聚类分析法在野生赤芍快速鉴别中的应用研究  

Rapid and Undamaged Determination of Chishao by Fourier-transform Infrared Spectroscopy and Clustering Analysis

作　　者：董彬 孙素琴[2] 秦竹[2] 周红涛[3] 胡世林[3] 

机构地区：[1]北京大学数学系,北京100871 [2]清华大学化学系,北京100084 [3]中国中医研究院中药研究所,北京100700

出　　处：《计算机与应用化学》2002年第1期89-92,共4页Computers and Applied Chemistry

摘　　要：以赤芍的红外指纹图谱作为聚类分析的对象,在建立主成分模型的基础上,采用SIMCA聚类分析法对赤芍进行了快速的分类研究。结果表明:由于野生与栽培赤芍的红外指纹图谱变异度较大,其光谱聚类的结果较理想,盲样检测的正确率可达90％。On the basis of building a model of main components and with the fingerprint infrared spectrum as the object, Chishao was rapidly classified and closely studied by using the method of clustering analysis. Results: Because of the greater difference between the spectra of wild Chishao and those of the cultivated, the outcome of the clustering is ideal. When testing with the blind samples (which were picked out from the chosen samples) the accuracy of clustering reaches up to 90% .

关 键 词：红外光谱 聚类分析法 赤芍 无损鉴别 盲样 中药材 分析 

分 类 号：R284.1[医药卫生—中药学] R282.710.3[医药卫生—中医学]