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建立邻苯二甲酸酯和多氯二苯并对二恶英和二苯并呋喃向农产品环境转移的模型:EN-forc 模型。

Modelling the environmental transfer of phthalates and polychlorinated dibenzo-p-dioxins and dibenzofurans into agricultural products: the EN-forc model.

机构信息

Flemish Institute for Technological Research (VITO), Boeretang 200, B-2400 Mol, Belgium; Ghent University, Department of Public Health, Faculty of Medicine and Health Sciences, De Pintelaan 185, B-9000 Ghent, Belgium.

Flemish Institute for Technological Research (VITO), Boeretang 200, B-2400 Mol, Belgium.

出版信息

Environ Res. 2014 Aug;133:282-93. doi: 10.1016/j.envres.2014.06.005. Epub 2014 Jun 28.

Abstract

This study aimed to predict the occurrence of four phthalates, two polychlorinated dibenzo-p-dioxins and two polychlorinated dibenzofurans in environmental and agricultural media from observed concentrations in air, sludge, manure and concentrate. For the environmental and agricultural fate modelling, the newly developed multimedia model "EN-forc" (ENvironmental Food transfer model for ORganic Contaminants) was used. To validate EN-forc calculations, the predicted concentrations of the considered chemicals in soil, groundwater, drinking water, plants and animal products were compared with both observed and modelled concentrations available in the literature. For the majority of the considered matrices, predicted phthalate and dioxin levels differed one order of magnitude at most with observed concentrations. Unfortunately, the transfer models implemented in EN-forc lacked power to predict levels of some phthalates and dioxins in pasture, root crops and/or tubers. Concentrations of phthalates and dioxins in offal could not be predicted due to the absence of suitable models that have an acceptable level of complexity to implement in EN-forc. For this type of food products, further research is highly encouraged. In a next step, the modelling framework of EN-forc will be extended in order to be able to predict human dietary exposure to organic chemicals like phthalates and dioxins.

摘要

本研究旨在通过空气中、污泥、粪便和浓缩物中观察到的浓度,预测环境和农业介质中四种邻苯二甲酸酯、两种多氯二苯并对二恶英和两种多氯二苯并呋喃的出现。对于环境和农业命运建模,使用了新开发的多介质模型“EN-forc”(用于有机污染物的环境食品传递模型)。为了验证 EN-forc 计算,将考虑的化学物质在土壤、地下水、饮用水、植物和动物产品中的预测浓度与文献中可用的观察和模拟浓度进行了比较。对于大多数考虑的基质,预测的邻苯二甲酸酯和二恶英水平与观察到的浓度最多相差一个数量级。不幸的是,EN-forc 中实施的迁移模型缺乏预测某些邻苯二甲酸酯和二恶英在牧场、根茎作物和/或块茎中的水平的能力。由于缺乏可接受的复杂性水平,无法在 EN-forc 中实施的合适模型,因此无法预测动物内脏中的邻苯二甲酸酯和二恶英浓度。对于这类食品,强烈鼓励进一步研究。下一步,将扩展 EN-forc 的建模框架,以便能够预测人类对邻苯二甲酸酯和二恶英等有机化学物质的饮食暴露。

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