Macropore-Size Engineering toward Enhancing the Catalytic Performance of CO Oxidation over Three-Way Catalyst Particles

大孔隙 催化作用 材料科学 传质 化学工程 扩散 一氧化碳 催化效率 过程(计算) 工艺工程 纳米技术 计算机科学 色谱法 介孔材料 化学 有机化学 工程类 物理 操作系统 热力学
作者
Phong Hoai Le,Yasuhiko Kitamoto,Shunki Yamashita,Kiet Le Anh Cao,Tomoyuki Hirano,Tareq W.M. Amen,Nao Tsunoji,Takashi Ogi
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:15 (46): 54073-54084 被引量:17
标识
DOI:10.1021/acsami.3c11489
摘要

In recent years, transportation-related air pollution has escalated into a global concern, necessitating the development of a three-way catalyst (TWC) technology to address harmful emissions. However, the efficiency of TWC's performance in mitigating these emissions has been hindered because of limited mass transfer efficiency within their structures. Thus, this study attempted to overcome the existing issue by synthesizing a series of macroporous TWC particles exhibiting various macropore sizes via a template-assisted spray process, aiming to achieve optimal mass transfer efficiency and catalytic performance. The synthesis incorporated various template particles (size of 67-381 nm) to obtain various macroporous structures. Thereafter, these macroporous particles were assessed for their carbon monoxide (CO) oxidation performance, revealing a substantial influence of the macropore size on the catalytic performance of TWC structures. Interestingly, among the investigated samples, those containing the smallest and largest macropores demonstrated the highest CO oxidation performances. Based on these results, a plausible reactant diffusion mechanism was proposed to explain the effect of the macropore size on the diffusion efficiency within the macroporous structures. This work may have significant implications in optimizing the macroporous structure to enhance catalytic performance in the gas purification process.

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
linuo完成签到,获得积分10
1秒前
无极微光应助xxxka采纳,获得20
1秒前
邓彩姚发布了新的文献求助10
1秒前
tianzizi发布了新的文献求助10
2秒前
南风发布了新的文献求助10
2秒前
2秒前
3秒前
皮皮发布了新的文献求助60
3秒前
挖掘机完成签到,获得积分10
4秒前
爆米花应助keysn采纳,获得30
4秒前
阳光芷巧发布了新的文献求助10
4秒前
ali完成签到,获得积分10
6秒前
万能图书馆应助陌影采纳,获得10
6秒前
111发布了新的文献求助10
8秒前
8秒前
8秒前
8秒前
沙场秋点兵完成签到,获得积分10
8秒前
8秒前
科目三应助科研通管家采纳,获得10
8秒前
Akim应助科研通管家采纳,获得10
8秒前
爆米花应助科研通管家采纳,获得10
8秒前
斯文败类应助林非鹿采纳,获得10
9秒前
脑洞疼应助科研通管家采纳,获得10
9秒前
小蘑菇应助科研通管家采纳,获得10
9秒前
桐桐应助科研通管家采纳,获得10
9秒前
田様应助科研通管家采纳,获得10
9秒前
9秒前
完美世界应助科研通管家采纳,获得10
9秒前
牧万万应助科研通管家采纳,获得10
9秒前
Hello应助科研通管家采纳,获得10
9秒前
huihui发布了新的文献求助10
10秒前
11秒前
LDX完成签到,获得积分10
11秒前
科研通AI6.3应助oil采纳,获得10
11秒前
仔仔完成签到 ,获得积分10
11秒前
13秒前
追寻傲云发布了新的文献求助10
13秒前
勤恳的灵雁完成签到,获得积分10
15秒前
大瓜发布了新的文献求助10
16秒前
高分求助中
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6494156
求助须知:如何正确求助?哪些是违规求助? 8291371
关于积分的说明 17693143
捐赠科研通 5586880
什么是DOI,文献DOI怎么找? 2916043
邀请新用户注册赠送积分活动 1893050
关于科研通互助平台的介绍 1751696