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Black Carbon Validation of a Novel Sensor for Traffic-Related Indoor Air Pollution



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  • Personal Author:
  • Description:
    Exposure to traffic-related air particulates (TRAP) is linked with reduced respiratory health in both public and worker populations. It has been determined that TRAP penetrates homes and occupational settings, affecting the indoor air quality. Better methods are needed for fast and accurate assessment of efficiency of control methods. A novel MicroPEM (Personal Exposure Monitor) device was recently developed at Research Triangle Institute (RTI) International as a personal exposure monitoring device capable of direct reading measurement of PM2.5 with a simultaneous collection to a Teflon filter. Preliminary data, based on the Pilot Research Project 2015 grant, is focused on developing a correction factor for analysis of traffic-related airborne particles (TRAP) in the Cincinnati region. This study will build upon what we have learned. We proposed to use the unique opportunity to test another novel device, AethLabs microAeth Black Carbon (BC) sensor in an ongoing study that is funded by U.S. Department of Housing and Urban Development Healthy Homes Technical Studies (HHTS). We hypothesize that the microAeth data and the average and the MicroPEMs BC filter data will be statistically similar. In the first specific aim, we will determine the association between the microAeth BC sensor and the BC collected on each MicroPEM filter both indoors and outdoors in buildings close to highways. A multiwavelength optical absorption technique will be used to apportionment of environmental tobacco smoke and soot (black) carbon. The determination of tobacco smoke and carbon with reasonable accuracy is possible using an integrating sphere radiometer and multiple wavelengths to provide specificity. The second specific aim is to determine a correlation coefficient between the MicroPEM PM2.5 direct-reading data and the microAeth BC sensor direct reading data for the assessment of traffic-related indoor pollution. The tested sensors, once validated, will be easy and useful tools to determine occupational exposure to traffic-related indoor air pollution. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • Publisher:
  • Document Type:
  • Funding:
  • Genre:
  • Place as Subject:
  • CIO:
  • Topic:
  • Location:
  • Pages in Document:
    1
  • NIOSHTIC Number:
    nn:20052453
  • Citation:
    17th Annual Pilot Research Project Symposium, University of Cincinnati Education and Research Center, October 13-14, 2016, Cincinnati, Ohio. Cincinnati, OH: University of Cincinnati, 2016 Oct; :1
  • Federal Fiscal Year:
    2017
  • Performing Organization:
    University of Cincinnati
  • Peer Reviewed:
    True
  • Start Date:
    20050701
  • Source Full Name:
    17th Annual Pilot Research Project Symposium, University of Cincinnati Education and Research Center, October 13-14, 2016, Cincinnati, Ohio
  • End Date:
    20260630
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:ebf4ad61b02cbe46bbbe34afbbeb8aea7a4d92391c5606055e32094e4ca604aa0da69813d64701f47d7bfe9d2a23e64bc1380bb68ffe78f3423f47e6b6231cf9
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  • File Type:
    Filetype[PDF - 92.23 KB ]
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