Cargando…
Comparative metabolic fingerprinting of Gentiana rhodantha from different geographical origins using LC-UV-MS/MS and multivariate statistical analysis
BACKGROUNDS: Gentiana rhodantha, a rich source of iridoids and polyphenols, is a traditional ethnomedicine widely used in China. Metabolic fingerprinting based on a LC-UV-MS/MS method was applied to explore the chemical markers for discrimination of G. rhodantha from different geographical origins....
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4390080/ https://www.ncbi.nlm.nih.gov/pubmed/25880482 http://dx.doi.org/10.1186/s12858-015-0038-5 |
_version_ | 1782365639119208448 |
---|---|
author | Pan, Yu Zhang, Ji Shen, Tao Zhao, Yan-Li Wang, Yuan-Zhong Li, Wan-Yi |
author_facet | Pan, Yu Zhang, Ji Shen, Tao Zhao, Yan-Li Wang, Yuan-Zhong Li, Wan-Yi |
author_sort | Pan, Yu |
collection | PubMed |
description | BACKGROUNDS: Gentiana rhodantha, a rich source of iridoids and polyphenols, is a traditional ethnomedicine widely used in China. Metabolic fingerprinting based on a LC-UV-MS/MS method was applied to explore the chemical markers for discrimination of G. rhodantha from different geographical origins. RESULTS: Targeted compounds were separated on a Shim-pack XR-ODS III (150 × 2.0 mm, 2.2 μm), with a mobile phase consisted of acetonitrile and 0.1% formic acid in water, under gradient elution. In quantitative analysis, all of the calibration curves showed good linear regression (R(2) < less than 0.9991) within the tested ranges, and accuracy ranged from 97.8% to 104.2% and the %RSD of precision (less than 3%) were all within the required limits. The most abundant mangiferin (82.21 mg/g) found in sample from Zunyi, Guizhou province. Furthermore, 64 samples according to their geographical origins, could be classified by partial least-squares discriminate analysis (PLS-DA) and nine compounds including two new compounds identified by mass spectrometry could be regarded as characteristic compounds for discriminating samples from different geographical origins. CONCLUSIONS: The developed method appears to be a useful tool for analysis of G. rhodantha, which could provide potential indicators for differentiation of different geographical origins. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12858-015-0038-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4390080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43900802015-04-09 Comparative metabolic fingerprinting of Gentiana rhodantha from different geographical origins using LC-UV-MS/MS and multivariate statistical analysis Pan, Yu Zhang, Ji Shen, Tao Zhao, Yan-Li Wang, Yuan-Zhong Li, Wan-Yi BMC Biochem Methodology Article BACKGROUNDS: Gentiana rhodantha, a rich source of iridoids and polyphenols, is a traditional ethnomedicine widely used in China. Metabolic fingerprinting based on a LC-UV-MS/MS method was applied to explore the chemical markers for discrimination of G. rhodantha from different geographical origins. RESULTS: Targeted compounds were separated on a Shim-pack XR-ODS III (150 × 2.0 mm, 2.2 μm), with a mobile phase consisted of acetonitrile and 0.1% formic acid in water, under gradient elution. In quantitative analysis, all of the calibration curves showed good linear regression (R(2) < less than 0.9991) within the tested ranges, and accuracy ranged from 97.8% to 104.2% and the %RSD of precision (less than 3%) were all within the required limits. The most abundant mangiferin (82.21 mg/g) found in sample from Zunyi, Guizhou province. Furthermore, 64 samples according to their geographical origins, could be classified by partial least-squares discriminate analysis (PLS-DA) and nine compounds including two new compounds identified by mass spectrometry could be regarded as characteristic compounds for discriminating samples from different geographical origins. CONCLUSIONS: The developed method appears to be a useful tool for analysis of G. rhodantha, which could provide potential indicators for differentiation of different geographical origins. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12858-015-0038-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-03-28 /pmc/articles/PMC4390080/ /pubmed/25880482 http://dx.doi.org/10.1186/s12858-015-0038-5 Text en © Pan et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Article Pan, Yu Zhang, Ji Shen, Tao Zhao, Yan-Li Wang, Yuan-Zhong Li, Wan-Yi Comparative metabolic fingerprinting of Gentiana rhodantha from different geographical origins using LC-UV-MS/MS and multivariate statistical analysis |
title | Comparative metabolic fingerprinting of Gentiana rhodantha from different geographical origins using LC-UV-MS/MS and multivariate statistical analysis |
title_full | Comparative metabolic fingerprinting of Gentiana rhodantha from different geographical origins using LC-UV-MS/MS and multivariate statistical analysis |
title_fullStr | Comparative metabolic fingerprinting of Gentiana rhodantha from different geographical origins using LC-UV-MS/MS and multivariate statistical analysis |
title_full_unstemmed | Comparative metabolic fingerprinting of Gentiana rhodantha from different geographical origins using LC-UV-MS/MS and multivariate statistical analysis |
title_short | Comparative metabolic fingerprinting of Gentiana rhodantha from different geographical origins using LC-UV-MS/MS and multivariate statistical analysis |
title_sort | comparative metabolic fingerprinting of gentiana rhodantha from different geographical origins using lc-uv-ms/ms and multivariate statistical analysis |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4390080/ https://www.ncbi.nlm.nih.gov/pubmed/25880482 http://dx.doi.org/10.1186/s12858-015-0038-5 |
work_keys_str_mv | AT panyu comparativemetabolicfingerprintingofgentianarhodanthafromdifferentgeographicaloriginsusinglcuvmsmsandmultivariatestatisticalanalysis AT zhangji comparativemetabolicfingerprintingofgentianarhodanthafromdifferentgeographicaloriginsusinglcuvmsmsandmultivariatestatisticalanalysis AT shentao comparativemetabolicfingerprintingofgentianarhodanthafromdifferentgeographicaloriginsusinglcuvmsmsandmultivariatestatisticalanalysis AT zhaoyanli comparativemetabolicfingerprintingofgentianarhodanthafromdifferentgeographicaloriginsusinglcuvmsmsandmultivariatestatisticalanalysis AT wangyuanzhong comparativemetabolicfingerprintingofgentianarhodanthafromdifferentgeographicaloriginsusinglcuvmsmsandmultivariatestatisticalanalysis AT liwanyi comparativemetabolicfingerprintingofgentianarhodanthafromdifferentgeographicaloriginsusinglcuvmsmsandmultivariatestatisticalanalysis |