An IoT measurement system for a tailored monitoring of CO2 and total volatile organic compounds inside face masks

This paper proposes an innovative IoT-based system for monitoring air quality inside protective equipment such as FFP2 masks, which have become more widespread due to the COVID-19 pandemic. The system aims to provide diagnostic elements to specialist doctors and suggest a healthier use of the mask by monitoring the concentration of pollutants. The system aggregates data over a 15-minute window and calculates average values for each measured parameter, comparing them with reference thresholds to suggest removing the mask if necessary. An innovative aspect is personalized monitoring of exhaled breath, specifically Volatile Organic Compounds (VOCs), providing a customized and reliable information framework for doctors. This is possible thanks to the integration of removable memories, inside which the user's personal information and metrological characteristics of the system are stored in a standardized form. The proposed platform is accessible to both users and doctors, enabling early diagnosis by providing a complete picture of the patient's specific condition. This solution can have a strong impact on daily life and well-being, especially for diseases that increase the presence of certain compounds in the exhaled breath.