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Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
 

Article 

  1. Articles
  2. Volume 13, issue 5
  3. AMT, 13, 2413–2423, 2020

Multiple terms: term1 term2
red apples
returns results with all terms like:
Fructose levels inred andgreen apples

Precise match in quotes: "term1 term2"
"red apples"
returns results matching exactly like:
Anthocyanin biosynthesis inred apples

Exclude a term with -: term1 -term2
apples -red
returns results containingapples but notred:
Malic acid in greenapples

Articles |Volume 13, issue 5
https://doi.org/10.5194/amt-13-2413-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-2413-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
 | 
15 May 2020
Research article | | 15 May 2020

Laboratory evaluation of particle-size selectivity of optical low-cost particulate matter sensors

Joel Kuula,Timo Mäkelä,Minna Aurela,Kimmo Teinilä,Samu Varjonen,Óscar González,andHilkka Timonen

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Cited

109 citations as recorded by crossref.

  1. Investigation of indoor air quality in university residences using low-cost sensorsR. Afroz et al.10.1039/D2EA00149G
  2. AirMLP: A Multilayer Perceptron Neural Network for Temporal Correction of PM2.5 Values in TurinM. Casari et al.10.3390/s23239446
  3. Calibration method of ultra-low emission particulate concentration measurement by light scattering methodL. Hui10.1515/teme-2021-0114
  4. Effects of aerosol type and simulated aging on performance of low-cost PM sensorsJ. Tryner et al.10.1016/j.jaerosci.2020.105654
  5. Temporal variability and regional influences of PM2.5 in the West African cities of Abidjan (Côte d'Ivoire) and Accra (Ghana)J. Bahino et al.10.1039/D4EA00012A
  6. Performance evaluation of portable dual-spot micro-aethalometers for source identification of black carbon aerosols: application to wildfire smoke and traffic emissions in the Pacific NorthwestM. Chakraborty et al.10.5194/amt-16-2333-2023
  7. Air Quality Monitoring with Low-Cost Sensors: A Record of the Increase of PM2.5 during Christmas and New Year’s Eve Celebrations in the City of Queretaro, MexicoA. Rodríguez-Trejo et al.10.3390/atmos15080879
  8. What can we learn from nested IoT low‐cost sensor networks for air quality? A case study of PM2.5 in Birmingham, UKN. Cowell et al.10.1002/met.2220
  9. Application of PM 2.5 low-cost sensors for indoor air quality compliance monitoringL. Morawska et al.10.1080/02786826.2025.2457326
  10. Insights into low-cost pm sensors using size-resolved scattering intensity of cooking aerosols in a test houseA. Thakur et al.10.1080/02786826.2024.2342722
  11. Assessment of PM2.5 Exposure during Cycle Trips in The Netherlands Using Low-Cost SensorsJ. Wesseling et al.10.3390/ijerph18116007
  12. Calibration Method for Particulate Matter Low-Cost Sensors Used in Ambient Air Quality Monitoring and ResearchJ. Venkatraman Jagatha et al.10.3390/s21123960
  13. Particle number size distribution evaluation of Plantower PMS5003 low-cost PM sensors – a field experimentA. Caseiro et al.10.1039/D4EA00086B
  14. Field and laboratory evaluation of PurpleAir low-cost aerosol sensors in monitoring indoor airborne particlesS. Park et al.10.1016/j.buildenv.2023.110127
  15. Low-Cost Formaldehyde Sensor Evaluation and Calibration in a Controlled EnvironmentA. Chattopadhyay et al.10.1109/JSEN.2022.3172864
  16. SensEURCity: A multi-city air quality dataset collected for 2020/2021 using open low-cost sensor systemsM. Van Poppel et al.10.1038/s41597-023-02135-w
  17. Assessment of Low-Cost Particulate Matter Sensor Systems against Optical and Gravimetric Methods in a Field Co-Location in NorwayM. Vogt et al.10.3390/atmos12080961
  18. Challenges in Detecting Clouds in Polar Regions Using a Drone with Onboard Low-Cost Particle CounterJ. Inoue & K. Sato10.1016/j.atmosenv.2023.120085
  19. Investigating the Sensitivity of Low-Cost Sensors in Measuring Particle Number Concentrations across Diverse Atmospheric Conditions in Greece and SpainG. Kosmopoulos et al.10.3390/s23146541
  20. First in-Lab Testing of a Cost-Effective Prototype for PM2.5 Monitoring: The P.ALP AssessmentG. Fanti et al.10.3390/s24185915
  21. Real-Time Air Quality Monitoring: A Smart IoT System Using Low-Cost Sensors and 3-D PrintingA. Osa-Sanchez & B. Garcia-Zapirain10.1109/JRFID.2025.3541816
  22. Development and Testing of a Rocket-Based Sensor for Atmospheric Sensing Using an Unmanned Aerial SystemR. Thalman10.3390/s24061768
  23. Intelligent and Scalable Air Quality Monitoring With 5G EdgeX. Su et al.10.1109/MIC.2021.3059189
  24. Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic deviceJ. Taamté et al.10.1088/1748-0221/19/05/P05036
  25. Long‐Term Characterization of Indoor Air Quality at a Research Area Building: Comparing Reference Instruments and Low‐Cost SensorsM. Calvello et al.10.1155/2024/8799498
  26. Added Value of Vaisala AQT530 Sensors as a Part of a Sensor Network for Comprehensive Air Quality MonitoringT. Petäjä et al.10.3389/fenvs.2021.719567
