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.
Authors
- Kelly Chen
- Kazukiyo Kumagai (ORCID: https://orcid.org/0000-0002-0425-9410)
- Jeff Wagner (ORCID: https://orcid.org/0000-0003-4337-622X)
- Zhong-Min Wang (ORCID: https://orcid.org/0000-0002-5536-523X)
Institutions
- California Department of Public Health (US)
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