Articles | Volume 15, issue 24
https://doi.org/10.5194/amt-15-7395-2022
https://doi.org/10.5194/amt-15-7395-2022
Research article
 | 
22 Dec 2022
Research article |  | 22 Dec 2022

Evaluation of a low-cost dryer for a low-cost optical particle counter

Miriam Chacón-Mateos, Bernd Laquai, Ulrich Vogt, and Cosima Stubenrauch

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Cited articles

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Badura, M., Batog, P., Drzeniecka-Osiadacz, A., and Modzel, P.: Regression methods in the calibration of low-cost sensors for ambient particulate matter measurements, SN Appl. Sci., 1, 622, https://doi.org/10.1007/s42452-019-0630-1, 2019. 
Barkjohn, K. K., Gantt, B., and Clements, A. L.: Development and application of a United States-wide correction for PM2.5 data collected with the PurpleAir sensor, Atmos. Meas. Tech., 14, 4617–4637, https://doi.org/10.5194/amt-14-4617-2021, 2021. 
Boucher, O.: Atmospheric Aerosols: Properties and Climate Impacts, Springer-Verlag, s.l., 311 pp., https://doi.org/10.1007/978-94-017-9649-1, 2015. 
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Short summary
The study evaluates a low-cost dryer to avoid the negative effect of hygroscopic growth and fog droplets in the particulate matter (PM) concentrations of sensors. The results show a reduction in the overestimation of the PM but also an underestimation compared to reference devices. Special care is needed when designing a dryer as high temperatures change the sampled air by evaporating the most volatile particulate species. Low-cost dryers are very promising for different sensor applications.
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