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赤子爱胜蚓体内的金属积累。模型预测与实地数据的比较。

Metal accumulation in the earthworm Lumbricus rubellus. Model predictions compared to field data.

作者信息

Veltman Karin, Huijbregts Mark A J, Vijver Martina G, Peijnenburg Willie J G M, Hobbelen Peter H F, Koolhaas Josee E, van Gestel Cornelis A M, van Vliet Petra C J, Hendriks A Jan

机构信息

Department of Environmental Science, Institute for Wetland and Water Research, Radboud University (RU) Nijmegen, P.O. Box 9010, Toernooiveld 1, 6500 GL Nijmegen, The Netherlands.

出版信息

Environ Pollut. 2007 Mar;146(2):428-36. doi: 10.1016/j.envpol.2006.06.033. Epub 2006 Aug 28.

Abstract

The mechanistic bioaccumulation model OMEGA (Optimal Modeling for Ecotoxicological Applications) is used to estimate accumulation of zinc (Zn), copper (Cu), cadmium (Cd) and lead (Pb) in the earthworm Lumbricus rubellus. Our validation to field accumulation data shows that the model accurately predicts internal cadmium concentrations. In addition, our results show that internal metal concentrations in the earthworm are less than linearly (slope<1) related to the total concentration in soil, while risk assessment procedures often assume the biota-soil accumulation factor (BSAF) to be constant. Although predicted internal concentrations of all metals are generally within a factor 5 compared to field data, incorporation of regulation in the model is necessary to improve predictability of the essential metals such as zinc and copper.

摘要

机械生物累积模型OMEGA(生态毒理学应用的优化模型)用于估计红正蚓(Lumbricus rubellus)体内锌(Zn)、铜(Cu)、镉(Cd)和铅(Pb)的累积情况。我们对野外累积数据的验证表明,该模型能准确预测体内镉浓度。此外,我们的结果表明,蚯蚓体内金属浓度与土壤中总浓度的关系并非线性(斜率<1),而风险评估程序通常假定生物群-土壤累积因子(BSAF)为常数。尽管所有金属的预测体内浓度与野外数据相比总体在5倍范围内,但在模型中纳入调节因素对于提高锌和铜等必需金属的预测能力是必要的。

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