Interface engineering of a GaN/In2O3 heterostructure for highly efficient electrocatalytic CO2 reduction to formate

材料科学 格式化 化学工程 催化作用 煅烧 异质结 选择性 无机化学 纳米技术 化学 光电子学 有机化学 工程类
作者
Xuan Li,Xingxing Jiang,Yan Kong,Jianju Sun,Qi Hu,Xiaoyan Chai,Hengpan Yang,Chuanxin He
出处
期刊:Chinese Journal of Catalysis [Elsevier BV]
卷期号:50: 314-323 被引量:3
标识
DOI:10.1016/s1872-2067(23)64455-9
摘要

Electrocatalytic CO2 reduction reaction (eCO2RR) to obtain formate is a promising method to consume CO2 and alleviate the energy crisis. Indium-based electrocatalysts have demonstrated considerable potential to produce formate. However, their unsatisfactory long-term stability and selectivity restrict their widespread application. In this study, a heterostructure of GaN- and In2O3-encapsulated porous carbon nanofibers was constructed via electrospinning and the phase transition of eutectic gallium-indium during calcination. The GaN and In2O3 nanoparticle-encapsulated porous carbon nanofibers, when used as electrocatalysts for eCO2RR, displayed high formate selectivity with a faradaic efficiency of 87% and maximum partial current density of 29.7 mA cm−2 in a 0.5 mol L−1 KHCO3 aqueous solution. The existence of the interface can cause a positive shift in the In 3d binding energy, leading to electronic redistribution. Moreover, the GaN component induced a higher proportion of O-vacancy sites in the In2O3 phase, resulting in improved selectivity for CO2-to-formate. In-situ Raman experiments and density functional theory calculations revealed that the interface between GaN and In2O3 could lower the adsorption energy of the key intermediates for formate production, thus providing superior eCO2RR performance. In addition, the framework of the porous carbon nanofibers exhibited a large electrochemically active surface area, which enabled the full exposure of the active sites. This study highlights the cooperation between GaN and In2O3 components and provides new insights into the rational design of catalysts with high CO2-to-formate conversion efficiencies.

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
molihuakai应助Pzuzu采纳,获得10
1秒前
Y不吃香菜完成签到 ,获得积分10
1秒前
1秒前
1秒前
打打应助鑫鑫采纳,获得10
1秒前
蒙蒙雨歌发布了新的文献求助10
1秒前
一枪入魂发布了新的文献求助10
2秒前
C胖胖完成签到,获得积分10
3秒前
3秒前
4秒前
完美世界应助科研通管家采纳,获得10
4秒前
4秒前
Akim应助科研通管家采纳,获得10
4秒前
香蕉觅云应助科研通管家采纳,获得10
5秒前
5秒前
烟花应助科研通管家采纳,获得10
5秒前
5秒前
所所应助科研通管家采纳,获得10
5秒前
平平静静给平平静静的求助进行了留言
5秒前
思源应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
5秒前
英姑应助科研通管家采纳,获得10
5秒前
5秒前
李爱国应助科研通管家采纳,获得10
6秒前
研友_VZG7GZ应助科研通管家采纳,获得10
6秒前
青青发布了新的文献求助50
6秒前
烟花应助科研通管家采纳,获得10
6秒前
6秒前
风清扬发布了新的文献求助20
7秒前
脑洞疼应助潇洒念波采纳,获得10
7秒前
科研通AI6.4应助贪玩若烟采纳,获得20
7秒前
7秒前
11发布了新的文献求助10
7秒前
传奇3应助0Miles采纳,获得10
8秒前
欢喜的丹寒完成签到,获得积分10
8秒前
Akim应助qtzkk采纳,获得10
9秒前
9秒前
10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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 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 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 6364796
求助须知:如何正确求助?哪些是违规求助? 8178835
关于积分的说明 17239140
捐赠科研通 5419882
什么是DOI,文献DOI怎么找? 2867816
邀请新用户注册赠送积分活动 1844885
关于科研通互助平台的介绍 1692342