Advances in Sn-based oxide catalysts for the electroreduction of CO2 to formate

格式化 催化作用 氧化物 材料科学 可再生能源 化石燃料 温室气体 原材料 纳米技术 工艺工程 二氧化碳电化学还原 环境科学 化学工程 化学 有机化学 一氧化碳 冶金 生态学 工程类 电气工程 生物
作者
Xiaoyue Tu,Xiangjian Liu,Yu Zhang,Jiawei Zhu,Heqing Jiang
出处
期刊: [Elsevier BV]
卷期号:2 (2): 131-148 被引量:18
标识
DOI:10.1016/j.greenca.2024.03.006
摘要

The excessive consumption of fossil fuels increases CO2 emissions, and the consequent greenhouse effect resulting from higher levels of this gas in the atmosphere has a significant impact on the environment and climate. This has necessitated the development of environmentally friendly and efficient methods for CO2 conversion. The carbon dioxide electroreduction reaction (CO2RR), which is driven by electricity generated by renewable energy sources (e.g., wind and solar) to convert CO2 into value-added fuels or chemicals, is regarded as a promising prospective path toward carbon cycling. Among the various products, formate, with its relatively simple preparation process, has broad application prospects, and can be used as fuel, hydrogen storage material, and raw material for downstream chemicals. Sn-based oxide electrocatalysts have the advantages of being inexpensive and nontoxic. In addition, these catalysts offer high product selectivity and are regarded as promising catalysts for the electrochemical reduction of CO2 to formate. In this review, we first clarify the reaction mechanisms and factors that influence the reduction of CO2 to formate, and then provide some examples of technologies that could be used to study the evolution of catalysts during the reaction. In particular, we focus on traditional Sn-based oxides (SnO2) and novel Sn-based perovskite oxides that have been developed for use in the field of CO2RR in recent years by considering their synthesis, catalytic performance, optimization strategies, and intrinsic principles. Finally, the current challenges and opportunities for Sn-based oxide electrocatalysts are discussed. The perspectives and latest trends presented in this review are expected to inspire researchers to contribute more efforts toward comprehensively optimizing the performance of the CO2RR to produce formate.

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
1秒前
2秒前
2秒前
2秒前
2秒前
活吞鲨鱼完成签到,获得积分10
3秒前
Crazydan发布了新的文献求助10
3秒前
tuzhifengyin完成签到,获得积分10
3秒前
猩心完成签到 ,获得积分10
4秒前
奔跑应助哈哈哈哈1111采纳,获得10
5秒前
Throne发布了新的文献求助10
5秒前
6秒前
能干的鞅发布了新的文献求助10
6秒前
科研通AI6.2应助淏瀚采纳,获得30
6秒前
言禹完成签到 ,获得积分10
6秒前
活吞鲨鱼发布了新的文献求助10
7秒前
情怀应助长青采纳,获得10
7秒前
Crazydan完成签到,获得积分10
8秒前
上官若男应助大大双采纳,获得10
8秒前
凶狠的映易完成签到 ,获得积分10
9秒前
吐个泡泡发布了新的文献求助30
10秒前
铲铲完成签到,获得积分10
11秒前
11秒前
12秒前
abcd发布了新的文献求助10
14秒前
小猪乔治完成签到,获得积分10
15秒前
文静紫烟完成签到,获得积分10
17秒前
albertchan完成签到,获得积分0
18秒前
张子豪完成签到,获得积分10
18秒前
18秒前
kbkyvuy完成签到,获得积分10
19秒前
19秒前
神勇的砖头完成签到,获得积分10
21秒前
HansYoung完成签到 ,获得积分10
21秒前
百威sama发布了新的文献求助10
21秒前
Passer完成签到 ,获得积分10
22秒前
dde应助文静紫烟采纳,获得10
22秒前
lzy完成签到,获得积分10
22秒前
22秒前
23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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Les chinois de jakarta: temples et vie collective 500
The fast track to determining transfer functions of linear circuits: The student guide 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7629021
求助须知:如何正确求助?哪些是违规求助? 9203664
关于积分的说明 19735164
捐赠科研通 7198782
什么是DOI,文献DOI怎么找? 3274231
关于科研通互助平台的介绍 2436403
邀请新用户注册赠送积分活动 2270321