Rational Design of High-Performance DeNOx Catalysts Based on MnxCo3–xO4 Nanocages Derived from Metal–Organic Frameworks

纳米笼 催化作用 尖晶石 化学工程 吸附 材料科学 多孔性 比表面积 氧化钴 无机化学 化学 纳米技术 物理化学 有机化学 冶金 复合材料 工程类
作者
Lei Zhang,Liyi Shi,Lei Huang,Jianping Zhang,Ruihua Gao,Dengsong Zhang
出处
期刊:ACS Catalysis [American Chemical Society]
卷期号:4 (6): 1753-1763 被引量:524
标识
DOI:10.1021/cs401185c
摘要

Herein, we have rationally designed and originally developed a high-performance deNOx catalyst based on hollow porous MnxCo3–xO4 nanocages with a spinel structure thermally derived from nanocube-like metal–organic frameworks (Mn3[Co(CN)6]2·nH2O), which are synthesized via a self-assemble method. The as-prepared catalysts have been characterized systematically to elucidate their morphological structure and surface properties. As compared with conventional MnxCo3–xO4 nanoparticles, MnxCo3–xO4 nanocages possess a much better catalytic activity at low-temperature regions, higher N2 selectivity, more extensive operating-temperature window, higher stability, and SO2 tolerance. The feature of hollow and porous structures provides a larger surface area and more active sites to adsorb and activate reaction gases, resulting in the high catalytic activity. Moreover, the uniform distribution and strong interaction of manganese and cobalt oxide species not only enhance the catalytic cycle but also inhibit the formation of manganese sulfate, resulting in high catalytic cycle stability and good SO2 tolerance. In light of the various characterization results, the excellent deNOx performance of MnxCo3–xO4 nanocages can be attributed to the hollow and porous structures, the uniform distribution of active sites, as well as the strong interaction of manganese and cobalt oxide species. The excellent catalytic performance suggests that MnxCo3–xO4 nanocages are promising candidates for low-temperature deNOx catalysts. More importantly, the present study indicates that the hollow porous architectures and well-dispersed active components can effectively enhance the performance of catalysts.
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
ccc发布了新的文献求助10
1秒前
1秒前
LANLAM发布了新的文献求助10
1秒前
orixero应助GGBoy采纳,获得10
1秒前
zhanggs完成签到,获得积分20
2秒前
Jabowoo发布了新的文献求助20
2秒前
Devil应助小龙采纳,获得10
3秒前
atun完成签到,获得积分10
3秒前
洪洪1发布了新的文献求助10
3秒前
张大大完成签到,获得积分10
3秒前
lin发布了新的文献求助10
3秒前
3秒前
愉快向彤完成签到 ,获得积分10
3秒前
3秒前
4秒前
上官若男应助麋鹿采纳,获得10
4秒前
刘雨佳发布了新的文献求助10
4秒前
朴素黑猫发布了新的文献求助10
4秒前
粘屁屁发布了新的文献求助30
4秒前
5秒前
搜集达人应助现代的雪糕采纳,获得10
5秒前
小张发布了新的文献求助10
5秒前
Lucas应助desperado采纳,获得10
6秒前
共享精神应助DuanJN采纳,获得10
6秒前
张大大发布了新的文献求助10
6秒前
李健应助沉静的怜蕾采纳,获得10
6秒前
李妍妍发布了新的文献求助10
6秒前
NexusExplorer应助小饼干二采纳,获得10
7秒前
7秒前
科研通AI6.3应助ppboyindream采纳,获得10
8秒前
莫寻雪发布了新的文献求助10
8秒前
8秒前
千空应助自由幻波采纳,获得10
9秒前
月见发布了新的文献求助10
9秒前
9秒前
9秒前
科研通AI2S应助朴素黑猫采纳,获得10
10秒前
ljy完成签到 ,获得积分10
10秒前
10秒前
11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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
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 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6017601
求助须知:如何正确求助?哪些是违规求助? 7603311
关于积分的说明 16156651
捐赠科研通 5165401
什么是DOI,文献DOI怎么找? 2764881
邀请新用户注册赠送积分活动 1746262
关于科研通互助平台的介绍 1635210