Solar-driven photocatalytic removal of cefuroxime from water: process optimization <i>via</i> machine learning and nature-inspired algorithms
Sara Zeghbib, Noureddine Nasrallah, Haroun Hafsa, Mohammed Kebir, Hichem Tahraoui, Sabrina Lekmine, Walid Zeghbib, Abdeltif Amrane, Fekri Abdulraqeb Ahmed Ali, Farid Fadhillah, Aymen Amine Assadi
Abstract
, 180 min reaction time). The integration of machine learning-based modeling and nature-inspired optimization highlights an effective approach for enhancing photocatalytic processes. The results provide a robust framework for optimizing semiconductor-based water treatment technologies, contributing to sustainable environmental remediation strategies.
Topics & Concepts
PhotodegradationPhotocatalysisMaterials scienceDegradation (telecommunications)CatalysisNanoparticlePhotochemistryRadicalOxideVisible spectrumChemical engineeringCefuroximeComputer scienceDopingAlgorithmMachine learningScavengerLeaching (pedology)KineticsNanotechnologyProcess optimizationAbsorption (acoustics)Nuclear chemistryPartial least squares regressionAdvanced Photocatalysis TechniquesTiO2 Photocatalysis and Solar CellsSolar-Powered Water Purification Methods