UPLC Quantitative Analysis of Multi-Components by Single Marker and Quality Evaluation of Polygala tenuifolia Wild. Extracts

The quality control of Polygala tenuifolia Wild. is a major challenge in its clinical application. In this paper, a new strategy for the quality evaluation of P. tenuifolia extracts was verified through reverse-phase ultra-performance liquid chromatography (UPLC). The quantitative analysis of multi-...

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Main Authors: Rui Xu, Fuying Mao, Yunsheng Zhao, Wenping Wang, Lingling Fan, Xiaojuan Gao, Jianjun Zhao, Hongling Tian
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/22/12/2276
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author Rui Xu
Fuying Mao
Yunsheng Zhao
Wenping Wang
Lingling Fan
Xiaojuan Gao
Jianjun Zhao
Hongling Tian
author_facet Rui Xu
Fuying Mao
Yunsheng Zhao
Wenping Wang
Lingling Fan
Xiaojuan Gao
Jianjun Zhao
Hongling Tian
author_sort Rui Xu
collection DOAJ
description The quality control of Polygala tenuifolia Wild. is a major challenge in its clinical application. In this paper, a new strategy for the quality evaluation of P. tenuifolia extracts was verified through reverse-phase ultra-performance liquid chromatography (UPLC). The quantitative analysis of multi-components by a single marker (QAMS) was conducted with 3,6′-disinapoyl sucrose as an internal reference substance. Eight components (i.e., sibiricose A5, sibiricose A6, glomeratose A, tenuifoliside A, tenuifoliside B, tenuifoliside C, sibiricaxanthone B, and polygalaxanthone III) were determined based on the relative correction factors. The concentrations of these components were also determined by applying a conventional external standard method. The cosine value confirmed the consistency of the two methods (cosine ratio value >0.999920). Hierarchical cluster analysis, radar plots, and discriminant analysis were performed to classify 23 batches of P. tenuifolia extracts from Shanxi, Hebei, and Shaanxi in China. Results revealed that QAMS combined with radar plots and multivariate data analysis could accurately measure and clearly distinguish the different quality samples of P. tenuifolia. Hence, QAMS is a feasible and promising method for the quality control of P. tenuifolia.
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spelling doaj.art-b341865965a64b21b45e8c566dafd7912022-12-21T20:02:08ZengMDPI AGMolecules1420-30492017-12-012212227610.3390/molecules22122276molecules22122276UPLC Quantitative Analysis of Multi-Components by Single Marker and Quality Evaluation of Polygala tenuifolia Wild. ExtractsRui Xu0Fuying Mao1Yunsheng Zhao2Wenping Wang3Lingling Fan4Xiaojuan Gao5Jianjun Zhao6Hongling Tian7School of Pharmacy, Ningxia Medical University, Yinchuan 750004, Ningxia, ChinaSchool of Pharmacy, Ningxia Medical University, Yinchuan 750004, Ningxia, ChinaSchool of Pharmacy, Ningxia Medical University, Yinchuan 750004, Ningxia, ChinaSchool of Pharmacy, Ningxia Medical University, Yinchuan 750004, Ningxia, ChinaSchool of Pharmacy, Ningxia Medical University, Yinchuan 750004, Ningxia, ChinaSchool of Pharmacy, Ningxia Medical University, Yinchuan 750004, Ningxia, ChinaSchool of Pharmacy, Ningxia Medical University, Yinchuan 750004, Ningxia, ChinaInstitute of Industrial Crop Research, Shanxi Academy of Agricultural Sciences, Fenyang 032200, Shanxi, ChinaThe quality control of Polygala tenuifolia Wild. is a major challenge in its clinical application. In this paper, a new strategy for the quality evaluation of P. tenuifolia extracts was verified through reverse-phase ultra-performance liquid chromatography (UPLC). The quantitative analysis of multi-components by a single marker (QAMS) was conducted with 3,6′-disinapoyl sucrose as an internal reference substance. Eight components (i.e., sibiricose A5, sibiricose A6, glomeratose A, tenuifoliside A, tenuifoliside B, tenuifoliside C, sibiricaxanthone B, and polygalaxanthone III) were determined based on the relative correction factors. The concentrations of these components were also determined by applying a conventional external standard method. The cosine value confirmed the consistency of the two methods (cosine ratio value >0.999920). Hierarchical cluster analysis, radar plots, and discriminant analysis were performed to classify 23 batches of P. tenuifolia extracts from Shanxi, Hebei, and Shaanxi in China. Results revealed that QAMS combined with radar plots and multivariate data analysis could accurately measure and clearly distinguish the different quality samples of P. tenuifolia. Hence, QAMS is a feasible and promising method for the quality control of P. tenuifolia.https://www.mdpi.com/1420-3049/22/12/2276Polygala tenuifolia Wild.multi-components by single markerultra-performance liquid chromatographyquality evaluation
spellingShingle Rui Xu
Fuying Mao
Yunsheng Zhao
Wenping Wang
Lingling Fan
Xiaojuan Gao
Jianjun Zhao
Hongling Tian
UPLC Quantitative Analysis of Multi-Components by Single Marker and Quality Evaluation of Polygala tenuifolia Wild. Extracts
Molecules
Polygala tenuifolia Wild.
multi-components by single marker
ultra-performance liquid chromatography
quality evaluation
title UPLC Quantitative Analysis of Multi-Components by Single Marker and Quality Evaluation of Polygala tenuifolia Wild. Extracts
title_full UPLC Quantitative Analysis of Multi-Components by Single Marker and Quality Evaluation of Polygala tenuifolia Wild. Extracts
title_fullStr UPLC Quantitative Analysis of Multi-Components by Single Marker and Quality Evaluation of Polygala tenuifolia Wild. Extracts
title_full_unstemmed UPLC Quantitative Analysis of Multi-Components by Single Marker and Quality Evaluation of Polygala tenuifolia Wild. Extracts
title_short UPLC Quantitative Analysis of Multi-Components by Single Marker and Quality Evaluation of Polygala tenuifolia Wild. Extracts
title_sort uplc quantitative analysis of multi components by single marker and quality evaluation of polygala tenuifolia wild extracts
topic Polygala tenuifolia Wild.
multi-components by single marker
ultra-performance liquid chromatography
quality evaluation
url https://www.mdpi.com/1420-3049/22/12/2276
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