Development of a Smart PFAS-Collector for High-Throughput PFAS Detection
开发用于高通量 PFAS 检测的智能 PFAS 收集器
基本信息
- 批准号:10327033
- 负责人:
- 金额:$ 16.81万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:AcidsAddressAnionsAssessment toolAwarenessBindingBudgetsChargeChemical StructureChemicalsCommunitiesContractsCoupledDataData AnalyticsDetectionDevelopmentDevicesElectron MicroscopyEnvironmentEnvironmental Engineering technologyEquipmentExerciseExhibitsExposure toFingerprintFire - disastersFluorescenceFormulationGoalsHazardous SubstancesHealthHealth HazardsHumanHuman ResourcesImageImaging DeviceIndustryLaboratoriesMapsMass Spectrum AnalysisMeasurableMeasuresMethodsMonitorMunicipalitiesNanotechnologyOptical MethodsOpticsOutcomePhasePlant ResinsPreparationPrivatizationProgram DevelopmentPropertyResearchResolutionRiskSamplingScreening procedureShipsSignal TransductionSiteSmall Business Innovation Research GrantSocietiesSolidSolventsSourceSpecificitySpectrum AnalysisStructure-Activity RelationshipSuperfundSurfaceTechnologyTestingTimeTrainingUncertaintyWaste ProductsWaterWater SupplyWorkaqueousbaseconsumer productcontaminated drinking watercostdesigndetection limitdetection methoddetectordrinking waterexposed human populationexposure routefeasibility testingfightingfluorescence imagingfunctional groupground waterimprovedinnovationinstrumentationlandfilllight scatteringmanufacturabilitymaterials sciencemultidisciplinarynanoparticlenovelperfluorooctanoic acidphysical propertyportabilityprogramsprototypescreeningsensortoolwater testing
项目摘要
Project Summary/Abstract
1 Rising awareness of the ubiquity of per- and polyfluoroalkyl substances (PFAS) coupled with
2 growing evidence of human health hazards has led to increased PFAS testing of water sources
3 that feed drinking-water supplies. Early estimations of the PFAS treatment market are at $3.1Bn,
4 with testing representing a key revenue driver. While highly accurate, current high resolution mass
5 spectroscopy (HRMS) PFAS detection methods have high per sample costs and long turnaround
6 times. The specialized equipment is expensive and requires skilled personnel and laborious
7 sample preparation. As a result, budget-strapped stakeholders may limit the comprehensive
8 testing needed for site assessment. Long turnaround times can mean continued community
9 exposure and uncertainty of clean-up progress. AxNano is developing a low-cost, high-
10 throughput, portable PFAS-detection method. We aim to initially develop this as a screening tool
11 for environmental engineers to provide real-time data of elevated PFAS levels to inform exposures
12 and further testing needs. Long-term goals are to achieve specificity and detection limits
13 necessary for receiving EPA approval. This technology meets the specific Superfund Research
14 Program need of “nanotechnology-based sensors” to “characterize [and] monitor hazardous
15 substances at contaminated sites”.
16 The specific objectives of this Phase I SBIR program are the development of and bench-scale
17 testing of AxNano’s PFAS-targeting “smart” collector, which is a key component of our high
18 throughput PFAS detector. The long-term objectives of this multidisciplinary technology
19 development program will integrate material science, advanced spectroscopy, and data analytics.
20 The key innovation in this work is unique PFAS-targeting nanoparticles that will produce a
21 fluorescence signal upon binding PFAS. Our initial goal is ppb level detection, and ultimately ppt
22 to meet regulatory requirements. Specific tasks of this Phase I include lab-scale manufacturing of
23 a suite of surface-modified fluorescent nanoparticles and testing for PFAS-targeting and -
24 detecting abilities. Promising candidates will be down-selected according to specific criteria and
25 integrated into a pre-prototype “smart” collector, which will then be tested at bench-scale. Phase
26 I will test proof-of-concept against standard solutions of perfluorooctanoic acid (PFOA),
27 perfluorooctanesulfonic acid (PFOS), and an Aqueous Fire Fighting Foam (AFFF) Ansulite.
