An In Situ Surface-Enhanced Infrared Absorption Spectroscopy Study of Electrochemical CO2 Reduction: Selectivity Dependence on Surface C-Bound and O-Bound Reaction Intermediates

化学 密度泛函理论 催化作用 选择性 红外光谱学 金属 X射线光电子能谱 碳氢化合物 吸收光谱法 反应中间体 吸收(声学) 光化学 电化学 光谱学 物理化学 计算化学 有机化学 材料科学 化学工程 电极 复合材料 工程类 物理 量子力学
作者
Yu Katayama,Francesco Nattino,Livia Giordano,Jonathan Hwang,Reshma R. Rao,Oliviero Andreussi,Nicola Marzari,Yang Shao‐Horn
出处
期刊:Journal of Physical Chemistry C [American Chemical Society]
卷期号:123 (10): 5951-5963 被引量:315
标识
DOI:10.1021/acs.jpcc.8b09598
摘要

The CO 2 electroreduction reaction (CO2RR) is a promising avenue to convert greenhouse gases into high-value fuels and chemicals, in addition to being an attractive method for storing intermittent renewable energy. Although polycrystalline Cu surfaces have long been known to be unique in their capabilities of catalyzing the conversion of CO 2 to higher-order C1 and C2 fuels, such as hydrocarbons (CH 4, C 2 H 4, etc.) and alcohols (CH 3 OH, C 2 H 5 OH), product selectivity remains a challenge. Rational design of more selective catalysts would greatly benefit from a mechanistic understanding of the complex, multiproton, and multielectron conversion of CO 2 . In this study, we select three metal catalysts (Pt, Au, Cu) and apply in situ surface enhanced infrared absorption spectroscopy (SEIRAS) and ambient-pressure X-ray photoelectron spectroscopy (APXPS), coupled to density-functional theory (DFT) calculations, to get insight into the reaction pathway for the CO2RR. We present a comprehensive reaction mechanism for the CO2RR and show that the preferential reaction pathway can be rationalized in terms of metal–carbon (M–C) and metal–oxygen (M–O) affinity. We show that the final products are determined by the configuration of the initial intermediates, C-bound and O-bound, which can be obtained from CO 2 and (H)CO 3, respectively. C1 hydrocarbons are produced via OCH 3,ad intermediates obtained from O-bound CO 3,ad and require a catalyst with relatively high affinity for O-bound intermediates. Additionally, C2 hydrocarbon formation is suggested to result from the C–C coupling between C-bound CO ad and (H)CO ad, which requires an optimal affinity for the C-bound species, so that (H)CO ad can be further reduced without poisoning the catalyst surface. It is suggested that the formation of C1 alcohols (CH 3 OH) is the most challenging process to optimize, as stabilization of the O-bound species would both accelerate the formation of key intermediates (OCH 3,ad ) but also simultaneously inhibit their desorption from the catalyst surface. Our findings pave the way toward a design strategy for CO2RR catalysts with improved selectivity, based on the experimental/theoretical reaction mechanisms that have been identified. These results also suggest that designing the electronic structure of the catalyst is not the sole determining factor to achieve highly selective CO2RR catalysis; rather, tuning additional experimental reaction conditions such as electrolyte–intermediate interactions also become critical.
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
刚刚
柒夏完成签到,获得积分10
1秒前
1秒前
万能图书馆应助S1mple采纳,获得10
3秒前
Congying完成签到,获得积分10
3秒前
Nunu完成签到,获得积分10
3秒前
十药九茯苓完成签到,获得积分10
3秒前
3秒前
闪闪的灵竹完成签到,获得积分10
4秒前
5秒前
吴阳完成签到,获得积分10
5秒前
6秒前
失眠的香菇完成签到 ,获得积分10
6秒前
9秒前
MRIlingMei完成签到,获得积分10
9秒前
9秒前
9秒前
丰富语蕊应助红豆绵绵冰采纳,获得10
9秒前
大模型应助眉间一把刀采纳,获得10
10秒前
绾颜完成签到 ,获得积分10
10秒前
10秒前
英俊的誉发布了新的文献求助10
11秒前
12秒前
花野小春发布了新的文献求助10
12秒前
隐形曼青应助胖头鱼采纳,获得10
13秒前
思源应助123采纳,获得10
13秒前
染唔唔发布了新的文献求助10
13秒前
smmandmms完成签到 ,获得积分20
14秒前
S1mple发布了新的文献求助10
14秒前
zhabgyyy完成签到,获得积分10
16秒前
烟花应助007采纳,获得10
16秒前
吖桶完成签到,获得积分10
16秒前
bill发布了新的文献求助20
16秒前
molihuakai应助ZC采纳,获得10
16秒前
17秒前
孟德尔吃豌豆完成签到,获得积分10
17秒前
JYX完成签到 ,获得积分10
18秒前
克丽完成签到 ,获得积分10
19秒前
19秒前
小巧乐蕊发布了新的文献求助10
20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
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
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 7583211
求助须知:如何正确求助?哪些是违规求助? 9161912
关于积分的说明 19605377
捐赠科研通 7165260
什么是DOI,文献DOI怎么找? 3266226
关于科研通互助平台的介绍 2431164
邀请新用户注册赠送积分活动 2257564