Response Characterization of an Inexpensive Aerosol Sensor
Overview
Affiliations
Inexpensive aerosol sensors have been considered as a complementary option to address the issue of expensive but low spatial coverage air quality monitoring networks. However, the accuracy and response characteristics of these sensors is poorly documented. In this study, inexpensive Shinyei PPD42NS and PPD60PV sensors were evaluated using a novel laboratory evaluation method. A continuously changing monodisperse size distribution of particles was generated using a Vibrating Orifice Aerosol Generator. Furthermore, the laboratory results were validated in a field experiment. The laboratory tests showed that both of the sensors responded to particulate mass (PM) concentration stimulus, rather than number concentration. The highest detection efficiency for the PPD42NS was within particle size range of 2.5-4 µm, and the respective optimal size range for the PPD60PV was 0.7-1 µm. The field test yielded high PM correlations (R² = 0.962 and R² = 0.986) for viable detection ranges of 1.6-5 and 0.3-1.6 µm, when compared to a medium cost optical dust monitor. As the size distribution of atmospheric particles tends to be bimodal, it is likely that indicatively valid results could be obtained for the PM size fraction (particulate mass in size range 2.5-10 µm) with the PPD42NS sensor. Respectively, the PPD60PV could possibly be used to measure the PM size fraction (particulate mass in size below 2.5 µm).
Tang H, Cai Y, Gao S, Sun J, Ning Z, Yu Z Sensors (Basel). 2024; 24(11).
PMID: 38894239 PMC: 11174656. DOI: 10.3390/s24113448.
Johnson K, Bergin M, Russell A, Hagler G Aerosol Air Qual Res. 2020; 18(3):565-578.
PMID: 32704250 PMC: 7377251. DOI: 10.4209/aaqr.2017.10.0418.
Sahu R, Dixit K, Mishra S, Kumar P, Shukla A, Sutaria R Sensors (Basel). 2020; 20(5).
PMID: 32121462 PMC: 7085545. DOI: 10.3390/s20051347.
Evaluation of a 10 nm Particle Number Portable Emissions Measurement System (PEMS).
Giechaskiel B, Mamakos A, Woodburn J, Szczotka A, Bielaczyc P Sensors (Basel). 2019; 19(24).
PMID: 31847386 PMC: 6960637. DOI: 10.3390/s19245531.
A New Black Carbon Sensor for Dense Air Quality Monitoring Networks.
Caubel J, Cados T, Kirchstetter T Sensors (Basel). 2018; 18(3).
PMID: 29494528 PMC: 5876553. DOI: 10.3390/s18030738.