Mesoporous Manganese Oxides with High-Valent Mn Species and Disordered Local Structures for Efficient Oxygen Electrocatalysis

电催化剂 氧化锰 介孔材料 析氧 材料科学 催化作用 无机化学 氧气 化学工程 纳米技术 化学 电极 电化学 物理化学 冶金 工程类 有机化学
作者
Young Jin,Sohee Kim,Yesol Lee,Ji Man Kim,Sang Hoon Joo
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:15 (26): 31393-31402 被引量:35
标识
DOI:10.1021/acsami.3c03358
摘要

Active and nonprecious-metal bifunctional electrocatalysts for the oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) are vital components of clean energy conversion devices such as regenerative fuel cells and rechargeable metal–air batteries. Porous manganese oxides (MnOx) are promising electrocatalyst candidates because of their high surface area and the abundance of Mn. MnOx catalysts exhibit various oxidation states and crystal structures, which critically affect their electrocatalytic activity. These effects remain elusive mainly because the synthesis of oxidation-state-controlled porous MnOx with similar structural properties is challenging. In this work, four different mesoporous manganese oxides (m-MnOx) were synthesized and used as model catalysts to investigate the effects of local structures and Mn valence states on the activity toward oxygen electrocatalysis. The following activity trends were observed: m-Mn2O3 > m-MnO2 > m-MnO > m-Mn3O4 for the ORR and m-MnO2 > m-Mn2O3 > m-MnO ≈ m-Mn3O4 for the OER. These activity trends suggest that high-valent Mn species (Mn(III) and Mn(IV)) with disordered atomic arrangements induced by nanostructuring significantly influence electrocatalysis. In situ X-ray absorption spectroscopy was used to analyze the changes in the oxidation states under the ORR and OER conditions, which showed the surface phase transformation and generation of active species during electrocatalysis.
最长约 10秒,即可获得该文献文件

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
张开心应助翕然采纳,获得10
刚刚
无23223发布了新的文献求助10
1秒前
cocodu应助眯眯眼的清炎采纳,获得100
1秒前
1秒前
2秒前
Wslby发布了新的文献求助10
4秒前
科研通AI6.2应助贾大大采纳,获得10
7秒前
Orange应助贾大大采纳,获得10
7秒前
7秒前
111发布了新的文献求助10
8秒前
好好学习完成签到,获得积分0
9秒前
不嘻嘻完成签到,获得积分10
9秒前
洁净的冬日完成签到,获得积分10
11秒前
11秒前
自觉的K发布了新的文献求助10
12秒前
12秒前
12秒前
ASH应助邢夏之采纳,获得10
12秒前
zzf完成签到,获得积分20
14秒前
14秒前
桐桐应助凡迪亚比采纳,获得10
15秒前
liuyc完成签到,获得积分10
16秒前
Ava应助三无采纳,获得10
16秒前
lx发布了新的文献求助10
17秒前
17秒前
dangdang完成签到,获得积分10
17秒前
Verne完成签到,获得积分10
18秒前
糟糕的含之完成签到,获得积分10
18秒前
19秒前
19秒前
Baylin发布了新的文献求助10
21秒前
默默的发布了新的文献求助10
22秒前
我是小吕先生完成签到 ,获得积分10
23秒前
24秒前
ksr8888完成签到,获得积分10
24秒前
翩翩发布了新的文献求助10
24秒前
超级丝发布了新的文献求助10
24秒前
25秒前
三无完成签到,获得积分20
26秒前
英俊的铭应助bao采纳,获得10
27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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7635976
求助须知:如何正确求助?哪些是违规求助? 9209919
关于积分的说明 19753945
捐赠科研通 7203733
什么是DOI,文献DOI怎么找? 3275343
关于科研通互助平台的介绍 2437151
邀请新用户注册赠送积分活动 2272446