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

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.

Data fusion of multiple‐information strategy based on Fourier transform near infrared spectroscopy and Fourier‐transform mid infrared for geographical traceability of Wolfiporia cocos combined with chemometrics

“…The result of FT-MIR spectrum was exhibited in Figure 2C,D, the absorption peaks are consistent with previous reports, 39 which the absorption peak intensity of seven regions is different wavenumber and implies that the content and distribution of active components in different regions of W. cocos are significantly different. Compared with FT-NIR spectroscopy, FT-MIR spectroscopy shows more absorption peaks and peak intensities, which may be due to the low probability of nonresonant absorption transition of FT-NIR as molecular vibration.…”

ResNet and MaxEnt modeling for quality assessment of Wolfiporia cocos based on FT-NIR fingerprints

“…The contents of chemical components of medicinal fungi depend partly on the suitable habitat ( Li et al., 2020 ). The complex terrain of Yunnan and a wide variety of climate types due to its special geographical location provide favorable conditions for the growth and development of medicinal fungi ( Yue et al., 2021b ). So far, there are relatively few studies on the growth and distribution of W. cocos .…”