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基于ICP-MS对不同产地藠头无机元素的主成分分析和聚类分析 被引量:14

Principal Component Analysis and Cluster Analysis of Inorganic Elements in Allium chinense from Different Areas Based on ICP-MS
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摘要 目的:研究藠头中无机元素的含量分布特征,为中药材薤白的品质评价和质量控制提供实验依据。方法:采用电感耦合等离子体质谱(ICP-MS)法,对10个藠头样品中14个无机元素的含量进行定量分析,建立其无机元素指纹谱,并采用SPSS聚类分析和主成分分析对其特征元素进行评价。结果:主成分分析选出4个主因子,得出藠头的特征元素为Mn,Cu,Zn,Fe,Ni,Se,Cr;聚类分析将10个藠头样品聚为2大类,赤、白藠头在品质上存在一定的差异性,不同采集地的藠头体内无机元素的含量与其生长环境存在着一定的关系。结论:定量分析法可用于藠头无机元素的含量测定;主成分分析法和聚类分析法是藠头无机元素含量分析的有效方法。 Objective:To study the distribution character of inorganic elements content of Allium chinense and to provide valuable experimental evidence for the quality evaluation and control of Chinese herbal medicines Allii macrostemi bulbus.Method: The content of 14 inorganic elements in ten samples of A.chinense was determined by the means of ICP-MS with the result that fingerprints of inorganic elements were established and the characteristic elements were evaluated by SPSS cluster analysis and principal component analysis.Result: Four principal components were extracted from the original data.The principal component analysis results show that Mn,Cu,Zn,Fe,Ni,Se and Cr may be the characteristic elements in A.chinense;the results of cluster analysis showed that ten samples could be clustered reasonably into two groups,and there were some differences between red bulb and white bulb of A.chinense.And the content of inorganic elements of A.chinense is related to the ecological environment in some degree.Conclusion: The overall quantitative similarity method could be used for the determination of the inorganic elements in A.chinense;The principal component analysis and cluster analysis could be perfectly applied in data processing in inorganic elements.
出处 《中国实验方剂学杂志》 CAS 北大核心 2011年第17期68-72,共5页 Chinese Journal of Experimental Traditional Medical Formulae
基金 辽宁省教育厅项目(2009A498) 辽宁中医药大学大学生科研创新基金项目(201002)
关键词 藠头 电感耦合等离子体质谱 无机元素 定量分析法 主成分分析 聚类分析 Allium chinense ICP-MS inorganic elements quantitative analysis principal component analysis cluster analysis
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