Modulating active sites: A-site doped ACu-CeO2 catalyst for efficient CO-SCR of NO

催化作用 选择性催化还原 氮氧化物 材料科学 X射线光电子能谱 选择性 无机化学 吸附 化学工程 活动站点 化学 燃烧 有机化学 工程类
作者
Jun Li,Yajun He,Ying Wang,Yuqiong Zhao,Guoqiang Li,Guojie Zhang
出处
期刊:Fuel [Elsevier BV]
卷期号:361: 130729-130729 被引量:1
标识
DOI:10.1016/j.fuel.2023.130729
摘要

Transition metal-based nanomaterials have gained significant attention as highly active and cost-effective catalysts for the selective catalytic reduction (SCR) of NO with CO. Using a simple wet impregnation method, the catalyst composition and active sites can be modulated. In this paper, we present a novel cerium-based co-solvent catalyst, A-site doped ACu-CeO2 (A = Co, Fe, Mn), for CO-SCR of NO. The doping of A-site elements induces structural changes and enhances catalytic performance. Among the doped catalysts, CoCu-CeO2 exhibits a wide temperature window for operation and high selectivity towards nitrogen, achieving 100% NO conversion at 200 °C. Furthermore, A-site modulation not only promotes electron/ion transfer within the catalyst but also enables uniform and dispersed distribution of the active metal species, particularly copper, in the CoCu-CeO2 catalyst. This provides reaction centers for the selective reduction of NO by CO and enhances the adsorption capacity of the catalyst for NO. The ACu-CeO2 catalyst demonstrates excellent CO-SCR catalytic performance and resistance to vapor. Characterization techniques such as XPS, Raman spectroscopy, and in situ DRIFTS elucidate the reaction mechanism of the ACu-CeO2 cerium-based co-solvate in the CO-SCR reaction. This study furthers our understanding and improvement of catalyst design, while also providing an efficient and straightforward denitrification catalyst for controlling air pollutants.
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
企鹅乌云完成签到,获得积分20
1秒前
善学以致用应助欣欣然采纳,获得10
1秒前
1秒前
2秒前
李健应助缥缈的松鼠采纳,获得10
2秒前
双楠发布了新的文献求助10
3秒前
3秒前
guozizi发布了新的文献求助100
3秒前
愉快新筠发布了新的文献求助10
4秒前
CipherSage应助罗先斗采纳,获得30
4秒前
aaaaaab完成签到,获得积分10
4秒前
4秒前
6秒前
6秒前
6秒前
6秒前
mmmm发布了新的文献求助10
6秒前
6秒前
6秒前
CodeCraft应助乐乐乐乐采纳,获得10
7秒前
丘比特应助可爱非笑采纳,获得10
7秒前
7秒前
8秒前
8秒前
瘦瘦滢发布了新的文献求助10
9秒前
标致的寒梦完成签到,获得积分10
9秒前
jieyi发布了新的文献求助10
10秒前
Xxxxyg发布了新的文献求助10
10秒前
xy发布了新的文献求助10
10秒前
11秒前
jianfu2000发布了新的文献求助10
11秒前
冯文梅发布了新的文献求助10
11秒前
香蕉觅云应助zwzh采纳,获得10
11秒前
春田完成签到,获得积分10
12秒前
CodeCraft应助zhao采纳,获得10
12秒前
应俊发布了新的文献求助20
12秒前
情怀应助海拾月采纳,获得30
13秒前
kkkkkoi发布了新的文献求助10
13秒前
13秒前
明亮若枫发布了新的文献求助20
13秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
New digital musical instruments : control and interaction beyond the keyboard 200
English language teaching materials : theory and practice 200
Parallel Optimization 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3835562
求助须知:如何正确求助?哪些是违规求助? 3377932
关于积分的说明 10501197
捐赠科研通 3097494
什么是DOI,文献DOI怎么找? 1705854
邀请新用户注册赠送积分活动 820756
科研通“疑难数据库(出版商)”最低求助积分说明 772221