A strategy for qualitative and quantitative profiling of glycyrrhiza extract and discovery of potential markers by fingerprint-activity relationship modeling

This study was to evaluate the quality consistency of glycyrrhiza extract and to explore the possible anti-oxidant components in combination with chromatographic fingerprint and bioactivity evaluation. Characteristic fingerprints of glycyrrhiza extract samples from different sources were generated b...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yujing, Wang, Chao, Yang, Fangliang, Sun, Guoxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6361909/
https://www.ncbi.nlm.nih.gov/pubmed/30718789
http://dx.doi.org/10.1038/s41598-019-38601-y
_version_ 1783392775277903872
author Zhang, Yujing
Wang, Chao
Yang, Fangliang
Sun, Guoxiang
author_facet Zhang, Yujing
Wang, Chao
Yang, Fangliang
Sun, Guoxiang
author_sort Zhang, Yujing
collection PubMed
description This study was to evaluate the quality consistency of glycyrrhiza extract and to explore the possible anti-oxidant components in combination with chromatographic fingerprint and bioactivity evaluation. Characteristic fingerprints of glycyrrhiza extract samples from different sources were generated by high performance liquid chromatography with diode array detector (HPLC-DAD) and evaluated using hierarchical clustering and similarity analysis. Compared with the conventional qualitative similarity evaluation method, the averagely linear quantified fingerprint method had an important quantitative similarity parameter supported by quantitative analysis, which was recommended in the fingerprint evaluation. Antioxidant activities of the glycyrrhiza extract samples were determined by DPPH (2, 2-diphenyl-1-picryldrazyl) radical scavenging assays. In addition, the fingerprint-efficacy relationship was investigated by the chemical fingerprints and the anti-oxidant activities utilizing partial least squares model, which was capable of exploring and discovering the bioactive components of glycyrrhiza extracts. Therefore, the present study provided a powerful strategy to evaluate the holistic quality consistency of medicinal plant.
format Online
Article
Text
id pubmed-6361909
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-63619092019-02-06 A strategy for qualitative and quantitative profiling of glycyrrhiza extract and discovery of potential markers by fingerprint-activity relationship modeling Zhang, Yujing Wang, Chao Yang, Fangliang Sun, Guoxiang Sci Rep Article This study was to evaluate the quality consistency of glycyrrhiza extract and to explore the possible anti-oxidant components in combination with chromatographic fingerprint and bioactivity evaluation. Characteristic fingerprints of glycyrrhiza extract samples from different sources were generated by high performance liquid chromatography with diode array detector (HPLC-DAD) and evaluated using hierarchical clustering and similarity analysis. Compared with the conventional qualitative similarity evaluation method, the averagely linear quantified fingerprint method had an important quantitative similarity parameter supported by quantitative analysis, which was recommended in the fingerprint evaluation. Antioxidant activities of the glycyrrhiza extract samples were determined by DPPH (2, 2-diphenyl-1-picryldrazyl) radical scavenging assays. In addition, the fingerprint-efficacy relationship was investigated by the chemical fingerprints and the anti-oxidant activities utilizing partial least squares model, which was capable of exploring and discovering the bioactive components of glycyrrhiza extracts. Therefore, the present study provided a powerful strategy to evaluate the holistic quality consistency of medicinal plant. Nature Publishing Group UK 2019-02-04 /pmc/articles/PMC6361909/ /pubmed/30718789 http://dx.doi.org/10.1038/s41598-019-38601-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhang, Yujing
Wang, Chao
Yang, Fangliang
Sun, Guoxiang
A strategy for qualitative and quantitative profiling of glycyrrhiza extract and discovery of potential markers by fingerprint-activity relationship modeling
title A strategy for qualitative and quantitative profiling of glycyrrhiza extract and discovery of potential markers by fingerprint-activity relationship modeling
title_full A strategy for qualitative and quantitative profiling of glycyrrhiza extract and discovery of potential markers by fingerprint-activity relationship modeling
title_fullStr A strategy for qualitative and quantitative profiling of glycyrrhiza extract and discovery of potential markers by fingerprint-activity relationship modeling
title_full_unstemmed A strategy for qualitative and quantitative profiling of glycyrrhiza extract and discovery of potential markers by fingerprint-activity relationship modeling
title_short A strategy for qualitative and quantitative profiling of glycyrrhiza extract and discovery of potential markers by fingerprint-activity relationship modeling
title_sort strategy for qualitative and quantitative profiling of glycyrrhiza extract and discovery of potential markers by fingerprint-activity relationship modeling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6361909/
https://www.ncbi.nlm.nih.gov/pubmed/30718789
http://dx.doi.org/10.1038/s41598-019-38601-y
work_keys_str_mv AT zhangyujing astrategyforqualitativeandquantitativeprofilingofglycyrrhizaextractanddiscoveryofpotentialmarkersbyfingerprintactivityrelationshipmodeling
AT wangchao astrategyforqualitativeandquantitativeprofilingofglycyrrhizaextractanddiscoveryofpotentialmarkersbyfingerprintactivityrelationshipmodeling
AT yangfangliang astrategyforqualitativeandquantitativeprofilingofglycyrrhizaextractanddiscoveryofpotentialmarkersbyfingerprintactivityrelationshipmodeling
AT sunguoxiang astrategyforqualitativeandquantitativeprofilingofglycyrrhizaextractanddiscoveryofpotentialmarkersbyfingerprintactivityrelationshipmodeling
AT zhangyujing strategyforqualitativeandquantitativeprofilingofglycyrrhizaextractanddiscoveryofpotentialmarkersbyfingerprintactivityrelationshipmodeling
AT wangchao strategyforqualitativeandquantitativeprofilingofglycyrrhizaextractanddiscoveryofpotentialmarkersbyfingerprintactivityrelationshipmodeling
AT yangfangliang strategyforqualitativeandquantitativeprofilingofglycyrrhizaextractanddiscoveryofpotentialmarkersbyfingerprintactivityrelationshipmodeling
AT sunguoxiang strategyforqualitativeandquantitativeprofilingofglycyrrhizaextractanddiscoveryofpotentialmarkersbyfingerprintactivityrelationshipmodeling

Ejemplares similares