The approach to adjusting commercial PM_2.5 sensors with a filter-based gravimetric method

The measurements of temporal change to indoor contaminant concentrations are critical understanding pollution characteristics. As commercial sensors becoming increasingly commonplace, concentration accuracy is still a issue. most common methods for measuring particulate pollutants based on filter-based gravimetric methods. However, the method expensive, time-consuming, and often provides little information. More more utilized collect larger information about air pollutants. Nevertheless, limited data support so far. Thus, this study aims evaluate performance sensors. PM 2.5 were collected 30 days by personal environmental monitors with an airflow 2 L/min 37-mm Teflon filters sensors, simultaneously in three-story house. Moreover, intra-sensor comparison was conducted 24 hours resolution 1 minute. Finally, linear regression model built adjust results revealed that average coefficient variation (CV value) under 10% R adjusted equation 0.9394. We provide accurate estimate association between exposure health.