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Optimization of a Method for the Detection of Biomass-Burning Relevant VOCs in Urban Areas Using Thermal Desorption Gas Chromatography Mass Spectrometry

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  • Journal Title:
    Atmosphere
  • Personal Author:
  • NOAA Program & Office:
  • Description:
    Forest fire smoke influence in urban areas is relatively easy to detect at high concentrations but more challenging to detect at low concentrations. In this study, we present a simplified method that can reliably quantify smoke tracers in an urban environment at relatively low cost and complexity. For this purpose, we used dual-bed thermal desorption tubes with an auto-sampler to collect continuous samples of volatile organic compounds (VOCs). We present the validation and evaluation of this approach using thermal desorption gas chromatography mass spectrometry (TD-GC-MS) to detect VOCs at ppt to ppb concentrations. To evaluate the method, we tested stability during storage, interferences (e.g., water and O-3), and reproducibility for reactive and short-lived VOCs such as acetonitrile (a specific chemical tracer for biomass burning), acetone, n-pentane, isopentane, benzene, toluene, furan, acrolein, 2-butanone, 2,3-butanedione, methacrolein, 2,5- dimethylfuran, and furfural. The results demonstrate that these VOCs can be quantified reproducibly with a total uncertainty of <= 30% between the collection and analysis, and with storage times of up to 15 days. Calibration experiments performed over a dynamic range of 10-150 ng loaded on to each thermal desorption tube at different relative humidity showed excellent linearity (r(2) >= 0.90). We utilized this method during the summer 2019 National Oceanic and Atmospheric Administration (NOAA) Fire Influence on Regional to Global Environments Experiment-Air Quality (FIREX-AQ) intensive experiment at the Boise ground site. The results of this field study demonstrate the method's applicability for ambient VOC speciation to identify forest fire smoke in urban areas.
  • Keywords:
  • Source:
    Atmosphere, 11(3), 276
  • DOI:
  • Document Type:
  • Funding:
  • License:
  • Rights Information:
    CC BY
  • Compliance:
    Library
  • Main Document Checksum:
    urn:sha256:e93ef70d18f1aba2f4ab317964501a103ccc1cc058d8c87b43c9f53584ad3c34
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  • File Type:
    Filetype[PDF - 2.34 MB ]
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