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:
    10354691
  • 负责人:
  • 金额:
    $ 37.21万
  • 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.
项目总结(项目3) 这项拟议的工作是为了推进空气中挥发性有机物(VOC)的检测和定量 技术,并有力地表征室内/室外对比度和室内暴露的决定因素 目标是与超级基金相关的VOC。这项研究将继续壮大和扩大两个现场实时VOC 路易斯维尔大学超级基金研究中心开发的测量平台成立于 2017年。一个平台包括小型、低成本的传感器,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目标超级基金相关的VOCs,包括丙烯醛, 三氯乙烯(TCE)、苯、甲苯、乙苯和二甲苯(BTEX)。这些设备使用了新的表面 用于解决选择性和灵敏度的共同挑战的化学物质,并使用 微机电系统(MEMS)技术。另一个平台解决了灵活的 设计的可现场部署的仪器,可以高灵敏度地测量大范围的化合物 用复杂的VOC混合物询问微环境。多通道有机物就地环境 分析器(Moira)仪器,在中心为移动监测提供资金的第一个周期中开发,将 扩展和优化了室内/室外VOC监测研究。莫伊拉是一种气相色谱-质谱仪 高时间分辨率(例如,10分钟)的GC-MS仪器。它的能力将得到扩展 测量比目前设计所能实现的挥发性更高和更低的化合物。这些 创新的、高时间分辨率的现场测量将与传统的时间集成VOC相结合 被动抽样测量联合临床部分参与者家中与超级基金相关的目标VOCs 学习。这些数据将被用来建立时空模型,以估计所有家庭的环境VOCs 临床研究参与者,并对家庭中的VOC水平及其决定因素获得新的见解 微环境。除了暴露评估外,这两个测量平台还对 持续推进超级基金计划;这些创新发展将扩大未来的能力,以 监控室内VOC气体入侵,在现场修复期间监控室外VOC水平,并同时监控两者 在修复后的监测期间,在室内和室外。

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:
    10693807
  • 财政年份:
    2017
  • 资助金额:
    $ 37.21万
  • 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:
    $ 37.21万
  • 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:
    $ 37.21万
  • 项目类别:

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