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采用 ICP-MS 法测定 18 种元素估算湖水污染及其统计分析。

Estimation of the lake water pollution by determination of 18 elements using ICP-MS method and their statistical analysis.

机构信息

Department of Trace Elements Analysis by Spectroscopy Method, Faculty of Chemistry, Adam Mickiewicz University, Poznań, Poland.

出版信息

J Environ Sci Health A Tox Hazard Subst Environ Eng. 2010;45(3):348-54. doi: 10.1080/10934520903467873.

DOI:10.1080/10934520903467873
PMID:20390876
Abstract

Eighteen elements (Al, As, Ba, Ca, Cd, Co, Cr, Cu, K, Li, Mg, Mn, Na, Ni, Pb, Sb, Sr and Zn) were determined in water taken from Malta Lake. All the analyses were made using the inductively coupled plasma mass spectrometry method (ICP-MS). In our investigations we focused on the variability of the element content in water from a number of sampling stations and over different seasons. The obtained results were submitted to statistical analysis. First, the results were interpreted using the analysis of variance test (ANOVA). This has revealed differences in concentration for the majority of elements with regard to seasons. Then, cluster analysis (CA) and factor analysis (FA) were applied to explore similarities between sampling stations. Neither of these have demonstrated any grouping. Finally, factor analysis and principal component analysis (PCA), applied to show the grouping of elements, revealed how different sampling stations are related to each other.

摘要

从马耳他湖采集的水样中测定了十八种元素(Al、As、Ba、Ca、Cd、Co、Cr、Cu、K、Li、Mg、Mn、Na、Ni、Pb、Sb、Sr 和 Zn)。所有分析均采用电感耦合等离子体质谱法(ICP-MS)进行。在我们的研究中,我们专注于研究来自多个采样点和不同季节的水中元素含量的变化。所得结果提交给统计分析。首先,使用方差分析(ANOVA)对结果进行解释。这表明大多数元素的浓度因季节而异。然后,应用聚类分析(CA)和因子分析(FA)来探索采样点之间的相似性。这两种方法都没有显示出任何分组。最后,应用因子分析和主成分分析(PCA)来显示元素的分组,揭示了不同采样点之间的相互关系。

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