28 Additional tasks involve preparing for prototyping and broader PFAS compound testing in realistic
29 environments in Phase II.
项目摘要/摘要
1人们对全氟烷基物质和多氟烷基物质(PFAS)普遍存在的认识不断提高
越来越多的危害人类健康的证据导致增加了对水源的全氟辛烷磺酸检测。
3为饮用水供应提供食物的地方。对PFAS治疗市场的初步估计为31亿美元。
4测试是一个关键的收入来源。虽然高精度,目前的高分辨率质量
5光谱学(HRMS)PFAS检测方法每份样品成本高,周期长
6次。专业设备价格昂贵,需要熟练的人员和劳动力
7样品制备。因此,预算紧张的利益相关者可能会限制全面的
8现场评估需要进行测试。较长的周转时间可能意味着持续的社区
9清理进展的曝光性和不确定性。AxNano正在开发一种低成本、高性能的
10吞吐量,便携式PFAS-检测方法。我们的目标是将其初步开发为一种筛查工具
11供环境工程师提供全氟辛烷磺酸水平升高的实时数据,以告知暴露情况
12和进一步的测试需求。长期目标是实现特异性和检测极限
13获得环境保护局批准所必需的。该技术满足特定超级基金的研究
14计划需要“基于纳米技术的传感器”来“表征[和]监测危险”
15受污染地点的物质“。
16该第一阶段SBIR计划的具体目标是开发和扩大实验室规模
17测试AxNano的以PFAS为目标的“智能”收集器,这是我们HIGH的关键组件
18个吞吐量的PFAS检测器。这项多学科技术的长期目标
19个发展计划将整合材料科学、先进光谱学和数据分析。
这项工作的关键创新是独特的全氟辛烷磺酸靶向纳米颗粒,它将产生
21结合全氟辛烷磺酸后发出荧光信号。我们最初的目标是ppb级别的检测,最终是ppt。
22以满足监管要求。这一阶段的具体任务包括实验室规模的制造
23一套表面修饰的荧光纳米颗粒和全氟辛烷磺酸的测试-靶向和-
24检测能力。有前途的候选人将根据特定的标准和
25集成到预原型“智能”收集器中,然后将在实验室规模进行测试。阶段
26我将针对全氟辛酸(PFOA)的标准溶液测试概念验证,
27全氟辛烷磺酸(PFOS)和一种水性灭火泡沫(AFFF)安硫剂。
28项额外任务包括为原型和更广泛的全氟辛烷磺酸化合物测试做准备
29个环境处于第二阶段。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Alexis Wells Carpenter其他文献
Alexis Wells Carpenter的其他文献
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{{ truncateString('Alexis Wells Carpenter', 18)}}的其他基金
Hydraulic Fracturing of Controlled Release Oxidants for Remediation of Low Permeability Zones
控释氧化剂水力压裂修复低渗透区
- 批准号:
10225761 - 财政年份:2019
- 资助金额:
$ 16.81万 - 项目类别:
Hydraulic Fracturing of Controlled Release Oxidants for Remediation of Low Permeability Zones
控释氧化剂水力压裂修复低渗透区
- 批准号:
9908808 - 财政年份:2019
- 资助金额:
$ 16.81万 - 项目类别:
Hydraulic Fracturing of Controlled Release Oxidants for Remediation of Low Permeability Zones
控释氧化剂水力压裂修复低渗透区
- 批准号:
10259810 - 财政年份:2019
- 资助金额:
$ 16.81万 - 项目类别:
Controlled Release Polymer Structures for In Situ Chemical Oxidation of Contaminated Groundwater
用于受污染地下水原位化学氧化的控释聚合物结构
- 批准号:
9462486 - 财政年份:2016
- 资助金额:
$ 16.81万 - 项目类别:
Controlled Release Polymer Structures for In Situ Chemical Oxidation of Contaminated Groundwater
用于受污染地下水原位化学氧化的控释聚合物结构
- 批准号:
9138910 - 财政年份:2016
- 资助金额:
$ 16.81万 - 项目类别:
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