Effect of reduction pretreatment on the structure and catalytic performance of Ir-In2O3 catalysts for CO2 hydrogenation to methanol

催化作用 甲醇 解吸 吸附 X射线光电子能谱 化学 氧气 红外光谱学 产量(工程) 拉曼光谱 甲醛 无机化学 材料科学 化学工程 物理化学 有机化学 冶金 光学 工程类 物理
作者
Changyu Ding,Feifei Yang,Xue Ye,Chongya Yang,Xiaoyan Liu,Yuanlong Tan,Zheng Shen,Hongmin Duan,Xiong Su,Yanqiang Huang
出处
期刊:Journal of Environmental Sciences-china [Elsevier BV]
卷期号:140: 2-11 被引量:5
标识
DOI:10.1016/j.jes.2023.01.018
摘要

In2O3 has been found a promising application in CO2 hydrogenation to methanol, which is beneficial to the utilization of CO2. The oxygen vacancy (Ov) site is identified as the catalytic active center of this reaction. However, there remains a great challenge to understand the relations between the state of oxygen species in In2O3 and the catalytic performance for CO2 hydrogenation to methanol. In the present work, we compare the properties of multiple In2O3 and Ir-promoted In2O3 (Ir-In2O3) catalysts with different Ir loadings and after being pretreated under different reduction temperatures. The CO2 conversion rate of Ir-In2O3 is more promoted than that of pure In2O3. With only a small amount of Ir loading, the highly dispersed Ir species on In2O3 increase the concentration of Ov sites and enhance the activity. By finely tuning the catalyst structure, Ir-In2O3 with an Ir loading of 0.16 wt.% and pre-reduction treatment under 300°C exhibits the highest methanol yield of 146 mgCH3OH/(gcat·h). Characterizations of Raman, electron paramagnetic resonance, X-ray photoelectron spectroscopy, CO2-temperature programmed desorption and CO2-pulse adsorption for the catalysts confirm that more Ov sites can be generated under higher reduction temperature, which will induce a facile CO2 adsorption and desorption cycle. Higher performance for methanol production requires an adequate dynamic balance among the surface oxygen atoms and vacancies, which guides us to find more suitable conditions for catalyst pretreatment and reaction.
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
爱猫的纭完成签到,获得积分10
刚刚
刚刚
Chloe完成签到,获得积分10
刚刚
HUIHUIGUO完成签到,获得积分10
刚刚
跨材料完成签到,获得积分10
刚刚
科研通AI2S应助西瓜采纳,获得10
1秒前
HHHH完成签到,获得积分10
1秒前
情怀应助牛牛采纳,获得10
1秒前
彭于晏应助zzz采纳,获得10
1秒前
2秒前
李爱国应助淡定访枫采纳,获得10
2秒前
2秒前
2秒前
所所应助迎客天下采纳,获得10
2秒前
冷艳的璎完成签到,获得积分10
3秒前
蹇蹇完成签到 ,获得积分10
3秒前
ryl发布了新的文献求助10
3秒前
跨材料发布了新的文献求助10
3秒前
Akim应助ptcl采纳,获得10
3秒前
彭梁_come_on完成签到,获得积分10
3秒前
4秒前
852应助wangdafa采纳,获得10
4秒前
奔波霸完成签到 ,获得积分10
5秒前
6秒前
SKSK完成签到,获得积分10
6秒前
酷炫灵安完成签到,获得积分10
6秒前
曾经冰露完成签到,获得积分10
7秒前
gqq完成签到,获得积分10
7秒前
7秒前
星月夜完成签到,获得积分10
7秒前
7秒前
8秒前
ZMY应助和谐小霸王采纳,获得30
8秒前
11发布了新的文献求助10
8秒前
8秒前
内向书瑶完成签到,获得积分10
9秒前
lm发布了新的文献求助30
9秒前
9秒前
顾矜应助nut采纳,获得10
9秒前
1111发布了新的文献求助10
10秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 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 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 7558362
求助须知:如何正确求助?哪些是违规求助? 9140264
关于积分的说明 19537924
捐赠科研通 7147871
什么是DOI,文献DOI怎么找? 3261326
关于科研通互助平台的介绍 2427877
邀请新用户注册赠送积分活动 2250704