Phase 2 REAL-TIME MONITORING OF TRACE AMOUNTS OF PESTICIDES IN WATER AND FOOD USI

第二阶段 实时监测水和食品中微量农药 USI

• 批准号: 8517723
• 负责人: Anne M Schwartz
• 金额: $ 49.35万
• 依托单位: DAHL NATURAL
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-01 至 2015-05-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8517723
• 关键词: Address; Adhesions; Adolescent; Agriculture; Antibodies; Apple; Area; Atrazine; Attention deficit hyperactivity disorder; Binding; Biological Preservation; Biosensor; Carbon; Carbon Nanotubes; Chemicals; Chemistry; Child; Child health care; Computer software; Computers; Congresses; Data; Data Quality; Databases; Detection; Development; Device Designs; Devices; Diagnostic; Disease; Doctor of Philosophy; Electronics; Ensure; Environment; Environmental Health; European; Evaluation; Exposure to; Extracellular Matrix; Family; Farming environment; Fees; Fisheries; Food; Food Processing; Food Supply; Fruit; Funding; Health; Heart Diseases; Immobilization; Individual; Industry; Internet; Intranet; Juice; Life; Link; Liquid substance; Malathion; Marketing; Mass Fragmentography; Measurement; Measures; Mediating; Methodology; Methods; Microfluidics; Monitor; Nanoarray Analytical Device; Oceans; Oregon; Organophosphates; Pear; Pediatrics; Performance; Pesticide Residues; Pesticides; Phase; Physics; Plants; Polychlorinated Biphenyls; Postdoctoral Fellow; Price; Principal Investigator; Process; Protocols documentation; Public Health; Publishing; Pump; Quality Control; Real-Time Systems; Reporting; Research; Research Personnel; Risk; Rivers; Safety; Salmon; Sampling; Services; Signal Transduction; Solutions; Surface; Surveys; System; Tablets; Technology; Technology Assessment; Telecommunications; Testing; Time; Trees; Universities; Validation; Washington; Water; Wireless Technology; Work; base; commercial application; commercialization; computerized data processing; cost; cross reactivity; data exchange; data management; design; drinking water; food quality; fruits and vegetables; good laboratory practice; improved; instrument; large scale production; man; meetings; member; monitoring device; nanomaterials; new technology; pesticide exposure; product development; programs; prototype; response; screening; sensor; superfund site; urinary; wasting; water quality; water treatment

DESCRIPTION (provided by applicant): Development of a phase 2 beta for demonstration in Tree Top juice processing plant of a Field Applicable Real-time Remote Monitoring Sensor Device capable of detecting multiple pesticides simultaneously in unfiltered juice, fluid or waste water. We propose to further develop the carbon nanotube matrices active biosensor area for effective immobilization of multiple pesticides, as well as preservation and manufacturing specifications of the sensors. Our phase 1 work resulted in a prototype for an automated real time system and has demonstrated sensitivities from 1ppt to 10ppm with very low cross reactivity in the detection of Atrazine, Chloropyrifos, and Malathion. Principal Investigator: Anne Schwartz CEO DN, Subcontract PI's: Dr. Jeff Jenkins OSU. Assisting: Dr. Craig Marcus, Dr. Guenter Schneider and Dr. Ethan Minot OSU. Phase 2 (The Sensor): This work, will utilize an ultra sensitive electrochemical sensing platform based on aligned MWCNT for voltammetric analysis of pesticides. We will examine the capability and performance of the carbon nano-array based sensing unit and develop simultaneous and continuous detection of multiple pesticides. Part of this work will be preservation and shelf life testing of the sensor and optimization for automated use in waste water and food processing plants. We will use computational physics to predict adhesion strength of nanomaterial binding for system optimization. Phase 2 (The System): Further development of electronic hardware to fabricate a 80 sensor multiplexed disposable array, automated delivery and clearance of fluid samples to the test sensor using a proprietary design for an electronic microfluidic pump mechanism and wireless data transmission for alerts to process controls of food processing lines and waste water systems. Application of the Project to Product Development and Commercialization: Statement of the problem; our nation's food and water quality is at risk since we cannot afford the man power and time it takes to sample and analyze water using current methods. The risk pesticides pose has been grossly underestimated. A recent study, of the U.S. 2009 Geological survey done by NOAA Fisheries Service and Washington State University, indicates that the combined effect of multiple pesticides is far more dangerous to the health than was estimated by analyzing the results for the effect of each pesticide individually(1). In fact when juvenile salmon were exposed to only two pesticides at once they immediately died. These were common pesticides that were thought to be safe. These pesticides are linked to ADHD in children (2).This lack in capability of providing comprehensive pesticide testing for the health of the public is not limited to Oregon; it is a national problem. Solution: A field applicable real-time remote monitoring device to detect pesticides in water and food would allow Food Processors, DEQ, EPA, and NIEH researchers to get enough data on the relationship between environmental and industrial or agricultural factors and specific mechanisms that effect water and food quality, to effect change. Currently there is not enough data to develop comprehensive and effective plans for managing pesticides. Also real-time, sensitive to ppt, measurement is needed for food processors to adjust processes in time to lower the amount of pesticides in food. Dahl Natural, ASU and OSU are partnering to demonstrate feasibility of this technology so that it can be commercialized to provide a solution to this health and environmental threatening problem. Commercial Applications and Other Benefits: Unique to this solution is the ability of this device to be deployed in an aquatic environment for from one to two years without the need for servicing until the end of that time period. In addition the data can be remotely sent too many different data bases at once. Hence the commercial application and benefits to the NIEH and the public are many and include food processing, waste water monitoring and alarm systems, superfund site monitoring, timely individual wastewater discharge permits issued, establishment of a comprehensive data base for NIEH, DEQ, EPA and University researchers. The market for pesticide testing is over 1 Billion dollars a year. The low cost of the sensors and dramatic cost saving per test (from $200 to $600 a day per pesticide for one mean sample to over 50 mean samples per day for as little as $30.00) as well as increase access to internet /intranet accessible data. Key Words: Remote Monitoring of Pesticides in Water, Electrochemical Sensor, Self-assembled MWCNT, and antibody based conjugation, Malathion, Chloropyrifos, Atrazine. Summary for Members of Congress: The NIEH has funded a ground breaking research effort which could dramatically improve our nation's ability to detect threats to food, drinking water, lakes, rivers and ocean aquatic environments. This new technology will be able to remotely monitor toxic pesticides for 1-2 years at a time.

