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
打打应助张大猛采纳,获得10
刚刚
1秒前
zys完成签到,获得积分10
1秒前
1秒前
义气芷荷发布了新的文献求助10
1秒前
AQI完成签到,获得积分10
2秒前
2秒前
stuhwt发布了新的文献求助10
2秒前
白tt发布了新的文献求助10
3秒前
3秒前
3秒前
分化完成签到 ,获得积分10
3秒前
3秒前
4秒前
PAIDAXXXX完成签到,获得积分10
5秒前
洁净小笼包完成签到,获得积分10
6秒前
6秒前
辛辛酱发布了新的文献求助10
7秒前
zyj发布了新的文献求助10
7秒前
无花果应助白tt采纳,获得10
7秒前
7秒前
o30发布了新的文献求助10
8秒前
LXN发布了新的文献求助10
8秒前
8秒前
瑞小幸发布了新的文献求助10
8秒前
旺仔完成签到,获得积分10
8秒前
受伤的凡发布了新的文献求助10
9秒前
kingwill举报怀念逸求助涉嫌违规
10秒前
轻松的天真完成签到,获得积分10
10秒前
10秒前
10秒前
机灵柚子应助迟迟采纳,获得20
11秒前
11秒前
wyf完成签到,获得积分10
11秒前
Afterglow发布了新的文献求助10
11秒前
FashionBoy应助syyy采纳,获得10
11秒前
受伤尔曼完成签到,获得积分10
12秒前
13秒前
乱世才子发布了新的文献求助10
13秒前
14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
Metallurgy at high pressures and high temperatures 2000
Tier 1 Checklists for Seismic Evaluation and Retrofit of Existing Buildings 1000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 1000
The Organic Chemistry of Biological Pathways Second Edition 1000
Free parameter models in liquid scintillation counting 1000
Signals, Systems, and Signal Processing 610
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 6331071
求助须知:如何正确求助?哪些是违规求助? 8147554
关于积分的说明 17096738
捐赠科研通 5386717
什么是DOI,文献DOI怎么找? 2855965
邀请新用户注册赠送积分活动 1833364
关于科研通互助平台的介绍 1684755