Metabolite Profiling of Angelica gigas from Different Geographical Origins Using H-1 NMR and UPLC-MS Analyses
- Authors
- Kim, Eun Jin; Kwon, Joseph; Park, Seong Hwa; Park, Chiyoul; Seo, Young-Bae; Shin, Hyun-Kyoo; Kim, Ho Kyoung; Lee, Kwang-Sik; Choi, Sang-Yun; Ryu, Do Hyun; Hwang, Geum-Sook
- Issue Date
- 24-8월-2011
- Publisher
- AMER CHEMICAL SOC
- Keywords
- metabolite profiling; Angelica gigas; geographical origin; H-1 NMR; UPLS-MS; chemometric analysis
- Citation
- JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, v.59, no.16, pp.8806 - 8815
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
- Volume
- 59
- Number
- 16
- Start Page
- 8806
- End Page
- 8815
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/111764
- DOI
- 10.1021/jf2016286
- ISSN
- 0021-8561
- Abstract
- 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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