Discriminating Lamiophlomis rotata According to Geographical Origin by (1)H-NMR Spectroscopy and Multivariate Analysis

التفاصيل البيبلوغرافية
العنوان: Discriminating Lamiophlomis rotata According to Geographical Origin by (1)H-NMR Spectroscopy and Multivariate Analysis
المؤلفون: Zheng, Pan, Gang, Fan, Rong-ping, Yang, Wei-zao, Luo, Xiang-dong, Zhou, Yi, Zhang
المصدر: Phytochemical analysis : PCA. 26(4)
سنة النشر: 2014
مصطلحات موضوعية: China, Principal Component Analysis, Lamiaceae, Magnetic Resonance Spectroscopy, Plants, Medicinal, Iridoid Glycosides, Multivariate Analysis, Cluster Analysis, Metabolomics, Hydrogen
الوصف: Lamiophlomis rotata (Duyiwei) is a folk herbal medicine that traditionally has been used in China as a hemostatic agent. Raw plant materials used for medicinal products from different geographical regions are often inconsistent in chemical composition. Metabolic fingerprinting provides a new approach for distinguishing the geographical origins of L. rotata.To identify metabolites that contribute to the different geographical regions of L. rotata samples.Lamiophlomis rotata metabolomics were performed by (1)H-nuclear magnetic resonance (NMR) spectroscopy and multivariate statistical analyses. The L. rotata metabolic profile was prepared for NMR measurements using methanol-d4 solvent. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were applied to analyse the L. rotata (1)H-NMR spectroscopy data.Nine iridoid glycosides, one flavonoid and three phenylpropanoid glycosides were detected in L. rotata by (1)H-NMR spectroscopy. (1)H-NMR measurements and multivariate analysis were used to successfully discriminate samples from three different locations.The NMR-based analysis of L. rotata is a more comprehensive approach than traditional chromatographic methods. Simple sample preparation, rapidity and reproducibility of are additional advantages of NMR analysis.
تدمد: 1099-1565
URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid________::fc07589ebd308ba86c15912e8b5e7f0a
https://pubmed.ncbi.nlm.nih.gov/25693849
رقم الأكسشن: edsair.pmid..........fc07589ebd308ba86c15912e8b5e7f0a
قاعدة البيانات: OpenAIRE