Dear Colleagues,

Air quality monitoring (AQM) is essential for public health preservation. Air pollutants are responsible for the negative implications for the cardiovascular, respiratory, and nervous system. The main sources of such pollutants can be identified in traffic emissions, industrial pollution, and also in indoor activities. Environmental protection agencies are in charge of monitoring the concentration levels of the main air pollutants, such as NO₂, NO, CO, O₃, PM₁₀, PM_2.5, and PM₁, through the use of conventional fixed monitoring stations based on accurate but expensive, bulky, energy-consuming, and maintenance-demanding instrumentations. All these factors limit the deployment of monitoring stations on the territory, preventing the building of spatiotemporal high-resolution air pollutant maps. One of the consequences of this issue is that common citizens cannot assess their personal exposure to air pollutants in real time using information provided by governmental agencies. In recent years, the development of innovative low-cost miniaturized sensors (LCMSs) for AQM has offered a possible solution to this issue, but the use of such devices does not guarantee the same accuracy featuring conventional instrumentation. The quality of data provided by LCMSs heavily depends on their construction technology, calibration model, and the supporting electronics. All these factors can affect the baseline drift of LCMSs, their cross-sensitivity, their linearity, or their long-term stability, which in turn can limit their overall performance. For all these reasons, the use of monitors based on LCMSs for AQM is still under investigation by several researchers and institutions. The aim and the scope of this Special Issue is therefore focused on research articles or review articles concerning advances in the use of devices, monitors, and instruments based on LCMSs for AQM. Thus, the submitted papers can include topics such as:

- Case studies of real-time AQM through monitors based on LCMSs;

- Calibration models and techniques of LCMSs or LCMS-based monitors;

- Evaluation of LCMSs or LCMS-based monitors for AQM;

- Use of wireless networks based on LCMS monitors for AQM;

- Data treatment of LCMS or LCMS-based monitors.

Dr. Domenico Suriano
Guest Editor

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• air quality monitoring
• real-time air pollutant monitoring
• low-cost gas sensors
• low-cost pm sensors
• wireless networks
• calibration models