SENSORS FOR WATER CONTAMINANT DETECTION AND MONITORING

用于水污染物检测和监测的传感器

• 批准号: 10698020
• 负责人: Menachem Elimelech
• 金额: $ 15.19万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-07 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10698020
• 关键词: Affinity; Air; Antibody Affinity; Binding; Biological Assay; Biosensor; Charge; Chemicals; Cities; Collaborations; Communities; Computers; Consumption; DNA; Data; Data Analyses; Detection; Development; Devices; Diagnostic; Dioxanes; Effectiveness; Elements; Encapsulated; Epitopes; Equilibrium; Ethylene Dichlorides; Event; Exposure to; Extravasation; Gas Chromatography; Gases; Goals; Hazardous Chemicals; Health; Human; Hydrophobicity; Immunoglobulin Fragments; In Situ; Individual; Infrastructure; Interruption; Laboratories; Libraries; Lipids; Liposomes; Measurable; Measurement; Measures; Methods; Modeling; Molecular Weight; Monitor; Natural Source; Oligonucleotides; Phase; Plants; Prevalence; Process; Property; Proxy; Public Health; Quartz; Reagent; Research; Risk; Safety; Signal Transduction; Site; Solubility; Solvents; Source; Specificity; System; Techniques; Time; Toxic Environmental Substances; Trichloroethanes; Trichloroethylene; Vacuum; Vesicle; Water; Water Pollutants; Water Supply; Yeasts; analytical method; anthropogenesis; aptamer; chemical reaction; combinatorial; community engagement; contaminant transport; contaminated drinking water; copolymer; cost; data management; detection limit; drinking water; exposed human population; field study; ground water; improved; innovation; nanobodies; oxidation; photoionization; portability; purge; real time monitoring; receptor; remediation; response; sensor; sensor technology; spatiotemporal; superfund site; water sampling; water testing; water treatment; waterborne; well water; wireless network; wireless sensor

ABSTRACT Groundwater in Superfund sites is contaminated with a wide range of hazardous chemicals originating from anthropogenic and natural sources. Individuals exposed to these chemicals through contaminated drinking water can be subjected to adverse health effects. The YSRTP will focus on 1,4-dioxane (1,4-DX) and its co-occurring contaminants: trichloroethylene (TCE), 1,1,1-trichloroethane (TCA), and 1,1-dichloroethane (DCA). To protect drinking water supplies and human health, rapid approaches for the detection and monitoring of these contaminants are crucial. The overall goal of this project is to develop sensors for 1,4-DX and its co-contaminants with real-time monitoring via a wireless network. The project includes four specific aims: (1) developing and characterizing biosensors for 1,4-DX detection and quantification, (2) developing and characterizing chemical sensors for 1,4-DX co-occurring contaminants (TCE, TCA, and DCA), (3) 1,4-DX and co-contaminant detection via portable vacuum gas chromatography, and (4) demonstrating detection in a distributed wireless sensor network for contaminant monitoring. The main innovative aspects of the research include the following: (i) developing the first sensor for detecting low, health relevant concentrations of 1,4-DX, by employing an evolutionary selection process, an artificially antibody affinity maturation technique, and organometallic pre- binding molecules; (ii) developing a chemical sensor that exploits the unique solubility-based selectivity of lipid and block-copolymer bilayer vesicles for detecting TCE, DCA, and TCA as a proxy for 1,4-DX contamination; and (iii) demonstrating the use of 1,4-DX sensors and adapted portable vacuum gas chromatographers in a wireless sensor network (WSN) to enable responses to dynamic contamination and exposure events. The project is well integrated with the overall YSRTP. The real time data of contaminant concentrations provided by the WSN will be integrated Project 4 to improve remediation strategies and measure remediation effectiveness and help inform the biomedical projects (Projects 1,2) on exposures for communities in the vicinity of the Superfund sites, and inform the community—through the Community Engagement Core—on real-time concentrations of the target contaminants in drinking water sources. The project will also be engaged with the Data Management & Analysis Core (DMAC) to appropriately store and analyze all contaminant occurrence and concentration data pursuant to the above project interactions and for assistance in the WSN to meet the stated measurement goals.

抽象的 超级基金场地的地下水受到多种危险化学物质的污染，这些化学物质来自 通过受污染的人为饮用水接触这些化学物质的个人 YSRTP 将重点关注 1,4-二恶烷 (1,4-DX) 及其同时发生的物质。 污染物：三氯乙烯 (TCE)、1,1,1-三氯乙烷 (TCA) 和 1,1-二氯乙烷 (DCA)。 饮用水供应和人类健康，检测和监测这些问题的快速方法 该项目的总体目标是开发 1,4-DX 及其共污染物的传感器。 通过无线网络进行实时监控 该项目包括四个具体目标：（1）开发和 表征用于 1,4-DX 检测和定量的生物传感器，(2) 开发和表征化学物质 用于 1,4-DX 共存污染物（TCE、TCA 和 DCA）的传感器，(3) 1,4-DX 和共污染物检测 通过便携式真空气相色谱法，以及 (4) 演示分布式无线传感器中的检测 该研究的主要创新点包括：（i） 开发第一个用于检测与健康相关的低浓度 1,4-DX 的传感器，方法是采用 进化选择过程、人工抗体亲和力成熟技术和有机金属预 结合分子；(ii) 开发一种利用脂质独特的基于溶解度的选择性的化学传感器 用于检测 TCE、DCA 和 TCA 作为 1,4-DX 污染代理的嵌段共聚物双层囊泡； (iii) 演示 1,4-DX 传感器和改装的便携式真空气相色谱仪在 无线传感器网络（WSN）能够响应动态污染和暴露事件。 与 WSN 提供的污染物浓度实时数据很好地结合在一起。 将整合到项目 4 中，以改进修复策略并衡量修复效果并帮助 向生物医学项目（项目 1,2）通报超级基金地点附近社区的暴露情况， 并通过社区参与核心向社区通报有关 该项目还将涉及数据管理和饮用水源中的污染物。 分析核心 (DMAC) 用于适当存储和分析所有污染物发生和浓度数据 根据上述项目交互并寻求 WSN 的帮助来实现既定的测量目标。