Geographical traceability and multielement analysis of edible and medicinal fungi: Taking Wolfiporia cocos (FA Wolf) Ryvarden and Gilb. as an example

文献类型： 外文期刊

第一作者： Yue, JiaQi

作者： Yue, JiaQi;Huang, HengYu;Yue, JiaQi;Li, ZhiMin;Zuo, ZhiTian;Wang, YuanZhong;Liao, YiJun

作者机构：

关键词： chemometrics; data fusion; geographical traceability; multielement analysis; Wolfiporia cocos

期刊名称：JOURNAL OF FOOD SCIENCE （ 影响因子：3.167； 五年影响因子：3.376 ）

ISSN： 0022-1147

年卷期： 2021 年 86 卷 3 期

页码：

收录情况： SCI

摘要： Different geographical environment has a certain influence on the accumulation of fungi elements and chemical components. However, our knowledge is limited to elucidate the fungi elements in response to heterogeneous environmental and the quality differences among different habitats. Here, multielement analysis, FTIR spectrum, and feature-level fusion technique combined with chemometrics were used to study Wolfiporia cocos from different geographical areas, different sampling sites and different altitude sources. From the results, (1) there is significant difference in element content of samples from different sampling sites and no positive correlation with geographical ranges. (2) There is a correlation between elevation and elements, and relatively low elevation (<1,800 m) is conducive to the enrichment of elements. (3) From the perspective of elements, the W. cocos in Yuxi have relatively better quality. (4) FTIR and feature-level models can well realize origin identification. The SVM models are better than the PLS-DA models, and the feature-level model is better than the single FTIR models. In summary, this study demonstrated that the developed method was reliable and could realize the genuineness evaluation and origin identification of W. cocos. The results have implications for the establishment of the technology system of geographical traceability and the development of high-quality geographical indication products of W. cocos.

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