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暴露优先级排序():一种筛选级高通量化学物质优先级排序工具。

Exposure Prioritization (): A Screening-Level High-Throughput Chemical Prioritization Tool.

作者信息

Hubbard Heidi F, Ring Caroline L, Hong Tao, Henning Cara C, Vallero Daniel A, Egeghy Peter P, Goldsmith Michael-Rock

机构信息

ICF International, 2635 Meridian Parkway, Durham, NC 27713, USA.

Chemical Characterization and Exposure Division, Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Durham, NC 27713, USA.

出版信息

Toxics. 2022 Sep 28;10(10):569. doi: 10.3390/toxics10100569.

Abstract

To estimate potential chemical risk, tools are needed to prioritize potential exposures for chemicals with minimal data. Consumer product exposures are a key pathway, and variability in consumer use patterns is an important factor. We designed , a flexible dashboard-type screening-level exposure model, to rapidly visualize exposure rankings from consumer product use. is Excel-based. Currently, it is parameterized for seven routes of exposure for 1108 chemicals present in 228 consumer product types. It includes toxicokinetics considerations to estimate body burden. It includes a simple framework for rapid modeling of broad changes in consumer use patterns by product category. rapidly models changes in consumer user patterns during the COVID-19 pandemic and instantly shows resulting changes in chemical exposure rankings by body burden. Sensitivity analysis indicates that the model is sensitive to the air emissions rate of chemicals from products. 's simple dashboard facilitates dynamic exploration of the effects of varying consumer product use patterns on prioritization of chemicals based on potential exposures. can be a useful modeling and visualization tool to both novice and experienced exposure modelers and complement more computationally intensive population-based exposure models.

摘要

为了评估潜在的化学风险,需要一些工具来对数据最少的化学品的潜在暴露进行优先级排序。消费品暴露是一条关键途径,而消费者使用模式的变异性是一个重要因素。我们设计了一个灵活的仪表板式筛选级暴露模型,用于快速直观地显示消费品使用产生的暴露排名。该模型基于Excel。目前,它针对228种消费品类型中存在的1108种化学品的七种暴露途径进行了参数化设置。它包括用于估计体内负荷的毒理学考虑因素。它包括一个简单的框架,用于通过产品类别对消费者使用模式的广泛变化进行快速建模。该模型能快速模拟新冠疫情期间消费者使用模式的变化,并立即显示由此导致的基于体内负荷的化学暴露排名变化。敏感性分析表明,该模型对产品中化学品的空气排放率敏感。该模型简单的仪表板便于动态探索不同消费品使用模式对基于潜在暴露的化学品优先级排序的影响。对于新手和经验丰富的暴露建模人员来说,该模型都可能是一个有用的建模和可视化工具,并可补充计算量更大的基于人群的暴露模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c20/9609548/18fda7351ac1/toxics-10-00569-g001.jpg

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