Programmable Pulsed Acidic Water Oxidation for Enhanced H 2 O 2 Production
At a Glance
Section titled âAt a Glanceâ| Metadata | Details |
|---|---|
| Publication Date | 2025-10-30 |
| Journal | Angewandte Chemie International Edition |
| Authors | Yexing Tian, Huixin Xiang, Kong Meng, Yong Yan, Ge Chen |
| Institutions | Fujian Normal University, Beijing University of Technology |
Abstract
Section titled âAbstractâAbstract Hydrogen peroxide (H 2 O 2 ) is a highâvalue, ecoâfriendly chemical with significant medical and industrial applications. H 2 O 2 electrosynthesis via water oxidation reaction (WOR) in acidic environments is crucial yet challenging. In this study, we introduce a novel approach by employing programmable pulse potential electrolysis (PPE) with machine learning (ML) optimization to synthesize H 2 O 2 in acidic conditions using a Boronâdoped diamond (BDD) catalyst. This approach achieved a high Faradaic efficiency (FE) of up to 64.16% and a H 2 O 2 production rate of 25.62 Âľmol cm â2 min â1 , which represents a 28.9âfold increase in FE and a 51.8âfold boost in H 2 O 2 yields in comparison to constant potential electrolysis (CPE). Furthermore, it was revealed that H 2 O 2 generation influenced by the nonFaradaic current stage at the anode. Meanwhile, hydrogenation processes at the cathode increase the abundance of CâH functional groups on the surface of BDD catalyst, which in turn enhances the production of H 2 O 2 . The findings also confirm that H 2 O 2 is produced through a step involving â˘OH radical formation, as supported by both experimental observations and DFT simulations. This study not only demonstrates the significant potential of PPE in WOR but also underscores the powerful role of ML in optimizing complex multiâparameter experimental conditions.