Development of an integrated smartphone/resistive nanosensor for onsite biomonitoring of exposure to pesticides

项目摘要 有机磷农药中毒是一个严重的环境和职业健康问题 由于其急性或慢性毒性。快速、准确地检测个人对有机磷农药的接触， 对受害者的研究和临床护理都至关重要。然而，这种检测在不同地区仍然存在很大差异。 可商购的测定，例如，Ellman方法和这样的测定也可能不能充分检测低浓度的 而是临床相关的暴露生物标志物水平。此外，这些测定通常在实验室中进行。 集中实验室，并且缓慢且昂贵。这些赤字转化为错失的机会， 对急性或慢性中毒受害者及时采取最适当的治疗和干预措施。 一种简单、快速、无创或微创的生物监测工具，用于现场敏感和准确地检测 个人暴露于有机磷农药是非常可取的，符合NIEHS暴露计划的利益。这 STTR第一阶段项目是开发一种创新的集成智能手机/纳米传感器平台，用于现场快速和 使用手指针刺的一小滴血灵敏地检测OP暴露。这种纳米传感器将利用 纳米技术和无线技术，并利用一个重要的生物标志物，血液胆碱酯酶的检测， 个人OP暴露和由此产生的工具有可能作为环境和 职业工人。研究将确定检测限、灵敏度、动态范围等关键 - 使用体外血液样本的感测平台的性能度量，所述血液样本被给予典型的杀虫剂，以及 通过现场采集农民工手指采血样本，验证了该平台的可行性 该平台可灵敏、准确地检测有机磷农药的暴露情况。所得到的纳米传感器 将是一个简单，快速，具有成本效益，微创，即时生物监测工具，准确 个人接触评估和现场快速检测有机磷农药接触情况。因此，这部小说 感测平台可以像葡萄糖仪一样用作用于自我测试的个人仪表，并且还可以用于 现场、医生办公室、床边和急诊室。

Project Summary Organophosphate (OP) pesticides poisoning is a major environmental and occupational health problem worldwide due to its acute or chronic toxicity. Rapid and accurate detection of personal exposure to OP pesticides is critical to both research and clinical care for victims. However, this detection remains highly variable across commercially available assays, e.g., the Ellman method, and such assays may also not adequately detect low but clinically relevant levels of exposure biomarkers. Moreover, these assays are generally performed in the centralized laboratories, and is slow and expensive. These deficits translate into missed opportunities for the timely initiation of the most appropriate treatment and interventions for acutely or chronically poisoned victims. A simple, rapid, non- or minimally invasive biomonitoring tool for onsite sensitive and accurate detection of personal exposure to OP pesticides is highly desirable and fits the interest of NIEHS exposure program. This STTR phase I project is to develop an innovative integrated smartphone/nanosensor platform for onsite rapid and sensitive detection of OP exposure using a tiny drop of finger-stick blood. This nanosensor will take advantage of nanotechnology and wireless technology and utilize an important biomarker, blood cholinesterase, for the detection of personal OP exposure and the resulted tool has the potential to serve as mHealth for environmental and occupational workers. The research will determine the detection limit, sensitivity, dynamic range, and other key performance metrics of the sensing platform using blood samples in vitro dosed with typical pesticides and validate the platform in field using finger-stick blood samples from farmworkers, and demonstrate the feasibility of the platform for sensitive and accurate detection of exposure to OP pesticides. The resulted nanosensor would be a simple, rapid, cost-effective, and minimally-invasive, point-of-care biomonitoring tool for accurate personal exposure assessment and for on-site rapid detection of exposure to OP pesticides. Thus, this novel sensing platform could serve as a personal meter for self-test just like a glucose meter and could also be used in field, physician's office, bedside, and emergency room.