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食用药用真菌的地理溯源与多元素分析:以拟层孔菌(F.A. Wolf)Ryvarden 和 Gilb.为例。

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

机构信息

College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, 650500, China.

Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China.

出版信息

J Food Sci. 2021 Mar;86(3):770-778. doi: 10.1111/1750-3841.15649. Epub 2021 Feb 15.

Abstract

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.

摘要

不同的地理环境对真菌元素和化学成分的积累有一定的影响。然而,我们的知识有限,无法阐明真菌元素对异质环境的响应以及不同栖息地之间的质量差异。在这里,多元素分析、FTIR 光谱和特征级融合技术结合化学计量学被用于研究来自不同地理区域、不同采样地点和不同海拔来源的香菇。结果表明:(1)不同采样地点样品的元素含量存在显著差异,与地理范围没有正相关关系。(2)海拔与元素之间存在相关性,相对较低的海拔(<1800m)有利于元素的富集。(3)从元素的角度来看,玉溪的香菇质量相对较好。(4)FTIR 和特征级模型可以很好地实现产地识别。SVM 模型优于 PLS-DA 模型,特征级模型优于单个 FTIR 模型。总之,本研究表明,所开发的方法可靠,可以实现香菇的真实性评价和产地识别。研究结果对建立地理溯源技术体系和开发优质香菇地理标志产品具有重要意义。

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