基于稳定同位素比率提高中国茶叶的地理溯源性
Improving the geographical traceability of tea in China based on stable isotope ratios.
作者信息
Liu Hong-Lin, Zeng Yi-Tao, Zhang Kai, Zhao Xin, Yang Tian-Lai
机构信息
Chongqing University of Education, Chongqing, 400067 China.
College of Food Science, Southwest University, Chongqing, 400715 China.
出版信息
J Food Sci Technol. 2024 Oct;61(10):1943-1954. doi: 10.1007/s13197-024-05970-w. Epub 2024 Mar 21.
UNLABELLED
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 ( < 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.
SUPPLEMENTARY INFORMATION
The online version contains supplementary material available at 10.1007/s13197-024-05970-w.
未标注
采用稳定同位素比率分析法研究了提高不同地区茶叶样本分类的潜力。测定了茶叶样本中44种元素的稳定同位素比率（<0.05）。结果表明，34种稳定同位素比率具有统计学意义，四个地区的茶叶都有各自的特征变量。采用主成分分析（PCA）、聚类分析（HCA）、偏最小二乘判别分析（PLS-DA）、反向传播人工神经网络（BP-ANN）和线性判别分析（LDA）对茶叶中的稳定同位素比率数据进行分析。确定了六个关键变量，这些变量在样本之间提供了最大差异。线性判别分析给出的总体正确分类率、交叉验证率和盲验证率均为100%，结果最佳。本研究证明了稳定同位素比率分析方法可以提高中国茶叶的地理溯源性。
补充信息
在线版本包含可在10.1007/s13197-024-05970-w获取的补充材料。
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