A surrogate-assisted measurement correction method for accurate and low-cost monitoring of particulate matter pollutants

•Air pollution is important environmental and economic problem.•Mobile devices for air monitoring can be used to prevent/reduce pollution exposure.•Modular mobile platform for particulate matter (PM) monitoring has been proposed.•PM data from low-cost sensor is corrected using a dedicated bi-stage algorithm.•The approach offers high PM measurement accuracy at a low post-processing cost.