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Correlations between As in Earthworms' Coelomic Fluid and As Bioavailability in Highly Polluted Soils as Revealed by Combined Laboratory X-ray Techniques

机译:结合实验室X射线技术揭示的Earth腔积液中As与高污染土壤中As生物利用度的相关性

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Combined X-ray-based spectroscopy techniques were applied to investigate arsenic (As) bioaccumulation in earthworms (Eisenia andrei) exposed to six field-collected polluted soils (58-13 330 mg As kg(-1)). After 14 days of exposure to the arsenious soils, the As distribution in earthworms was examined by micro-X-ray fluorescence spectroscopy (mu XRF), after epoxy resin embedding and preparing thin sections. Similar to mu XRF data, XRF-computed tomography (XRF-CT) confirmed As accumulation in the coelom of intact earthworms. Therefore, total-reflection XRF was used to determine total As within both the whole earthworm's body (AsE) and coelomic fluid extracts (AsF). Bioaccumulation data (AsE and AsF) were thereafter evaluated in relation to total As concentration in soils (AsT) and to As mobile fraction in soils. A significant linear correlation (R-2 = 0.97) was found between AsE and AsF, indicating that the As sequestrated into the coelomic fluid may reflect the total body concentration. Therefore, we may conclude that the As concentration in the coelomic fluid can be used as an index of As availability. This paper demonstrates that by combining different laboratory X-ray analytical techniques, compartmentalization and bioavailability of potentially toxic elements can be visualized and quantified within indicator-living organisms, thus contributing to an improved risk assessment for contaminated soils.
机译:结合基于X射线的光谱技术,研究了暴露于六种现场收集的污染土壤(58-13 330 mg As kg(-1))的s(Eisenia andrei)中砷的生物富集。暴露于砷土壤中14天后,在环氧树脂包埋并准备薄切片之后,通过微X射线荧光光谱法(mu XRF)检查了in中的As分布。与mu XRF数据相似,XRF计算机断层扫描(XRF-CT)确认As在完整earth的体腔中蓄积。因此,使用全反射XRF来确定整个earth体内(AsE)和腔液提取物(AsF)中的总As。此后,根据土壤中总砷浓度(AsT)和土壤中As流动分数评估生物蓄积数据(AsE和AsF)。发现AsE和AsF之间存在显着的线性相关性(R-2 = 0.97),这表明螯合到腔积液中的As可能反映了人体的总浓度。因此,我们可以得出结论,腔流流体中的As浓度可以用作As可用性的指标。本文证明,通过结合不同的实验室X射线分析技术,可以在指示生命的生物体内可视化和量化潜在毒性元素的分隔和生物利用度,从而有助于改进对污染土壤的风险评估。

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