Combining stable isotope, multielement and untargeted metabolomics with chemometrics to discriminate the geographical origins of ginger (Zingiber officinale Roscoe)

文献类型： 外文期刊

第一作者： Yu, Dai-xin

作者： Yu, Dai-xin;Guo, Sheng;Yan, Hui;Wang, Jie-mei;Zhou, Jia-qi;Duan, Jin-ao;Zhang, Xia;Mao, Su-wan;Yang, Jian;Yuan, Yu-wei

作者机构：

关键词： Ginger; Stable isotopes; Multielements; Metabolomic; Chemometrics; Geographical origin

期刊名称：FOOD CHEMISTRY （ 影响因子：8.8； 五年影响因子：8.6 ）

ISSN： 0308-8146

年卷期： 2023 年 426 卷

页码：

收录情况： SCI

摘要： Ginger (Zingiber officinale Roscoe) is a high-value food and herb worldwide. The quality of ginger is often related to its production regions. In this study, stable isotopes, multiple elements, and metabolites were investigated together to realize ginger origin traceability. Chemometrics showed that ginger samples could be preliminarily separated, and 4 isotopes (& delta;13C, & delta;2H, & delta;18O, and & delta;34S), 12 mineral elements (Rb, Mn, V, Na, Sm, K, Ga, Cd, Al, Ti, Mg, and Li), 1 bioelement (%C), and 143 metabolites were the most important variables for discrimination. Furthermore, three algorithms were introduced, and the fused dataset based on VIP features led to the highest accuracies for origin classification, with predictive rates of 98% for K-nearest neighbor and 100% for support vector machine and random forest. The results demonstrated that isotopic, elemental, and metabolic fingerprints were useful indicators for the geographical origins of Chinese ginger.

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