Study on the Identification of Tea Using Near Infrared Reflectance Spectroscopy
ZHAO Jie-wen1, CHEN Quan-sheng1, ZHANG Hai-dong1, 2, LIU Mu-hua1, 3
1. School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China 2. Faculty of Engineering and Technology, Yunnan Agricultural University, Kunming 650201, China 3. Engineering College, Jiangxi Agricultural University, Nanchang 330045, China
Abstract：A rapid tea identification method by near infrared spectroscopy coupled with pattern recognition based on principal components analysis and Mahalanobis’ distance technique was proposed. Four famous brand teas in China were studied, including Longjing tea, Biluochun tea, Maofeng tea and Tieguanyin tea in the experiment. In the spectral region between 6 500 and 5 300 cm-1, through preprocessing method of MSC(multiplicative scatter comection), the prediction model was built. The result showed that the model was the best with 8 principal component factors. The rates of identification in calibration set samples and prediction set samples were 98.75% and 95%, respectively. A new idea about quick and precise identification of tea was offered.
赵杰文1,陈全胜1,张海东1, 2,刘木华1, 3 . 近红外光谱分析技术在茶叶鉴别中的应用研究[J]. 光谱学与光谱分析, 2006, 26(09): 1601-1604.
ZHAO Jie-wen1, CHEN Quan-sheng1, ZHANG Hai-dong1, 2, LIU Mu-hua1, 3 . Study on the Identification of Tea Using Near Infrared Reflectance Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(09): 1601-1604.
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