The Conundrum of “Pair Sites” in Langmuir–Hinshelwood Reaction Kinetics in Heterogeneous Catalysis

催化作用 表面反应 动力学 化学 化学动力学 物理 有机化学 量子力学
作者
Daniyal Kiani,Israel E. Wachs
出处
期刊:ACS Catalysis [American Chemical Society]
卷期号:14 (13): 10260-10270 被引量:35
标识
DOI:10.1021/acscatal.4c02813
摘要

Understanding reaction kinetics is crucial for designing and applying heterogeneous catalytic processes in chemical and energy conversion. Here, we revisit the Langmuir–Hinshelwood (L-H) kinetic model for bimolecular surface reactions, originally formulated for metal catalysts, assuming immobile adsorbates on neighboring pair sites, with the rate varying linearly with the density of surface sites (sites per unit area); r ∝ [*]o1. Supported metal oxide catalysts, however, offer systematic control over [*]o through variation of the active two-dimensional metal oxide loading in the submonolayer region. Various reactions catalyzed by supported metal oxides are analyzed, such as supported VOx catalysts, including methanol oxidation, oxidative dehydrogenation of propane and ethane, SO2 oxidation to SO3, propene oxidation to acrolein, n-butane oxidation to maleic anhydride, and selective catalytic reduction of nitric oxide with ammonia. The analysis reveals diverse dependencies of reaction rate on [*]o for these surface reactions, with r ∝ [*]on, where n equals 1 for reactions with a unimolecular rate-determining step and 2 for those with a bimolecular rate-limiting step or exchange of more than 2 electrons. We propose refraining from a priori assumptions about the nature and density of surface sites or adsorbate behavior, advocating instead for data-driven elucidation of kinetics based on the density of surface sites, adsorbate coverage, etc. Additionally, recent studies on catalytic surface mechanisms have shed light on nonadjacent catalytic sites catalyzing surface reactions in contrast to the traditional requirement of adjacent/pair sites. These findings underscore the need for a more nuanced approach in modeling heterogeneous catalysis, especially supported metal oxide catalysts, encouraging reliance on experimental data over idealized assumptions that are often difficult to justify.
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
1秒前
研友_VZG7GZ应助xbs采纳,获得10
1秒前
冰淇淋007发布了新的文献求助10
1秒前
徐若楠发布了新的文献求助10
1秒前
完美世界应助mumumuzzz采纳,获得50
2秒前
lang完成签到,获得积分10
3秒前
王思睿发布了新的文献求助10
3秒前
稳重的哑铃完成签到 ,获得积分10
4秒前
王思睿发布了新的文献求助10
4秒前
王思睿发布了新的文献求助10
4秒前
王思睿发布了新的文献求助10
4秒前
潇潇完成签到 ,获得积分10
5秒前
5秒前
健壮代柔完成签到,获得积分10
5秒前
思源应助阔达八宝粥采纳,获得10
6秒前
田様应助阔达八宝粥采纳,获得10
6秒前
wang完成签到,获得积分10
6秒前
6秒前
7秒前
7秒前
英俊的铭应助陶1122采纳,获得10
7秒前
感动清炎完成签到,获得积分10
7秒前
7秒前
皇太极完成签到,获得积分20
8秒前
oo完成签到,获得积分10
8秒前
9秒前
9秒前
徐若楠完成签到,获得积分10
9秒前
怕黑剑身完成签到,获得积分10
10秒前
10秒前
大模型应助Cannonball采纳,获得10
10秒前
sjy发布了新的文献求助10
11秒前
吱吱发布了新的文献求助10
12秒前
12秒前
上官若男应助辣椒油采纳,获得10
12秒前
tangyihang发布了新的文献求助10
12秒前
Ava应助kehan采纳,获得10
12秒前
1111发布了新的文献求助30
13秒前
myq完成签到,获得积分10
13秒前
阳光的百合完成签到,获得积分10
15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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
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 7622311
求助须知:如何正确求助?哪些是违规求助? 9197594
关于积分的说明 19715536
捐赠科研通 7193815
什么是DOI,文献DOI怎么找? 3272961
关于科研通互助平台的介绍 2435355
邀请新用户注册赠送积分活动 2268354