Project 3 - Development and Field Application of Novel Ultrasensitive Devices for the Measurement of Airborne VOCs

项目3——新型超灵敏空气VOC测量装置的开发及现场应用

基本信息

  • 批准号:
    10693807
  • 负责人:
  • 金额:
    $ 37.34万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-09-01 至 2027-06-30
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY (Project 3) This proposed work is to advance airborne volatile organic compound (VOC) detection and quantification technologies, and to robustly characterize indoor/outdoor contrast and in-home determinants for exposures to target Superfund-relevant VOCs. This research will continue to grow and expand two VOC real-time in situ measurement platforms developed by the University of Louisville Superfund Research Center established in 2017. One platform comprises small, low-cost sensors that can be deployed alone or in networks. Novel gas sensors and sensor arrays are being developed to measure target Superfund-relevant VOCs including acrolein, trichloroethene (TCE), benzene, toluene, ethylbenzene, and xylene (BTEX). The devices use novel surface chemistries to address the common challenges of selectivity and sensitivity and are fabricated using microelectromechanical systems (MEMS) technology. Another platform addresses the need for flexibly designed, field-deployable instruments that can measure with high sensitivity a large range of compounds to interrogate microenvironments with complex VOC mixtures. The Multichannel Organics In-situ enviRonmental Analyzer (MOIRA) instrument, developed in the first cycle of Center funding for mobile monitoring, will be expanded and optimized for indoor/outdoor VOC monitoring studies. MOIRA is a gas chromatography–mass spectrometry (GC-MS) instrument with high time resolution (e.g., ten minutes). Its capabilities will be expanded to measure both higher and lower volatility compounds than can be achieved with the current design. These innovative, high time resolution in situ measurements will be coupled with conventional time-integrated VOC passive sampling to measure target Superfund-relevant VOCs at homes of some participants in the allied clinical study. These data will be used to build spatiotemporal models to estimate ambient VOCs at the homes of all clinical study participants, and to gain new insights into VOC levels and their determinants in the home microenvironment. In addition to exposure assessment, the two measurement platforms are responsive to ongoing Superfund program advancements; these innovative developments will expand future capacities to monitor VOC indoor vapor intrusion, monitor outdoor VOC levels during site remediation, and monitor both indoors and outdoors during post-remediation surveillance.
项目概要(项目 3) 这项拟议的工作是推进空气中挥发性有机化合物 (VOC) 的检测和量化 技术,并有力地表征室内/室外对比和家庭暴露的决定因素 目标是超级基金相关的挥发性有机化合物。这项研究将继续发展和扩大两个VOC实时原位 路易斯维尔大学超级基金研究中心开发的测量平台于 2017 年。一个平台由小型、低成本传感器组成,可以单独部署或在网络中部署。新型气体 正在开发传感器和传感器阵列来测量与超级基金相关的目标挥发性有机化合物,包括丙烯醛、 三氯乙烯 (TCE)、苯、甲苯、乙苯和二甲苯 (BTEX)。该设备采用新颖的表面 化学物质可解决选择性和灵敏度的常见挑战,并使用 微机电系统(MEMS)技术。另一个平台可以满足灵活的需求 设计的、可现场部署的仪器,可以高灵敏度测量多种化合物 研究含有复杂 VOC 混合物的微环境。多通道有机物原位环境 分析仪 (MOIRA) 仪器是在中心第一轮移动监测资助中开发的,将 针对室内/室外 VOC 监测研究进行了扩展和优化。 MOIRA 是一种气相色谱-质量分析仪 具有高时间分辨率(例如十分钟)的光谱测定(GC-MS)仪器。其能力将得到扩展 测量比当前设计所能达到的更高和更低挥发性的化合物。这些 创新的高时间分辨率原位测量将与传统的时间积分 VOC 相结合 被动采样,测量联合临床一些参与者家中与超级基金相关的目标挥发性有机化合物 学习。这些数据将用于构建时空模型,以估计所有人家中的环境挥发性有机化合物(VOC)。 临床研究参与者,并获得对家中 VOC 水平及其决定因素的新见解 微环境。除了暴露评估之外,这两个测量平台还响应 正在进行的超级基金计划进展;这些创新发展将扩大未来的能力 监测 VOC 室内蒸气入侵,监测现场修复期间的室外 VOC 水平,并监测两者 修复后监测期间的室内和室外。

项目成果

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Michael H Nantz其他文献

Michael H Nantz的其他文献

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{{ truncateString('Michael H Nantz', 18)}}的其他基金

Project 3 - Development and Field Application of Novel Ultrasensitive Devices for the Measurement of Airborne VOCs
项目3——新型超灵敏空气VOC测量装置的开发及现场应用
  • 批准号:
    10354691
  • 财政年份:
    2017
  • 资助金额:
    $ 37.34万
  • 项目类别:
Development of Novel Ultrasensitive Devices for the Measurement of VOCs
开发用于测量 VOC 的新型超灵敏设备
  • 批准号:
    9260446
  • 财政年份:
  • 资助金额:
    $ 37.34万
  • 项目类别:
Development of Novel Ultrasensitive Devices for the Measurement of VOCs
开发用于测量 VOC 的新型超灵敏设备
  • 批准号:
    9904688
  • 财政年份:
  • 资助金额:
    $ 37.34万
  • 项目类别:

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