Material‐Efficient Synthesis of Polymer Membrane‐Immobilized Metal Oxides for Advanced Oxidation Processes: Catalytic Mechanism, Stability and Performance
Year: 2025
Type: article
Abstract: A unique all‐in‐one synthesis is presented for membrane‐immobilized transition metal oxides, integrating into a single process: metallic nanoparticle synthesis within a polymer dope solution, porous support membrane formation via film casting and polymer precipitation, and aqueous room‐temperature oxidation using atmospheric oxygen. This approach achieves near‐perfect metal utilization and enables synthesis of different metal oxides under identical conditions. As‐prepared CrO2, MnO2, FeOOH, CoOOH, Ni(OH)2, CuO, and ZnO are benchmarked in advanced oxidation processes (AOPs) for water treatment at neutral pH and with NaCl and NaHCO3. Tetracycline, diclofenac, cefalexin, and p‐nitrophenol are tested as organic pollutants and persulfate (S2O82−), hydrogen peroxide (H2O2), and sulfite (SO32−) as oxidants. Key reactivity trends and performance indicators across diverse catalyst‐oxidant‐pollutant systems are identified. The role of catalyst‐oxidant affinities is elucidated, showing how Lewis acid–base interactions at the metal oxide surface impact metal cation leaching and resistance to interference from dissolved anions during oxidant activation. Furthermore, a novel theoretical framework is introduced that links the material properties of metal oxides to their catalytic oxidant activation mechanisms. Building on this framework, a mathematical model is established that predicts the catalytic activity of metal oxides in AOPs across various conditions, providing a new strategy for rational catalyst design.
Source: Small
Authors: S. Amir H. Hesaraki, Burcu Önal, Oleg Prymak, Zhijun Ren, Mathias Ulbricht, Lukas Fischer
Institutions: University of Duisburg-Essen, Hebei University of Technology
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $5,790
Funder: Deutsche Forschungsgemeinschaft
OpenAlex ID: W4413257399
