Development of gas chromatographic mass spectrometry-pattern recognition method for the quality control of Korean Angelica
- Authors
- Piao, Xiang-Lan; Park, Jeong Hill; Cui, Han; Kim, Dong-Hyun; Yoo, Hye Hyun
- Issue Date
- Sep-2007
- Publisher
- Elsevier BV
- Keywords
- angelica radix; GC/MS; pattern recognition analysis; fingerprint analysis
- Citation
- Journal of Pharmaceutical and Biomedical Analysis, v.44, no.5, pp.1163 - 1167
- Indexed
- SCOPUS
- Journal Title
- Journal of Pharmaceutical and Biomedical Analysis
- Volume
- 44
- Number
- 5
- Start Page
- 1163
- End Page
- 1167
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/43444
- DOI
- 10.1016/j.jpba.2007.04.006
- ISSN
- 0731-7085
- Abstract
- This paper describes gas chromatographic/mass spectrometry (GC/MS)-pattern recognition methods for the quality control of Korean Angelica. A total of 57 Angelicae radix samples, including Angelica gigas (Korean origin), A. sinensis (Chinese origin) and A. acutiloba (Japanese origin), were analyzed by GC/MS, with a principal component analysis (PCA) subsequently applied to 10 common peaks selected from each chromatogram. As a result, the samples were clustered according to their origins on the PC score plot. The loading plot revealed that decursin and decursinol angelate were the most contributive principles distinguishing Korean samples from Chinese and Japanese samples, In addition, a discriminant model was developed for classification of the Angelicae radix, using a discriminant analysis (DA), and validated with a training set (three from A. gigas, four from A. sinensis, and three from A. acutiloba). All samples tested were successfully classified according to their species origin. (c) 2007 Elsevier B.V. All rights reserved.
- Files in This Item
-
Go to Link
- Appears in
Collections - COLLEGE OF PHARMACY > DEPARTMENT OF PHARMACY > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.