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

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.

Differentiation and comparison of Wolfiporia cocos raw materials based on multi-spectral information fusion and chemometric methods.

In order to achieve the target of deeper insight into the differentiation and comparison of Wolfiporia cocos, a total of 350 samples including distinct growth patterns, various collection regions and different medicinal parts were investigated using multi-spectral information fusion based on ultraviolet (UV) and Fourier transform infrared (FT-IR) spectroscopies coupled with chemometrics. From the results, the discrimination of samples was obtained successfully and good classification performances were shown according to partial least squares discriminant analysis (PLS-DA) models. Comparatively, the distinctness of chemical information in the two medicinal parts of W. cocos were much more than that in the same part with different growth patterns and collection areas. Meanwhile, an interesting finding suggested that growth patterns rather than geographical origins could be the dominant factor to effect the chemical properties of the same part samples, especially for the epidermis. Compared with the epidermis samples, there were better quality consistency for the inner part of W. cocos. Totally, this study demonstrated that the developed method proved to be reliable to perform comparative analysis of W. cocos. Moreover, it could provide more comprehensive chemical evidence for the critical supplement of quality assessment on the raw materials of W. cocos.

Application of variable selection in the origin discrimination of Wolfiporia cocos (F.A. Wolf) Ryvarden & Gilb. based on near infrared spectroscopy.

Dried sclerotium of Wolfiporia cocos (F.A. Wolf) Ryvarden & Gilb. is a traditional Chinese medicine. Its chemical components showed difference among geographical origins, which made it difficult to keep therapeutic potency consistent. The identification of the geographical origin of W. cocos is the fundamental prerequisite for its worldwide recognition and acceptance. Four variable selection methods were employed for near infrared spectroscopy (NIR) variable selection and the characteristic variables were screened for the establishment of Fisher function models in further identification of the origin of W. cocos from Yunnan, China. For the obvious differences between poriae cutis (fu-ling-pi in Chinese, or FLP) and the inner part (bai-fu-ling in Chinese, or BFL) of the sclerotia of W. cocos in the pattern space of principal component analysis (PCA), we established discriminant models for FLP and BFL separately. Through variable selection, the models were significant improved and also the models were simplified by using only a small part of the variables. The characteristic variables were screened (13 for BFL and 10 for FLP) to build Fisher discriminant function models and the validation results showed the models were reliable and effective. Additionally, the characteristic variables were interpreted.

[Simultaneous determination of six triterpenoid acids from Guizhi Fuling capsules by UPLC-MS/MS].

To establish a UPLC-MS/MS method for simultaneous determination of six triterpenoid constituents (pachymic acid, dehydropachymic acid, dehydrotumulosic acid, polyporenic acid C, dehydroeburicoic acid and dehydrotra metenolic acid) in Guizhi Fuling capsules (GFC). Chromatographic analysis was conducted on Agilent Porosheell 120 SB-C18 column (4.6 mm×150 mm, 2.7 µm), with 0.1% formic acid aqueous solution-methanol as the mobile phase for gradient elution at a flow rate of 0.4 mL•min-1. The column temperature was 30 ℃ and the sample size was 5 µL. The samples were analyzed by tandem mass spectrometer with negative electrospray ionization (ESI) source, and monitored under a multiple reaction monitoring (MRM) mode, with the quantitative ion pairs m/z 527.8→465.5 (pachymic acid), m/z 525.6→465.6 (dehydropachymic acid), m/z 483.4→337.3 (dehydrotumulosic acid), m/z 481.5→419.5 (polyporenic acid C), m/z 467.4→337.1 (dehydroeburicoic acid), m/z 453.4→337.0 (dehydrotra metenolic acid). Six triterpenoid acids showed good linear relationships within the investigated concentration ranges (r> 0.996 8), with RSDs of precision less than 6.2%, and all RSDs of repeatability less than 5.9%. The average recovery rate was 97.90%, 100.2%, 99.60%, 101.7%, 102.6% and 103.0% respectively. The method was rapid, accurate, repeatable and could be used as a method for quantitative determination of triterpenoid acids in Chinese medicine prescriptions, providing a reference method for the quality control of Guizhi Fuling capsules and providing a reference for the content determination for Chinese medicine prescriptions containing Poria cocos.