电化学（中英文）2025，Vol.31Issue(8)：44-56,13.DOI:10.61558/2993-074X.3550
富氧空位的超亲水多孔CoOOH纳米结构用于大电流密度尿素电氧化
Superhydrophilic Porous CoOOH Nano-Architecture with Abundant Oxygen Vacancies for Enhanced Urea Electrooxidation at Ampere-Level Current Densities
摘要
Abstract
The conversion of urea-containing wastewater into clean hydrogen energy has gained increasing attention.However,challenges remain,particularly with sluggish catalytic kinetics and limited long-term stability of urea oxidation reaction(UOR).Herein,we report the loosely porous CoOOH nano-architecture(CoOOH LPNAs)with hydrophilic surface and abundant oxygen vacancies(Ov)on carbon fiber paper(CFP)by electrochemical reconstruction of the CoP nanoneedles precursor.The resulting three-dimensional electrode exhibited an impressively low potential of 1.38 V at 1000 mA·cm-2 and excellent durability for UOR.Furthermore,when tested in an anion exchange membrane(AEM)electrolyzer,it required only 1.53 V at 1000 mA·cm-2 for industrial urea-assisted water splitting and operated stably for 100 h without degrada-tion.Experimental and theoretical investigations revealed that rich oxygen vacancies effectively modulate the electronic structure of the CoOOH while creating unique Co3-triangle sites with Co atoms close together.As a result,the adsorption and desorption processes of reactants and intermediates in UOR could be finely tuned,thereby significantly reducing ther-modynamic barriers.Additionally,the superhydrophilic self-supported nanoarray structure facilitated rapid gas bubble release,improving the overall efficiency of the reaction and preventing potential catalyst detachment caused by bubble accumulation,thereby improving both catalytic activity and stability at high current densities.关键词
CoOOH/电化学重构/氧空位/超亲水表面/尿素电氧化Key words
CoOOH/Electrochemical reconstruction/Oxygen vacancy/Superhydrophilic surface/Urea electrooxidation引用本文复制引用
吕文静,唐小鳗,王雪彤,刘文才,朱鉴文,王国静,朱远蹠..富氧空位的超亲水多孔CoOOH纳米结构用于大电流密度尿素电氧化[J].电化学（中英文）,2025,31(8):44-56,13.基金项目
This work was supported by the Applied Basic Re-search Program of Yunnan Province(202101BE070001-032),Yunnan Major Scientific and Technological Proj-ects(No.202202AG050001),Analysis and Testing Foundation of Kunming University of Science and Technology. （202101BE070001-032）
