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2期Beta，以在Tree Top Juice加工厂进行演示的现场适用于实时远程监测传感器设备，能够在未经过滤的果汁，液体或废水中同时检测多种农药。我们建议进一步开发碳纳米管矩阵活动生物传感器区域，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导致了自动实时系统的原型，并显示出从1ppt到10ppm的敏感性，在检测Atrazine，Chloropyrifos和Malathion时，交叉反应非常低。 首席研究员：Anne Schwartz首席执行官DN，分包PI的：Jeff Jenkins Osu博士。 协助：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的超灵敏的电化学传感平台进行农药的伏安分析。我们将研究基于碳纳米阵列的感应单元的能力和性能，并同时且连续地检测多种农药。这项工作的一部分将是保存和保质期测试 在废水和食品加工厂中自动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进行系统优化。 第2阶段（系统）：使用专有的设计设计，用于对测试传感器的80传感器多路复用阵列，自动输送以及将流体样品清除到测试传感器的进一步开发，该设计使用专有的设计，用于电子微流体泵机制和无线数据传输，以使食品处理线和废水系统处理的警报以提醒您的警报。 项目在产品开发和商业化中的应用：问题的说明；我们国家的粮食和水质面临风险，因为我们无法负担使用当前方法采样和分析水所花费的力量和时间。风险农药的姿势已被严重低估。 NOAA Fisheries Service和Washington State University进行的2009年美国地质调查局的最新研究表明，多种农药的综合作用对健康的危险要比单独分析每种农药的影响估计的结果要危险得多（1）。实际上，当少年鲑鱼立即死亡时，只有两种农药。这些是被认为是安全的常见农药。这些农药与儿童的多动症有关（2）。这种缺乏为公众健康提供全面的农药测试的能力并不有限 到俄勒冈州；这是一个国家问题。 解决方案：适用的实时远程监测设备，以检测水和食品中的农药，将使食品加工者，DEQ，EPA和NIEH研究人员获得足够的数据，以了解环境与工业或农业因素之间的关系以及影响水和食品质量的特定机制，以实现变化。目前，没有足够的数据来制定管理农药的全面和有效计划。同样是实时的，对PPT敏感，食品加工机需要进行测量，以及时调整过程以降低食物中的农药量。 Dahl Natural，ASU和OSU正在合作展示该技术的可行性，以便将其商业化以解决这一健康和环境威胁的问题。 商业应用程序和其他好处：本解决方案的特殊功能是该设备在水生环境中部署在一到两年中的能力，而无需维修直到该时间段结束。此外，数据可以一次远程发送太多不同的数据库。因此，对NIEH和公众的商业应用和收益很多，包括食品加工，废水监测和警报系统，超级基金现场监控，及时颁发的个人废水放电许可证，为NIEH，DEQ，EPA和大学研究人员建立全面的数据库。 农药测试的市场每年超过10亿美元。传感器的低成本和巨大节省 测试（一个平均样本每天每天200美元至600美元，每天的平均样本超过50个平均样本，价格低至30.00美元），并增加了获得Internet /Interanet访问数据的访问。 关键词：对水，电化学传感器，自组装MWCNT和抗体结合，马拉硫酮，毒藻，阿特拉津的远程监测。 国会议员的摘要：NIEH资助了一项破碎的研究工作，这可以极大地提高我们国家对食物，饮用水，湖泊，河流，河流和海洋水生环境的威胁的能力。这项新技术将能够一次远程监测有毒农药1-2年。