Comparative metabolic fingerprinting of Gentiana rhodantha from different geographical origins using LC-UV-MS/MS 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 ; 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: Gentiana rhodantha;Chemical fingerprint;LC-UV-MS/MS;Geographical origins;Characteristic compounds
期刊名称:BMC BIOCHEMISTRY ( 影响因子:4.059; 五年影响因子:2.24 )
ISSN: 1471-2091
年卷期: 2015 年 16 卷
页码:
收录情况: SCI
摘要: 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 Gentiana rhodantha from different geographical origins. Results: Targeted compounds were separated on a Shim-pack XR-ODS III (150 x 2.0 mm, 2.2 mu m), 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 Gentiana rhodantha, which could provide potential indicators for differentiation of different geographical origins.
- 相关文献
作者其他论文 更多>>
-
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
-
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
-
Simulation of suitable habitats and geographic tracing based on medicinal and edible plants with Gastrodia elata Bl. as an example
作者:Li, Chaoping;Wang, Yuanzhong;Li, Chaoping;Shen, Tao;Liu, Honggao
关键词:Suitable habitats; Chemometrics; Origin authentication; Correlation; Gastrodia elata Bl.
-
A rapid method for identification of Lanxangia tsaoko origin and fruit shape: FT-NIR combined with chemometrics and image recognition
作者:He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang;Yang, Shao-bing;Wang, Yuan-zhong
关键词:chemometrics; classification; Fourier transform-near infrared spectroscopy; image recognition; Lanxangia tsaoko
-
Aloperine-Type Alkaloids with Antiviral and Antifungal Activities from the Seeds of Sophora alopecuroides L.
作者:Hu, Zhan-Xing;Zhang, Ji;Zhang, Tong;Tian, Cai-Yan;An, Qiao;Yi, Ping;Yuan, Chun-Mao;Hao, Xiao-Jiang;Hu, Zhan-Xing;Zhang, Ji;Zhang, Tong;Tian, Cai-Yan;An, Qiao;Yi, Ping;Yuan, Chun-Mao;Hao, Xiao-Jiang;Zhang, Zhong-Kai;Zhao, Li-Hua;Hao, Xiao-Jiang
关键词:Sophora alopecuroides L.; aloperine-typealkaloids; anti-TMV; antifungal activities
-
Optimization of the selection of suitable harvesting periods for medicinal plants: taking Dendrobium officinale as an example
作者:Li, Peiyuan;Li, Li;Li, Peiyuan;Wang, Yuanzhong;Shen, Tao
关键词:Medicinal plant; Dendrobium officinale; ATR-FTIR; ResNet; Harvesting period; Anticipate
-
Rare earth contamination of edible vegetation: Ce, La, and summed REE in fungi
作者:Falandysz, Jerzy;Kilanowicz, Anna;Fernandes, Alwyn R.;Zhang, Ji
关键词:Edible fungi; Environment; Health; Metallic elements; Pollution; Soil