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Geographical Classification of Angelica gigas using UHPLC-DAD Combined Multivariate Analyses  

Kim, Jung-Ryul (College of Pharmacy, Seoul National University)
Lee, Dong Young (College of Pharmacy, Seoul National University)
Sung, Sang Hyun (College of Pharmacy, Seoul National University)
Kim, Jinwoong (College of Pharmacy, Seoul National University)
Publication Information
Korean Journal of Pharmacognosy / v.44, no.4, 2013 , pp. 332-335 More about this Journal
Abstract
Geographical classification of A. gigas was performed in the present study using UHPLC-DAD combined with multivariate data analysis techniques. Six active constituents were isolated from A. gigas; nodakenin, marmesin, decursinol, demethylsuberosin, decursin and decursinol angelate. One hundred sixty eight A. gigas samples were simultaneously determined using UHPLC-DAD. A principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) was used to classify the samples according to geographical origins (Korea and China). The origins of A. gigas from Korea and China were correctly classified by 81.6% and 93.8% using PLS-DA Y prediction. This result demonstrates the potential use of UHPLC-DAD combined with multivariate analysis techniques as an accurate and rapid method to classify A. gigas according to their geographical origin.
Keywords
Angelica gigas; UHPLC-DAD; PCA; PLS-DA;
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Times Cited By KSCI : 3  (Citation Analysis)
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