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《Chinese Journal of Analytical Chemistry》 2003-01
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The Application of Fingerprint Infrared Spectra and Clustering Analysis in the Discrimination of Geographical Origin of Paeonia lactiflora Pall

Xu Yongqun 1,3 , Huang Hao 1, Zhou Qun 1, Zhou Hongtao 2, Hu Shilin\+2, Sun Suqin *1 1(Department of Chemistry, Tsinghua University,Beijing 100084) 2(Chinese Academy of Traditional Chinese Medicine, Beijing 100700) 3(Department of Chemistry, Huanggang Teachers College, Huanggang 438000  
Based on the fingerprint infrared spectrum of paeonia lactiflora Pall, paeonia lactiflora Pall samples from 18 areas were clustered into 6 classes with principal component analysis. This result agrees with their geographical origins. The spectra of samples were similar with each other in the same class, which can be considered as the criterion of evaluating the pharmic quality of Paeonia lactiflora Pall. 45 geographical origins were predicted with radial basis function, and it was demonstrated to be a powerful artiticial neural net (ANN) method in discrimination. So a rapid, accurate, and operable method in the medicinal materials quality control was developed.
【Fund】: 国家中医药管理局科技重大项目 (国中医药科 2 0 0 1ZDZX0 1)
【CateGory Index】: R284
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