Differentiating Surface Ce Species among CeO2 Facets by Solid-State NMR for Catalytic Correlation

面(心理学) 催化作用 化学状态 吸附 材料科学 曲面(拓扑) 纳米技术 多相催化 化学物理 化学工程 化学 物理化学 X射线光电子能谱 有机化学 社会心理学 工程类 数学 心理学 人格 五大性格特征 几何学
作者
Zicong Tan,Guangchao Li,Hung‐Lung Chou,Yiyang Li,Xianfeng Yi,Abdul Hanif Mahadi,Anmin Zheng,Shik Chi Edman Tsang,Yung‐Kang Peng
出处
期刊:ACS Catalysis [American Chemical Society]
卷期号:10 (7): 4003-4011 被引量:94
标识
DOI:10.1021/acscatal.0c00014
摘要

Altering the exposed facet of CeO2 nanocrystallites and hence the control of surface chemistry on the nano level have been shown to significantly change their performances in various catalytic reactions. The chemical state of surface Ce, which is associated with Lewis acidity and hence the adsorption/activation energy of reactants on the surface, is expected to vary with their hosted facets. Unfortunately, traditional surface tools fail to differentiate/quantify them among hosted facets and thus have led to different interpretations among researchers in the past decades. Herein, probe-assisted nuclear magnetic resonance is employed for the surface investigation of different CeO2 facets. They not only allow differentiation of the surface Ce atoms between hosted facets at high resolution but can also provide their corresponding concentrations. The as-established facet fingerprint of CeO2 can thus report on the facet distribution/concentration of a given CeO2 sample. Dephosphorylation and H2O2 reduction were tested as probe reactions to demonstrate the importance of obtaining comprehensive surface Ce information for the active site identification and the rational design of CeO2-based catalysts. Around 1000 and 4500% increase in activity of those reactions can be easily achieved on pristine CeO2 without further surface engineering when its terminal facet is wisely chosen. Our results thus imply that the basic surface knowledge of even a simple catalyst can be more important than the continuous development of their fancy derivatives without clear guidance.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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。
建议保存本图,每天支付宝扫一扫(相册选取)领红包
实时播报
刚刚
鲤鱼安筠完成签到 ,获得积分10
1秒前
羊羊得意完成签到,获得积分10
2秒前
2秒前
2秒前
阔达黎云完成签到,获得积分10
3秒前
3秒前
NEKO33发布了新的文献求助10
4秒前
22发布了新的文献求助10
6秒前
Aloha发布了新的文献求助10
6秒前
浮游应助小劳采纳,获得10
6秒前
奋斗土豆完成签到 ,获得积分10
6秒前
8秒前
8秒前
8秒前
9秒前
阔达黎云发布了新的文献求助10
9秒前
隐形曼青应助昧冒冰采纳,获得10
10秒前
共享精神应助Arit采纳,获得10
11秒前
huang发布了新的文献求助10
12秒前
12秒前
937989656完成签到 ,获得积分10
15秒前
小蘑菇应助kkk采纳,获得10
15秒前
jcae123发布了新的文献求助10
15秒前
16秒前
浮游应助经锦程采纳,获得10
17秒前
17秒前
量子星尘发布了新的文献求助10
20秒前
G1发布了新的文献求助10
20秒前
jcae123完成签到,获得积分10
21秒前
hhy发布了新的文献求助10
21秒前
无花果应助洁净的闭月采纳,获得10
22秒前
22秒前
CodeCraft应助科研通管家采纳,获得10
23秒前
思源应助科研通管家采纳,获得10
23秒前
斯文败类应助科研通管家采纳,获得30
23秒前
科研通AI6应助科研通管家采纳,获得10
23秒前
英俊的铭应助科研通管家采纳,获得10
23秒前
英俊的铭应助科研通管家采纳,获得10
23秒前
雨姐科研应助科研通管家采纳,获得10
23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
Mentoring for Wellbeing in Schools 1200
List of 1,091 Public Pension Profiles by Region 1061
Binary Alloy Phase Diagrams, 2nd Edition 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
A Technologist’s Guide to Performing Sleep Studies 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5496564
求助须知:如何正确求助?哪些是违规求助? 4594203
关于积分的说明 14443917
捐赠科研通 4526792
什么是DOI,文献DOI怎么找? 2480424
邀请新用户注册赠送积分活动 1465002
关于科研通互助平台的介绍 1437730