期刊
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
卷 59, 期 16, 页码 8806-8815出版社
AMER CHEMICAL SOC
DOI: 10.1021/jf2016286
关键词
metabolite profiling; Angelica gigas; geographical origin; H-1 NMR; UPLS-MS; chemometric analysis
资金
- Korean government (MEST)
- Korea Basic Science Institute [T3173]
- National Research Council of Science & Technology (NST), Republic of Korea [T31500] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Foundation of Korea [2009008146] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Angelica gigas obtained from different geographical regions was characterized using H-1 nuclear magnetic resonance (NMR) spectroscopy and ultraperformance liquid chromatography-mass spectrometry (UPLC-MS) followed by multivariate data analyses. Principal component analysis (PCA) and orthogonal partial least-squares-discriminant analysis (OPLS-DA) score plots from H-1 NMR and UPLC-MS data sets showed a clear distinction among A. gigas from three different regions in Korea. The major metabolites that contributed to the discrimination factor were primary metabolites including acetate, choline, citrate, 1,3-dimethylurate, fumarate, glucose, histamine, lactose, malate, N-acetylglutamate, succinate, and valine and secondary metabolites including decursin, decursinol, nodakenin, marmesin, 7-hydroxy-6-(2R-hydroxy-3-methylbut-3-ethyl)coumarin in A. gigas roots. The results demonstrate that H-1 NMR and UPLC-MS-based metabolic profiling coupled with chemometric analysis can be used to discriminate the geographical origins of various herbal medicines and to identify primary and secondary metabolites responsible for discrimination.
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