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.
Hutchison Whampoa Guangzhou Baiyunshan Chinese Medicine Company Limited, Guangzhou 51006, China.
Anal Methods. 2022 Sep 22;14(36):3583-3597. doi: 10.1039/d2ay01060g.
Cultivated ginseng (CG), transplanted ginseng (TG) and mountain cultivated ginseng (MCG) classified by the habitat type all belong to 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.
栽培人参(CG)、移栽人参(TG)和山地栽培人参(MCG)按生境类型分类均属于 ,被报道具有相似类型的次生代谢产物。然而,由于这些人参类型生长的环境明显不同,它们的药理作用也不同。在本研究中,建立了一种新兴的分析方法,涉及顶空固相微萃取-气相色谱-质谱联用(HS-SPME-GC-MS),可有效区分 CG、TG 和 MCG。首先,通过使用 NIST 库结合测量的保留指数(Kovats',RI)对挥发性成分进行分析和鉴定,最终鉴定出 78 种挥发性成分,包括萜类、醇类、酯类、醛类和炔醇类。此外,随后还利用多元统计方法、主成分分析(PCA)和正交偏最小二乘判别分析(OPLS-DA)筛选有意义的化合物。在优化的 HS-SPME-GC-MS 条件下,分别在 CG-TG、CG-MCG 和 TG-MCG 组中筛选出 12、16 和 16 个差异标志物。本研究表明,HS-SPME-GC-MS 分析结合代谢组学分析方法和化学计量学技术可作为识别区分 CG、TG 和 MCG 的化学标志物候选物的有效工具。