摘要
Per- and polyfluoroalkyl substances (PFAS) have emerged as persistent wastewater pollutants, necessitating effective remediation strategies. Electrooxidation (EO) can stand out as a promising approach, with ongoing research focusing on refining the process through an integrated framework. A comprehensive outline of recent advancements in electrooxidation is provided, highlighting the pivotal roles of software modelling, reactor optimisation, and anode materials is presented. Analysis of recent studies shows that software has become a cornerstone in understanding and predicting various treatment processes, particularly the complex electrochemical processes involved in pollutant degradation. By simulating reaction pathways, electrode behaviour, and species transport using cutting-edge computational tools like COMSOL, KINETUS, and ANSYS, researchers were able to provide essential insights for improving EO systems. Furthermore, attaining high PFAS removal rates and guaranteeing the EO process's long-term scalability depends on efficient reactor engineering. Understanding the rate constants, reaction mechanisms, and the intermediates generated can help to improve our comprehension of the electrochemical degradation pathways. This information is crucial for optimising operational parameters to increase effectiveness and selectivity. Being a key aspect, anode materials significantly influence performance, cost, and durability. Selecting suitable anode materials is critical for achieving long-term stability, high current efficiency, and reduced electrode fouling. In conclusion, this study offers a holistic view of the multidimensional advancements in PFAS electrooxidation, emphasizing the integration of software modelling, reactor optimisation, and anode materials. These synergistic efforts are essential for developing sustainable and efficient PFAS remediation technologies with broad applications in wastewater treatment contexts.