Cargando…

Correlation between Quality and Geographical Origins of Cortex Periplocae, Based on the Qualitative and Quantitative Determination of Chemical Markers Combined with Chemical Pattern Recognition

Quality assessment of Cortex Periplocae remains a challenge, due to its complex chemical profile. This study aims to investigate the chemical components of Cortex Periplocae, including its non-volatile and volatile constituents, via liquid chromatograph–mass spectrometry (LC-MS/MS) and gas chromatog...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Mengyuan, Jia, Xiaohua, Huang, Xuhua, Wang, Wei, Yao, Guangzhe, Chang, Yanxu, Ouyang, Huizi, Li, Tianxiang, He, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6804018/
https://www.ncbi.nlm.nih.gov/pubmed/31597295
http://dx.doi.org/10.3390/molecules24193621
_version_ 1783461084336750592
author Gao, Mengyuan
Jia, Xiaohua
Huang, Xuhua
Wang, Wei
Yao, Guangzhe
Chang, Yanxu
Ouyang, Huizi
Li, Tianxiang
He, Jun
author_facet Gao, Mengyuan
Jia, Xiaohua
Huang, Xuhua
Wang, Wei
Yao, Guangzhe
Chang, Yanxu
Ouyang, Huizi
Li, Tianxiang
He, Jun
author_sort Gao, Mengyuan
collection PubMed
description Quality assessment of Cortex Periplocae remains a challenge, due to its complex chemical profile. This study aims to investigate the chemical components of Cortex Periplocae, including its non-volatile and volatile constituents, via liquid chromatograph–mass spectrometry (LC-MS/MS) and gas chromatography–mass spectrometry (GC-MS) assays. The established strategy manifested that Cortex Periplocae from different producing areas was determined by identifying 27 chemical markers with ultra-high-performance liquid chromatography, coupled with quadrupole tandem time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS), including four main groups of cardiac glycosides, organic acids, aldehydes, and oligosaccharides. These groups’ variable importance in the projection (VIP) were greater than 1. Simultaneously, the samples were divided into four categories, combined with multivariate statistical analysis. In addition, in order to further understand the difference in the content of samples from different producing areas, nine chemical markers of Cortex Periplocae from 14 different producing areas were determined by high performance liquid chromatography coupled with mass spectrometry (HPLC-MS/MS), and results indicated that the main effective constituents of Cortex Periplocae varied with places of origin. Furthermore, in GC-MS analysis, samples were divided into three groups with multivariate statistical analysis; in addition, 22 differential components whose VIP were greater than 1 were identified, which were principally volatile oils and fatty acids. Finally, the relative contents of seven main volatile constituents were obtained, which varied extremely with the producing areas. The results showed that the LC-MS/MS and GC-MS assays, combined with multivariate statistical analysis for Cortex Periplocae, provided a comprehensive and effective means for its quality evaluation.
format Online
Article
Text
id pubmed-6804018
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-68040182019-11-18 Correlation between Quality and Geographical Origins of Cortex Periplocae, Based on the Qualitative and Quantitative Determination of Chemical Markers Combined with Chemical Pattern Recognition Gao, Mengyuan Jia, Xiaohua Huang, Xuhua Wang, Wei Yao, Guangzhe Chang, Yanxu Ouyang, Huizi Li, Tianxiang He, Jun Molecules Article Quality assessment of Cortex Periplocae remains a challenge, due to its complex chemical profile. This study aims to investigate the chemical components of Cortex Periplocae, including its non-volatile and volatile constituents, via liquid chromatograph–mass spectrometry (LC-MS/MS) and gas chromatography–mass spectrometry (GC-MS) assays. The established strategy manifested that Cortex Periplocae from different producing areas was determined by identifying 27 chemical markers with ultra-high-performance liquid chromatography, coupled with quadrupole tandem time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS), including four main groups of cardiac glycosides, organic acids, aldehydes, and oligosaccharides. These groups’ variable importance in the projection (VIP) were greater than 1. Simultaneously, the samples were divided into four categories, combined with multivariate statistical analysis. In addition, in order to further understand the difference