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

道地山药红外指纹图谱和聚类分析的鉴别研究
引用本文:孙素琴,汤俊明,袁子民,白雁.道地山药红外指纹图谱和聚类分析的鉴别研究[J].光谱学与光谱分析,2003,23(2):258-261.
作者姓名:孙素琴  汤俊明  袁子民  白雁
作者单位:1. 清华大学化学系,北京,100084
2. 河南师范大学化学系,河南,新乡,453002
3. 河南中医学院,河南,郑州,450008
基金项目:河南省科委自然科学基金(0111023000)
摘    要:运用模式识别技术的SIMCA法对不同产地的45种山药样品进行了道地性与非道地性的模式识别方法学研究。凭借红外光谱具有的指纹特性,构建山药样品的红外指纹图谱,作为模式识别提取的特征数据,以随机分取的22个样品为训练集,剩余23个样品为试验集,该方法的正确识别率为70%,取得了满意的分类效果。

关 键 词:山药  红外指纹图谱  道地药材  模式识别
文章编号:1000-0593(2003)02-0258-04
修稿时间:2001年12月10

FTIR and Classification Study on Trueborn Tuber Dioscoreae Samples
SUN Su-qin,TANG Jun-ming,YUAN Zi-min and BAI Yan.FTIR and Classification Study on Trueborn Tuber Dioscoreae Samples[J].Spectroscopy and Spectral Analysis,2003,23(2):258-261.
Authors:SUN Su-qin  TANG Jun-ming  YUAN Zi-min and BAI Yan
Institution:Department of Chemistry, Tsinghua University, Beijing 100084, China.
Abstract:To identify the origin of tuber dioscoreae, 45 samples were studied by soft independent modeling of class analogy (SIMCA) in this paper. The combination of Fourier transform infrared spectroscopy (FTIR) with mathematic method was used to classify the trueborn and non-trueborn samples. The samples were chosen randomly as modeling group and predicting group. The correctness of classification was 70% . This approach was proved to be a reliable and practicable method for trueborn quality analysis of tuber dioscore-ae.
Keywords:Tuber dioscoreae  FTIR spectrosoopy  Trueborn samples  Pattern recognition  SIMCA
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