Multi-element composition and isotopic signatures for the geographical origin discrimination of green tea in China: A case study of Xihu Longjing

文献类型： 外文期刊

第一作者： Ni, Kang

作者： Ni, Kang;Wang, Jie;Zhang, Qunfeng;Yi, Xiaoyun;Ma, Lifeng;Shi, Yuanzhi;Ruan, Jianyun

作者机构：

关键词： Geographical origin discrimination; Data mining; Multi-element contents; Stable isotope ratios; Xihu Longjing tea; Food analysis; Food composition

期刊名称：JOURNAL OF FOOD COMPOSITION AND ANALYSIS （ 影响因子：4.556； 五年影响因子：4.89 ）

ISSN： 0889-1575

年卷期： 2018 年 67 卷

页码：

收录情况： SCI

摘要： Reliable discrimination of the geographical origin of tea, especially very well-known teas, is crucial for market developing and consumer rights' protection. In this study, multi-element contents and stable isotope signatures in the flat-shaped green tea samples collected from different producing areas were assayed. Linear discrimination analysis (WA), partial least squares discrimination analysis (PLS-DA), and a decision tree (DT) were tested for their ability to discriminate the tea's geographical origin. Under the validation by cross-validation and "blind" dataset, the prediction accuracies of the three methods were all greater than 70%. The DT method showed the best performance, with an accuracy of 90%. Furthermore, for the discrimination of Xihu Longjing (XFILJ) green tea, DT also showed the lowest error rate of 1.5% (1 of 67 wrongly classified to XHLJ), which was better than the 6% rate observed for PLS-DA.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序