首页> 外文期刊>Food and Chemical Toxicology: An International Journal Published for the British Industrial Biological Research >Probabilistic cumulative dietary risk assessment of pesticide residues in foods for the German population based on food monitoring data from 2009 to 2014
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Probabilistic cumulative dietary risk assessment of pesticide residues in foods for the German population based on food monitoring data from 2009 to 2014

机译:2009年至2014年粮食监测数据德国人群食品食品农药残留的概率累积风险评估

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Cumulative dietary risks for the German population owing to pesticide residues in foods were assessed using food monitoring and consumption data. Based on grouping principles for cumulative assessment groups (CAG) as defined by the European Food Safety Authority, probabilistic modelling gave cumulative long- and short-term dietary exposures relevant to the nervous and thyroid system. Compound specific toxicological reference values were considered to assess the total margins of exposure (MoEs) for each CAG, allowing an assessment of the cumulative dietary consumer risk. For the German population, no public health concerns were identified for 6 of 11 CAGs. For three CAGs high uncertainties remained, since MoEs were less than the usually required threshold of 100 for the upper confidence interval of the modelling uncertainty. For two CAGs relevant to the nervous and thyroid system, possible health risks cannot be excluded with the selected approach. Most potent risk drivers were chlorpyrifos and the group of dithiocarbamates (expressed as propineb). For regulatory decisions on possible cumulative dietary health risks the limitations of the published approaches and the absence of harmonized data sources for robust refinements have to be considered. Future research to reduce this high uncertainty is considered necessary in this area.
机译:使用食物监测和消费数据评估由于食品中农药残留的德国人口的累积饮食风险。根据欧洲食品安全管理局所定义的累积评估群体(CAG)的分组原则,概率模型给了与神经和甲状腺系统相关的累积长期和短期膳食暴露。化合物特异性毒理学参考值被认为是评估每个CAG的暴露(MOES)的总边缘,允许评估累积饮食消费者风险。对于德国人口,没有鉴定公共卫生问题,其中6个CAG。对于三个CAG,仍然存在高的不确定因素,因为MOES小于建模不确定的上置信区间的通常需要100的所需阈值。对于与神经和甲状腺系统相关的两个CAG,不能用所选方法排除可能的健康风险。大多数有效的风险司机是喉紫外线和二硫代氨基甲酸盐(表达为PropineB)。对于可能的累计饮食健康的监管决定风险出版方法的局限性和缺乏对强大的细化的统一数据来源的局限性。未来的研究为了减少这种高不确定性在这方面被认为是必要的。

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