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
基本信息
- 批准号:8396106
- 负责人:
- 金额:$ 49.96万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-03-01 至 2014-06-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAdhesionsAdolescentAgricultureAntibodiesAppleAreaAtrazineAttention deficit hyperactivity disorderBindingBiological PreservationBiosensorCarbonCarbon NanotubesChemicalsChemistryChildChild health careComputer softwareComputersCongressesDataData QualityDatabasesDetectionDevelopmentDevice DesignsDevicesDiagnosticDiseaseDoctor of PhilosophyElectronicsEnsureEnvironmentEnvironmental HealthEuropeanEvaluationExposure toExtracellular MatrixFamilyFarming environmentFeesFisheriesFoodFood ProcessingFood SupplyFruitFundingHealthHeart DiseasesImmobilizationIndividualIndustryInternetIntranetJuiceLifeLinkLiquid substanceMalathionMarketingMass FragmentographyMeasurementMeasuresMediatingMethodologyMethodsMicrofluidicsMonitorNanoarray Analytical DeviceOceansOregonOrganophosphatesPearPediatricsPerformancePesticide ResiduesPesticidesPhasePhysicsPlantsPolychlorinated BiphenylsPostdoctoral FellowPricePrincipal InvestigatorProcessProtocols documentationPublic HealthPublishingPumpQuality ControlReal-Time SystemsReportingResearchResearch PersonnelRiskRiversSafetySalmonSamplingScreening procedureServicesSignal TransductionSolutionsSurfaceSurveysSystemTabletsTechnologyTechnology AssessmentTelecommunicationsTestingTimeTreesUniversitiesValidationWashingtonWaterWireless TechnologyWorkbasecommercial applicationcommercializationcomputerized data processingcostcross reactivitydata exchangedata managementdesigndrinking waterfood qualityfruits and vegetablesgood laboratory practiceimprovedinstrumentlarge scale productionmanmeetingsmembermonitoring devicenanomaterialsnew technologypesticide exposureproduct developmentprogramsprototyperesponsesensorsuperfund siteurinarywastingwater qualitywater treatment
项目摘要
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.
PUBLIC HEALTH RELEVANCE: This Phase 2 project to demonstrate a real-time automated device to measure pesticides from 1ppt to 10ppm in a juice processors' plant would dramatically impact the health of the public especially the health of children by reducing exposure through food and water.
描述(由申请人提供):开发用于在树顶果汁加工厂演示的现场适用实时远程监控传感器设备的第二阶段测试,该设备能够同时检测未过滤果汁,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,以有效地固定化多种农药,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,并证明了在检测阿特拉津、毒死蜱和马拉硫磷时,灵敏度从1ppt到10ppm,交叉反应性非常低。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
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Anne M Schwartz其他文献
Anne M Schwartz的其他文献
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{{ truncateString('Anne M Schwartz', 18)}}的其他基金
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 - 财政年份:2010
- 资助金额:
$ 49.96万 - 项目类别:
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