Classification of geographical origins and prediction of delta C-13 and delta N-15 values of lamb meat by near infrared reflectance spectroscopy

文献类型: 外文期刊

第一作者: Sun, Shumin

作者: Sun, Shumin;Guo, Boli;Wei, Yimin;Sun, Shumin;Fan, Mingtao

作者机构:

关键词: Near infrared reflectance spectroscopy;Geographical origin;delta C-13;delta N-15;Lamb meat

期刊名称:FOOD CHEMISTRY ( 影响因子:7.514; 五年影响因子:7.516 )

ISSN: 0308-8146

年卷期: 2012 年 135 卷 2 期

页码:

收录情况: SCI

摘要: Near infrared spectroscopy (NIRS) combined with chemometric analysis was investigated for its potential to classify the geographical origin and predict delta C-13 and delta N-15 values of lamb meat samples (n = 99) from three pastoral regions and two agricultural regions of China. Principal component analysis (PCA), discriminant partial least squares analysis (D-PLS), linear discriminant analysis (LDA) and partial least squares regression (PLSR) were used for data analysis. D-PLS and LDA correctly classified 100% of the both pastoral and agricultural region samples, and gave a total correct classification of 88.9% and 75% to the five individual region samples, respectively. The best PLSR calibration models for predicting delta C-13 and delta N-15 of lamb meat were obtained with the determination coefficient (R-2) 0.76 and 0.87, respectively. These results show that NIRS combined with chemometrics can be used as a rapid and effective method to discriminate the geographical origin and estimate the delta C-13 and delta N-15 of lamb meat. (C) 2012 Elsevier Ltd. All rights reserved.

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