裂解—高分辨气相色谱—模式识别技术在中药牡丹皮分析中的应用  

CLASSIFICATION OF CHINESE TRADITIONAL MEDICINE, MOUTAN (PAEONIA SUFFRUTICOSA ANDR.) CORTEX BY MEANS OF PYROLYSIS-HIGH RESOLUTION GAS CHROMATOGRAPHY/PATTERN RECOGNITION

作　　者：房杏春[1] 相秉仁[1] 安登魁[1] 

机构地区：[1]中国药科大学药物分析研究室,南京210009

出　　处：《药学学报》1990年第6期462-468,共7页Acta Pharmaceutica Sinica

摘　　要：本文应用裂解-高分辨色气相色谱-模式识别技术分析了不同地区的牡丹皮。将牡丹皮按地区分为三类,应用判别分析,PRIMA,SIMCA法分析了三个地区的38个样本(其中训练集25个样本,试验集13个样本),分类结果表明识别能力达到90%%以上。此外任选一地区购得的牡丹皮进行了分类,结果与预期情况一致。本法操作简便、快速,可靠,预期本法可能成为中药鉴别分析中有希望的方法。Thirty-eight samples of Moutan (Paeonia suffruticosa Andr. )Cortex Obtained from three different regions (Southwest, East and Middle China)and two sam ples of unknown region were subjected to analysis with pyrolysis-high resolution gas chromatography (Py-HRGC). Each sample was thus characterized by thepeak area of 41 peaks in each Py-HRGC profile. Discriminant analysis (DA), PRIMA and SIMCA.pattern recognition were used to recognize the 40×41data matrix These data analysis gave satisfactory results (DA, 100% correct; PRIMA, 100%correct, 92.2%unique; SIMCA, 92.2% correct, 79% unique). The correct classification of Moutan Cortex for the unknown territory was obtained by three pattern recognition methods. The results showed that Py-HRGC/pattern recognition technique might be a potential tool for the identification of Chinese traditional medicine.

关 键 词：杜丹皮 气相色谱 模式识别 

分 类 号：R282.710.3[医药卫生—中药学]