On the Correlation between Group III‐A Elements Doping and Structure Performance of Cu/ZnO/ZrO2 Catalysts System for CO2 Hydrogenation to Methanol

催化作用 化学吸附 物理吸附 吸附 甲醇 X射线光电子能谱 材料科学 无机化学 化学 化学工程 物理化学 有机化学 工程类
作者
Vivek Kumar Shrivastaw,Jyotishman Kaishyop,Tuhin Suvra Khan,Deepak Khurana,Gaje Singh,Subham Paul,Biswajit Chowdhury,Ankur Bordoloi
出处
期刊:Chemcatchem [Wiley]
卷期号:16 (20) 被引量:4
标识
DOI:10.1002/cctc.202400534
摘要

Abstract A set of Cu/ZnO/ZrO 2 catalysts doped with Group‐IIIA elements (M=B, Al, Ga & In) were synthesized via a facile single‐step evaporation‐induced self‐assembly (EISA) method to tune up the catalyst basicity and modulate the structure to improve the methanol yield in CO 2 hydrogenation reaction. To understand the catalyst‘s textural properties and catalytic activity, prepared catalysts were exposed to several in‐situ/ex‐situ characterization techniques like Physisorption & Chemisorption studies, XRD, XPS, TEM, and in‐situ DRIFT. The addition of group IIIA elements has a significant impact on the CO 2 conversion and Methanol selectivity via tailoring the important textural properties such as metallic surface area of Cu, reducibility of catalysts, particle size, controlled oxygen vacancy, and basicity of catalyst surface. CZZ doped with Al appeared to be the best catalyst, in this study. The modified Cu‐ZnO interface via density functional theory (DFT) calculations also indicated that the CO 2 adsorption energy is found to be highest for CZZAl, which is concomitant with CO 2 ‐TPD analysis results. The lowest to highest CO 2 adsorption energy order over the catalyst set follows CZZIn<CZZB<CZZGa<CZZO<CZZAl. Moreover, the surface model of Cu/ZnO after doping each element was also studied to elucidate the elemental promotional effect on CO 2 adsorption.
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
刚刚
刚刚
Yang_728发布了新的文献求助10
1秒前
Owen应助senli2018采纳,获得10
1秒前
shuo发布了新的文献求助10
2秒前
传奇3应助陌路采纳,获得10
2秒前
奕苼发布了新的文献求助10
3秒前
不知发布了新的文献求助10
3秒前
无限初丹完成签到,获得积分10
3秒前
林玖再发布了新的文献求助10
3秒前
Sarah完成签到,获得积分10
4秒前
4秒前
务实大雁完成签到,获得积分10
4秒前
JamesPei应助现代的手套采纳,获得10
4秒前
所所应助云舒采纳,获得10
5秒前
可靠诗筠发布了新的文献求助30
5秒前
唐唐应助别离辞采纳,获得10
6秒前
高兴天思发布了新的文献求助10
6秒前
6秒前
小炸发布了新的文献求助10
6秒前
ChenYX完成签到,获得积分10
7秒前
CodeCraft应助wuhao采纳,获得10
7秒前
在水一方应助海哥哥采纳,获得30
8秒前
可爱的函函应助ALAI采纳,获得10
9秒前
52251013106发布了新的文献求助10
9秒前
科目三应助zhangyixin采纳,获得10
9秒前
珑拚发布了新的文献求助10
9秒前
ikun666完成签到,获得积分10
9秒前
胖鲤鱼完成签到,获得积分10
9秒前
用户完成签到,获得积分10
10秒前
10秒前
10秒前
10秒前
11秒前
11秒前
11秒前
科研通AI6.4应助柳青采纳,获得10
11秒前
11秒前
12秒前
走走发布了新的文献求助10
12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
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 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 6370293
求助须知:如何正确求助?哪些是违规求助? 8184235
关于积分的说明 17266401
捐赠科研通 5424858
什么是DOI,文献DOI怎么找? 2870073
邀请新用户注册赠送积分活动 1847049
关于科研通互助平台的介绍 1693826