Cargando…
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 among Rhodiola species, it is crucial to accurately iden...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618991/ https://www.ncbi.nlm.nih.gov/pubmed/34833946 http://dx.doi.org/10.3390/molecules26226855 |
_version_ | 1784604881674305536 |
---|---|
author | Ma, Didi Wang, Lijun Jin, Yibao Gu, Lifei Yu, Xiean Xie, Xueqing Yin, Guo Wang, Jue Bi, Kaishun Lu, Yi Wang, Tiejie |
author_facet | Ma, Didi Wang, Lijun Jin, Yibao Gu, Lifei Yu, Xiean Xie, Xueqing Yin, Guo Wang, Jue Bi, Kaishun Lu, Yi Wang, Tiejie |
author_sort | Ma, Didi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8618991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86189912021-11-27 Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six Rhodiola Species Ma, Didi Wang, Lijun Jin, Yibao Gu, Lifei Yu, Xiean Xie, Xueqing Yin, Guo Wang, Jue Bi, Kaishun Lu, Yi Wang, Tiejie Molecules Article 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. MDPI 2021-11-13 /pmc/articles/PMC8618991/ /pubmed/34833946 http://dx.doi.org/10.3390/molecules26226855 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ma, Didi Wang, Lijun Jin, Yibao Gu, Lifei Yu, Xiean Xie, Xueqing Yin, Guo Wang, Jue Bi, Kaishun Lu, Yi Wang, Tiejie Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six Rhodiola Species |
title | Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six Rhodiola Species |
title_full | Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six Rhodiola Species |
title_fullStr | Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six Rhodiola Species |
title_full_unstemmed | Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six Rhodiola Species |
title_short | Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six Rhodiola Species |
title_sort | application of uhplc fingerprints combined with chemical pattern recognition analysis in the differentiation of six rhodiola species |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618991/ https://www.ncbi.nlm.nih.gov/pubmed/34833946 http://dx.doi.org/10.3390/molecules26226855 |
work_keys_str_mv | AT madidi applicationofuhplcfingerprintscombinedwithchemicalpatternrecognitionanalysisinthedifferentiationofsixrhodiolaspecies AT wanglijun applicationofuhplcfingerprintscombinedwithchemicalpatternrecognitionanalysisinthedifferentiationofsixrhodiolaspecies AT jinyibao applicationofuhplcfingerprintscombinedwithchemicalpatternrecognitionanalysisinthedifferentiationofsixrhodiolaspecies AT gulifei applicationofuhplcfingerprintscombinedwithchemicalpatternrecognitionanalysisinthedifferentiationofsixrhodiolaspecies AT yuxiean applicationofuhplcfingerprintscombinedwithchemicalpatternrecognitionanalysisinthedifferentiationofsixrhodiolaspecies AT xiexueqing applicationofuhplcfingerprintscombinedwithchemicalpatternrecognitionanalysisinthedifferentiationofsixrhodiolaspecies AT yinguo applicationofuhplcfingerprintscombinedwithchemicalpatternrecognitionanalysisinthedifferentiationofsixrhodiolaspecies AT wangjue applicationofuhplcfingerprintscombinedwithchemicalpatternrecognitionanalysisinthedifferentiationofsixrhodiolaspecies AT bikaishun applicationofuhplcfingerprintscombinedwithchemicalpatternrecognitionanalysisinthedifferentiationofsixrhodiolaspecies AT luyi applicationofuhplcfingerprintscombinedwithchemicalpatternrecognitionanalysisinthedifferentiationofsixrhodiolaspecies AT wangtiejie applicationofuhplcfingerprintscombinedwithchemicalpatternrecognitionanalysisinthedifferentiationofsixrhodiolaspecies |