中药龙胆质量的化学模式识别

对7个种的38个龙胆样品进行了化学模式识别:按中国药典的规定将诸样品分为正品和非正品两大类,随机选取一部分正品和非正品样品作训练集,另一部分样品作试验集;对诸样品的甲醇提取液进行了HPLC分析;用SIMCA法对色谱峰进行特征选择,将代表诸样品特征的点即“星”显示在半圆形极坐标上构成星区图;根据“星”所属的星区和所走的路径,即可评价诸龙胆样品的质量。化学模式识别的结果与植物形态学鉴定的结果一致,而且弥补了后者的不足。

QUALITY ASSESSMENT OF THE TRADITIONAL CHINESE MEDICINE GENTIAN BY CHEMICAL PATTERN RECOGNITION

Methanol extracts of 38 samples of the treditional Chinese medidciegentian of different origin were prepared. Data reflecting thtir chemical constituentsas a whole were obtained by HPLC. The Chinese Pharmacopoeia (1990) specifiedfour species of the getiana as authentic. Some samples from the authentic andnon-authentic gentian were used as the training set of pattern recognition. Chemicalfeatures of the gentian samples were selected from among the matching data of HPLC bythe SIMCA program.Finally, the selected chemical features were displayed as stars in asemicircular polar coordinate system, resulting in a constellation graph. Quality assess-ment of the traditional Chinese medicine gentian was accomplished by recognizing the posi-tion and path of the stars in the constellation graph. The clusters of the gentian samples inthe constellation graph obtained from the HPLC features were consistent with and comple-ment to their plant taxonomy. The vivid graph demonstrated that pattern recognition viachemical constellation promisses well a reliable method for assessing traditional Chinesemedicines.