化学模式识别评价中药威灵仙质量的研究

STUDY OF CHEMICAL PATTERN RECOGNITION AS APPLIED TO QUALITY ASSESSMENT OF THE TRADITIONAL CHINESE MEDICINE "WEI LING XIAN"

本文按威灵仙所含化学成分对6个种、16个产地的21个样品进行了气相色谱分析;以抗炎药理活性作为评价质量的指标,将样品分为有抗炎作用和无抗炎作用两大类,一部分作训练集,一部分作试验集;用SIMCA选择特征并分类,再用PCA将选择的特征数据在二维平面上显示;根据分类和显示的结果,可以区分威灵仙样品有无抗炎作用即质量的优劣。

Chemical pattern recognition was applied to the quality assessment of the traditional Chinese medicine 'Wei Ling Xian' .The dried roots and rhizomes of Clematis chinensis Osbeck, Clematis hexapetala Pall, and Clematis manshurica Rupr, 21 samples of 'Wei Ling Xian' of six different species, which were collected from different regions of China, were extracted with methanol. The extracts were analyzed by gas chromatography and the GC data of 'Wei Ling Xian 'samples were correlated with their anti-inflammatory activity in pharmacologic experiments. Positive anti-inflammstory activity is regarded as the quality assurence of medicinal 'Wei Ling Xian'. According to the results, the samples were classified as two groups, one having and the other not having distinct anti- inflammatory activity at the 5% significance level. Some samples were used as the training set, while some as the test set. The SIMCA program was used for the extraction of features and classification, whereas the PCA program for displaying the data in a twodimensional space. The quality of unknown samples of 'Wei Ling Xian 'can be assessed as a result of the classification or the two- dimensional display.