大学食品科学与工程学院, 陕西 杨凌 712100
2 中国农业科学院农产品加工研究所, 农业部农产品加工与质量控制重点开放实验室, 北京 100193
摘要
为寻求低廉、 快速有效地鉴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扫描, 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。 结果表明, 在全光谱范围(950~1 650 nm)内, 经二阶求导(Savitzky-Golay, 9 点)和多元散射校正(MSC)预处理后, 五个地区羊肉的近红外光谱有显著差异。 其中农区和牧区之间的差异最为明显, 两种判别模型的整体正确判别率均为100%; PCA+LDA法对五个地域来源样本的整体正确判别率为91.2%, 优于PLS-DA法的判别效果(76.7%)。 此结果表明近红外光谱结合化学计量学方法可以作为羊肉产地溯源的一种有效技术手段。
Abstract
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.

孙淑敏, 郭波莉, 魏益民, 樊明涛. 近红外光谱指纹分析在羊肉产地溯源中的应用[J]. 光谱学与光谱分析, 2011, 31(4): 937. SUN Shu-min, GUO Bo-li, WEI Yi-min, FAN Ming-tao. Application of Near Infrared Spectral Fingerprint Technique in Lamb Meat Origin Traceability[J]. Spectroscopy and Spectral Analysis, 2011, 31(4): 937.

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