Articles | Volume 18, issue 3
https://doi.org/10.5194/amt-18-817-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-817-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Performance evaluation of Atmotube PRO sensors for air quality measurements in an urban location
Aishah I. Shittu
CORRESPONDING AUTHOR
Institute for Climate and Atmospheric Science, University of Leeds, Leeds, UK
Department of Science Laboratory Technology, Federal Polytechnic Ilaro, Ilaro, Nigeria
Kirsty J. Pringle
Software Sustainability Institute, Edinburgh Parallel Computing Centre, University of Edinburgh, Edinburgh, UK
Stephen R. Arnold
Institute for Climate and Atmospheric Science, University of Leeds, Leeds, UK
Richard J. Pope
School of Earth and Environment, University of Leeds, Leeds, UK
National Centre for Earth Observation, University of Leeds, Leeds, UK
Ailish M. Graham
Institute for Climate and Atmospheric Science, University of Leeds, Leeds, UK
Carly Reddington
Institute for Climate and Atmospheric Science, University of Leeds, Leeds, UK
Richard Rigby
Centre for Environmental Modelling And Computation, University of Leeds, Leeds, UK
James B. McQuaid
Institute for Climate and Atmospheric Science, University of Leeds, Leeds, UK
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Cited
14 citations as recorded by crossref.
- Urban Cycling Lab: A citizen science protocol for assessing and reducing exposure to environmental stressors among bike commuters M. Rubio et al. https://doi.org/10.1016/j.mex.2025.103657
- Impacts of contemporaneous air pollution exposure on cognitive performance in Kenya X. Ma et al. https://doi.org/10.1016/j.jhealeco.2026.103166
- Validation and Correction of PM2.5 Mass Concentrations from Consumer-Grade Personal Exposure and Outdoor Fixed Monitors: A Two-Year Colocation Study in Colorado A. Khalili Hollo et al. https://doi.org/10.1021/acsenvironau.6c00020
- Evaluation of low-cost sensors for size-resolved indoor particle monitoring M. Ali et al. https://doi.org/10.1038/s41598-026-61453-2
- Managing and monitoring indoor air quality and surface decontamination in healthcare environments G. Cappelli et al. https://doi.org/10.2478/aiht-2025-76-4013
- Recalibration of low-cost O3 and PM2.5 sensors: linking practices to recent air sensor test protocols P. Gäbel & E. Hertig https://doi.org/10.5194/amt-19-1293-2026
- Characterizing air pollution exposure levels among school children: A citizen science study in Bradford, United Kingdom F. Moyo et al. https://doi.org/10.1016/j.cacint.2026.100484
- The Air We Breathe A. Paracha et al. https://doi.org/10.1016/j.iac.2026.08.009
- What Does Sensor Performance Really Mean? A Four-Layer Framework for Interpreting Air Quality Sensor Performance Evaluations S. Diez et al. https://doi.org/10.1021/acsestair.6c00166
- Indoor air quality in swiss primary schools: impacts of mechanical ventilation and seasonal variation B. Du et al. https://doi.org/10.1016/j.buildenv.2025.113146
- Evaluating personal air quality monitors for PM2.5 and CO2: Insights from a year-long pilot study S. Papathanasiou & C. Argyropoulos https://doi.org/10.1016/j.apr.2026.103210
- Quantifying Residential Particulate Pollution and Human Exposure in Ibadan, Nigeria, Using Low-Cost Sensors A. Shittu et al. https://doi.org/10.1007/s44408-025-00050-w
- Artificial Intelligence–Driven Wearable and Connected Technology for Allergy: Real-Time Monitoring and Predictive Management for Personalized Care G. Konstantinou et al. https://doi.org/10.1016/j.jaip.2025.09.013
- Stress-testing condensation-based atmospheric water generation under diesel exhaust T. Merlet et al. https://doi.org/10.1016/j.hazadv.2026.101521
14 citations as recorded by crossref.
- Urban Cycling Lab: A citizen science protocol for assessing and reducing exposure to environmental stressors among bike commuters M. Rubio et al. https://doi.org/10.1016/j.mex.2025.103657
- Impacts of contemporaneous air pollution exposure on cognitive performance in Kenya X. Ma et al. https://doi.org/10.1016/j.jhealeco.2026.103166
- Validation and Correction of PM2.5 Mass Concentrations from Consumer-Grade Personal Exposure and Outdoor Fixed Monitors: A Two-Year Colocation Study in Colorado A. Khalili Hollo et al. https://doi.org/10.1021/acsenvironau.6c00020
- Evaluation of low-cost sensors for size-resolved indoor particle monitoring M. Ali et al. https://doi.org/10.1038/s41598-026-61453-2
- Managing and monitoring indoor air quality and surface decontamination in healthcare environments G. Cappelli et al. https://doi.org/10.2478/aiht-2025-76-4013
- Recalibration of low-cost O3 and PM2.5 sensors: linking practices to recent air sensor test protocols P. Gäbel & E. Hertig https://doi.org/10.5194/amt-19-1293-2026
- Characterizing air pollution exposure levels among school children: A citizen science study in Bradford, United Kingdom F. Moyo et al. https://doi.org/10.1016/j.cacint.2026.100484
- The Air We Breathe A. Paracha et al. https://doi.org/10.1016/j.iac.2026.08.009
- What Does Sensor Performance Really Mean? A Four-Layer Framework for Interpreting Air Quality Sensor Performance Evaluations S. Diez et al. https://doi.org/10.1021/acsestair.6c00166
- Indoor air quality in swiss primary schools: impacts of mechanical ventilation and seasonal variation B. Du et al. https://doi.org/10.1016/j.buildenv.2025.113146
- Evaluating personal air quality monitors for PM2.5 and CO2: Insights from a year-long pilot study S. Papathanasiou & C. Argyropoulos https://doi.org/10.1016/j.apr.2026.103210
- Quantifying Residential Particulate Pollution and Human Exposure in Ibadan, Nigeria, Using Low-Cost Sensors A. Shittu et al. https://doi.org/10.1007/s44408-025-00050-w
- Artificial Intelligence–Driven Wearable and Connected Technology for Allergy: Real-Time Monitoring and Predictive Management for Personalized Care G. Konstantinou et al. https://doi.org/10.1016/j.jaip.2025.09.013
- Stress-testing condensation-based atmospheric water generation under diesel exhaust T. Merlet et al. https://doi.org/10.1016/j.hazadv.2026.101521
Saved (final revised paper)
Latest update: 05 Nov 2026
Short summary
The study highlighted the performance of Atmotube PRO sensor particulate matter (PM) data. The result showed inter-sensor variability among the Atmotube PRO sensor data. This study showed 62.5 % of the sensors used for the study exhibited greater precision in their PM2.5 measurements. The overall performance showed that sensors passed the base testing using 1 h averaged data and that a multiple linear regression model using relative humidity values improved the performance of the PM2.5 data.
The study highlighted the performance of Atmotube PRO sensor particulate matter (PM) data. The...
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