Feasibility of low-cost particle sensor types in long-term indoor air pollution health studies after repeated calibration, 2019–2021

Previous studies have explored using calibrated low-cost particulate matter (PM) sensors, but important research gaps remain regarding long-term performance and reliability. Evaluate longitudinal performance of low-cost particle sensors by measuring sensor performance changes over 2 years of use. 51...

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Bibliographic Details
Published in:Scientific reports 2022-08, Vol.12 (1), p.14571-8, Article 14571
Main Authors: Anastasiou, Elle, Vilcassim, M. J. Ruzmyn, Adragna, John, Gill, Emily, Tovar, Albert, Thorpe, Lorna E., Gordon, Terry
Format: Article
Language:English
Subjects:
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639/301
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Air Pollutants
Air Pollution
Air Pollution, Indoor
Airborne particulates
Calibration
Cigarette smoke
Environmental Monitoring
Feasibility Studies
Humanities and Social Sciences
Indoor air pollution
Indoor air quality
Indoor environments
multidisciplinary
Particulate Matter
Pollution studies
Reproducibility of Results
Science
Science (multidisciplinary)
Sensors
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Summary:Previous studies have explored using calibrated low-cost particulate matter (PM) sensors, but important research gaps remain regarding long-term performance and reliability. Evaluate longitudinal performance of low-cost particle sensors by measuring sensor performance changes over 2 years of use. 51 low-cost particle sensors (Airbeam 1 N = 29; Airbeam 2 N = 22) were calibrated four times over a 2-year timeframe between 2019 and 2021. Cigarette smoke-specific calibration curves for Airbeam 1 and 2 PM sensors were created by directly comparing simultaneous 1-min readings of a Thermo Scientific Personal DataRAM PDR-1500 unit with a 2.5 µm inlet. Inter-sensor variability in calibration coefficient was high, particularly in Airbeam 1 sensors at study initiation. Calibration coefficients for both sensor types trended downwards over time to
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-18200-0