in the content of samples from different producing areas, nine chemical markers of Cortex Periplocae from 14 different producing areas were determined by high performance liquid chromatography coupled with mass spectrometry (HPLC-MS/MS), and results indicated that the main effective constituents of Cortex Periplocae varied with places of origin. Furthermore, in GC-MS analysis, samples were divided into three groups with multivariate statistical analysis; in addition, 22 differential components whose VIP were greater than 1 were identified, which were principally volatile oils and fatty acids. Finally, the relative contents of seven main volatile constituents were obtained, which varied extremely with the producing areas. The results showed that the LC-MS/MS and GC-MS assays, combined with multivariate statistical analysis for Cortex Periplocae, provided a comprehensive and effective means for its quality evaluation. MDPI 2019-10-08 /pmc/articles/PMC6804018/ /pubmed/31597295 http://dx.doi.org/10.3390/molecules24193621 Text en © 2019 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
Gao, Mengyuan
Jia, Xiaohua
Huang, Xuhua
Wang, Wei
Yao, Guangzhe
Chang, Yanxu
Ouyang, Huizi
Li, Tianxiang
He, Jun
Correlation between Quality and Geographical Origins of Cortex Periplocae, Based on the Qualitative and Quantitative Determination of Chemical Markers Combined with Chemical Pattern Recognition
title Correlation between Quality and Geographical Origins of Cortex Periplocae, Based on the Qualitative and Quantitative Determination of Chemical Markers Combined with Chemical Pattern Recognition
title_full Correlation between Quality and Geographical Origins of Cortex Periplocae, Based on the Qualitative and Quantitative Determination of Chemical Markers Combined with Chemical Pattern Recognition
title_fullStr Correlation between Quality and Geographical Origins of Cortex Periplocae, Based on the Qualitative and Quantitative Determination of Chemical Markers Combined with Chemical Pattern Recognition
title_full_unstemmed Correlation between Quality and Geographical Origins of Cortex Periplocae, Based on the Qualitative and Quantitative Determination of Chemical Markers Combined with Chemical Pattern Recognition
title_short Correlation between Quality and Geographical Origins of Cortex Periplocae, Based on the Qualitative and Quantitative Determination of Chemical Markers Combined with Chemical Pattern Recognition
title_sort correlation between quality and geographical origins of cortex periplocae, based on the qualitative and quantitative determination of chemical markers combined with chemical pattern recognition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6804018/
https://www.ncbi.nlm.nih.gov/pubmed/31597295
http://dx.doi.org/10.3390/molecules24193621
work_keys_str_mv AT gaomengyuan correlationbetweenqualityandgeographicaloriginsofcortexperiplocaebasedonthequalitativeandquantitativedeterminationofchemicalmarkerscombinedwithchemicalpatternrecognition
AT jiaxiaohua correlationbetweenqualityandgeographicaloriginsofcortexperiplocaebasedonthequalitativeandquantitativedeterminationofchemicalmarkerscombinedwithchemicalpatternrecognition
AT huangxuhua correlationbetweenqualityandgeographicaloriginsofcortexperiplocaebasedonthequalitativeandquantitativedeterminationofchemicalmarkerscombinedwithchemicalpatternrecognition
AT wangwei correlationbetweenqualityandgeographicaloriginsofcortexperiplocaebasedonthequalitativeandquantitativedeterminationofchemicalmarkerscombinedwithchemicalpatternrecognition
AT yaoguangzhe correlationbetweenqualityandgeographicaloriginsofcortexperiplocaebasedonthequalitativeandquantitativedeterminationofchemicalmarkerscombinedwithchemicalpatternrecognition
AT changyanxu correlationbetweenqualityandgeographicaloriginsofcortexperiplocaebasedonthequalitativeandquantitativedeterminationofchemicalmarkerscombinedwithchemicalpatternrecognition
AT ouyanghuizi correlationbetweenqualityandgeographicaloriginsofcortexperiplocaebasedonthequalitativeandquantitativedeterminationofchemicalmarkerscombinedwithchemicalpatternrecognition
AT litianxiang correlationbetweenqualityandgeographicaloriginsofcortexperiplocaebasedonthequalitativeandquantitativedeterminationofchemicalmarkerscombinedwithchemicalpatternrecognition
AT hejun correlationbetweenqualityandgeographicaloriginsofcortexperiplocaebasedonthequalitativeandquantitativedeterminationofchemicalmarkerscombinedwithchemicalpatternrecognition