Theoretical Study on the Electrocatalytic CO2 Reduction Mechanism of Single-Atom Co Complexed Carbon-Based (Co–Nχ@C) Catalysts Supported on Carbon Nanotubes

催化作用 碳纳米管 材料科学 石墨烯 电催化剂 碳纤维 氢 化学工程 纳米技术 电化学 无机化学 化学 物理化学 电极 有机化学 复合数 复合材料 工程类
作者
Qian-Hong Guo,Guilin Zhang,Yang Wu,Xiaoqin Liang,Laicai Li,Jiajia Yang
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:16 (35): 46270-46279 被引量:3
标识
DOI:10.1021/acsami.4c08246
摘要

Electrocatalytic CO2 reduction serves as an effective strategy to tackle energy crises and mitigate greenhouse gas effects. The development of efficient and cost-effective electrocatalysts has been a research hotspot in the field. In this study, we designed four Co-doped single-atom catalysts (Co–Nχ@C) using carbon nanotubes as carriers, these catalysts included tri- and dicoordinated N-doped carbon nanoribbons, as well as tri- and dicoordinated N-doped graphene, respectively denoted as H3(H2)-Co/CNT and 3(2)-Co/CNT. The stable configurations of these Co–Nχ@C catalysts were optimized using the PBE+D3 method. Additionally, we explored the reaction mechanisms of these catalysts for the electrocatalytic reduction of CO2 into four C1 products, including CO, HCOOH, CH3OH and CH4, in detail. Upon comparing the limiting potentials (UL) across the Co–Nχ@C catalysts, the activity sequence for the electrocatalytic reduction of CO2 was H2–Co/CNT > 3-Co/CNT > H3–Co/CNT > 2-Co/CNT. Meanwhile, our investigation of the hydrogen evolution reaction (HER) with four catalysts elucidated the influence of acidic conditions on the electrocatalytic CO2 reduction process. Specifically, controlling the acidity of the solution was crucial when using the H3–Co/CNT and H2–Co/CNT catalysts, while the 3-Co/CNT and 2-Co/CNT catalysts were almost unaffected by the solution's acidity. We hope that our research will provide a theoretical foundation for designing more effective CO2 reduction electrocatalysts.
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
LLL完成签到 ,获得积分10
2秒前
蓝天的应助被1223123采纳,获得10
3秒前
3秒前
小马甲的应助被强仔采纳,获得10
4秒前
gd发布了新的文献求助10
4秒前
4秒前
迷人渊思完成签到,获得积分10
5秒前
VVTTWW完成签到 ,获得积分10
6秒前
Criminology34的应助被nexus采纳,获得10
6秒前
wei_ahpu完成签到,获得积分10
7秒前
桐桐的应助被fenghua采纳,获得10
7秒前
8秒前
友好的问晴完成签到,获得积分20
9秒前
eyesight完成签到,获得积分10
10秒前
herojine完成签到,获得积分10
10秒前
10秒前
地动完成签到 ,获得积分10
11秒前
慕青的应助被蝈蝈采纳,获得10
12秒前
OG发布了新的文献求助10
13秒前
fuguier发布了新的文献求助10
15秒前
干净的沛蓝完成签到,获得积分10
16秒前
秋风的应助被南宫誉采纳,获得10
16秒前
小一完成签到,获得积分10
16秒前
棒槌完成签到,获得积分10
18秒前
dbyte完成签到,获得积分10
18秒前
善良梦竹完成签到 ,获得积分10
19秒前
李健的应助被6666hhhhhh采纳,获得10
20秒前
21秒前
22秒前
23秒前
23秒前
23秒前
24秒前
蝈蝈发布了新的文献求助10
25秒前
25秒前
26秒前
27秒前
机智小馒头完成签到 ,获得积分10
27秒前
鱿鱼起司发布了新的文献求助10
28秒前
鱿鱼起司发布了新的文献求助10
28秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
The Student's Guide to Social Neuroscience 800
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Production Logging: Theoretical and Interpretive Elements 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7813164
求助须知:如何正确求助?哪些是违规求助? 9343917
关于积分的说明 20520487
捐赠科研通 7406067
什么是DOI,文献DOI怎么找? 3330378
关于科研通互助平台的介绍 2477049
邀请新用户注册赠送积分活动 2349906