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利用激光烧蚀电感耦合等离子体质谱法测定农业土壤中的重金属含量及污染指数。

Determination of heavy metal content and pollution indices in the agricultural soils using laser ablation inductively coupled plasma mass spectrometry.

机构信息

Laser Laboratory, Physics Department, Faculty of Sciences, Tanta University, Tanta, Egypt.

National Institute of Laser Enhanced Sciences (NILES), Cairo University, Cairo, Egypt.

出版信息

Environ Sci Pollut Res Int. 2021 Jul;28(27):36039-36052. doi: 10.1007/s11356-021-13215-y. Epub 2021 Mar 8.

Abstract

In this study, we determined the concentrations of heavy metals in the agricultural soils of Kafr El-Zayat city using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). The LA-ICP-MS performance was firstly evaluated by analyzing appropriate reference materials and comparing the concentration values found to those of the reference values. LA-ICP-MS was then applied to examine the content of 21 elements (Mg, Al, Si, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Rb, Sr, Mo, Sn, Ba, Pb, Th, and U) in 16 collected agricultural soil samples from Egypt. The soil quality was assessed by calculating the contamination factor (CF), enrichment factor (EF), and the geo-accumulation index (I) of the measured heavy metals. The average concentrations of V, Cr, Co, Ni, and Cu were higher than the average worldwide background concentrations and exceeded the Canadian soil quality guidelines with values of 162.8, 113.3, 42.2, 88.1, and 70.6 μg/g, respectively. Multivariate analysis was applied to investigate the correlation and sources of heavy metals in agricultural soils. Cluster analysis indicated the clustering of heavy metals into three groups: Cr and Mo; Fe and Mn; and V, Ni, Co, Cu, Zn, and Pb. The results of principal component analysis (PCA) agreed with those of the cluster analysis and yielded three components that explained 81.13% of the total variance. The contamination factor (CF) of soils from all sampling sites showed moderate contamination.

摘要

本研究采用激光烧蚀电感耦合等离子体质谱法(LA-ICP-MS)测定了卡夫尔宰亚特市农业土壤中的重金属浓度。首先通过分析合适的参考物质并将所测浓度值与参考值进行比较,对 LA-ICP-MS 的性能进行了评估。然后,应用 LA-ICP-MS 对从埃及采集的 16 个农业土壤样本中的 21 种元素(Mg、Al、Si、Ca、Ti、V、Cr、Mn、Fe、Co、Ni、Cu、Rb、Sr、Mo、Sn、Ba、Pb、Th 和 U)的含量进行了检测。通过计算污染因子(CF)、富集因子(EF)和所测重金属的地积累指数(I)来评估土壤质量。V、Cr、Co、Ni 和 Cu 的平均浓度高于全球背景平均值,超过了加拿大土壤质量指南,分别为 162.8、113.3、42.2、88.1 和 70.6μg/g。应用多元统计分析研究了农业土壤中重金属的相关性和来源。聚类分析表明,重金属可分为三组:Cr 和 Mo;Fe 和 Mn;以及 V、Ni、Co、Cu、Zn 和 Pb。主成分分析(PCA)的结果与聚类分析一致,得出了三个解释总方差 81.13%的成分。所有采样点土壤的污染因子(CF)均显示出中度污染。

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