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A modeling framework for estimating childrens residential exposure and dose to chlorpyrifos via dermal residue contact and nondietary ingestion.

机译:通过皮肤残留物接触和非饮食摄入估算儿童在毒死rif中的暴露量和剂量的建模框架。

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摘要

To help address the Food Quality Protection Act of 1996, a physically based probabilistic model has been developed to quantify and analyze dermal and nondietary ingestion exposure and dose to pesticides. The Residential Stochastic Human Exposure and Dose Simulation Model for Pesticides (Residential-SHEDS) simulates the exposures and doses of children contacting residues on surfaces in treated residences and on turf in treated residential yards. The simulations combine sequential time-location-activity information from children's diaries with microlevel videotaped activity data, probability distributions of measured surface residues and exposure factors, and pharmacokinetic rate constants. Model outputs include individual profiles and population statistics for daily dermal loading, mass in the blood compartment, ingested residue via nondietary objects, and mass of eliminated metabolite, as well as contributions from various routes, pathways, and media. To illustrate the capabilities of the model framework, we applied Residential-SHEDS to estimate children's residential exposure and dose to chlorpyrifos for 12 exposure scenarios: 2 age groups (0-4 and 5-9 years); 2 indoor pesticide application methods (broadcast and crack and crevice); and 3 postindoor application time periods (< 1, 1-7, and 8-30 days). Independent residential turf applications (liquid or granular) were included in each of these scenarios. Despite the current data limitations and model assumptions, the case study predicts exposure and dose estimates that compare well to measurements in the published literature, and provides insights to the relative importance of exposure scenarios and pathways.
机译:为了帮助解决1996年的《食品质量保护法》,已经开发了一种基于物理的概率模型,以量化和分析皮肤和非饮食性摄入农药的剂量和剂量。住宅用农药的人体随机暴露和剂量模拟模型(Residential-SHEDS)可以模拟接触残留物的儿童的暴露量和剂量,这些儿童接触处理过的住宅和处理过的住宅院子表面上的残留物。该模拟将来自儿童日记的顺序时间定位活动信息与微型录像活动数据,所测表面残留物和暴露因子的概率分布以及药代动力学速率常数结合在一起。模型输出包括每日皮肤负荷,血液隔间的质量,通过非饮食物体摄入的残留物以及消除的代谢物的质量以及各种途径,途径和介质的贡献的个体概况和种群统计数据。为了说明模型框架的功能,我们应用了“居住-SHEDS”来估计儿童在12种暴露情况下的毒死rif暴露量和剂量:2个年龄组(0-4岁和5-9岁); 2室内农药的施用方法(广播,裂缝和缝隙);和3个室内后应用时间段(<1、1-7和8-30天)。这些方案中的每一个都包括独立的住宅草皮应用(液体或颗粒状)。尽管当前存在数据局限性和模型假设,但该案例研究仍可以预测暴露量和剂量估计值,与已发表的文献中的测量值进行很好的比较,并可以洞悉暴露场景和途径的相对重要性。

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