描述（由申请人提供）：开发第 2 阶段测试版，用于在 Tree Top 果汁加工厂演示现场适用的实时远程监控传感器设备，该设备能够同时检测未过滤的果汁、液体或废水中的多种农药。我们建议进一步开发碳纳米管基质活性生物传感器领域，以有效固定多种农药，以及传感器的保存和制造规范。我们的第一阶段工作产生了一个自动化实时系统的原型，并在阿特拉津、毒死蜱和马拉硫磷的检测中展示了从 1ppt 到 10ppm 的灵敏度以及非常低的交叉反应性。 首席研究员：Anne Schwartz 首席执行官 DN，分包 PI：Jeff Jenkins OSU 博士。 协助人员：Craig Marcus 博士、Guenter Schneider 博士和 Ethan Minot OSU 博士。 第 2 阶段（传感器）：这项工作将利用基于对齐 MWCNT 的超灵敏电化学传感平台进行农药伏安分析。我们将检查基于碳纳米阵列的传感单元的能力和性能，并开发同时连续检测多种农药的方法。这项工作的一部分将是对产品进行保存和保质期测试 废水和食品加工厂自动化使用的传感器和优化。我们将使用计算物理学来预测纳米材料结合的粘附强度，以实现系统优化。 第 2 阶段（系统）：进一步开发电子硬件，以制造 80 个传感器多路复用一次性阵列，使用电子微流体泵机构的专有设计和用于处理警报的无线数据传输，自动将流体样本输送和清除到测试传感器食品加工线和废水系统的控制。 项目在产品开发和商业化中的应用：问题陈述；我们国家的粮食和水质正面临风险，因为我们无力承担使用现有方法对水进行采样和分析所需的人力和时间。农药造成的风险被严重低估了。美国国家海洋和大气管理局 (NOAA) 渔业局和华盛顿州立大学对 2009 年美国地质调查进行的一项最新研究表明，多种农药的综合影响对健康的危害远比单独分析每种农药的影响结果所估计的要大。 1).事实上，当幼年鲑鱼同时接触两种农药时，它们会立即死亡。这些是被认为是安全的常见农药。这些农药与儿童多动症有关 (2)。为公众健康提供全面农药检测的能力的缺乏是无限的 飞往俄勒冈州；这是一个全国性的问题。 解决方案：用于检测水和食品中农药的现场适用的实时远程监测设备将使食品加工商、DEQ、EPA 和 NIEH 研究人员能够获得有关环境与工业或农业因素之间关系以及影响水的具体机制的足够数据和食品质量，以实现改变。目前没有足够的数据来制定全面有效的农药管理计划。此外，食品加工商还需要实时、对 ppt 敏感的测量，以便及时调整工艺，以降低食品中农药的含量。 Dahl Natural、亚利桑那州立大学和俄勒冈州立大学正在合作证明这项技术的可行性，以便将其商业化，为这一威胁健康和环境的问题提供解决方案。 商业应用和其他优势：该解决方案的独特之处在于该设备能够在水生环境中部署一到两年，而无需进行维护，直到该时间段结束。此外，数据可以同时远程发送到许多不同的数据库。因此，NIEH 和公众的商业应用和利益是多方面的，包括食品加工、废水监测和报警系统、超级基金现场监测、及时发放个人废水排放许可证、为 NIEH、DEQ、EPA 和大学研究人员。 农药检测市场每年超过10亿美元。传感器成本低廉，并且可大幅节省成本 测试（从每天每种农药 1 个平均样品 200 至 600 美元到每天 50 多个平均样品只需 30.00 美元）以及增加对互联网/内联网可访问数据的访问。 关键词：水中农药远程监测、电化学传感器、自组装多壁碳纳米管和抗体结合、马拉硫磷、毒死蜱、莠去津。 国会议员摘要：NIEH 资助了一项突破性的研究工作，该工作可以极大地提高我们国家检测食品、饮用水、湖泊、河流和海洋水生环境威胁的能力。这项新技术将能够一次远程监测有毒农药1-2年。