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Classification of Aurantii Fructus samples by multivariate analysis

✍ Scribed by Ching-Ching Chuang; Wu-Che Wen; Shuenn-Jyi Sheu

Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
901 KB
Volume
30
Category
Article
ISSN
1615-9306

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✦ Synopsis

Abstract

Twenty commercial samples of Aurantii Fructus Immaturus (Poncitrus trifoliata) and 30 of Aurantii Fructus Maturus (Citrus aurantium and C. wilsonii) were collected from the Taiwan and China herbal markets. The contents of 12 constituents in these samples were determined by HPLC and were used to assess the potential relationships with their plant origins. Multivariate analysis including principal component analysis (PCA), cluster analysis (CA), and linear discriminant analysis (LDA) were used as classification procedures. Natural groupings of the samples divided into three sets successfully, 20 P. trifoliata, 15 C. aurantium, and 15 C. wilsonii, were observed by using PCA and CA. The application of LDA gave correct assignation percentages of 100.0% for all three groups.

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