Cargando…
Quality Evaluation of Mahonia bealei (Fort.) Carr. Using Supercritical Fluid Chromatography with Chemical Pattern Recognition
Mahonia bealei (Fort.) Carr. (M. bealei) plays an important role in the treatment of many diseases. In the present study, a comprehensive method combining supercritical fluid chromatography (SFC) fingerprints and chemical pattern recognition (CPR) for quality evaluation of M. bealei was developed. S...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832872/ https://www.ncbi.nlm.nih.gov/pubmed/31614942 http://dx.doi.org/10.3390/molecules24203684 |
_version_ | 1783466246871711744 |
---|---|
author | Huang, Yang Jiang, Zhengjin Wang, Jue Yin, Guo Jiang, Kun Tu, Jiasheng Wang, Tiejie |
author_facet | Huang, Yang Jiang, Zhengjin Wang, Jue Yin, Guo Jiang, Kun Tu, Jiasheng Wang, Tiejie |
author_sort | Huang, Yang |
collection | PubMed |
description | Mahonia bealei (Fort.) Carr. (M. bealei) plays an important role in the treatment of many diseases. In the present study, a comprehensive method combining supercritical fluid chromatography (SFC) fingerprints and chemical pattern recognition (CPR) for quality evaluation of M. bealei was developed. Similarity analysis, hierarchical cluster analysis (HCA), principal component analysis (PCA) were applied to classify and evaluate the samples of wild M. bealei, cultivated M. bealei and its substitutes according to the peak area of 11 components but an accurate classification could not be achieved. PLS-DA was then adopted to select the characteristic variables based on variable importance in projection (VIP) values that responsible for accurate classification. Six characteristics peaks with higher VIP values (≥1) were selected for building the CPR model. Based on the six variables, three types of samples were accurately classified into three related clusters. The model was further validated by a testing set samples and predication set samples. The results indicated the model was successfully established and predictive ability was also verified satisfactory. The established model demonstrated that the developed SFC coupled with PLS-DA method showed a great potential application for quality assessment of M. bealei. |
format | Online Article Text |
id | pubmed-6832872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68328722019-11-25 Quality Evaluation of Mahonia bealei (Fort.) Carr. Using Supercritical Fluid Chromatography with Chemical Pattern Recognition Huang, Yang Jiang, Zhengjin Wang, Jue Yin, Guo Jiang, Kun Tu, Jiasheng Wang, Tiejie Molecules Article Mahonia bealei (Fort.) Carr. (M. bealei) plays an important role in the treatment of many diseases. In the present study, a comprehensive method combining supercritical fluid chromatography (SFC) fingerprints and chemical pattern recognition (CPR) for quality evaluation of M. bealei was developed. Similarity analysis, hierarchical cluster analysis (HCA), principal component analysis (PCA) were applied to classify and evaluate the samples of wild M. bealei, cultivated M. bealei and its substitutes according to the peak area of 11 components but an accurate classification could not be achieved. PLS-DA was then adopted to select the characteristic variables based on variable importance in projection (VIP) values that responsible for accurate classification. Six characteristics peaks with higher VIP values (≥1) were selected for building the CPR model. Based on the six variables, three types of samples were accurately classified into three related clusters. The model was further validated by a testing set samples and predication set samples. The results indicated the model was successfully established and predictive ability was also verified satisfactory. The established model demonstrated that the developed SFC coupled with PLS-DA method showed a great potential application for quality assessment of M. bealei. MDPI 2019-10-13 /pmc/articles/PMC6832872/ /pubmed/31614942 http://dx.doi.org/10.3390/molecules24203684 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 Huang, Yang Jiang, Zhengjin Wang, Jue Yin, Guo Jiang, Kun Tu, Jiasheng Wang, Tiejie Quality Evaluation of Mahonia bealei (Fort.) Carr. Using Supercritical Fluid Chromatography with Chemical Pattern Recognition |
title | Quality Evaluation of Mahonia bealei (Fort.) Carr. Using Supercritical Fluid Chromatography with Chemical Pattern Recognition |
title_full | Quality Evaluation of Mahonia bealei (Fort.) Carr. Using Supercritical Fluid Chromatography with Chemical Pattern Recognition |
title_fullStr | Quality Evaluation of Mahonia bealei (Fort.) Carr. Using Supercritical Fluid Chromatography with Chemical Pattern Recognition |
title_full_unstemmed | Quality Evaluation of Mahonia bealei (Fort.) Carr. Using Supercritical Fluid Chromatography with Chemical Pattern Recognition |
title_short | Quality Evaluation of Mahonia bealei (Fort.) Carr. Using Supercritical Fluid Chromatography with Chemical Pattern Recognition |
title_sort | quality evaluation of mahonia bealei (fort.) carr. using supercritical fluid chromatography with chemical pattern recognition |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832872/ https://www.ncbi.nlm.nih.gov/pubmed/31614942 http://dx.doi.org/10.3390/molecules24203684 |
work_keys_str_mv | AT huangyang qualityevaluationofmahoniabealeifortcarrusingsupercriticalfluidchromatographywithchemicalpatternrecognition AT jiangzhengjin qualityevaluationofmahoniabealeifortcarrusingsupercriticalfluidchromatographywithchemicalpatternrecognition AT wangjue qualityevaluationofmahoniabealeifortcarrusingsupercriticalfluidchromatographywithchemicalpatternrecognition AT yinguo qualityevaluationofmahoniabealeifortcarrusingsupercriticalfluidchromatographywithchemicalpatternrecognition AT jiangkun qualityevaluationofmahoniabealeifortcarrusingsupercriticalfluidchromatographywithchemicalpatternrecognition AT tujiasheng qualityevaluationofmahoniabealeifortcarrusingsupercriticalfluidchromatographywithchemicalpatternrecognition AT wangtiejie qualityevaluationofmahoniabealeifortcarrusingsupercriticalfluidchromatographywithchemicalpatternrecognition |