基于稳定同位素比值提高中国茶叶的地理可追溯性

Hong-Lin Liu, Yi-Tao Zeng, Kai Zhang, Xin Zhao, Tian-Lai Yang
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摘要

利用稳定同位素比值分析法研究了改进不同地区茶叶样品分类的潜力。结果表明,34 个稳定同位素比值具有统计学意义,四个地区的茶叶具有各自的特征变量。利用 PCA、HCA、PLS-DA、BP-ANN 和 LDA 对茶叶中的稳定同位素比值数据进行了分析。结果表明,六个关键变量在样本间的差异最大。LDA 的总体分类正确率、交叉验证率和盲验证率均为 100%,结果最佳。这项研究证明,稳定同位素比值分析方法可以提高中国茶叶的地理来源可追溯性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Improving the geographical traceability of tea in China based on stable isotope ratios

The potential of improving the classification of tea samples from different regions was studied by using stable isotope ratios analysis. The stable isotope ratios of 44 elements in tea samples were determined (p < 0.05).The results showed that 34 stable isotopes ratios were statistically significant, and tea in the four regions had their own characteristic variables. PCA, HCA, PLS-DA, BP-ANN and LDA were used to analyze the stable isotope ratio data in tea. Six key variables were identified to provide the greatest difference between the samples. The overall correct classification rate, cross validation rate and blind validation rate given by LDA are all 100%, and the result is the best. This study has proved that the stable isotope ratio analysis method could improve the geographical origin traceability of Chinese tea.

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