Porous copper cluster-based MOF with strong cuprophilic interactions for highly selective electrocatalytic reduction of CO2 to CH4

电催化剂 催化作用 法拉第效率 可逆氢电极 星团(航天器) 多孔性 化学工程 材料科学 化学 电极 无机化学 纳米技术 电化学 物理化学 工作电极 计算机科学 有机化学 冶金 工程类 程序设计语言 复合材料
作者
Long−Zhang Dong,Yunfeng Lu,Rui Wang,Jie Zhou,Yu Zhang,Lei Zhang,Jiang Liu,Shun‐Li Li,Ya‐Qian Lan
出处
期刊:Nano Research [Springer Nature]
卷期号:15 (12): 10185-10193 被引量:34
标识
DOI:10.1007/s12274-022-4681-z
摘要

It is well known that the low-valent Cu species are important catalytically active centers in the reduction of CO2 to hydrocarbon products. However, the Cu(I)-based catalysts are easily reduced during the electroreduction of CO2, which causes phase transformation of catalysts and leads to a decrease of intrinsic catalytic activity. Therefore, it is of great significance to synthesize Cu(I)-based catalysts with specific interactions that can keep the catalytically active Cu sites stable in the electrocatalytic process. Based on the above considerations, a hexanuclear Cu cluster with strong cuprophilic interactions has been designed and utilized as a secondary building unit (SBU) to construct a stable metal-organic framework (MOF) electrocatalyst (NNU-50). As expected, the NNU-50 has served as an effective electrocatalyst for the CO2-to-CH4 conversion by exhibiting a high Faradaic efficiency for CH4 (\({\rm{F}}{{\rm{E}}_{{\rm{C}}{{\rm{H}}_{\rm{4}}}}}\)) of 66.40% and a large current density of ∼ 400 mA·cm−2 at −1.0 V vs. reversible hydrogen electrode (RHE), which is one of the best catalytic performances among the stable MOF electrocatalysts until now. This work contributes more ideas for the design of stable and efficient MOF-based electrocatalysts for CO2 reduction reaction.
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
ZZZpp完成签到,获得积分10
刚刚
大个应助756采纳,获得10
1秒前
2秒前
喵呜发布了新的文献求助10
2秒前
Ava应助k7采纳,获得10
2秒前
领导范儿应助cc采纳,获得10
2秒前
橘子发布了新的文献求助40
2秒前
2秒前
benben完成签到,获得积分10
3秒前
wjq完成签到,获得积分10
3秒前
3秒前
4秒前
亓亓完成签到 ,获得积分10
4秒前
4秒前
phz发布了新的文献求助10
5秒前
5秒前
Stephen完成签到,获得积分10
5秒前
shengChen完成签到,获得积分10
5秒前
5秒前
怎么睡不醒完成签到 ,获得积分10
5秒前
CipherSage应助沉静的迎荷采纳,获得10
6秒前
彩色铅笔完成签到,获得积分10
6秒前
6秒前
7秒前
7秒前
7秒前
淡定的思松应助通~采纳,获得10
7秒前
ycp完成签到,获得积分10
7秒前
wanci应助cc采纳,获得10
7秒前
泽烺木完成签到,获得积分10
7秒前
duizhang完成签到,获得积分10
7秒前
简单茗发布了新的文献求助10
8秒前
8秒前
DAYTOY应助LJL采纳,获得10
9秒前
qianf完成签到,获得积分10
9秒前
10秒前
10秒前
10秒前
Zn应助ZZZpp采纳,获得10
10秒前
脑洞疼应助喵呜采纳,获得10
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527849
求助须知:如何正确求助?哪些是违规求助? 3107938
关于积分的说明 9287239
捐赠科研通 2805706
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716893
科研通“疑难数据库(出版商)”最低求助积分说明 709794