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土壤中三价砷的吸附、氧化及生物可利用性

Adsorption, oxidation, and bioaccessibility of As(III) in soils.

作者信息

Yang Jae-Kyu, Barnett Mark O, Zhuang Jinling, Fendorf Scott E, Jardine Philip M

机构信息

Department of Civil Engineering, 238 Harbert Engineering Center, Auburn University, Auburn, Alabama 36849, USA.

出版信息

Environ Sci Technol. 2005 Sep 15;39(18):7102-10. doi: 10.1021/es0481474.

Abstract

At As-contaminated sites, where the ingestion of soil by children is typically the critical human-health exposure pathway, information on the bioavailability of soil-bound As is often limited. The influence of various soil physical and chemical properties (iron and manganese oxides, pH, cation exchange capacity, total inorganic and organic carbon, and particle size) on As(III) adsorption, sequestration, bioaccessibility (as a surrogate for oral bioavailability), and oxidation was investigated in 36 well-characterized soils by use of a physiologically based extraction test (PBET). These results were compared to an earlier published study with As(V) on the same set of soils. The properties of the soils were able to explain >80% of the variability in the adsorption and sequestration (as measured by the reduction in bioaccessibility over time) of As(III) in these soils. The initial bioaccessibility of As(III) was significantly higher than the initial bioaccessibility of As(V) on the same set of soils. However, over a 6-month period of aerobic aging, a significant portion of the solid-phase As(III) on these soils was oxidized to As(V), decreasing its bioaccessibility markedly. A multivariable linear regression model previously developed to predict the steady-state bioaccessibility of As(V) in soils was able to predict the bioaccessibility in As(III)-spiked soils within a root-mean-square error (RMSE) of 16.8%. Generally, soils having a higher iron oxide content and lower soil pH exhibited lower bioaccessibility. This model was also able to predict the in vivo bioavailability of As in contaminated soils previously used in an independent juvenile swine dosing trial within an RMSE of 15.5%, providing a greatly improved yet conservative estimate of bioavailability relative to the typical default assumption of 100%. However, the model was not able to accurately predict the bioavailability of As in a different set of contaminated soils previously used in an independent Cebus monkey dosing trial, consistently overpredicting the bioavailability, resulting in an RMSE of 42.7%. This model can be used to provide an initial estimate of As bioavailability in soil to aid in screening sites and justifying expensive site-specific animal feeding studies. Further, as the model is based on major soil properties, the resulting estimates are valid as long as the major soil properties do not change, thus providing some confidence in the long-term applicability of the estimates.

摘要

在砷污染场地,儿童摄入土壤通常是关键的人体健康暴露途径,而关于土壤中砷的生物有效性的信息往往有限。通过使用基于生理学的提取试验(PBET),研究了36种特性明确的土壤中各种土壤物理和化学性质(铁和锰氧化物、pH值、阳离子交换容量、总无机碳和有机碳以及粒径)对As(III)吸附、固存、生物可及性(作为口服生物有效性的替代指标)和氧化的影响。将这些结果与之前发表的关于同一组土壤中As(V)的研究进行了比较。土壤性质能够解释这些土壤中As(III)吸附和固存(通过生物可及性随时间的降低来衡量)变异性的80%以上。在同一组土壤上,As(III)的初始生物可及性显著高于As(V)的初始生物可及性。然而,在6个月的有氧老化期内,这些土壤上固相As(III)的很大一部分被氧化为As(V),其生物可及性显著降低。先前开发的用于预测土壤中As(V)稳态生物可及性的多变量线性回归模型能够在均方根误差(RMSE)为16.8%的范围内预测添加As(III)的土壤中的生物可及性。一般来说,氧化铁含量较高且土壤pH值较低的土壤生物可及性较低。该模型还能够在均方根误差为15.5%的范围内预测先前在一项独立的幼年猪给药试验中使用的受污染土壤中砷的体内生物有效性,相对于100%的典型默认假设,提供了大大改进但保守的生物有效性估计。然而,该模型无法准确预测先前在一项独立的卷尾猴给药试验中使用的另一组受污染土壤中砷的生物有效性,一直高估生物有效性,导致均方根误差为42.7%。该模型可用于提供土壤中砷生物有效性的初步估计,以帮助筛选场地并证明进行昂贵的特定场地动物喂养研究的合理性。此外,由于该模型基于主要土壤性质,只要主要土壤性质不变,所得估计值就是有效的,从而为估计值的长期适用性提供了一定的可信度。

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