Qualitative identification of tea categories by near infrared spectroscopy and support vector machine

Journal of Pharmaceutical and Biomedical Analysis
Jiewen ZhaoC H Fang

Abstract

Near-infrared (NIR) spectroscopy has been successfully utilized for the rapid identification of green, black and Oolong tea. The spectral features of each tea category are reasonably differentiated in the NIR region, and the spectral differences provided enough qualitative spectral information for the identification of tea. Support vector machine (SVM) as the pattern recognition was applied to identify three tea categories in this study. The top five principal components (PCs) were extracted as the input of SVM classifiers by principal component analysis (PCA). The RBF SVM classifiers and the polynomial SVM classifiers were studied comparatively in this experiment. The best experimental results were obtained using the radial basis function (RBF) SVM classifier with sigma=0.5. The accuracies of identification were all more than 90% for three tea categories. Finally, compared with the back propagation artificial neural network (BP-ANN) approach, SVM algorithm showed its excellent generalization for identification results. The overall results show that NIR spectroscopy combined with SVM can be efficiently utilized for rapid and simple identification of the tea categories.

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Citations

Jun 16, 2011·International Journal of Molecular Sciences·Hang ZhaoWei Shi
Aug 17, 2011·International Journal of Molecular Sciences·Yang XuWei Shi
May 29, 2014·Journal of Pharmaceutical and Biomedical Analysis·Shuai QiJiewen Zhao
Apr 5, 2013·Journal of the Science of Food and Agriculture·Changyong LyuDan Chen
Aug 29, 2013·Journal of the Science of Food and Agriculture·Yi ChenJing Li
Mar 31, 2015·International Journal of Biological Macromolecules·Jian-xiong CaiXin-lin Wei
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Oct 18, 2020·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Danyi HuangXiaochang Wang
Dec 19, 2020·Comprehensive Reviews in Food Science and Food Safety·Xiao-Lan YuYong He
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Nov 25, 2011·Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy·Wei HeXinghui Li
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