高维数据的计算模型对菊科八味草药的气味判别(英文)  

Computing model of high dimensional data for odor classif ication of eight different kinds of herbal medicines from Asteraceae family

作　　者：汪萌[1] 闫永红[1] 邹慧琴[1] 刘勇[1] 彭莲[1] 熊吟[1] 陶欧[1] 颜素容[1] Rudolf Bauer 李佳慧[1] 

机构地区：[1]北京中医药大学,北京100029 [2]奥地利格拉茨大学药物研究所,格拉茨8010

出　　处：《中华中医药杂志》2014年第5期1726-1729,共4页China Journal of Traditional Chinese Medicine and Pharmacy

基　　金：Independent Subject of Beijiing University of Chinese Medicine(No.502/0100604052)~~

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。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.

关 键 词：菊科 草药 气味指纹图谱 计算模型 电子鼻 主成分分析 

分 类 号：R282[医药卫生—中药学]