【作者】 汪萌； 闫永红； 邹慧琴； 刘勇； 彭莲； 熊吟； 陶欧； 颜素容； Rudolf Bauer； 李佳慧；

【Author】 WANG Meng;YAN Yong-hong;ZOU Hui-qin;LIU Yong;PENG Lian;XIONG Yin;TAO Ou;YAN Su-rong;Rudolf Bauer;LI Jia-hui;Beijing University of Chinese Medicine;Institute of Pharmaceutical Science,University of Graz;

【机构】 北京中医药大学； 奥地利格拉茨大学药物研究所；

【摘要】 目的:为菊科八味草药提供一种快速、准确的鉴定方法。方法:以菊科常用八味草药为研究对象,采用电子鼻技术建立其气味指纹图谱,结合数据挖掘技术(主成分分析法)建立判别模型。结果:基于气味指纹图谱建立的PCA判别模型,可用于菊科八味草药的鉴别。结论:电子鼻结合主成分分析法可望成为一种鉴别菊科草药的分析手段。更多还原

【Abstract】 Objective:To provide a rapid and reliable method for identification of eight kinds of herbal medicines from Asteraceae family.Methods:Eight different kinds of plants from Asteraceae family were collected and electronic nose(E-nose)was applied to obtain their odor fingerprints.Meanwhile,one kind of data mining technologies(principal component analysis,PCA) was employed to establish the discriminative model.Results:These eight kinds of herbal medicines from Asteraceae family could be classified in this computing model based on their odor fingerprints and PCA.Conclusion:Coupled with PCA enables E-nose as a potential method for identification of herbal medicines from Asteraceae family.更多还原