應用多變量分析於市售防己藥材之分類檢定   全文下載

Classification of Fangchi Radix Samples by Multivariate Analysis

本研究從中國及台灣中藥市場收集37 批市售防己（Fangchi radix）藥材，包括日防己（Sinomenium acutum）、粉防己（Stephania tetrandra）、廣防己（Aristolochia fangchi）和木防己（Cocculus orbiculatus）等植物。利用高效液相層析儀分析防己樣品中的18 個主要成分，以研究各成分含量與植物品種間的關係。本研究採用的多變量分析包括主成分分析（PCA）、群聚分析（CA）以及線性區別分析（LDA）。結果顯示，以PCA 和CA 進行自然分類，可以成功將樣本群分為四組：5 批樣本屬於日防己 （S. acutum）、11 批樣本屬於粉防己（S. tetrandra）、15 批樣本屬於廣防己（A. fangchi）、6 批樣本屬於木防己（C. orbiculatus）。應用LDA 方法進行檢定，四組的歸類正確性皆為100.0%。

A total of 37 commercial samples of Fangchi Radix, including Sinomenium acutum, Stephania tetrandra, Aristolochia fangchi, and Cocculus orbiculatus, were collected from herb markets in Taiwan and China. The contents of 18 constituents in these samples were analyzed by high-performance liquid chromatography and were used to assess the potential relationships with their plant origins. A multivariate analysis, including a principal component analysis (PCA), cluster analysis (CA), and linear discriminant analysis (LDA) were used as the classification strategies. The successful natural groupings of the samples into 4 sets, namely, 5 S. acutum, 11 S. tetrandra, 15 A. fangchi, and 6 C. orbiculatus, were achieved by PCA and CA. The application of LDA gave the correct assignation percentages of 100.0% for all 4 groups.