Articles | Volume 16, issue 10
https://doi.org/10.5194/amt-16-2455-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-16-2455-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 May 2023
Research article |
| 24 May 2023
| 24 May 2023
Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah
Kamaljeet Kaur
Department of Chemical Engineering, University of Utah, Salt Lake City, UT 84102, USA
Department of Chemical Engineering, University of Utah, Salt Lake City, UT 84102, USA
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Cited
19 citations as recorded by crossref.
- Dust Under the Radar: Rethinking How to Evaluate the Impacts of Dust Events on Air Quality in the United States K. Ardon‐Dryer et al. 10.1029/2023GH000953
- Towards a hygroscopic growth calibration for low-cost PM2.5 sensors M. Patel et al. 10.5194/amt-17-1051-2024
- Advancing air quality monitoring: A low-cost sensor network in motion – Part I C. Correia et al. 10.1016/j.jenvman.2024.121179
- Evaluation of Long-Term Performance of Six PM2.5 Sensor Types K. Barkjohn et al. 10.3390/s25041265
- Benchmarking Low-Cost Particulate Matter Sensors: Evaluating Performance Under Controlled Environmental Conditions Using Low-Cost Experimental Setups A. Alvarez Cruz et al. 10.3390/atmos16020172
- Life cycle management of capital construction object with minimization of atmospheric air pollution V. Azarov et al. 10.22227/1997-0935.2024.3.456-468
- Application and validation of a wearable monitor for assessing time- and location-resolved exposures to particulate matter in California’s Central Valley X. Li et al. 10.1080/02786826.2024.2415481
- Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data K. Barkjohn et al. 10.1021/acsestair.4c00125
- Particle number size distribution evaluation of Plantower PMS5003 low-cost PM sensors – a field experiment A. Caseiro et al. 10.1039/D4EA00086B
- How do environmental and operational factors impact particulate matter dynamics in building construction? - Insights from real-time sensing X. Fang et al. 10.1016/j.jenvman.2025.125098
- Environmental Quality bOX (EQ-OX): A Portable Device Embedding Low-Cost Sensors Tailored for Comprehensive Indoor Environmental Quality Monitoring J. Corona et al. 10.3390/s24072176
- Fundamentals of low-cost aerosol sensor design and operation J. Ouimette et al. 10.1080/02786826.2023.2285935
- Spatial analysis of PM2.5 using a concentration similarity index applied to air quality sensor networks R. Byrne et al. 10.5194/amt-17-5129-2024
- Varying Performance of Low-Cost Sensors During Seasonal Smog Events in Moravian-Silesian Region V. Nevrlý et al. 10.3390/atmos15111326
- Determination of Hygroscopic Aerosol Growth Based on the OPC-N3 Counter K. Nurowska & K. Markowicz 10.3390/atmos15010061
- Development of a Unified IoT Platform for Assessing Meteorological and Air Quality Data in a Tropical Environment D. Kairuz-Cabrera et al. 10.3390/s24092729
- Pro-inflammatory effects of inhaled Great Salt Lake dust particles J. Cowley et al. 10.1186/s12989-025-00618-9
- Low-Cost PM2.5 Sensor Performance Characteristics against Meteorological Influence in Sub-Saharan Africa: Evidence from the Air Sensor Evaluation and Training Facility for the West Africa Project J. Nimo et al. 10.1021/acs.est.4c09752
- Correlating Air Pollution Concentrations and Vehicular Emissions in an Italian Roadway Tunnel by Means of Low Cost Sensors S. De Vito et al. 10.3390/atmos14040679
18 citations as recorded by crossref.
- Dust Under the Radar: Rethinking How to Evaluate the Impacts of Dust Events on Air Quality in the United States K. Ardon‐Dryer et al. 10.1029/2023GH000953
- Towards a hygroscopic growth calibration for low-cost PM2.5 sensors M. Patel et al. 10.5194/amt-17-1051-2024
- Advancing air quality monitoring: A low-cost sensor network in motion – Part I C. Correia et al. 10.1016/j.jenvman.2024.121179
- Evaluation of Long-Term Performance of Six PM2.5 Sensor Types K. Barkjohn et al. 10.3390/s25041265
- Benchmarking Low-Cost Particulate Matter Sensors: Evaluating Performance Under Controlled Environmental Conditions Using Low-Cost Experimental Setups A. Alvarez Cruz et al. 10.3390/atmos16020172
- Life cycle management of capital construction object with minimization of atmospheric air pollution V. Azarov et al. 10.22227/1997-0935.2024.3.456-468
- Application and validation of a wearable monitor for assessing time- and location-resolved exposures to particulate matter in California’s Central Valley X. Li et al. 10.1080/02786826.2024.2415481
- Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data K. Barkjohn et al. 10.1021/acsestair.4c00125
- Particle number size distribution evaluation of Plantower PMS5003 low-cost PM sensors – a field experiment A. Caseiro et al. 10.1039/D4EA00086B
- How do environmental and operational factors impact particulate matter dynamics in building construction? - Insights from real-time sensing X. Fang et al. 10.1016/j.jenvman.2025.125098
- Environmental Quality bOX (EQ-OX): A Portable Device Embedding Low-Cost Sensors Tailored for Comprehensive Indoor Environmental Quality Monitoring J. Corona et al. 10.3390/s24072176
- Fundamentals of low-cost aerosol sensor design and operation J. Ouimette et al. 10.1080/02786826.2023.2285935
- Spatial analysis of PM2.5 using a concentration similarity index applied to air quality sensor networks R. Byrne et al. 10.5194/amt-17-5129-2024
- Varying Performance of Low-Cost Sensors During Seasonal Smog Events in Moravian-Silesian Region V. Nevrlý et al. 10.3390/atmos15111326
- Determination of Hygroscopic Aerosol Growth Based on the OPC-N3 Counter K. Nurowska & K. Markowicz 10.3390/atmos15010061
- Development of a Unified IoT Platform for Assessing Meteorological and Air Quality Data in a Tropical Environment D. Kairuz-Cabrera et al. 10.3390/s24092729
- Pro-inflammatory effects of inhaled Great Salt Lake dust particles J. Cowley et al. 10.1186/s12989-025-00618-9
- Low-Cost PM2.5 Sensor Performance Characteristics against Meteorological Influence in Sub-Saharan Africa: Evidence from the Air Sensor Evaluation and Training Facility for the West Africa Project J. Nimo et al. 10.1021/acs.est.4c09752
Latest update: 28 Mar 2025
Short summary
We evaluated the AlphaSense OPC-N3 and PMS5003 compared to federal equivalent method (FEM) PM10 measurements in the Salt Lake Valley during five dust events. Before correction, the OPC-N3 agreed well, but the PMS PM10 measurements correlated poorly with the FEM. After correcting the PMS with a PM2.5 / PM10 ratio-based factor, the PMS PM10 correlations improved significantly. This suggests the possibility of better resolved spatial estimates of PM10 using PMS measurements and PM2.5 / PM10 ratios.
We evaluated the AlphaSense OPC-N3 and PMS5003 compared to federal equivalent method (FEM) PM10...