  27. Response of low-cost sensors to high PM 2.5 concentrations during bushfire and haze eventsX. Liu et al.10.1080/02786826.2024.2368733
  28. Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, UtahK. Kaur & K. Kelly10.5194/amt-16-2455-2023
  29. Laboratory evaluation of the effects of particle size and composition on the performance of integrated devices containing Plantower particle sensorsY. Zou et al.10.1080/02786826.2021.1905148
  30. Learning Calibration Functions on the Fly: Hybrid Batch Online Stacking Ensembles for the Calibration of Low-Cost Air Quality Sensor Networks in the Presence of Concept DriftE. Bagkis et al.10.3390/atmos13030416
  31. EEATC: A Novel Calibration Approach for Low-Cost SensorsM. Narayana et al.10.1109/JSEN.2023.3304366
  32. City-Scale Air Quality Network of Low-Cost SensorsA. Masic10.3390/atmos15070798
  33. Challenges and Opportunities in Calibrating Low-Cost Environmental SensorsN. Nalakurthi et al.10.3390/s24113650
  34. Improving PM10 sensor accuracy in urban areas through calibration in TimișoaraR. Blaga & S. Gautam10.1038/s41612-024-00812-0
  35. Sizing Accuracy of Low-Cost Optical Particle Sensors Under Controlled Laboratory ConditionsP. Gautam et al.10.3390/atmos16050502
  36. High-resolution large-eddy simulation of indoor turbulence and its effect on airborne transmission of respiratory pathogens—Model validation and infection probability analysisM. Auvinen et al.10.1063/5.0076495
  37. Community-Based Measurements Reveal Unseen Differences during Air Pollution EpisodesK. Kelly et al.10.1021/acs.est.0c02341
  38. SENSORES DE MATERIAL PARTICULADO EN SUSPENSIÓN DE BAJO COSTO: INTEGRACIÓN AL MONITOREO DE LA CALIDAD DEL AIRED. Gomez & J. Vassallo10.22201/iingen.0718378xe.2023.16.3.86568
  39. Silicon Nitride Photonic Particle Detector—Experiments and Model AssessmentA. Buchberger et al.10.1109/JSEN.2021.3087633
  40. A Smoke Chamber Study on Some Low-Cost Sensors for Monitoring Size-Segregated Aerosol and Microclimatic ParametersL. Bencs & A. Nagy10.3390/atmos15030304
  41. Selective Detection of Functionalized Carbon Particles based on Polymer Semiconducting and Conducting Devices as Potential Particulate Matter SensorsY. Song et al.10.1002/smll.202310527
  42. Particulate matter in a lockdown home: evaluation, calibration, results and health risk from an IoT enabled low-cost sensor network for residential air quality monitoringN. Cowell et al.10.1039/D2EA00124A
  43. Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output SignalsK. Bučar et al.10.3390/s20236707
  44. Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution—Part B—Particle Number ConcentrationsF. Bulot et al.10.3390/s23177657
  45. Performance Evaluation of Five Different Low-Cost Particulate Matter Sensors for Monodisperse Test AerosolsM. Nothhelfer et al.10.1007/s44408-025-00019-9
  46. Evaluation and Application of a Novel Low-Cost Wearable Sensing Device in Assessing Real-Time PM2.5 Exposure in Major Asian Transportation ModesW. Wang et al.10.3390/atmos12020270
  47. Development and application of a United States-wide correction for PM2.5 data collected with the PurpleAir sensorK. Barkjohn et al.10.5194/amt-14-4617-2021
  48. Assessment of aerosol persistence in ICUs via low-cost sensor network and zonal modelsK. Glenn et al.10.1038/s41598-023-30778-7
  49. Citizen-operated mobile low-cost sensors for urban PM2.5 monitoring: field calibration, uncertainty estimation, and applicationA. Hassani et al.10.1016/j.scs.2023.104607
  50. Spatio-temporal analysis of bicyclists’ PM2.5 exposure levels in a medium sized urban agglomerationM. Tames et al.10.1007/s10661-024-13356-w
  51. Low-Cost Particulate Matter Sensors for Monitoring Residential Wood BurningA. Hassani et al.10.1021/acs.est.3c03661
  52. Real-time in situ monitoring of dust particle growth in a low-pressure nanodusty plasma based on laser-induced photodetachmentT. Donders & J. Beckers10.1063/5.0188876
  53. Evaluation of optical particulate matter sensors under realistic conditions of strong and mild urban pollutionA. Masic et al.10.5194/amt-13-6427-2020
  54. Size-Resolved Field Performance of Low-Cost Sensors for Particulate Matter Air PollutionE. Molina Rueda et al.10.1021/acs.estlett.3c00030
  55. Application and validation of a wearable monitor for assessing time- and location-resolved exposures to particulate matter in California’s Central ValleyX. Li et al.10.1080/02786826.2024.2415481
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  61. Ambient characterisation of PurpleAir particulate matter monitors for measurements to be considered as indicativeA. Caseiro et al.10.1039/D2EA00085G
  62. Seasonally optimized calibrations improve low-cost sensor performance: long-term field evaluation of PurpleAir sensors in urban and rural IndiaM. Campmier et al.10.5194/amt-16-4357-2023
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107 citations as recorded by crossref.

