Suppr超能文献

Crossing the river stone by stone: approaches for residential risk assessment for consumers.

作者信息

Van Veen M P, Van Engelen J G, van Raaij M T

机构信息

Laboratory for Exposure Assessment and Environmental Epidemiology, National Institute for Public Health and the Environment, P.O. Box 1, NL-3720 BA, Bilthoven, The Netherlands.

出版信息

Ann Occup Hyg. 2001 Apr;45 Suppl 1:S107-18. doi: 10.1016/s0003-4878(00)00101-0.

Abstract

Consumer products may contain constituents that warrant a risk analysis if they raise toxicological concern. Risk assessments are performed a priori, e.g. for pesticides and biocides, and a posteriori, to diagnose risks of contaminants. An overview is presented of residential exposure assessment and risk characterization. For exposure assessment, predictive models are used to estimate exposure concentrations. The available data on product use are used to quantify the intensity of exposure. Often, both exposure concentration and product use show high variability. Worst case assessments cope with variability and uncertainty in data poor situations by selecting 'worst case' values for exposures and exposure factors. Probabilistic models may be used to quantify and model variability and uncertainty when appropriate data is available. The Margin Of Safety approach to characterize risk is discussed. Many biocides handled by consumers are used now and then and (sub)acute exposure and toxicology will be most relevant. Users and children are generally seen as critical groups during the application and post-application phases of exposure, respectively. Still, the diversity of consumer products requires consideration of the merits of each case. We conclude that residential risk assessment is still searching for methods, data and models. Probabilistic methods appear to be useful tools, but a major challenge is to integrate them in regulatory frameworks.

摘要

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验