Portable Sensors for Dynamic Exposure Assessments in Urban Environments: State of the Science

• Published in: Sensors (Basel, Switzerland) Switzerland), 2024-08, Vol.24 (17), p.5653
• Main Authors: Hofman, Jelle, Lazarov, Borislav, Stroobants, Christophe, Elst, Evelyne, Smets, Inge, Van Poppel, Martine
• Format: Article
• Language: English
• Subjects: Accuracy; Air Pollutants - analysis; Air pollution; air quality; Aluminum; assessment; Calibration; citizens; Environmental Exposure - analysis; Environmental Monitoring - instrumentation; Environmental Monitoring - methods; exposure; Humans; Humidity; Laboratories; Localization; Nitrogen dioxide; Nitrogen Dioxide - analysis; Outdoor air quality; Particulate Matter - analysis; Pollutants; Sensors; Smartphones; validation
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s24175653

This study presents a fit-for-purpose lab and field evaluation of commercially available portable sensor systems for PM, NO , and/or BC. The main aim of the study is to identify portable sensor systems that are capable of reliably quantifying dynamic exposure gradients in urban environments. After an initial literature and market study resulting in 39 sensor systems, 10 sensor systems were ultimately purchased and benchmarked under laboratory and real-word conditions. We evaluated the comparability to reference analyzers, sensor precision, and sensitivity towards environmental confounders (temperature, humidity, and O ). Moreover, we evaluated if the sensor accuracy can be improved by applying a lab or field calibration. Because the targeted application of the sensor systems under evaluation is mobile monitoring, we conducted a mobile field test in an urban environment to evaluate the GPS accuracy and potential impacts from vibrations on the resulting sensor signals. Results of the considered sensor systems indicate that out-of-the-box performance is relatively good for PM (R = 0.68-0.9, Uexp = 16-66%, BSU = 0.1-0.7 µg/m ) and BC (R = 0.82-0.83), but maturity of the tested NO sensors is still low (R = 0.38-0.55, Uexp = 111-614%) and additional efforts are needed in terms of signal noise and calibration, as proven by the performance after multilinear calibration (R = 0.75-0.83, Uexp = 37-44%)). The horizontal accuracy of the built-in GPS was generally good, achieving