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作 者:范积平[1] 张柳瑛[1] 张贞良[1] 吴玉田[2]
机构地区:[1]中国人民解放军第421医院药剂科,广东广州510310 [2]第二军医大学药学院药物分析教研室,上海200433
出 处:《药学实践杂志》2005年第3期148-150,共3页Journal of Pharmaceutical Practice
基 金:军队医学科学技术研究"十五"重大项目(No:01Z064).
摘 要:目的:建立用近红外漫反射光谱鉴别不同产地大黄药材的新方法。方法:采集不同产地的大黄药材及其伪品的近红外漫反射光谱,分别用OPUS软件自带的聚类分析组件与第二军医大学药学院研发的近红外光谱-褶合变换-信息可视化-相似系数分析软件对其进行鉴别。结果:聚类分析的结果不甚理想,褶合变换分析得到正品与伪品大黄的相似系数<0.68,而正品大黄药材之间的相似系数均>0.81,同产地的药材之间的相似系数均>0.92。结论:近红外光谱法简便、快速,结合褶合变换分析得到的相似系数能够准确鉴别正品、伪品以及不同产地的大黄药材,所得分析结果与经典的形态分类学鉴别方法一致。Objective: To establish a near infrared diffuse reflectance spectroscopic (NIRDRS) method for the identification of Rheum officinale Baill from different production area. Method: The near infrared spectra of Rheum officinale Baill from different origin and Rh :franzenbachii munt were treated respectively by cluster analysis provided by OPUS software and convolution transform-visualization-similarity (CVS) analysis developed by SMMU. Result: Cluster analysis resulted in some confusion of the medicinal materials with each other, while the CVS analysis provided a better resolution. The similarity coefficients of the authentic and pseudo herbs were less than 0. 68. The coefficients within the authentic herbs were greater than 0. 81 , while those within the same production area were greater than 0. 92. Conclusion: The simple and fast NIRDRS combined with CVS analysis provided a new approach to identify Rheum officinale Baill from different origin and Rh: franzenbachii munt which coincided quite well with the traditional morphological classification of the traditional Chinese medicines.
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