Kennedy Marc C, Glass C Richard, Bokkers Bas, Hart Andy D M, Hamey Paul Y, Kruisselbrink Johannes W, de Boer Waldo J, van der Voet Hilko, Garthwaite David G, van Klaveren Jacob D
The Food and Environment Research Agency (Fera), Sand Hutton, York, UK.
The Food and Environment Research Agency (Fera), Sand Hutton, York, UK.
Food Chem Toxicol. 2015 May;79:32-44. doi: 10.1016/j.fct.2014.09.009. Epub 2014 Oct 2.
Exposures to plant protection products (PPPs) are assessed using risk analysis methods to protect public health. Traditionally, single sources, such as food or individual occupational sources, have been addressed. In reality, individuals can be exposed simultaneously to multiple sources. Improved regulation therefore requires the development of new tools for estimating the population distribution of exposures aggregated within an individual. A new aggregate model is described, which allows individual users to include as much, or as little, information as is available or relevant for their particular scenario. Depending on the inputs provided by the user, the outputs can range from simple deterministic values through to probabilistic analyses including characterisations of variability and uncertainty. Exposures can be calculated for multiple compounds, routes and sources of exposure. The aggregate model links to the cumulative dietary exposure model developed in parallel and is implemented in the web-based software tool MCRA. Case studies are presented to illustrate the potential of this model, with inputs drawn from existing European data sources and models. These cover exposures to UK arable spray operators, Italian vineyard spray operators, Netherlands users of a consumer spray and UK bystanders/residents. The model could also be adapted to handle non-PPP compounds.
使用风险分析方法评估植物保护产品(PPP)的暴露情况,以保护公众健康。传统上,单一来源,如食品或个别职业来源,已得到处理。实际上,个人可能同时暴露于多种来源。因此,改进监管需要开发新工具来估计个体内部汇总的暴露情况的人群分布。本文描述了一种新的汇总模型,该模型允许个体用户根据其特定情况,纳入尽可能多或尽可能少的可用或相关信息。根据用户提供的输入,输出范围可以从简单的确定性值到概率分析,包括变异性和不确定性的表征。可以计算多种化合物、暴露途径和暴露源的暴露情况。该汇总模型与并行开发的累积膳食暴露模型相链接,并在基于网络的软件工具MCRA中实现。本文给出了案例研究,以说明该模型的潜力,其输入数据来自现有的欧洲数据源和模型。这些案例涵盖了英国耕地喷雾操作人员、意大利葡萄园喷雾操作人员、荷兰消费喷雾使用者以及英国旁观者/居民的暴露情况。该模型也可进行调整,以处理非植物保护产品化合物。