2022
DOI: 10.5194/amt-15-2685-2022
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Quantification of major particulate matter species from a single filter type using infrared spectroscopy – application to a large-scale monitoring network

Abstract: Abstract. To enable chemical speciation, monitoring networks collect particulate matter (PM) on different filter media, each subjected to one or more analytical techniques to quantify PM composition present in the atmosphere. In this work, we propose an alternate approach that uses one filter type (teflon or polytetrafluoroethylene, PTFE, commonly used for aerosol sampling) and one analytical method, Fourier transform infrared (FT-IR) spectroscopy to measure almost all of the major constituents in the aerosol.… Show more

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Cited by 6 publications
(1 citation statement)
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“…PTFE filters are stored at room temperature and analyzed between 3 and 12 months after collection (typically 6 to 9 months) for PM mass, elements and filter-based light absorption. Recently, FT-IR analysis, a non-destructive method, has been performed on IMPROVE samples to reproduce routinely measured compositional data (Debus et al, 2022) and measure the functional group composition of the organic fraction (Ruthenburg et al, 2014). FT-IR analysis has also been conducted on other networks and in chamber and field studies to measure organic functional groups (Boris et al, 2021(Boris et al, , 2019Laurent and Allen, 2004;Russell et al, 2011;Ruthenburg et al, 2014;Yazdani et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…PTFE filters are stored at room temperature and analyzed between 3 and 12 months after collection (typically 6 to 9 months) for PM mass, elements and filter-based light absorption. Recently, FT-IR analysis, a non-destructive method, has been performed on IMPROVE samples to reproduce routinely measured compositional data (Debus et al, 2022) and measure the functional group composition of the organic fraction (Ruthenburg et al, 2014). FT-IR analysis has also been conducted on other networks and in chamber and field studies to measure organic functional groups (Boris et al, 2021(Boris et al, , 2019Laurent and Allen, 2004;Russell et al, 2011;Ruthenburg et al, 2014;Yazdani et al, 2022).…”
Section: Introductionmentioning
confidence: 99%