数字农科院2.0

Identification of Xihu Longjing Tea by PLS Model Using Near-Infrared Spectroscopy

文献类型： 外文期刊

作者： Zhou Jian;Cheng Hao;Wang Li-yuan;Wu Di;He Wei

作者机构：

关键词： Near-infrared;Spectrum;Identification;PLS;Xihu longjing tea

期刊名称： SPECTROSCOPY AND SPECTRAL ANALYSIS

ISSN： 1000-0593

年卷期： 2009 年 29 卷 5 期

页码：

收录情况： SCI

摘要： Protection of geographical indication for Xihu longjing tea was necessary and an accurate method of identification of Xihu longjing tea ought to be developed to prevent Xihu longjing tea from being faked and protect the trade mark of Xihu longjing tea. Identification of Xihu longjing tea with near-infrared spectrum was researched and a new method for identification of Xihu longjing tea by a quantitative model was developed. A new variance was first defined for Xihu longjing tea and other flat-shaped tea. And then the near-infrared spectrum without preprocess of tea was analyzed and partial least squares (PLS)was most suitably used to build the model (The number of PLS factors in this model is 9) for quantitative prediction. Compared with the critical numeral value, the result predicted by the PLS model was used to identify true Xihu longjing tea The model was used to predict for 70 known samples which were used to build the quantitative model and 24 unknown samples. The recognition rate of 100% was achieved. So it is proved that the quantitative model by PI-S was reliable and accurate to identify real Xihu longjing tea.

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