  1. Investigation of indoor air quality in university residences using low-cost sensorsR. Afroz et al.10.1039/D2EA00149G
  2. AirMLP: A Multilayer Perceptron Neural Network for Temporal Correction of PM2.5 Values in TurinM. Casari et al.10.3390/s23239446
  3. Calibration method of ultra-low emission particulate concentration measurement by light scattering methodL. Hui10.1515/teme-2021-0114
  4. Effects of aerosol type and simulated aging on performance of low-cost PM sensorsJ. Tryner et al.10.1016/j.jaerosci.2020.105654
  5. Temporal variability and regional influences of PM2.5 in the West African cities of Abidjan (Côte d'Ivoire) and Accra (Ghana)J. Bahino et al.10.1039/D4EA00012A
  6. Performance evaluation of portable dual-spot micro-aethalometers for source identification of black carbon aerosols: application to wildfire smoke and traffic emissions in the Pacific NorthwestM. Chakraborty et al.10.5194/amt-16-2333-2023
  7. Air Quality Monitoring with Low-Cost Sensors: A Record of the Increase of PM2.5 during Christmas and New Year’s Eve Celebrations in the City of Queretaro, MexicoA. Rodríguez-Trejo et al.10.3390/atmos15080879
  8. What can we learn from nested IoT low‐cost sensor networks for air quality? A case study of PM2.5 in Birmingham, UKN. Cowell et al.10.1002/met.2220
  9. Application of PM 2.5 low-cost sensors for indoor air quality compliance monitoringL. Morawska et al.10.1080/02786826.2025.2457326
  10. Insights into low-cost pm sensors using size-resolved scattering intensity of cooking aerosols in a test houseA. Thakur et al.10.1080/02786826.2024.2342722
  11. Assessment of PM2.5 Exposure during Cycle Trips in The Netherlands Using Low-Cost SensorsJ. Wesseling et al.10.3390/ijerph18116007
  12. Calibration Method for Particulate Matter Low-Cost Sensors Used in Ambient Air Quality Monitoring and ResearchJ. Venkatraman Jagatha et al.10.3390/s21123960
  13. Particle number size distribution evaluation of Plantower PMS5003 low-cost PM sensors – a field experimentA. Caseiro et al.10.1039/D4EA00086B
  14. Field and laboratory evaluation of PurpleAir low-cost aerosol sensors in monitoring indoor airborne particlesS. Park et al.10.1016/j.buildenv.2023.110127
  15. Low-Cost Formaldehyde Sensor Evaluation and Calibration in a Controlled EnvironmentA. Chattopadhyay et al.10.1109/JSEN.2022.3172864
  16. SensEURCity: A multi-city air quality dataset collected for 2020/2021 using open low-cost sensor systemsM. Van Poppel et al.10.1038/s41597-023-02135-w
  17. Assessment of Low-Cost Particulate Matter Sensor Systems against Optical and Gravimetric Methods in a Field Co-Location in NorwayM. Vogt et al.10.3390/atmos12080961
  18. Challenges in Detecting Clouds in Polar Regions Using a Drone with Onboard Low-Cost Particle CounterJ. Inoue & K. Sato10.1016/j.atmosenv.2023.120085
  19. Investigating the Sensitivity of Low-Cost Sensors in Measuring Particle Number Concentrations across Diverse Atmospheric Conditions in Greece and SpainG. Kosmopoulos et al.10.3390/s23146541
  20. First in-Lab Testing of a Cost-Effective Prototype for PM2.5 Monitoring: The P.ALP AssessmentG. Fanti et al.10.3390/s24185915
