Application and validation of a wearable monitor for assessing time- and location-resolved exposures to particulate matter in California’s Central Valley
Reliable assessment of personal exposure to air pollution remains a challenge due to the limitations of monitoring technology. Recent technology developments, such as reductions in the size and cost of samplers as well as incorporation of continuous sensors for location, activity, and exposure (i.e., global positioning systems [GPS], accelerometers, and low-cost pollutant sensors), have advanced our ability to assess personal exposure to air pollution. This study evaluated the upgraded Ultrasonic Personal Aerosol Sampler (UPAS v2.1 PLUS) as a tool for quantifying time-integrated indoor and personal exposure to particulate matter (PM) and black carbon (BC) among a panel of participants in California's Central Valley and exploring personal exposures in different microenvironments using time/location-resolved PM data. Three field campaigns demonstrated that filter-derived PM<sub>10</sub>, PM<sub>2.5</sub>, PM<sub>10</sub> BC, and PM<sub>2.5</sub> BC concentrations measured using the UPAS were linear, unbiased, and precise compared to those measured using conventional personal sampling equipment. Time-resolved PM, GPS, and light intensity data from the UPAS allowed for personal PM<sub>2.5</sub> exposure assessment across microenvironments. The majority of daily PM<sub>2.5</sub> exposure occurred inside the home. Participants with higher out-of-home PM<sub>2.5</sub> exposures received those exposures primarily in agricultural and in-transit environments, in accordance with their self-reported occupational exposures. This study demonstrated the UPAS v2.1 PLUS is a reliable and valid tool for characterizing indoor air pollution and personal exposures in both temporal and spatial dimensions. Its enhanced capabilities should reduce the burden of personal activity logging in the field and enable accurate and precise estimation of exposures for epidemiological and community-based research.
Authors
- Nayamin Martinez
- Jessica Tryner (ORCID: https://orcid.org/0000-0002-0522-4551)
- Grant Erlandson (ORCID: https://orcid.org/0000-0003-0232-5151)
- John Volckens (ORCID: https://orcid.org/0000-0002-7563-9525)
- Luis Ramírez (ORCID: https://orcid.org/0009-0003-6700-6511)
- Mollie Phillips
- Grace Kuiper (ORCID: https://orcid.org/0000-0003-4651-6283)
- Sherry WeMott (ORCID: https://orcid.org/0000-0002-5334-4777)
- Bonnie N. Young (ORCID: https://orcid.org/0000-0002-6524-2348)
- Sheryl Magzamen (ORCID: https://orcid.org/0000-0002-2874-3530)
- Xiaoying Li (ORCID: https://orcid.org/0000-0002-9932-6654)
- Daniel Dean (ORCID: https://orcid.org/0000-0002-6276-2524)
- Lorena Sanpedro
Institutions
- United States Department of Justice (US)
- Access Sensor Technologies (United States) (US)
- Colorado State University (US)
Publication Details
- Journal
- Aerosol Science and Technology
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1080/02786826.2024.2415481
- Citations
- 7
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 1.44
Funders
- National Institute of Environmental Health Sciences