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Response Characterization of an Inexpensive Aerosol Sensor
Joel Kuula1, Timo Mäkelä2, Risto Hillamo3
1Finnish Meteorological Institue, Erik Palmenin aukio 1, FIN-00560 Helsinki, Finland. joel.kuula@fmi.fi.
Sensors (Basel, Switzerland)
|December 16, 2017
Summary
Inexpensive aerosol sensors, Shinyei PPD42NS and PPD60PV, show potential for air quality monitoring. These sensors respond to particulate mass concentration, with specific size ranges for accurate detection, complementing existing networks.
Area of Science:
- Environmental Science
- Atmospheric Science
- Sensor Technology
Background:
- Existing air quality monitoring networks suffer from low spatial coverage due to high costs.
- Inexpensive aerosol sensors offer a potential solution but lack documented accuracy and response characteristics.
- Evaluating low-cost sensors is crucial for expanding air quality monitoring capabilities.
Purpose of the Study:
- To evaluate the accuracy and response characteristics of inexpensive Shinyei PPD42NS and PPD60PV aerosol sensors.
- To compare laboratory findings with field experiment validation.
- To determine the suitability of these sensors for specific particulate matter (PM) size fractions.
Main Methods:
- A novel laboratory evaluation method using a Vibrating Orifice Aerosol Generator to create a continuously changing, monodisperse particle size distribution.
- Generation of particulate mass (PM) concentration stimulus.
- Field experiment validation against a medium-cost optical dust monitor.
Main Results:
- Both sensors responded to particulate mass concentration, not number concentration.
- PPD42NS sensor showed highest detection efficiency for particle sizes 2.5-4 µm; PPD60PV for 0.7-1 µm.
- Field tests showed high PM correlations (R² = 0.962 for PPD42NS, R² = 0.986 for PPD60PV) within viable detection ranges.
Conclusions:
- The PPD42NS sensor is suitable for indicative measurement of PM10-2.5 (2.5-10 µm).
- The PPD60PV sensor is potentially useful for measuring PM2.5 (< 2.5 µm).
- These inexpensive sensors can complement existing air quality networks, providing valuable data for specific particulate matter fractions.