  21. Real-Time Air Quality Monitoring: A Smart IoT System Using Low-Cost Sensors and 3-D PrintingA. Osa-Sanchez & B. Garcia-Zapirain10.1109/JRFID.2025.3541816
  22. Development and Testing of a Rocket-Based Sensor for Atmospheric Sensing Using an Unmanned Aerial SystemR. Thalman10.3390/s24061768
  23. Intelligent and Scalable Air Quality Monitoring With 5G EdgeX. Su et al.10.1109/MIC.2021.3059189
  24. Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic deviceJ. Taamté et al.10.1088/1748-0221/19/05/P05036
  25. Long‐Term Characterization of Indoor Air Quality at a Research Area Building: Comparing Reference Instruments and Low‐Cost SensorsM. Calvello et al.10.1155/2024/8799498
  26. Added Value of Vaisala AQT530 Sensors as a Part of a Sensor Network for Comprehensive Air Quality MonitoringT. Petäjä et al.10.3389/fenvs.2021.719567
  27. Response of low-cost sensors to high PM 2.5 concentrations during bushfire and haze eventsX. Liu et al.10.1080/02786826.2024.2368733
  28. Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, UtahK. Kaur & K. Kelly10.5194/amt-16-2455-2023
  29. Laboratory evaluation of the effects of particle size and composition on the performance of integrated devices containing Plantower particle sensorsY. Zou et al.10.1080/02786826.2021.1905148
  30. Learning Calibration Functions on the Fly: Hybrid Batch Online Stacking Ensembles for the Calibration of Low-Cost Air Quality Sensor Networks in the Presence of Concept DriftE. Bagkis et al.10.3390/atmos13030416
  31. EEATC: A Novel Calibration Approach for Low-Cost SensorsM. Narayana et al.10.1109/JSEN.2023.3304366
  32. City-Scale Air Quality Network of Low-Cost SensorsA. Masic10.3390/atmos15070798
  33. Challenges and Opportunities in Calibrating Low-Cost Environmental SensorsN. Nalakurthi et al.10.3390/s24113650
  34. Improving PM10 sensor accuracy in urban areas through calibration in TimișoaraR. Blaga & S. Gautam10.1038/s41612-024-00812-0
  35. Sizing Accuracy of Low-Cost Optical Particle Sensors Under Controlled Laboratory ConditionsP. Gautam et al.10.3390/atmos16050502
  36. High-resolution large-eddy simulation of indoor turbulence and its effect on airborne transmission of respiratory pathogens—Model validation and infection probability analysisM. Auvinen et al.10.1063/5.0076495
  37. Community-Based Measurements Reveal Unseen Differences during Air Pollution EpisodesK. Kelly et al.10.1021/acs.est.0c02341
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Latest update: 06 Jul 2025
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Short summary
Particle-size-dependent detection ranges of low-cost particulate matter sensors were evaluated in a laboratory experiment. Six different sensor models were evaluated altogether. The results showed that none of the sensor models adhered to the technical specifications provided by the manufacturers, and thus a high risk of sensor misuse is posed. It is paramount that the limitations regarding the particle size discrimination of low-cost sensors are acknowledged properly.
Particle-size-dependent detection ranges of low-cost particulate matter sensors were evaluated...
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