2022
DOI: 10.1038/s41598-022-18200-0
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Feasibility of low-cost particle sensor types in long-term indoor air pollution health studies after repeated calibration, 2019–2021

Abstract: 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 we… Show more

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Cited by 6 publications
(7 citation statements)
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“…In China and the United States, Air beam units were used for spatial modeling of particulate matter air pollution sensor measurements collected by community scientists while cycling, land use regression with spatial cross-validation, and applications of machine learning for data correction; feasibility and acceptability of monitoring personal air pollution exposure with sensors for asthma self-management (Adams et al, 2020; Guevara-Luna et al, 2020; Xie et al, 2021). Although air sensors are not a replacement for regulatory monitors, they entail a valuable teaching tool (Anastasiou et al, 2022). The data may help the general public better understand the air quality in their communities.…”
Section: Methodsmentioning
confidence: 99%
“…In China and the United States, Air beam units were used for spatial modeling of particulate matter air pollution sensor measurements collected by community scientists while cycling, land use regression with spatial cross-validation, and applications of machine learning for data correction; feasibility and acceptability of monitoring personal air pollution exposure with sensors for asthma self-management (Adams et al, 2020; Guevara-Luna et al, 2020; Xie et al, 2021). Although air sensors are not a replacement for regulatory monitors, they entail a valuable teaching tool (Anastasiou et al, 2022). The data may help the general public better understand the air quality in their communities.…”
Section: Methodsmentioning
confidence: 99%
“… 39 , 40 A significant body of research has now been done to test and use LCS for personal exposure monitoring, demonstrating their potential for use in research, with proper quality control. 38 , 39 , 41 , 42 Importantly, their advantages make low-cost sensors a strong candidate for studies in LMIC, where resources for environmental monitoring are more scarce.…”
Section: Gaps In Monitoring Methods and Technological Limitationsmentioning
confidence: 99%
“…Despite the numerous advantages of low-cost air monitoring sensors, their accuracy may be limited as measurements can be biased by variations in the ambient environment, inter-instrument variability, limitations in the range of concentrations that can be measured, and concentration plateauing due to signal saturation above certain levels - typically above 100 μg/m 3 . 41 , 43 They have also been found to underperform in lower pollution settings, demonstrating poor agreement with more advance instruments below 40 μg/m 3 . 44 Therefore, they are most accurate and have high agreement with reference instruments only within a particular range.…”
Section: Gaps In Monitoring Methods and Technological Limitationsmentioning
confidence: 99%
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