Articles | Volume 17, issue 12
https://doi.org/10.5194/amt-17-3809-2024
© Author(s) 2024. 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-17-3809-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Long-term evaluation of commercial air quality sensors: an overview from the QUANT (Quantification of Utility of Atmospheric Network Technologies) study
Centro de Investigación en Tecnologías para la Sociedad, Universidad del Desarrollo, Santiago, CP 7550000, Chile
Wolfson Atmospheric Chemistry Laboratories, University of York, York, YO10 5DD, UK
Stuart Lacy
Wolfson Atmospheric Chemistry Laboratories, University of York, York, YO10 5DD, UK
Department of Earth and Environmental Science, Centre for Atmospheric Science, School of Natural Sciences, The University of Manchester, Manchester, M13 9PL, UK
Josefina Urquiza
Grupo de Estudios de la Atmósfera y el Ambiente (GEAA), Universidad Tecnológica Nacional, Facultad Regional Mendoza (UTN-FRM), Cnel. Rodriguez 273, Mendoza, 5501, Argentina
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, C1425FQB, Argentina
Max Priestman
MRC Centre for Environment and Health, Environmental Research Group, Imperial College, London, W12 0BZ, UK
Michael Flynn
Department of Earth and Environmental Science, Centre for Atmospheric Science, School of Natural Sciences, The University of Manchester, Manchester, M13 9PL, UK
Nicholas Marsden
Department of Earth and Environmental Science, Centre for Atmospheric Science, School of Natural Sciences, The University of Manchester, Manchester, M13 9PL, UK
Nicholas A. Martin
Air Quality and Aerosol Metrology Group, National Physical Laboratory, Teddington, TW11 0LW, UK
Stefan Gillott
MRC Centre for Environment and Health, Environmental Research Group, Imperial College, London, W12 0BZ, UK
Thomas Bannan
Department of Earth and Environmental Science, Centre for Atmospheric Science, School of Natural Sciences, The University of Manchester, Manchester, M13 9PL, UK
Wolfson Atmospheric Chemistry Laboratories, University of York, York, YO10 5DD, UK
National Centre for Atmospheric Science, University of York, York, UK
Editorial note: the supplement has been replaced on 19 July 2024 due to an error in Eq. (S6), which has now been corrected.
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Cited
10 citations as recorded by crossref.
- A framework for advancing independent air quality sensor measurements via transparent data generating process classification S. Diez et al. 10.1038/s41612-025-01161-2
- Performance evaluation of Atmotube PRO sensors for air quality measurements in an urban location A. Shittu et al. 10.5194/amt-18-817-2025
- East African City Centers Show Lower PM2.5 Levels than Their Suburbs S. Chua et al. 10.1021/acs.estlett.5c00451
- QUANT: a long-term multi-city commercial air sensor dataset for performance evaluation S. Diez et al. 10.1038/s41597-024-03767-2
- Marketing Strategies in Nanomaterials for Sensor Applications: Bridging Lab to Market A. Singh et al. 10.1002/gch2.202400294
- Calibration and validation-based assessment of low-cost air quality sensors J. Dong et al. 10.1016/j.scitotenv.2025.179364
- Real-time field measurements of bioaerosols in the agricultural environment: Concentrations, components and environmental impacts Z. Chen et al. 10.1016/j.jenvman.2025.127033
- A Scalable Calibration Method for Enhanced Accuracy in Dense Air Quality Monitoring Networks A. Winter et al. 10.1021/acs.est.4c08855
- Assessment of harmful gases emission and its impact using IoT and geospatial technology U. Elangovan et al. 10.1016/j.measurement.2024.115966
- Low-Cost Solution for Air Quality Monitoring: Unmanned Aerial System and Data Transmission via LoRa Protocol F. Parra-Medina et al. 10.3390/su162210108
10 citations as recorded by crossref.
- A framework for advancing independent air quality sensor measurements via transparent data generating process classification S. Diez et al. 10.1038/s41612-025-01161-2
- Performance evaluation of Atmotube PRO sensors for air quality measurements in an urban location A. Shittu et al. 10.5194/amt-18-817-2025
- East African City Centers Show Lower PM2.5 Levels than Their Suburbs S. Chua et al. 10.1021/acs.estlett.5c00451
- QUANT: a long-term multi-city commercial air sensor dataset for performance evaluation S. Diez et al. 10.1038/s41597-024-03767-2
- Marketing Strategies in Nanomaterials for Sensor Applications: Bridging Lab to Market A. Singh et al. 10.1002/gch2.202400294
- Calibration and validation-based assessment of low-cost air quality sensors J. Dong et al. 10.1016/j.scitotenv.2025.179364
- Real-time field measurements of bioaerosols in the agricultural environment: Concentrations, components and environmental impacts Z. Chen et al. 10.1016/j.jenvman.2025.127033
- A Scalable Calibration Method for Enhanced Accuracy in Dense Air Quality Monitoring Networks A. Winter et al. 10.1021/acs.est.4c08855
- Assessment of harmful gases emission and its impact using IoT and geospatial technology U. Elangovan et al. 10.1016/j.measurement.2024.115966
- Low-Cost Solution for Air Quality Monitoring: Unmanned Aerial System and Data Transmission via LoRa Protocol F. Parra-Medina et al. 10.3390/su162210108
Latest update: 27 Aug 2025
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Short summary
In this paper we present an overview of the QUANT project, which to our knowledge is one of the largest evaluations of commercial sensors to date. The objective was to evaluate the performance of a range of commercial products and also to nourish the different applications in which these technologies can offer relevant information.
In this paper we present an overview of the QUANT project, which to our knowledge is one of the...