Inductively coupled plasma mass spectrometry (ICP-MS) and inductively coupled plasma optical emission spectrometer (ICP-OES)-based discrimination for the authentication of tea

文献类型： 外文期刊

第一作者： Liu, Hong-lin

作者： Liu, Hong-lin;Meng, Qing;Tong, Hua-rong;Liu, Hong-lin;Zhao, Xin;Ye, Yu-long

作者机构：

关键词： Tea; Discrimination; Chemometrics; Formula; ICP-MS; ICP-OES

期刊名称：FOOD CONTROL （ 影响因子：5.548； 五年影响因子：5.498 ）

ISSN： 0956-7135

年卷期： 2021 年 123 卷

页码：

收录情况： SCI

摘要： Multielement and stable isotopes analysis combined with chemometrics as a potential tool for first authenticity discrimination of teas. Eighty-four statistically significant elements and stable isotopes from Chongqing tuo tea with 4 formulations were determined using ICP-MS and ICP-OES. Four chemometrics were used to build discrimination models.The discrimination of PLS-DA and LDA were better than that of HCA and PCA. Cd-114, Mo-95, Rb-85, Co, Cs-133 and P were the most important markers for successful authenticity discrimination of teas. Under the validation by cross-validation, test sets and blind data sets, the precisions of prediction of the PLS-DA and LDA were not less than 90%. The LDA performs best, with precisions of prediction of 100%. This study helps to promote the application of fingerprint technology of multi-elements and stable isotopes in combination with chemometric analysis as a very promising tool for a worldwide inspection of the authenticity of teas.

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