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Multi-Component Analysis of Ilex Kudingcha C. J. Tseng by a Single Marker Quantification Method and Chemometric Discrimination of HPLC Fingerprints

The quantitative analysis of multiple components with a single marker (QAMS) method was firstly established for simultaneous determination of 18 active components in Ilex kudingcha C. J. Tseng by HPLC. Using rutin, isochlorogenic acid A and kudinoside A as internal refererence substances (IRS), comp...

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Detalles Bibliográficos
Autores principales: Yi, Huan, Zhou, Jie, Shang, Xueying, Zhao, Zhongxiang, Peng, Qian, Zhu, Mingjuan, Zhu, Chenchen, Lin, Chaozhan, Liu, Qide, Liao, Qiongfeng, Zhang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6017665/
https://www.ncbi.nlm.nih.gov/pubmed/29642536
http://dx.doi.org/10.3390/molecules23040854
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author Yi, Huan
Zhou, Jie
Shang, Xueying
Zhao, Zhongxiang
Peng, Qian
Zhu, Mingjuan
Zhu, Chenchen
Lin, Chaozhan
Liu, Qide
Liao, Qiongfeng
Zhang, Lei
author_facet Yi, Huan
Zhou, Jie
Shang, Xueying
Zhao, Zhongxiang
Peng, Qian
Zhu, Mingjuan
Zhu, Chenchen
Lin, Chaozhan
Liu, Qide
Liao, Qiongfeng
Zhang, Lei
author_sort Yi, Huan
collection PubMed
description The quantitative analysis of multiple components with a single marker (QAMS) method was firstly established for simultaneous determination of 18 active components in Ilex kudingcha C. J. Tseng by HPLC. Using rutin, isochlorogenic acid A and kudinoside A as internal refererence substances (IRS), compatibility results showed that the relative correction factors (RCFs) of all compounds showed good reproducibility under different chromatographic conditions. On the basis of previous studies, the accuracy of the QAMS method was systematically evaluated by investigating the influences of curve intercept, analytes and IRS concentration. The results showed that the concentration (especially at low level) of analytes and curve intercept were the major influencing parameters for the LRG-QAMS method (LRG = linear regression), whereas the influence of IRS concentration seemed more apparent in terms of the AVG-QAMS method (AVG = average). The two approaches were complementary with each other. In addition, hierarchical clustering analysis (HCA), principal components analysis (PCA) and similarity analysis (SA) were performed to differentiate and classify the samples based on the contents of 18 marker compounds. The results of the different chemometric analyses were completely consistent with each other, and could be supported by the quantification results.
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spelling pubmed-60176652018-11-13 Multi-Component Analysis of Ilex Kudingcha C. J. Tseng by a Single Marker Quantification Method and Chemometric Discrimination of HPLC Fingerprints Yi, Huan Zhou, Jie Shang, Xueying Zhao, Zhongxiang Peng, Qian Zhu, Mingjuan Zhu, Chenchen Lin, Chaozhan Liu, Qide Liao, Qiongfeng Zhang, Lei Molecules Article The quantitative analysis of multiple components with a single marker (QAMS) method was firstly established for simultaneous determination of 18 active components in Ilex kudingcha C. J. Tseng by HPLC. Using rutin, isochlorogenic acid A and kudinoside A as internal refererence substances (IRS), compatibility results showed that the relative correction factors (RCFs) of all compounds showed good reproducibility under different chromatographic conditions. On the basis of previous studies, the accuracy of the QAMS method was systematically evaluated by investigating the influences of curve intercept, analytes and IRS concentration. The results showed that the concentration (especially at low level) of analytes and curve intercept were the major influencing parameters for the LRG-QAMS method (LRG = linear regression), whereas the influence of IRS concentration seemed more apparent in terms of the AVG-QAMS method (AVG = average). The two approaches were complementary with each other. In addition, hierarchical clustering analysis (HCA), principal components analysis (PCA) and similarity analysis (SA) were performed to differentiate and classify the samples based on the contents of 18 marker compounds. The results of the different chemometric analyses were completely consistent with each other, and could be supported by the quantification results. MDPI 2018-04-09 /pmc/articles/PMC6017665/ /pubmed/29642536 http://dx.doi.org/10.3390/molecules23040854 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yi, Huan
Zhou, Jie
Shang, Xueying
Zhao, Zhongxiang
Peng, Qian
Zhu, Mingjuan
Zhu, Chenchen
Lin, Chaozhan
Liu, Qide
Liao, Qiongfeng
Zhang, Lei
Multi-Component Analysis of Ilex Kudingcha C. J. Tseng by a Single Marker Quantification Method and Chemometric Discrimination of HPLC Fingerprints
title Multi-Component Analysis of Ilex Kudingcha C. J. Tseng by a Single Marker Quantification Method and Chemometric Discrimination of HPLC Fingerprints
title_full Multi-Component Analysis of Ilex Kudingcha C. J. Tseng by a Single Marker Quantification Method and Chemometric Discrimination of HPLC Fingerprints
title_fullStr Multi-Component Analysis of Ilex Kudingcha C. J. Tseng by a Single Marker Quantification Method and Chemometric Discrimination of HPLC Fingerprints
title_full_unstemmed Multi-Component Analysis of Ilex Kudingcha C. J. Tseng by a Single Marker Quantification Method and Chemometric Discrimination of HPLC Fingerprints
title_short Multi-Component Analysis of Ilex Kudingcha C. J. Tseng by a Single Marker Quantification Method and Chemometric Discrimination of HPLC Fingerprints
title_sort multi-component analysis of ilex kudingcha c. j. tseng by a single marker quantification method and chemometric discrimination of hplc fingerprints
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6017665/
https://www.ncbi.nlm.nih.gov/pubmed/29642536
http://dx.doi.org/10.3390/molecules23040854
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