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基于某些金属含量的草药混合物分类研究——模式识别技术的应用。

Classification of herbal mixtures on the basis of some metals content using pattern recognition techniques.

机构信息

Department of Analytical Chemistry, Medical University of Gdansk, Gen. J. Hallera 107, Gdansk, Poland.

出版信息

J Trace Elem Med Biol. 2013 Apr;27(2):168-70. doi: 10.1016/j.jtemb.2012.07.008. Epub 2012 Sep 13.

Abstract

The purpose of this study was to investigate the content of trace elements in relation to the composition of domestic herbal mixtures. Cluster analysis, principal components analysis, and self-organizing maps were applied to identify existing relationships. The concentrations of Ni, Pb, Cd, Cr, Cu, Fe, Mn, Zn in 81 samples of herbal mixtures were determined with application of FAAS. The study showed that the levels of trace elements in some herbal mixtures of the same composition were comparable. The projection of herbal samples onto topological maps of adjustable sizes allowed recognition of the identical herbal preparations characterized by dissimilar levels of trace elements. The elements which played the most important role in recognition of the herbal samples were Mn, Ni, Zn and partly Cu, Fe and Cd.

摘要

本研究旨在调查与国产草药混合物成分有关的微量元素含量。应用聚类分析、主成分分析和自组织映射来识别现有关系。应用 FAAS 测定了 81 种草药混合物样品中 Ni、Pb、Cd、Cr、Cu、Fe、Mn、Zn 的浓度。研究表明,某些成分相同的草药混合物中的微量元素水平具有可比性。草药样本在可调大小的拓扑图上的投影可以识别具有相似微量元素水平的相同草药制剂。在识别草药样本方面发挥最重要作用的元素是 Mn、Ni、Zn,部分 Cu、Fe 和 Cd。

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