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不同产地和采收期的中药材电子鼻鉴别研究
引用本文:伍世元,骆德汉,邓炳荣,赵庆辉.不同产地和采收期的中药材电子鼻鉴别研究[J].传感技术学报,2011,24(1):10-13.
作者姓名:伍世元  骆德汉  邓炳荣  赵庆辉
作者单位:广东工业大学信息工程学院;
基金项目:2009年国家自然科学基金资助“基于仿生嗅觉的辛味中药材气味指纹图谱研究”(60971105)
摘    要:不同产地和采收期的同种中药材在感官上很难区分.提出一种在自然态下采用PEN3电子鼻鉴别不同产地和采收期中药材的方法.首先通过电子鼻获取样本的气味信息,综合气味信息各方面的特征组成一个特征集合,采用逆向反馈方法提取特征,获得最能区别样品的特征子集,利用PCA+LDA算法对样本进行分类,最后运用欧式距离、马氏距离对未知样本...

关 键 词:电子鼻  中药材  特征提取与选择  PCA+LDA算法  质量控制

Discrimination of Chinese herbal medicines from different growing areas and harvesting dates based on E-nose
WU Shiyuan,LUO Dehan,DENG Bingrong,ZHAO Qinghui.Discrimination of Chinese herbal medicines from different growing areas and harvesting dates based on E-nose[J].Journal of Transduction Technology,2011,24(1):10-13.
Authors:WU Shiyuan  LUO Dehan  DENG Bingrong  ZHAO Qinghui
Affiliation:WU Shiyuan,LUO Dehan,DENG Bingrong,ZHAO Qinghui(Faculty of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China)
Abstract:It is difficult to distinguish the same kind of Chinese herbal medicines(CHMs)with different growing areas and harvesting dates.An electronic nose(E-nose)PEN3 was used to discriminate the CHMs with different growing areas and harvesting dates under natural state.Firstly,odor information of samples was obtained by E-nose,and feature set was constituted by all aspects of the representative characteristics of odor information.Then,negative feedback was applied to extract features,and the most effective feature...
Keywords:electronic nose  Chinese herbal medicines  feature extraction and selection  PCA LDA algorithm  quality control  
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