PM2.5 Speciation of Beta Attenuation Monitor Filters During Wildfire Smoke Events

Beta attenuation monitors (BAMs) are widely used for the regulatory monitoring of fine particulate matter (PM2.5) and fence line monitoring of industrial sites. The elemental analysis of BAM filter tapes potentially could enable additional source PM2.5 attribution. However, the chemical characterization of the glass fiber filters is hindered by high background metal values. A sample preparation method was developed using the ultrasonic extraction of particulate matter from BAM filter spots in nitric acid and the analysis of metals by inductively coupled plasma–mass spectrometry (ICP-MS) and scanning electron microscopy–energy-dispersive X-ray spectroscopy (SEM-EDS). To demonstrate the utility of this method, BAM filter spots were analyzed from wildfire smoke periods in the San Francisco Bay Area in California in Fall 2023 and indicated elevated levels of chromium compared to a non-wildfire period in Spring 2023. The SEM-EDS of the BAM tape was used to probe individual particulate morphology, but it only detected Fe and Ba at levels above the blank media. The ultrasonic extraction method of BAM filter spots could be used in future wildfire smoke events to extend the characterization of beta attenuation monitor filters in PM2.5 monitoring.

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Publication Details

Journal
Atmosphere
Published
2025-03-22
DOI
https://doi.org/10.3390/atmos16040361
Citations
3
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
2.40
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article

PM2.5 Speciation of Beta Attenuation Monitor Filters During Wildfire Smoke Events

Kelly Chen, Kazukiyo Kumagai, Jeff Wagner, Zhong-Min Wang
3 citations
Atmosphere
Air Quality Monitoring and Forecasting
2.40
article

PM2.5 Speciation of Beta Attenuation Monitor Filters During Wildfire Smoke Events

Kelly Chen, Kazukiyo Kumagai, Jeff Wagner, Zhong-Min Wang
article en
3 citations

Abstract

Beta attenuation monitors (BAMs) are widely used for the regulatory monitoring of fine particulate matter (PM2.5) and fence line monitoring of industrial sites. The elemental analysis of BAM filter tapes potentially could enable additional source PM2.5 attribution. However, the chemical characterization of the glass fiber filters is hindered by high background metal values. A sample preparation method was developed using the ultrasonic extraction of particulate matter from BAM filter spots in nitric acid and the analysis of metals by inductively coupled plasma–mass spectrometry (ICP-MS) and scanning electron microscopy–energy-dispersive X-ray spectroscopy (SEM-EDS). To demonstrate the utility of this method, BAM filter spots were analyzed from wildfire smoke periods in the San Francisco Bay Area in California in Fall 2023 and indicated elevated levels of chromium compared to a non-wildfire period in Spring 2023. The SEM-EDS of the BAM tape was used to probe individual particulate morphology, but it only detected Fe and Ba at levels above the blank media. The ultrasonic extraction method of BAM filter spots could be used in future wildfire smoke events to extend the characterization of beta attenuation monitor filters in PM2.5 monitoring.

AtmosphereVol. 16(4)
California Department of Public Health (US)
Openalex Percentile: Top 13%
Air Quality Monitoring and Forecasting
2.40
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