Risk assessment approaches for evaluating cumulative exposures to multiple pesticide residues in agro-products using seasonal vegetable monitoring data from Hainan, China: a case study

文献类型： 外文期刊

第一作者： Duan, Yun

作者： Duan, Yun;Luo, Jinhui;Duan, Yun;Luo, Jinhui;Duan, Yun;Luo, Jinhui;Duan, Yun;French, Nigel;Duan, Yun;Ramilan, Thiagarajah;French, Nigel;Ramilan, Thiagarajah;Guan, Ni

作者机构：

关键词： Cumulative exposure; Risk assessment; Pesticide residues; Hainan vegetables

期刊名称：ENVIRONMENTAL MONITORING AND ASSESSMENT （ 影响因子：2.513； 五年影响因子：2.871 ）

ISSN： 0167-6369

年卷期： 2021 年 193 卷 9 期

页码：

收录情况： SCI

摘要： Risks from combined exposure to multiple chemicals in food have prompted a growing concern for their effect on human health. Risk management of chemical mixtures should be based on developing and harmonizing methodologies to scientifically evaluate their cumulative adverse effects. In this study, a simplified tiered approach of cumulative exposure assessment is described along with a case study of vegetables in China's Hainan province during 2012-2014. This case study could be a reference for the Chinese National Risk Assessment Programs for vegetable and fruit products. In the proposed assessment approach, Tier 1 acts as a screening tier to categorize and evaluate chemicals under a conservative scenario, and it prioritizes the pesticides of most concern. Tier 2 refines the grouping of substances from Tier 1 and normalizes the toxic potency of the chemicals to sum the exposure of chemical mixtures in a given assessment group. Tier 3 applies the refined exposure model and the input parameter distribution to create probabilistic models using Monte Carlo simulation. This approach will be helpful in the cumulative exposure assessment where data on pesticide residues are sufficient, but the individual dietary consumption is inadequate.

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