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Lidia Morawska's  paper provides a pragmatic framework for using low-cost PM2.5 sensors in regulatory indoor air quality monitoring, solving the longstanding problem of affordable compliance without sacrificing accuracy. This clever calibration system transforms inexpensive sensors into reliable monitoring networks by using yearly reference calibrations of key sensors and applying correction factors across similar devices.

• Low-cost sensors have revolutionized air quality monitoring but face accuracy challenges with PM2.5 measurement
• Traditional reference monitors are too expensive and complex for widespread indoor deployment
• Morawska's framework uses a network approach with designated reference sensors
• Annual calibration of key sensors against reference instruments provides correction factors for the entire network
• The system could include a central database of correction factors to prevent duplication of effort
• This approach enables dynamic ventilation control based on reliable PM2.5 measurements
• The framework moves us from "guessing and hoping" to "measuring and knowing"
• Implementation would provide accountability and evidence for meeting health-based building standards

Application of PM2.5 low-cost sensors for indoor
air quality compliance monitoring

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