Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six Rhodiola Species

Autor:	Wang Lijun, Lifei Gu, Lu Yi, Didi Ma, Guo Yin, Yibao Jin, Xie-an Yu, Xueqing Xie, Jue Wang, Tiejie Wang, Kaishun Bi
Rok vydání:	2021
Předmět:	Dietary supplement Pharmaceutical Science Epigallocatechin gallate Article Analytical Chemistry chemistry.chemical_compound QD241-441 Rhodiola Drug Discovery chemical pattern recognition Least-Squares Analysis Physical and Theoretical Chemistry Chromatography High Pressure Liquid Principal Component Analysis biology Plant Extracts business.industry Organic Chemistry Salidroside Discriminant Analysis Pattern recognition biology.organism_classification Linear discriminant analysis UHPLC fingerprint quality evaluation Rhodiola rosea Rhodiola kirilowii chemistry Chemistry (miscellaneous) Principal component analysis Molecular Medicine Artificial intelligence business
Zdroj:	Molecules, Vol 26, Iss 6855, p 6855 (2021) Molecules Volume 26 Issue 22
ISSN:	1420-3049
DOI:	10.3390/molecules26226855
Popis:	Rhodiola, especially Rhodiola crenulate and Rhodiola rosea, is an increasingly widely used traditional medicine or dietary supplement in Asian and western countries. Because of the phytochemical diversity and difference of therapeutic efficacy among Rhodiola species, it is crucial to accurately identify them. In this study, a simple and efficient method of the classification of Rhodiola crenulate, Rhodiola rosea, and their confusable species (Rhodiola serrata, Rhodiola yunnanensis, Rhodiola kirilowii and Rhodiola fastigiate) was established by UHPLC fingerprints combined with chemical pattern recognition analysis. The results showed that similarity analysis and principal component analysis (PCA) could not achieve accurate classification among the six Rhodiola species. Linear discriminant analysis (LDA) combined with stepwise feature selection exhibited effective discrimination. Seven characteristic peaks that are responsible for accurate classification were selected, and their distinguishing ability was successfully verified by partial least-squares discriminant analysis (PLS-DA) and orthogonal partial least-squares discriminant analysis (OPLS-DA), respectively. Finally, the components of these seven characteristic peaks were identified as 1-(2-Hydroxy-2-methylbutanoate) β-D-glucopyranose, 4-O-glucosyl-p-coumaric acid, salidroside, epigallocatechin, 1,2,3,4,6-pentagalloyglucose, epigallocatechin gallate, and (+)-isolarisiresinol-4′-O-β-D-glucopyranoside or (+)-isolarisiresinol-4-O-β-D-glucopyranoside, respectively. The results obtained in our study provided useful information for authenticity identification and classification of Rhodiola species.
Databáze:	OpenAIRE
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