Fera Science Ltd, Sand Hutton, York, YO41 1LZ, UK.
Wageningen University & Research, Biometris, Droevendaalsesteeg 1, 6708, PB, Wageningen, The Netherlands.
Environ Sci Pollut Res Int. 2019 Apr;26(10):9892-9907. doi: 10.1007/s11356-019-04440-7. Epub 2019 Feb 8.
Human exposure to pesticide mixtures can occur from the diet and other sources. Realistic exposure and risk assessments should include multiple sources and compounds and include the relative hazards of the different compounds. The EU-funded Euromix project is developing new web-based tools to facilitate these calculations. A case study is presented that exemplifies their use for a population of UK residents, including exposure from crop-spraying. A UK pesticide usage survey provided information on real pesticide combinations applied to crops of wheat, potatoes, sugar beet and dessert apples. This information was combined with outputs from two alternative simulation models of spray drift to estimate dermal, oral and inhalation exposures of residents. These non-dietary exposures were combined with dietary exposure estimates using the Monte Carlo Risk Assessment software to produce a distribution of aggregated and cumulative exposures. Compounds are weighted by relative potency to generate a measure of overall risk. Uncertainty quantification was also included in the distribution of exposures. These tools are flexible to allow diverse sources of exposure and can provide important information to decision-makers and help to prioritise testing of pesticide mixtures. Including non-dietary sources changed the prioritisation of pesticide mixtures, when compared to dietary exposure alone.
人类可能通过饮食和其他途径接触到农药混合物。现实的暴露和风险评估应包括多种来源和化合物,并包括不同化合物的相对危害。欧盟资助的 Euromix 项目正在开发新的基于网络的工具,以方便这些计算。本文介绍了一个案例研究,说明了这些工具在包括作物喷洒在内的英国居民群体中的使用情况。一项英国农药使用调查提供了有关实际应用于小麦、土豆、糖甜菜和苹果的农药组合的信息。该信息与两种替代喷雾漂移模拟模型的输出相结合,以估计居民的皮肤、口腔和吸入暴露。这些非饮食暴露与使用蒙特卡罗风险评估软件进行的饮食暴露估计相结合,以产生聚合和累积暴露的分布。通过相对效力对化合物进行加权,以生成总体风险的度量。暴露分布中还包括不确定性量化。这些工具具有灵活性,可以允许多种暴露源,并为决策者提供重要信息,帮助优先测试农药混合物。与仅饮食暴露相比,包括非饮食来源会改变农药混合物的优先级。