4.0 Article

Dose Setting for Dermal Absorption Studies on Dried Foliar Residues

期刊

ANNALS OF WORK EXPOSURES AND HEALTH
卷 65, 期 4, 页码 397-405

出版社

OXFORD UNIV PRESS
DOI: 10.1093/annweh/wxaa139

关键词

crop worker exposure; dermal absorption; dose setting; dried residues; exposure; pesticides; re-entry tasks; risk assessment

资金

  1. ECPA

向作者/读者索取更多资源

The current standard approach to estimating systemic exposure of workers after contact with dried pesticide residues may overestimate their dermal penetration potential. The choice of appropriate dose levels for dermal absorption studies is not yet defined, and actual skin loading during re-entry tasks may significantly differ from standard practices.
Currently, the standard approach to estimate systemic exposure of workers after contact with dried pesticide residues on crops during re-entry activities relies on using the highest identified dermal absorption value for aqueous spray dilutions. However, recent dermal absorption studies with dried residues and their respective in-use dilutions have shown that this is likely to significantly overestimate their dermal penetration potential and, thus, predicted systemic exposure. The choice of appropriate dose levels for these dermal absorption studies has not been defined. Moreover, actual skin loading during re-entry tasks may differ significantly from that achieved by applying a fixed volume of an aqueous dilution, which is the standard practice in generic dermal absorption studies. To address this, we propose an approach to dose setting for dried residue studies within the current European risk assessment framework. Skin loading for studies can be calculated from the existing exposure algorithms and by taking appropriate body surface areas into account. Thus, skin loading in studies will vary depending on the exact nature and duration of the task and the region of the body exposed, reflecting actual exposure scenarios.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.0
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据