首页 | 本学科首页   官方微博 | 高级检索  
     检索      

近红外漫反射光谱法和模式识别技术鉴别中药材产地
引用本文:刘沭华,张学工,周群,孙素琴.近红外漫反射光谱法和模式识别技术鉴别中药材产地[J].光谱学与光谱分析,2006,26(4):629-632.
作者姓名:刘沭华  张学工  周群  孙素琴
作者单位:1. 清华大学自动化系,北京,100084
2. 清华大学化学系,北京,100084
基金项目:国家自然科学基金 , 国家中医药管理局科研项目
摘    要:采用近红外漫反射光谱法获得了来自不同产地的中药材的红外光谱, 结合近邻法和多类支持向量机等模式识别技术, 对来自四个不同产地的269个白芷样本和六个不同产地的350个野生和栽培丹参样本进行了产域鉴别, 得到的交叉验证准确率分别达到99%和95%, 为中药材产地的快速无损鉴别探索了一条有效的途径.

关 键 词:近红外光谱  模式识别  中药材鉴别
文章编号:1000-0593(2006)04-0629-04
收稿时间:2004-07-08
修稿时间:2004-12-18

Determination of Geographical Origins of Chinese Medical Herbs by NIR and Pattern Recognition
LIU Shu-hua,ZHANG Xue-gong,ZHOU Qun,SUN Su-qin.Determination of Geographical Origins of Chinese Medical Herbs by NIR and Pattern Recognition[J].Spectroscopy and Spectral Analysis,2006,26(4):629-632.
Authors:LIU Shu-hua  ZHANG Xue-gong  ZHOU Qun  SUN Su-qin
Abstract:Geographical origin of medical herbs is an important factor of the quality of many traditional Chinese herbal medicines.The objective of the present study is to investigate whether NIR spectroscopy coupled with pattern recognition techniques could effectively discriminate geographical origins of medical herbs.Nearest neighbor method(NNM) and a SVM-based multiclass classifier were employed to discriminate 269 Angelicae Dahuricae Radix(ADR) samples from 4 provinces and 380 Salviae Miltiorrhizae Radix(SMR) samples from 6 provinces in China.The multiclass classifier achieves leave-one-out cross-validation accuracy of 99% for(ADR) and 95%(SMR).This classification scheme can be a highly accurate approach to the rapid and(nondestructive) discrimination of medical herbs of different origins.
Keywords:NIR  Pattern recognition  Chinese medical herb
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号