Premium
Classification of Aurantii Fructus samples by multivariate analysis
Author(s) -
Chuang ChingChing,
Wen WuChe,
Sheu ShuennJyi
Publication year - 2007
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.200700016
Subject(s) - principal component analysis , linear discriminant analysis , chromatography , multivariate statistics , multivariate analysis , chemistry , traditional medicine , mathematics , statistics , medicine
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.