Update of the standard regulatory actions for prospective and retrospective cumulative dietary risk assessment of pesticides in MCRA

Jasper Engel, Johannes W. Kruisselbrink, Tijmen van Voorthuijsen, Waldo J. de Boer, Marco S. van Lenthe, Gerda van Donkersgoed, Hannah P. McKeon, Anne Zwartsen, Jacob D. van Klaveren
{"title":"Update of the standard regulatory actions for prospective and retrospective cumulative dietary risk assessment of pesticides in MCRA","authors":"Jasper Engel,&nbsp;Johannes W. Kruisselbrink,&nbsp;Tijmen van Voorthuijsen,&nbsp;Waldo J. de Boer,&nbsp;Marco S. van Lenthe,&nbsp;Gerda van Donkersgoed,&nbsp;Hannah P. McKeon,&nbsp;Anne Zwartsen,&nbsp;Jacob D. van Klaveren","doi":"10.2903/sp.efsa.2024.EN-8942","DOIUrl":null,"url":null,"abstract":"<p>Chemical risk assessment typically focusses on individual substances. However, people are exposed daily to multiple chemicals from diverse sources. The Monte Carlo Risk Assessment (MCRA) platform, developed by Wageningen University &amp; Research (WUR, Biometris) for the Dutch Institute for Public Health and the Environment (RIVM), addresses this issue by enabling cumulative risk assessment (CRA). Recognising the need for mixture risk assessment (MRA), the European Food Safety Authority (EFSA) and RIVM collaborated under a Framework Partnership Agreement (FPA) to enhance the MCRA software for user-friendly and transparent MRA. These enhancements include the development of a new standard regulatory action (SRA) and the refinement of existing retrospective SRAs. The new prospective SRA enables the evaluation of scenarios for new (proposed) maximum residue levels (MRL) for substances within existing cumulative assessment groups (CAG), with the potential for future application to new substances. Regarding the updates of existing retrospective SRAs, more recent occurrence data, food consumption data from more countries compared to the previous version of the SRA, and additional health effects/CAGs were included. Future actions may include further development and periodic updates of the current retrospective SRAs in MCRA, incorporating new considerations and data. These improvements facilitate compliance with regulatory methods and support efficient risk assessment.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"21 8","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2024.EN-8942","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EFSA Supporting Publications","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.2903/sp.efsa.2024.EN-8942","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Chemical risk assessment typically focusses on individual substances. However, people are exposed daily to multiple chemicals from diverse sources. The Monte Carlo Risk Assessment (MCRA) platform, developed by Wageningen University & Research (WUR, Biometris) for the Dutch Institute for Public Health and the Environment (RIVM), addresses this issue by enabling cumulative risk assessment (CRA). Recognising the need for mixture risk assessment (MRA), the European Food Safety Authority (EFSA) and RIVM collaborated under a Framework Partnership Agreement (FPA) to enhance the MCRA software for user-friendly and transparent MRA. These enhancements include the development of a new standard regulatory action (SRA) and the refinement of existing retrospective SRAs. The new prospective SRA enables the evaluation of scenarios for new (proposed) maximum residue levels (MRL) for substances within existing cumulative assessment groups (CAG), with the potential for future application to new substances. Regarding the updates of existing retrospective SRAs, more recent occurrence data, food consumption data from more countries compared to the previous version of the SRA, and additional health effects/CAGs were included. Future actions may include further development and periodic updates of the current retrospective SRAs in MCRA, incorporating new considerations and data. These improvements facilitate compliance with regulatory methods and support efficient risk assessment.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
更新《农药残留管理办法》中农药前瞻性和追溯性累积膳食风险评估的标准规管行动
化学品风险评估通常侧重于单个物质。然而,人们每天都会接触到来自不同来源的多种化学品。瓦赫宁根大学与amp; Research公司(WUR,Biometris)为荷兰公共卫生与环境研究所(RIVM)开发的蒙特卡洛风险评估(MCRA)平台可进行累积风险评估(CRA),从而解决这一问题。认识到混合物风险评估(MRA)的必要性,欧洲食品安全局(EFSA)和荷兰公共卫生与环境研究所(RIVM)根据《框架合作伙伴协议》(FPA)进行了合作,以增强 MCRA 软件的用户友好性和 MRA 的透明度。这些改进包括开发新的标准监管行动(SRA)和完善现有的回顾性 SRA。新的前瞻性 SRA 可以对现有累积评估组 (CAG) 内物质的新的(建议)最大残留量 (MRL) 方案进行评估,并有可能在未来应用于新的物质。关于现有回顾性 SRA 的更新,与上一版 SRA 相比,纳入了更多最新发生数据、来自更多国家的食品消费数据以及更多健康影响/CAG。未来的行动可能包括进一步开发和定期更新《甲基溴污染控制和评估》中现有的追溯性特别敏感评 估,纳入新的考虑因素和数据。这些改进有助于遵守监管方法,支持高效的风险评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Novel foods Risk Assessment Data Modelling and Extraction (NORA) — final report Administrative guidance for the preparation of notifications and applications on traditional foods from third countries in the context of Regulation (EU) 2015/2283 Technical Report on the notification of roasted seeds of Dipteryx alata Vogel as a traditional food from a third country pursuant to Article 14 of Regulation (EU) 2015/2283 Arrhenodes minutus Pest Report to support the ranking of EU candidate priority pests Polygraphus proximus Pest Report to support the ranking of EU candidate priority pests
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1