Piao, Xiang-Lan Park, Jeong Hill Cui, Han Kim, Dong-Hyun Yoo, Hye Hyun 2024-01-21T00:32:11Z 2024-01-21T00:32:11Z 2021-09-02 2007-09-03 0731-7085 https://pubs.kist.re.kr/handle/201004/134111 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. English ELSEVIER SCIENCE BV PERFORMANCE LIQUID-CHROMATOGRAPHY LIGUSTICUM-CHUANXIONG MEDICINAL-PLANTS IDENTIFICATION COUMARIN QUANTIFICATION COMPONENTS SINENSIS DECURSIN DANGGUI Development of gas chromatographic mass spectrometry-pattern recognition method for the quality control of Korean Angelica Article 10.1016/j.jpba.2007.04.006 1 JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, v.44, no.5, pp.1163 - 1167 JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS 44 5 1163 1167 scie scopus 000249469000021 2-s2.0-34547733903 Chemistry, Analytical Pharmacology & Pharmacy Chemistry Pharmacology & Pharmacy Article PERFORMANCE LIQUID-CHROMATOGRAPHY LIGUSTICUM-CHUANXIONG MEDICINAL-PLANTS IDENTIFICATION COUMARIN QUANTIFICATION COMPONENTS SINENSIS DECURSIN DANGGUI angelica radix GC/MS pattern recognition analysis fingerprint analysis