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Coupling NiFe alloy/LDH and Mo2CTX MXene for enhanced oxygen evolution

delete2025-06-01
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PRE
AI
H
Hongxiao Yang
W
Wenkang Xu
Z
Zhong, Pei-Wei
D
Dongliang Zhang
喻志阳 cover
喻志阳 (Zhiyang Yu)
B
Bei Li
H
Hongjuan Wang
C
Cao, Yonghai
W
Wang, Hao-Fan
于浩 cover
于浩 (Yu, Hao) *
DOI:10.1016/j.jechem.2025.01.048delete
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Abstract

Abstract

En 中文
The oxygen evolution reaction (OER) has received widespread attention as an anodic reaction in various key electrochemical processes such as water splitting, carbon dioxide electroreduction, and ammonia electrosynthesis. Therefore, there is an urgent need for efficient non-precious OER electrocatalysts to reduce the energy consumption and cost of these processes. NiFe layered double hydroxides (LDHs) with tunable electronic structure properties exhibit excellent OER intrinsic activity. However, their low electrical conductivity and tendency to agglomerate during electrocatalysis hinder their performance in OER. Herein, benefiting from the attraction of abundant negatively charged groups on the MXene surface towards Ni2+ and Fe3+ , a heterostructure of highly conductive Mo2CTX MXene and NiFe alloy/LDH composite was prepared using a simple in-situ growth strategy. Combining experimental results and theoretical calculations, it is revealed that Mo2CTX MXene, as a substrate, significantly improves the OER performance of the NiFe-based catalyst by enhancing the electrical conductivity, mitigating the agglomeration, accelerating the oxidation and tuning the electronic structure. Consequently, in 1 M KOH electrolyte, the overpotential required to reach an OER current density of 10 mA cm-2 is only 230 mV, and the catalyst maintains high stability even after 3000 cyclic voltammetry cycles. This work expands the application of Mo2CTX MXene in electrocatalysis, and provides useful experience for the regulation of LDH-based electrocatalysts. (c) 2025 Science Press and Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by Elsevier B.V. and Science Press. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Keywords:
Oxygen evolution reaction
NiFe-based catalyst
Mo 2 CT X MXene
Electronic structure

Journal

Journal of Energy Chemistry cover
Journal of Energy Chemistry
IF:
14.9
Papers:
6.0K
Citations:
4.5W

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