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Analysis of Angelica sinensis at different growth stages by 1H NMR-based metabolic fingerprinting combined with chemometrics  ( EI收录)  

文献类型:期刊文献

英文题名:Analysis of Angelica sinensis at different growth stages by 1H NMR-based metabolic fingerprinting combined with chemometrics

作者:Pan, Xinbo[1,3]; Gu, Zhirong[1,2]; Yang, Yingwen[1]; Sa, Rina[3]; Wang, Yali[1]

第一作者:Pan, Xinbo

机构:[1] School of Pharmacy, Gansu University of Chinese Medicine, Gansu, Lanzhou, 730000, China; [2] Department of Pharmacy, Gansu Provincial People's Hospital, Gansu, Lanzhou, 730000, China; [3] Department of Pharmacy, The Second People's Hospital of Lanzhou, Gansu, Lanzhou, 730000, China

第一机构:甘肃中医药大学

年份:2025

卷号:1263

外文期刊名:Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences

收录:EI(收录号:20252318538628);Scopus(收录号:2-s2.0-105006996799)

语种:英文

外文关键词:Chemical detection - Metabolites - Principal component analysis - Redundancy - Reliability analysis - Reliability theory - Spectroscopic analysis

摘要:The metabolite fingerprint analysis was performed using 1H NMR spectroscopy was adopted for systematically evaluate the Angelica sinensis metabolite profile analysis in diverse growth periods, along with the identification of the metabolites, so as to analyze changes in Angelica sinensis secondary metabolites during growth. This aims at analyzing changes in Angelica sinensis secondary metabolites during growth. Metabolic profiles were analyzed through 1H NMR spectroscopy, meanwhile, crude extracts in the root of Angelica sinensis were analyzed in terms of multivariate data. 1H NMR chemical shifts were compared with those of available reference standards to identify metabolites. Principal component analyses (PCA) together with partial least-squares discriminate analysis (PLS-DA) on 1H NMR data clearly separated different year's samples by components axis. According to this study, Angelica sinensis secondary metabolite accumulation was tightly associated with growth periods, demonstrating that metabolomics might be used in the natural health product Angelica sinensis. The 1H NMR-based metabolomics technology may be used to explore changes in Angelica sinensis secondary metabolites in the process of growth. As revealed by 1H NMR metabolite fingerprinting in combination with chemometric analysis, some substances like ferulic acid, ligustilide, levistilide A and sugars could be quality assurance markers for Angelica sinensis. ? 2025

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