Liquid Chromatography Tandem Mass Spectrometry Combined with Fourier Transform Mid-Infrared Spectroscopy and Chemometrics for Comparative Analysis of Raw and Processed Gentiana rigescens
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, Peoples R China
3.Yuxi Normal Univ, Coll Resources & Environm, Yuxi, Peoples R China
关键词： chemometrics;quality variations;FT-MIR;marker metabolites;LC-MS/MS;processed Gentiana rigescens
期刊名称：JOURNAL OF LIQUID CHROMATOGRAPHY & RELATED TECHNOLOGIES （ 影响因子：1.312； 五年影响因子：1.145 ）
ISSN：
年卷期：
页码：
收录情况： SCI
摘要： Herbal medicines have been shown to change chemical constituents upon different processing approaches, which might lead to different pharmacological activities and therapeutic effects. In this study, raw and processed Gentiana rigescens (wine-, vinegar-, and salt water-processed) were extracted and profiled by ultra-fast liquid chromatography tandem mass spectrometry (UFLC-MS/MS) and Fourier transform mid-infrared spectroscopy (FT-MIR). Hierarchical cluster analysis (HCA) based on FT-MIR revealed potential relationships between raw and processed samples, while the processed sample displayed chemical variation. Partial least-squares discriminate analysis (PLS-DA) was used for screening the marker metabolites. The results indicated that UFLC-UV-MS/MS and FT-MIR fingerprints with chemometrics could effectively evaluate the quality of G. rigescens under different processed approaches. Eight compounds were selected as potential marker metabolites for contributing to the most effective classification of raw and processed samples. In addition, these potential marker metabolites were tentatively identified by matching mass information with the fragmentation patterns of the published literature or standard compounds. These results revealed that UFLC-UV-MS/MS and FT-MIR methods coupled with chemometrics could provide an effective platform for monitoring quality variations of G. rigescens under different processed approaches.
- 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
