Dynamic oxygen vacancy engineering on CuO via refreshable catalytic surface for high-efficient water decontamination

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Authors: Xinyi Zhang, Liangjie Wang, Jian Wei, Zhuang Guo, Xinyao Liu, Lijie Duan, Huazhang Zhao, Yonghui Song
Cited by: 29
References: 61

Abstract

Oxygen vacancies (Ov) on metal oxide surfaces exhibit high catalytic activity for activating peroxymonosulfate (PMS) in wastewater decontamination, yet their in-situ regeneration remains a significant challenge. This study successfully achieves in-situ real-time regeneration of Ov on CuO surfaces through simple alkali etching without interrupting the contaminant removal process. The surface hydroxyl groups introduced by alkali treatment significantly reduce the formation energy of Ov on CuO surfaces from 1.60 eV to 0.38 eV. Both experimental results and density functional theory calculations reveal that the high activity of CuO relies on the synergy of surface hydroxyl groups and Ov. This synergy increases the antibonding states below the Fermi level and the electron spin density of Cu near Ov, thereby promoting electron transfer from CuO to PMS. As a result, by just adding an equimolar amount of alkali relative to PMS in CuO/PMS system, the degradation rate constant of sulfamethoxazole (SMX) greatly increases by 42 times. The primary reactive oxygen species in this system are sulfate radicals and hydroxyl radicals. Furthermore, OH-/CuO/PMS system exhibits a long-term stability (> 300 h) for SMX removal in a real water matrix. This work provides a highly executable method to in-situ real-time regenerate Ov on CuO surfaces, representing significant progress in the critical yet underappreciated field of catalyst regeneration. This study demonstrates that simple alkali etching enables in-situ regeneration of oxygen vacancies on CuO, enhancing peroxymonosulfate activation for efficient pollutant degradation with a 42-fold increase and long-term stability.

Fields of Study & Subjects

Advanced oxidation water treatment Copper-based nanomaterials and applications Water Quality Monitoring and Analysis

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Pages
1432–1432
Publication date
7 January 2026
Language
EN