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PM2.5 Particle Sensing and Fit Factor Test of a Respirator with SAW-Based Sensor (open access)

PM2.5 Particle Sensing and Fit Factor Test of a Respirator with SAW-Based Sensor

PM2.5 particle sensing has been done using surface acoustic wave based sensor for two different frequencies. Due to mass loading and elasticity loading on the sensor's surface, the center frequency of the sensor shifts. The particle concentration can be tracked based on that frequency shift. The fit factor test has been conducted using higher frequency SAW sensor. The consist results has been achieved for particle sensing and fit factor test with SAW based sensor.
Date: May 2023
Creator: Desai, Mitali Hardik
System: The UNT Digital Library