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室内中性有机化学物质释放的近场人体暴露筛选评估模型。

Model for screening-level assessment of near-field human exposure to neutral organic chemicals released indoors.

机构信息

Department of Physical and Environmental Sciences, University of Toronto Scarborough , Toronto, Ontario M1C 1A4, Canada.

出版信息

Environ Sci Technol. 2014 Oct 21;48(20):12312-9. doi: 10.1021/es502718k. Epub 2014 Oct 9.

Abstract

Screening organic chemicals for hazard and risk to human health requires near-field human exposure models that can be readily parametrized with available data. The integration of a model of human exposure, uptake, and bioaccumulation into an indoor mass balance model provides a quantitative framework linking emissions in indoor environments with human intake rates (iRs), intake fractions (iFs) and steady-state concentrations in humans (C) through consideration of dermal permeation, inhalation, and nondietary ingestion exposure pathways. Parameterized based on representative indoor and adult human characteristics, the model is applied here to 40 chemicals of relevance in the context of human exposure assessment. Intake fractions and human concentrations (C(U)) calculated with the model based on a unit emission rate to air for these 40 chemicals span 2 and 5 orders of magnitude, respectively. Differences in priority ranking based on either iF or C(U) can be attributed to the absorption, biotransformation and elimination processes within the human body. The model is further applied to a large data set of hypothetical chemicals representative of many in-use chemicals to show how the dominant exposure pathways, iF and C(U) change as a function of chemical properties and to illustrate the capacity of the model for high-throughput screening. These simulations provide hypotheses for the combination of chemical properties that may result in high exposure and internal dose. The model is further exploited to highlight the role human contaminant uptake plays in the overall fate of certain chemicals indoors and consequently human exposure.

摘要

对人体健康有危害和风险的有机化学物质的筛选需要近场人体暴露模型,该模型可以用现有数据进行方便地参数化。将人体暴露、吸收和生物累积模型整合到室内质量平衡模型中,通过考虑皮肤渗透、吸入和非饮食摄入暴露途径,为室内环境中的排放与人体摄入率(IR)、摄入分数(IF)和人体稳态浓度(C)之间建立了一个定量框架。该模型基于有代表性的室内和成人人体特征进行参数化,本文应用该模型对 40 种在人体暴露评估背景下具有相关性的化学物质进行了评估。基于这些 40 种化学物质的单位空气排放率,用模型计算的摄入分数和人体浓度(CU)分别跨越 2 个和 5 个数量级。基于 IF 或 CU 进行的优先级排序差异可归因于人体内部的吸收、生物转化和消除过程。该模型进一步应用于一组具有代表性的、大量假想化学物质的数据集,以展示主导暴露途径 IF 和 CU 如何随化学性质的变化而变化,并说明该模型进行高通量筛选的能力。这些模拟为可能导致高暴露和内部剂量的化学性质组合提供了假设。该模型进一步被用来强调人体污染物吸收在某些化学物质在室内的整体归宿以及人体暴露中的作用。

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