Analysis of Angelica sinensis at different growth stages by 1H NMR-based metabolic fingerprinting combined with chemometrics
Year: 2025
Type: article
Abstract: The metabolite fingerprint analysis was performed using 1 H 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 1 H NMR spectroscopy, meanwhile, crude extracts in the root of Angelica sinensis were analyzed in terms of multivariate data. 1 H 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 1 H 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 1 H NMR-based metabolomics technology may be used to explore changes in Angelica sinensis secondary metabolites in the process of growth. As revealed by 1 H 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 .
Source: Journal of Chromatography B
Authors: Xinbo Pan, Zhirong Gu, Yingwen Yang, Rina Sa, Yali Wang
Language: English
Subfield: Complementary and alternative medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,640
OpenAlex ID: W4410856363