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

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...

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Autores principales:	Didi Ma, Lijun Wang, Yibao Jin, Lifei Gu, Xiean Yu, Xueqing Xie, Guo Yin, Jue Wang, Kaishun Bi, Yi Lu, Tiejie Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	<i>Rhodiola</i> UHPLC fingerprint chemical pattern recognition quality evaluation Organic chemistry QD241-441
Acceso en línea:	https://doaj.org/article/db0c897f35af468fa4778ab6ad06f6de
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spelling	oai:doaj.org-article:db0c897f35af468fa4778ab6ad06f6de2021-11-25T18:27:50ZApplication of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six <i>Rhodiola</i> Species10.3390/molecules262268551420-3049https://doaj.org/article/db0c897f35af468fa4778ab6ad06f6de2021-11-01T00:00:00Zhttps://www.mdpi.com/1420-3049/26/22/6855https://doaj.org/toc/1420-3049<i>Rhodiola</i>, especially <i>Rhodiola crenulate</i> and <i>Rhodiola rosea</i>, 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 <i>Rhodiola</i> species, it is crucial to accurately identify them. In this study, a simple and efficient method of the classification of <i>Rhodiola crenulate</i>, <i>Rhodiola rosea</i>, and their confusable species (<i>Rhodiola serrata</i>, <i>Rhodiola yunnanensis</i>, <i>Rhodiola kirilowii</i> and <i>Rhodiola fastigiate</i>) 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 <i>Rhodiola</i> 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 <i>Rhodiola</i> species.Didi MaLijun WangYibao JinLifei GuXiean YuXueqing XieGuo YinJue WangKaishun BiYi LuTiejie WangMDPI AGarticle<i>Rhodiola</i>UHPLC fingerprintchemical pattern recognitionquality evaluationOrganic chemistryQD241-441ENMolecules, Vol 26, Iss 6855, p 6855 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	<i>Rhodiola</i> UHPLC fingerprint chemical pattern recognition quality evaluation Organic chemistry QD241-441
spellingShingle	<i>Rhodiola</i> UHPLC fingerprint chemical pattern recognition quality evaluation Organic chemistry QD241-441 Didi Ma Lijun Wang Yibao Jin Lifei Gu Xiean Yu Xueqing Xie Guo Yin Jue Wang Kaishun Bi Yi Lu Tiejie Wang Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six <i>Rhodiola</i> Species
description	<i>Rhodiola</i>, especially <i>Rhodiola crenulate</i> and <i>Rhodiola rosea</i>, 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 <i>Rhodiola</i> species, it is crucial to accurately identify them. In this study, a simple and efficient method of the classification of <i>Rhodiola crenulate</i>, <i>Rhodiola rosea</i>, and their confusable species (<i>Rhodiola serrata</i>, <i>Rhodiola yunnanensis</i>, <i>Rhodiola kirilowii</i> and <i>Rhodiola fastigiate</i>) 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 <i>Rhodiola</i> 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 <i>Rhodiola</i> species.
format	article
author	Didi Ma Lijun Wang Yibao Jin Lifei Gu Xiean Yu Xueqing Xie Guo Yin Jue Wang Kaishun Bi Yi Lu Tiejie Wang
author_facet	Didi Ma Lijun Wang Yibao Jin Lifei Gu Xiean Yu Xueqing Xie Guo Yin Jue Wang Kaishun Bi Yi Lu Tiejie Wang
author_sort	Didi Ma
title	Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six <i>Rhodiola</i> Species
title_short	Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six <i>Rhodiola</i> Species
title_full	Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six <i>Rhodiola</i> Species
title_fullStr	Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six <i>Rhodiola</i> Species
title_full_unstemmed	Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six <i>Rhodiola</i> Species
title_sort	application of uhplc fingerprints combined with chemical pattern recognition analysis in the differentiation of six <i>rhodiola</i> species
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/db0c897f35af468fa4778ab6ad06f6de
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Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six <i>Rhodiola</i> Species

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