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Anal Methods


Title:Non-targeted metabolomic analysis of variation of volatile fractions of ginseng from different habitats by HS-SPME-GC-MS coupled with chemometrics
Author(s):Gu WT; Li LY; Rui WJ; Diao ZW; Zhuang GD; Chen XM; Qian ZM; Wang SM; Tang D; Ma HY;
Address:"Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of State Administration of TCM and Engineering & Technology Research Center for Chinese Materia Medica Quality of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou 510006, China. hongyan203@126.com. Hutchison Whampoa Guangzhou Baiyunshan Chinese Medicine Company Limited, Guangzhou 51006, China. Guangzhou Forensic Science Institute, Guangzhou 51006, China. Ruyuan HEC Pharm Co., Ltd, Shaoguan, 512700, China"
Journal Title:Anal Methods
Year:2022
Volume:20220922
Issue:36
Page Number:3583 - 3597
DOI: 10.1039/d2ay01060g
ISSN/ISBN:1759-9679 (Electronic) 1759-9660 (Linking)
Abstract:"Cultivated ginseng (CG), transplanted ginseng (TG) and mountain cultivated ginseng (MCG) classified by the habitat type all belong to Panax ginseng and were reported to have similar types of secondary metabolites. Nonetheless, owing to the distinctly diverse habitats in which these ginseng types grow, their pharmacological effects differ. In the present study, an emerging analytical approach involving headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) was established to effectively distinguish among CG, TG and MCG. First, the volatile components were analysed and identified by using the NIST library combined with measured retention indices (Kovats', RI), and a total of 78 volatile components were finally characterized, which included terpenes, alcohols, esters, aldehydes and alkynols. Furthermore, multivariate statistical approaches, principal component analysis (PCA) and orthogonal partial least-squares discrimination analysis (OPLS-DA) were subsequently utilized to screen for compounds of significance. Under optimized HS-SPME-GC-MS conditions, 12, 16, and 16 differential markers were screened in the CG-TG, CG-MCG and TG-MCG groups, respectively. Our study suggested that HS-SPME-GC-MS analysis combined with metabolomic analytical methods and chemometric techniques can be applied as potent tools to identify chemical marker candidates to distinguish CG, TG and MCG"
Keywords:Aldehydes/analysis/metabolism Chemometrics Ecosystem Gas Chromatography-Mass Spectrometry/methods *Panax/chemistry/metabolism Solid Phase Microextraction/methods Terpenes/analysis/metabolism *Volatile Organic Compounds/analysis/metabolism;
Notes:"MedlineGu, Wen-Ting Li, Lin-Yuan Rui, Wen-Jing Diao, Zhong-Wen Zhuang, Guo-Dong Chen, Xiao-Mei Qian, Zheng-Ming Wang, Shu-Mei Tang, Dan Ma, Hong-Yan eng Research Support, Non-U.S. Gov't England 2022/09/01 Anal Methods. 2022 Sep 22; 14(36):3583-3597. doi: 10.1039/d2ay01060g"

 
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