Investigation of chemical diversity in different parts and origins of ethnomedicine Gentiana rigescens Franch using targeted metabolite profiling and multivariate statistical analysis
文献类型： 外文期刊
作者： Pan, Yu 1 ; Zhang, Ji 1 ; Shen, Tao 3 ; Zhao, Yan-Li 1 ; Zuo, Zhi-Tian 1 ; Wang, Yuan-Zhong 1 ; Li, Wan-Yi 1 ;
作者机构： 1.Yunnan Acad Agr Sci, Inst Med Plants, Kunming 650200, Peoples R China
2.Yunnan Univ Tradit Chinese Med, Coll Tradit Chinese Med, Kunming 650500, Peoples R China
3.Yuxi Normal Univ, Coll Resources & Environm, Yuxi 653100, Peoples R China
关键词： chemical diversity;G. rigescens;plant part;geographical origin;LC-MS/MS
期刊名称：BIOMEDICAL CHROMATOGRAPHY （ 影响因子：1.902； 五年影响因子：1.809 ）
ISSN：
年卷期：
页码：
收录情况： SCI
摘要： Gentiana rigescens, an ethnomedicine, is widely cultivated in Yunnan province of China. Although a wide range of metabolites including iridoid glycosides, flavonoids and triterpenoids have been reported in this ethnomedicine, the data on accumulation and distribution of metabolites in certain parts are limited. In this study, targeted metabolic fingerprinting of iridoid glycosides based on liquid chromatography-ultraviolet detection-tandem mass spectrometry (LC-UV-MS/MS) was developed to investigate the metabolic similarities and differences in different parts and origins. Thirty-one compounds, including iridoid glycosides and flavonoids, were detected from targeted metabolite profiling and plausibly assigned to the different parts of G. rigescens. Multivariate statistical analysis was designed to reveal close chemical similarities between all the selected samples and to identify key metabolites characteristic of the standard. The results suggested that accumulation and distribution of metabolites in aerial and underground parts were different. Moreover, root samples tended to be grouped on the basis of the geographical closeness of region. Five metabolites can be considered as potential markers for the classification of underground parts from different regions. These results provided chemical information on the potential pharmaceutical value for further research, making G. rigescens ideal for the rational usage of different parts and exploitation of the source. Copyright (c) 2015 John Wiley & Sons, Ltd.
- 相关文献
作者其他论文 更多>>
-
Applications of chemical fingerprints and machine learning in plant ecology: Recent progress and future perspectives
作者：Zhong, Chen;Wang, Yuan-Zhong;Zhong, Chen;Li, Li
关键词：Chemical fingerprints; Chemometrics; Plant ecology; Analytical techniques; Machine learning algorithms
-
Analysis of Chemical Changes during Maturation of Amomum tsao-ko Based on GC-MS, FT-NIR, and FT-MIR
作者：He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang
关键词：
-
Suitable habitat prediction and identification of origin of Lanxangia tsao-ko
作者：He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang
关键词：Medicinal plant; FT-NIR spectroscopy; Machine learning; Suitable habitats; Origin identification
-
Application of spectral image processing with different dimensions combined with large-screen visualization in the identification of boletes species
作者：Li, Jie-Qing;Liu, Hong-Gao;Wang, Yuan-Zhong;Liu, Hong-Gao
关键词：boletes species; 2DCOS images; 3DCOS images; Alexnet; Resnet; large-screen visualization
-
Traditional uses, chemical compositions and pharmacological activities of Dendrobium: A review
作者：Li, Pei-Yuan;Wang, Yuan-Zhong;Li, Pei-Yuan;Li, Li
关键词：Dendrobium; Traditional use; Chemical composition; Pharmacological activity
-
A rapid identification based on FT-NIR spectroscopies and machine learning for drying temperatures of Amomum tsao-ko
作者：He, Gang;Lin, Qi;Yang, Shao-Bing;Wang, Yuan-Zhong;He, Gang;Lin, Qi
关键词：Identification research; FT-NIR spectroscopies; Machine learning; Chemometrics; Drying temperatures; Amomum tsao-ko
-
The potential of Amomum tsao-ko as a traditional Chinese medicine: Traditional clinical applications, phytochemistry and pharmacological properties
作者：He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang
关键词：Amomum tsao-ko; Chinese herbal medicine; Chemical compounds; Physiological characteristics; Review
