Monitoring Pesticide Exposure and Accumulation: An Improved Rapid Identifier for all Pesticide Classes

项目摘要 该计划旨在利用表面增强拉曼技术量化农场工人接触农药的情况 光谱（Sers）和廉价的传感器，也可用于尿液分析。一个早期的节目， 在NIEHS的支持下，为有机磷（OP）和有机氯（OC）农药提供了可靠的结果。 50种OP和OC农药及其代谢物在低ppb范围内进行了实验室评估， 在农场工人营地检测到乙酰甲胺磷和甲基敌百虫。在这个项目中，我们将利用一个 创新Sers传感元件，也可以检测三嗪类农药，如阿特拉津、西玛津和 环丙氨嗪在第一阶段，我们开发了一种甘氨酸涂层传感器，稳定吸附的三嗪环 导致显著的信号增强。这种新型传感器可检测低至1 ppb的三嗪， 温度和湿度遇到的农场工人，并可用于尿检。一个新的， 将在第二阶段开发的传感器将测量75种以上的农药和/或代谢物， 目前实验室分析方法的成本。它将提供NIH（特别是NIEHS暴露） 生物学程序）的手段，以建立一个大型数据集的每日接触/摄入农药。这 这种方法应允许进行流行病学研究和预测长期健康结果。 核心技术得到了验证。第二阶段计划旨在展示 一个组合传感器，并提供完整的分析规格，最终确定剂量测定，尿液，棉擦拭协议 和房屋灰尘收集测量。农药/代谢物的精密度和检测限 相关性和彻底的干扰分析将被定量定义。系统盲法测试，统计学 使用训练集和未知验证进行软件优化，并与志愿者North进行现场测试 卡罗莱纳农场工人的表演。光谱剂量测定和尿液分析结果将与工人相关 通过工人调查。第二阶段将完成第三方评价的自动化系统。

Project Summary The proposed program aims to quantify farmworker exposure to pesticides using Surface Enhanced Raman Spectroscopy (SERS) and an inexpensive sensor which can also be used for urinalysis. An earlier program, supported by NIEHS, provided reliable results for organophosphate (OP) and organochlorine (OC) pesticides. Fifty OP and OC pesticides and metabolites were evaluated in the laboratory in the low ppb range, and acephate and methyl parathion were detected at farmworker camps. In this program, we will utilize an innovative SERS sensing element which can also detect triazine pesticides, such as atrazine, simazine and cyromazine. In Phase I we developed a glycine-coated sensor that stabilized the adsorbed triazine ring leading to significant signal enhancement. This novel sensor detects triazines down to 1 ppb, is stable at temperatures and humidities encountered by farmworkers, and can be used for urinalyses. A new, combined sensor, to be developed in Phase II, will measure over 75 pesticides and/or metabolites at a small fraction of the cost of current analytical laboratory methods. It will provide the NIH (particularly the NIEHS Exposure Biology program) the means to develop a large data set on daily exposure/ingestion of pesticides. This approach should allow epidemiological studies and predictions of long-term health outcomes. Core technology has been demonstrated. The Phase II program is designed to demonstrate the capabilities of a combined sensor and provide full analytical specifications, finalize protocols for dosimetry, urine, cotton wipe and house dust collection measurements. Precision and detection limits for pesticides/metabolites of relevance and a thorough interference analysis will be quantitatively defined. System blind tests, statistical software optimization using training sets and unknown verifications and field testing with volunteer North Carolina farmworkers will be performed. Spectral dosimetry and urinalysis results will be correlated to worker activity through worker surveys. An automated system for third party evaluation will be completed in Phase II.