Gas diffusion enhanced electrode with ultrathin superhydrophobic macropore structure for acidic CO2 electroreduction

扩散 材料科学 热力学 物理
作者
Mingxu Sun,Jiamin Cheng,Miho Yamauchi
出处
期刊:Nature Communications [Nature Portfolio]
卷期号:15 (1) 被引量:88
标识
DOI:10.1038/s41467-024-44722-4
摘要

Abstract Carbon dioxide (CO 2 ) electroreduction reaction (CO 2 RR) offers a promising strategy for the conversion of CO 2 into valuable chemicals and fuels. CO 2 RR in acidic electrolytes would have various advantages due to the suppression of carbonate formation. However, its reaction rate is severely limited by the slow CO 2 diffusion due to the absence of hydroxide that facilitates the CO 2 diffusion in an acidic environment. Here, we design an optimal architecture of a gas diffusion electrode (GDE) employing a copper-based ultrathin superhydrophobic macroporous layer, in which the CO 2 diffusion is highly enhanced. This GDE retains its applicability even under mechanical deformation conditions. The CO 2 RR in acidic electrolytes exhibits a Faradaic efficiency of 87% with a partial current density $$( {j}_{{{{\rm{C}}}}_{2+}})$$ ( j C 2 + ) of −1.6 A cm −2 for multicarbon products (C 2+ ), and $$ {j}_{{{{{{\rm{C}}}}}}_{2+}}$$ j C 2 + of −0.34 A cm −2 when applying dilute 25% CO 2 . In a highly acidic environment, C 2+ formation occurs via a second order reaction which is controlled by both the catalyst and its hydroxide.
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
酷波er应助科研通管家采纳,获得10
刚刚
思源应助科研通管家采纳,获得10
刚刚
隐形曼青应助科研通管家采纳,获得10
刚刚
共享精神应助科研通管家采纳,获得10
刚刚
杨华启应助科研通管家采纳,获得20
刚刚
orixero应助科研通管家采纳,获得10
刚刚
思源应助科研通管家采纳,获得10
刚刚
lizishu应助科研通管家采纳,获得10
刚刚
lizishu应助科研通管家采纳,获得10
刚刚
yuyu应助科研通管家采纳,获得10
刚刚
星辰大海应助科研通管家采纳,获得10
刚刚
CodeCraft应助科研通管家采纳,获得10
刚刚
刚刚
汉堡包应助科研通管家采纳,获得10
刚刚
白兰猫应助科研通管家采纳,获得10
刚刚
lizishu应助科研通管家采纳,获得10
1秒前
1秒前
CQ完成签到,获得积分10
1秒前
无忧应助wy18567337203采纳,获得10
1秒前
1秒前
1秒前
白兰猫应助科研通管家采纳,获得10
1秒前
田様应助科研通管家采纳,获得30
1秒前
didiwang应助科研通管家采纳,获得30
1秒前
英俊的铭应助科研通管家采纳,获得10
1秒前
1秒前
大模型应助科研通管家采纳,获得30
1秒前
游标卡尺应助科研通管家采纳,获得10
1秒前
1秒前
Orange应助科研通管家采纳,获得10
1秒前
1秒前
香蕉觅云应助科研通管家采纳,获得10
1秒前
1秒前
小二郎应助科研通管家采纳,获得10
1秒前
2秒前
焓哒发布了新的文献求助10
2秒前
常sc发布了新的文献求助10
3秒前
aertom完成签到,获得积分0
3秒前
小汤圆发布了新的文献求助10
3秒前
啦啦啦发布了新的文献求助10
3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
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443241
求助须知:如何正确求助?哪些是违规求助? 8257113
关于积分的说明 17585207
捐赠科研通 5501710
什么是DOI,文献DOI怎么找? 2900830
邀请新用户注册赠送积分活动 1877821
关于科研通互助平台的介绍 1717487