The evolution of transition metal hydroxide electrocatalysts in alkaline media: A three-generation roadmap from 2D nanosheets to metal hydroxide organic frameworks (MHOFs)

作者
Marvel Guntur Wijanarko,Yusak Hartanto,María Yuliana,Jiuan Jing Chew,Han Bing Chua,Basil T. Wong,Suryadi Ismadji,Diah Agustina Puspitasari,Wei Zhou,Agus Saptoro,Jaka Sunarso
出处
期刊:Coordination Chemistry Reviews [Elsevier BV]
卷期号:563: 217974-217974 被引量:8
标识
DOI:10.1016/j.ccr.2026.217974
摘要

The transition from fossil-fuel-based energy systems to sustainable hydrogen production via alkaline water electrolysis remains constrained by the sluggish kinetics of the anodic oxygen evolution reaction (OER). To mitigate the high overpotentials inherent to this four-electron transfer process, the development of high-performance electrocatalysts remains essential. Transition metal hydroxides (TMHs) have recently emerged as a promising class of catalysts due to their electronic tunability and greater synthetic flexibility compared to traditional oxides. However, bulk TMHs have low conductivity and limited stability, hindering their practical application in alkaline water electrolysis. To overcome these problems, 2D LDHs, high-entropy materials and heterostructure are utilised to enhance the structural stability and maximise active sites. Furthermore, the development of metal hydroxide organic frameworks (MHOFs), a subset of metal organic frameworks (MOFs) that integrates high-porosity organic architectures with the intrinsic catalytic activity of metal hydroxide layers, demonstrates higher degree of flexibility in electrocatalyst design to further improve their anodic OER performance. This review categorises TMH research into three generations: the first generation (simple transition metal hydroxides), the second generation (LDHs, high entropy LDHs, heterostructures), and the third generation (MHOFs). This classification illustrates the clear structural progression of TMH-based materials and serves as a roadmap for the ongoing development of advanced OER electrocatalyst for TMHs. Finally, this review outlines recent advances within each generation of TMHs, providing a comprehensive discussion of the latest MHOF developments and their future outlooks.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ldyd完成签到,获得积分10
刚刚
123发布了新的文献求助10
1秒前
拯救小岛完成签到,获得积分10
1秒前
kiku发布了新的文献求助10
2秒前
struggle发布了新的文献求助10
2秒前
小铁的应助被能干的易形采纳,获得10
2秒前
ShenZF发布了新的文献求助10
3秒前
岩浆果冻完成签到,获得积分10
3秒前
默默的紫真的应助被152455采纳,获得10
4秒前
QIaoyiBOy发布了新的文献求助10
4秒前
lx完成签到,获得积分10
4秒前
4秒前
4秒前
5秒前
5秒前
6秒前
云鹤完成签到,获得积分10
7秒前
7秒前
jkjkjkjkhs完成签到,获得积分10
7秒前
如意白猫完成签到,获得积分10
9秒前
9秒前
xiaoju发布了新的文献求助10
9秒前
9秒前
斯文败类的应助被在北奥采纳,获得10
9秒前
yanlongshiyue发布了新的文献求助10
10秒前
Aurora完成签到 ,获得积分10
10秒前
lll发布了新的文献求助10
10秒前
无芒发布了新的文献求助10
11秒前
ST3PH发布了新的文献求助10
11秒前
Simple_foam完成签到 ,获得积分10
11秒前
piglet完成签到,获得积分10
11秒前
11秒前
Lily1983完成签到,获得积分10
12秒前
谢锦印发布了新的文献求助10
12秒前
Nature完成签到,获得积分10
12秒前
Amen发布了新的文献求助30
13秒前
萤火发布了新的文献求助10
14秒前
烟花的应助被tparhd采纳,获得10
14秒前
14秒前
Lizhe发布了新的文献求助10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Stochastic Models in Operations Research,Vol. 2 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
Stell & Maran's Head and Neck Surgery and Oncology 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8029422
求助须知:如何正确求助?哪些是违规求助? 9469399
关于积分的说明 21237102
捐赠科研通 7599606
什么是DOI,文献DOI怎么找? 3388333
关于科研通互助平台的介绍 2520667
邀请新用户注册赠送积分活动 2424919