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孔隙水中的碳酸盐和磷酸盐可预测土壤中砷酸盐的毒性。

Pore-Water Carbonate and Phosphate As Predictors of Arsenate Toxicity in Soil.

机构信息

Global Centre for Environmental Research (GCER), Faculty of Science and Information Technology, The University of Newcastle , Callaghan, New South Wales 2308, Australia.

Cooperative Research Centre for Contamination Assessment and Remediation of the Environment(CRC CARE), University of South Australia , Mawson Lakes, South Australia 5095, Australia.

出版信息

Environ Sci Technol. 2016 Dec 6;50(23):13062-13069. doi: 10.1021/acs.est.6b03195. Epub 2016 Nov 16.

Abstract

Phytotoxicity of inorganic contaminants is influenced by the presence of competing ions at the site of uptake. In this study, interaction of soil pore-water constituents with arsenate toxicity was investigated in cucumber (Cucumis sativa L) using 10 contrasting soils. Arsenate phytotoxicity was shown to be related to soluble carbonate and phosphate. The data indicated that dissolved phosphate and carbonate had an antagonistic impact on arsenate toxicity to cucumber. To predict arsenate phytotoxicity in soils with a diverse range of soil solution properties, both carbonate and phosphate were required. The relationship between arsenic and pore-water toxicity parameters was established initially using multiple regression. In addition, based on the relationship with carbonate and phosphate we successively applied a terrestrial biotic ligand-like model (BLM) including carbonate and phosphate. Estimated effective concentrations from the BLM-like parametrization were strongly correlated to measured arsenate values in pore-water (R = 0.76, P < 0.001). The data indicates that an ion interaction model similar to the BLM for arsenate is possible, potentially improving current risk assessments at arsenic and co-contaminated soils.

摘要

无机污染物的植物毒性受吸收部位竞争离子的存在影响。在这项研究中,使用 10 种对比土壤研究了土壤孔隙水中成分与砷酸盐毒性之间的相互作用。结果表明,砷酸盐的植物毒性与可溶性碳酸盐和磷酸盐有关。数据表明,溶解的磷酸盐和碳酸盐对黄瓜的砷酸盐毒性有拮抗作用。为了预测具有不同土壤溶液特性的土壤中的砷酸盐植物毒性,需要同时考虑碳酸盐和磷酸盐。最初使用多元回归建立了砷与孔隙水毒性参数之间的关系。此外,基于与碳酸盐和磷酸盐的关系,我们依次应用了包括碳酸盐和磷酸盐的陆地生物配体样模型 (BLM)。BLM 样参数化估计的有效浓度与孔隙水中测量的砷酸盐值密切相关(R = 0.76,P < 0.001)。这些数据表明,类似于 BLM 的针对砷酸盐的离子相互作用模型是可能的,这可能会改善当前对砷和共存污染物土壤的风险评估。

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