Design, implementation and validation of a tool based on Artificial Intelligence to monitor in real time the presence of PFAS in the resources of the SUDOE space. Technologies developed in the project, divided into 2 groups: optical sensors for real-time PFAS monitoring and technologies for the reduction or elimination of PFAS in the waters of natural areas of SUDOE, including processes of adsorption, degradation and monitoring of gases emitted into the atmosphere in the degradation of PFAS.