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首页> 外文期刊>Environmental toxicology and chemistry >A food chain model to predict the levels of lipophilic organic contaminants in humans.
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A food chain model to predict the levels of lipophilic organic contaminants in humans.

机译:预测人类中亲脂性有机污染物水平的食物链模型。

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摘要

A fugacity-based, nonsteady state, mechanistic model called ACC-HUMAN was developed to describe bioaccumulation of lipophilic organic pollutants from air, water, and soil to humans. The physical environment was linked via a marine and an agricultural food chain model to a human bioaccumulation model. Contaminant uptake via the primary dietary sources of persistent lipophilic contaminants in industrialized countries was addressed, namely fish, dairy products, and beef. In addition, uptake from air and water was considered, allowing the model also to treat less lipophilic compounds. To evaluate the model, the food chain characteristics were parameterized for southern Sweden and historical scenarios of polychlorinated biphenyl (PCB) concentrations in air, water, and soil in this region were constructed from published data. The resulting model predictions of PCB concentrations in fish, milk, beef, and human tissue agreed well with measured concentrations from Swedish monitoring programs. This suggests thatACC-HUMAN is a useful tool for predicting human exposure to bioaccumulative organic compounds. It can be linked easily to existing multimedia fate and transport models.
机译:建立了基于逸度的非稳态机械模型ACC-HUMAN,以描述从空气,水和土壤到人类的亲脂性有机污染物的生物蓄积。物理环境通过海洋和农业食物链模型与人类生物积累模型相关联。解决了工业化国家通过主要饮食来源持久性亲脂性污染物吸收的污染物,即鱼类,奶制品和牛肉。另外,考虑了从空气和水中的吸收,使该模型还可以处理较少的亲脂性化合物。为了评估该模型,对瑞典南部的食物链特征进行了参数化,并根据已发布的数据构建了该地区空气,水和土壤中多氯联苯(PCB)浓度的历史情景。鱼,牛奶,牛肉和人体组织中PCB浓度的模型预测结果与瑞典监测计划测得的浓度非常吻合。这表明ACC-HUMAN是预测人体暴露于生物蓄积性有机化合物的有用工具。它可以轻松链接到现有的多媒体命运和传输模型。

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