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
科研通AI6.4应助听闻采纳,获得10
刚刚
1秒前
背后玉米发布了新的文献求助10
1秒前
ADDDGDD发布了新的文献求助10
2秒前
3秒前
ADDDGDD发布了新的文献求助10
3秒前
ADDDGDD发布了新的文献求助10
5秒前
5秒前
ongkianwhww完成签到,获得积分10
6秒前
Jocelin发布了新的文献求助10
6秒前
yyy发布了新的文献求助10
6秒前
7秒前
ADDDGDD发布了新的文献求助10
7秒前
英俊的铭应助太阳采纳,获得10
8秒前
ADDDGDD发布了新的文献求助10
9秒前
9秒前
Bright完成签到 ,获得积分10
9秒前
sanvva应助1733采纳,获得30
10秒前
10秒前
10秒前
youming发布了新的文献求助10
10秒前
小张完成签到,获得积分10
10秒前
ADDDGDD发布了新的文献求助10
11秒前
科研通AI6.1应助背后玉米采纳,获得10
12秒前
ADDDGDD发布了新的文献求助10
12秒前
13秒前
爆米花应助adeno采纳,获得10
14秒前
ADDDGDD发布了新的文献求助10
14秒前
ADDDGDD发布了新的文献求助10
16秒前
所所应助liugm采纳,获得10
17秒前
ADDDGDD发布了新的文献求助10
18秒前
18秒前
破伤风完成签到 ,获得积分10
18秒前
ADDDGDD发布了新的文献求助10
19秒前
背后玉米完成签到,获得积分10
20秒前
21秒前
ADDDGDD发布了新的文献求助10
21秒前
22秒前
22秒前
听闻发布了新的文献求助10
22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
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 6349520
求助须知:如何正确求助?哪些是违规求助? 8164410
关于积分的说明 17178531
捐赠科研通 5405789
什么是DOI,文献DOI怎么找? 2862313
邀请新用户注册赠送积分活动 1839967
关于科研通互助平台的介绍 1689142