Study on Identification and Traceability of Tea Material Cultivar by Combined Analysis of Multi-Partial Least Squares Models Based on Near Infrared Spectroscopy

文献类型： 外文期刊

第一作者： Zhou Jian

作者： Zhou Jian;Cheng Hao;Zeng Jian-ming;Wang Li-yuan;Wei Kang;He Wei;Wang Wei-feng;Liu Xu

作者机构：

关键词： Tea;material cultivar;Traceability;Near infrared;Partial least squares;Euclidean Distance

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2010 年 30 卷 10 期

页码：

收录情况： SCI

摘要： The present study attempted to achieve the identification and traceability of tea material cultivar through combination of multi-partial least squares models and Euclidean distance, etc. The results indicate that with the samples manufactured with tea fresh leaves of cultivar Longjing 43, Qunti, Yingshuang and Wuniuzao as the analysis objects, 4 models were established in this study so as to identify the tea with material cultivar being tea fresh leaves of cultivar Longjing 43, Qunti, Yingshuang and Wuniuzao separately by PLS. Their accuracy rate of identification of samples in the calibration set were 89.8%, 90.9%, 96.1% and 99.5%, respectively, while those in test set were 87.1%, 84.2%, 96.1% and 97.5%, respectively. After the "first identification" through the combined analysis of the four models for identification of tea material cultivar and the "second identification" adopting the Euclidean distance, the accuracy rate of material cultivar recognition for the tea samples was 90.3% (calibration set) and 83.5% (test set), respectively. This study provided a reference method for the identification of tea manufactured with a specific material cultivar and the material cultivar traceability of the manufactured tea.

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