Pesticide prioritization based on risk and model diet proposals for assessing cumulative exposure to pesticide residues in the Brazilian population through food consumption

基于风险和膳食模式建议的农药优先排序,用于评估巴西人群通过食物摄入农药残留的累积暴露量

阅读:3

Abstract

BACKGROUND: Pesticide residue exposure assessments can be carried out during both the pre-regulation and post-regulation phases of these substances. Due to a lack of consumption data required for these assessments, model diets have emerged as a practical solution. However, diets that more accurately reflect each country's consumption patterns provide a more reliable basis for calculating long-term residue exposures and verifying established maximum residue limits. The definition of model diets based on a specific population allows for the prioritization of matrices for analysis and, consequently, monitoring program optimization, due to a more rigorous selection of food groups that may comprise residue exposure sources. This study aimed to assess the contribution of foods to cumulative priority pesticide residue exposure and propose model diets that reflect Brazilian food consumption patterns. RESULTS: The present study considered a chemical compound risk classification and a sensitivity analysis to identify the foods that contribute most to pesticide residue exposure. The top five pesticide-crop combinations in the risk ranking were chlorpyrifos in citrus, banana and potato (score 168) and (2,4-dichlorophenoxy)acetic acid (2,4-D and methomyl in rice (score 140). Model diets were developed based on Brazilian dietary habits in accordance with exposure assessment principles and included the 22 foods considered most critical regarding pesticide exposure. CONCLUSION: A practical simulation using selected pesticides demonstrated that conventional model diets may not yield the same results as the specific model diets proposed for Brazil. © 2026 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。