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Application of chemometrics methods for the estimation of heavy metals contamination in river sediments

机译:化学计量学方法在估算河流沉积物中重金属污染中的应用

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The concentration and speciation of six heavy metals in sediments of eight sampling sites of Maine River were investigated. The metals, namely Cd, Cu, Co, Ni, Mn and Pb were considered. By using sequential extraction(SE), the total metals were divided into five fractions: exchangeable, carbonate bound, iron/manganese oxide bound, sulfides and organic matter fraction and residual fraction. A multivariate statistical approach (principal component analysis, PCA) was used to evaluate the contamination of heavy metals by the total levels and chemical forms, respectively. The results showed that the total metals concentration(TMC) could not provide sufficient and accurate information because the mobility, bioavailability and toxicity of metals depend not only on their total concentration but also on the physicochemical form in which they occur.
机译:研究了缅因河八个采样点沉积物中六种重金属的浓度和形态。考虑了金属,即Cd,Cu,Co,Ni,Mn和Pb。通过顺序萃取(SE),将总金属分为五个部分:可交换部分,碳酸盐结合部分,铁/锰氧化物结合部分,硫化物和有机物部分以及残留部分。采用多元统计方法(主要成分分析,PCA)分别通过总含量和化学形式评估重金属的污染。结果表明,总金属浓度(TMC)不能提供足够准确的信息,因为金属的迁移率,生物利用度和毒性不仅取决于其总浓度,还取决于它们发生的物理化学形式。

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