Abstract

Pesticide exposure assessment in humans involves selecting a set of representative products, performing a detailed examination of all the label permitted uses, and developing relevant exposure scenarios. Due to the potentially large number of pesticide application methods and use sites involved, this process is time-consuming and often requires professional, but subjective, judgment to triage the information. In this proof-of-concept study, an objective method was developed to systematically rank pesticide products for human exposure assessment based on a set of pre-determined criteria. Information employed in this study was obtained from an open access database for 66 cyfluthrin or β-cyfluthrin containing products. Exposure characterization of these pesticide products is based on five normalized product profile indices designed to capture the exposure potential of products, within known exposure settings, through activities exhibited by different population subgroups. Based on the five normalized indices, Toxicity Priority Index (ToxPi) software was used to visually rank the exposure potential of the cyfluthrin/β-cyfluthrin containing products. The ToxPi-based toxicity predictions were assessed using Pesticide Illness Surveillance Program database. The utility of the methodology was discussed in terms of ranking exposure potential of new pesticide products, assisting with future exposure mitigations and applications to pesticides with a common mode-of-action.

摘要

人类农药暴露评估包括选择一组有代表性的产品，对所有标签允许的用途进行详细检查，并制定相关的暴露场景。由于可能涉及大量农药施用方法和使用地点，此过程耗时且通常需要专业但主观的判断来对信息进行分类。在这项概念验证研究中，一个目标开发了一种方法，根据一组预先确定的标准，系统地对用于人体暴露评估的农药产品进行排名。本研究中使用的信息是从 66 种氟氯氰菊酯或含氟氯氰菊酯产品的开放存取数据库中获得的。这些农药产品的暴露特征基于五个标准化的产品概况指数，旨在通过不同人群亚组表现出的活动，在已知暴露环境中捕捉产品的暴露潜力。基于五个归一化指数，使用毒性优先指数 (ToxPi) 软件对含有氟氯氰菊酯/β-氟氯氰菊酯的产品的暴露潜力进行视觉排名。使用农药疾病监测计划数据库评估基于 ToxPi 的毒性预测。