Literature DB >> 32918296

Quality control method of sterols in fermented Cordyceps sinensis based on combined fingerprint and quantitative analysis of multicomponents by single marker.

Jiaqian Zhao1, Tiannv Shi1, Weifeng Zhu1, Lihua Chen1, Yongmei Guan1, Chen Jin1.   

Abstract

In this study, we established a new pattern for differentiating and comprehensively evaluating the quality of fermented Cordyceps sinensis based on high-performance liquid chromatography (HPLC) fingerprint analysis combined with similar analysis (SA), principal component analysis (PCA), hierarchical cluster analysis (HCA), and the quantitative analysis of multicomponents by single marker (QAMS). These methods indicated that fermented Cordyceps sinensis samples could be categorized into one class by PCA and HCA. The fingerprints of fermented Cordyceps sinensis were established, and four HPLC peaks were identified as ergosterol, daucosterol, stigmasterol, and β-sitosterol in Jinshuibao capsules and tablets (two products of fermented Cordyceps sinensis). Ergosterol was chosen as the internal reference substance, and the relative correction factors (RCFs) between ergosterol and the other three sterols were calculated using the QAMS method. Moreover, the accuracy of the QAMS method was confirmed by comparing the relative error between the results of the method used with those of an external standard method (ESM). No significant difference between the two methods was observed. The total sterols content in Jinshuibao products were calculated by the QAMS method, and the total sterols content of the two products were similar. This study showed that the method established herein was efficient and successful in the identification fermented Cordyceps sinensis and may further act to facilitate systematic quality control of fermented Cordyceps sinensis products.
© 2020 Institute of Food Technologists®.

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Keywords:  fermented Cordyceps sinensis; fingerprint; high-performance liquid chromatography; quantitative analysis of multicomponents by single marker; sterols

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Year:  2020        PMID: 32918296     DOI: 10.1111/1750-3841.15412

Source DB:  PubMed          Journal:  J Food Sci        ISSN: 0022-1147            Impact factor:   3.167


  1 in total

1.  Quantitative Analysis of Berberidis Cortex via Quantitative Analysis of Multicomponents by Single Marker (QAMS) Combined with Fingerprint and Chemometrics Methods.

Authors:  Yuting Su; Yao Peng; Jie Ren; Shangjie Wu; Si Lei; Fei Peng; Zhina Sun; Xiuqing He; Juan Li; Shunxiang Li
Journal:  J Anal Methods Chem       Date:  2022-08-25       Impact factor: 2.594

  1 in total

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