Combining stable C, N, O, H, Sr isotope and multi-element with chemometrics for identifying the geographical origins and farming patterns of Huangjing herb

Autor: Li Zhou, Zhi-Lai Zhan, Hengye Chen, Li-Ping Kang, Haiyan Fu, Lan-Ping Guo, Zhi Liu, Jian Yang, Xiao-Long Yang, Liuna Wei, Qing-Xiu Hao
Rok vydání: 2021
Předmět:
Zdroj: Journal of Food Composition and Analysis
ISSN: 0889-1575
DOI: 10.1016/j.jfca.2021.103972
Popis: Huangjing (Polygonati Rhizoma) is a high-value homology of medicine and food in China, for which the geographical origins (i.e., geoherbalism) and farming patterns (natural or farmed) are decisive in its functions and selling price. In this study, five stable isotope ratios (δ13C,δ15N,δ18O,δ2H, and87Sr/86Sr) and 48 multi-element signatures of 238 Huangjing samples collected from seven main production areas in China were analyzed together for origin traceability and farming authentication purposes. An analysis of variance (ANOVA) for each variable revealed thatδ18O,δ2H,87Sr/86Sr, Fe, andrare earth elementswere significantly different among origins. The orthogonal partial least squares discriminant analysis (OPLS-DA) modeling of all variables indicated that K, Ca, Mg, Fe, and Mn were the most important variables (VIP > 1) for identifying Qingyang Huangjing protected geographical indication (PGI) from those of other origins, and discriminant accuracy reached 100 %. Moreover, ANOVA and OPLS-DA demonstrated thatδ15N, K, Ca, and Mg were the elements that effectively distinguished natural and farmed Huangjing. Therefore, the strategy may be an important alternative tool for authenticity management, which is significant for combating origin mislabeling and the fraudulent conducts of Huangjing products.
Databáze: OpenAIRE
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