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

项目摘要 拟议的计划旨在利用表面增强拉曼技术量化农场工人接触杀虫剂的情况 SERS(表面增强拉曼光谱)和一种也可用于尿液分析的廉价传感器。更早的一个节目， 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。 在实验室中对50种有机磷和有机碳农药和代谢物进行了低ppb范围的评估，并 在农场工人营地检测到乙酰甲胺磷和甲基对硫磷。在本计划中，我们将使用一个 创新的表面增强拉曼光谱敏感元件，还可以检测三嗪类农药，如阿特拉津、西马津和 环丙氨嗪。在第一阶段，我们开发了一种甘氨酸涂层传感器，它可以稳定吸附的三嗪环。 导致显著的信号增强。这种新型传感器可以检测到低至1 ppb的三嗪类药物，稳定在 农场工人遇到的温度和湿度，可用于尿液分析。一种新的，结合在一起的 传感器将在第二阶段开发，将测量超过75种杀虫剂和/或代谢物，其中一小部分 当前分析实验室方法的成本。它将为NIH(特别是NIEHS)提供 生物学程序)开发关于每日接触/摄取杀虫剂的大型数据集的方法。这 方法应允许进行流行病学研究和预测长期健康结果。 核心技术已经得到了演示。第二阶段计划旨在展示 一种组合传感器，提供完整的分析规范，最终确定剂量测定、尿液、棉签的方案 和房屋灰尘收集测量。农药/代谢物的精密度和检出限 将对相关性和彻底的干扰分析进行量化定义。系统盲测试，统计 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 卡罗莱纳州的农场工人将被表演。光谱剂量测定和尿液分析结果将与工人相关 通过工人调查开展活动。第三方评价的自动化系统将在第二阶段完成。

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.