纹党参与白条党参红外光谱的SIMCA聚类鉴别方法研究  

Identification of Wen Radix Codonopsis and Baitiao Radix Codonopsis by IR and SIMCA Clustering Analysis

作　　者：黄冬兰[1] 陈小康[1] 徐永群[1] 曹佳佳[2] 韩晓玉[2] 

机构地区：[1]韶关学院化学与环境工程学院,广东韶关512005 [2]广东工业大学轻工与化工学院,广东广州510090

出　　处：《分析测试学报》2009年第12期1440-1443,共4页Journal of Instrumental Analysis

基　　金：广东省科技计划资助项目(2006B35630010);韶关市科技计划资助项目(2007X06)

摘　　要：以纹党参和白条党参的红外光谱为聚类分析的对象，研究了红外光谱结合SIMCA聚类分析法对纹党参和白条党参进行识别与分类的可行性。选取400—2000cm^-1范围内的光谱，通过基线补偿（Offset）和散射校正（MSC）等预处理后，采用SIMCA聚类分析法建立识别模型。结果表明，所建模型对纹党参和白条党参的识别率分别达92％和96％，拒绝率均为100％。用盲样对所建模型进行了测试，测试结果全部正确。该法可实现对纹党参和白条党参的快速鉴别。With the fingerprint infrared spectrum of Wen Radix Codonopsis and Baitiao Radix Codonopsis as the object, the feasibility of identification and classification of Wen Radix Codonopsis and Baitiao Radix Codonopsis was studied by using FFIR coupled with SIMCA pattern recognition method. In the spectra region between 400 cm^- 1 and 2 000 cm^- 1, two models of Wen Radix Codonopsis and Baitiao Radix Codonopsis were built separately after the preprocessing by baseline correction （offset） and multiplicative scatter correction （MSC） with SIMCA pattern recognition method. The result showed that the recognition rate of Wen Radix Codonopsis and Baitiao Radix Codonopsis were 92% , 96% , and the rejection rate of them both reached up to 100%. The method was tested in the blind samples with satisfactory results. Therefore, Wen Codonopsis and Baitiao Codonopsis can be distin- guished rapidly by the combination of the fingerprint spectrum and the clustering analysis.

关 键 词：红外光谱法 党参 SIMCA聚类分析 无损鉴别 

分 类 号：O657.33[理学—分析化学] R282.5[理学—化学]