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首页> 外文期刊>Journal of Environmental Science and Health >A Study of the relationship between arsenic bioaccessibility and its solid-phase distribution in soils from Wellingborough, UK
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A Study of the relationship between arsenic bioaccessibility and its solid-phase distribution in soils from Wellingborough, UK

机译:英国韦灵伯勒地区土壤中砷生物可利用性与其固相分布之间关系的研究

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摘要

Twenty samples from soils developed over the Northampton Sand ironstone formation were collected from, in and around the town of Wellingborough, Northamptonshire, UK. The total arsenic (As) content ranged from ca. 20-100 mg kg~(-1) and the bioaccessible As content, as measured by a physiologically based in vitro extraction test, ranged from 1 to 6 mg kg~(-1). A chemometric algorithm for mixture resolution, when applied to total element and total organic carbon concentration of the soils, was able to identify chemically distinct soil constituents and their associated As content. Multiple linear regression (MLR) modelling, using the As content of the intrinsic soil constituents and their first order interactions as independent variables, was able to predict the bioaccessible As content of the soils (R~2 = 0.85) with an uncertainty of 1.33 mg kg~(-1). Although the MLR model showed that the interactions between the soil constituents were the key factors controlling the bioaccessible fraction in each soil most of the total As was found to be bound to an Fe oxide soil constituent. The model predictions shown are currently only valid for the geological and soil chemical setting investigated here, extrapolation to other geological settings would require additional investigations.
机译:从英国北安普敦郡韦灵伯勒镇及其周围地区及其周围收集了二十份来自北安普敦沙铁矿层上发育的土壤的样品。总砷(As)含量约为20-100 mg kg〜(-1),通过生理学的体外提取试验测得的可生物吸收的As含量范围为1-6 mg kg〜(-1)。当将化学计量学算法用于混合分解时,将其应用于土壤的总元素和总有机碳浓度,可以识别化学性质不同的土壤成分及其相关的As含量。多元线性回归(MLR)模型以土壤中固有成分的砷含量及其一阶相互作用作为自变量,能够预测土壤的生物可利用性砷含量(R〜2 = 0.85),不确定度为1.33 mg千克〜(-1)。尽管MLR模型表明土壤成分之间的相互作用是控制每种土壤中生物可及部分的关键因素,但总砷中的大多数被发现与Fe氧化物土壤成分结合。所示的模型预测目前仅适用于此处调查的地质和土壤化学环境,要外推至其他地质环境则需要进行其他调查。

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