Theory-Guided Design of N-Confused Porphyrinic Covalent Organic Frameworks for Oxygen Reduction Reaction

化学 共价键 还原(数学) 氧气 光化学 计算化学 有机化学 数学 几何学
作者
Pengpeng Shao,Zhixin Ren,Bo Zhao,Xiao Wang,Jie Li,Jing Xie,Bo Wang,Xiao Feng
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
卷期号:147 (10): 8769-8777 被引量:36
标识
DOI:10.1021/jacs.4c18645
摘要

Covalent organic frameworks (COFs) enable the precise and controlled synthesis of single-atom catalysts with uniformly distributed active metal centers, offering opportunities to elucidate the impact of subtle coordination environment changes on the catalytic performance. Inspired by N-confused porphyrins, we designed 20 metalloporphyrin-based COFs with either M-N3C1 or M-N4 centers, where M refers to 3d transition metals from Sc to Zn, for the electrocatalysis of oxygen reduction reaction (ORR). Density functional theory calculations predicted Co-based COFs to be the best ORR catalysts among the screened catalysts. Hence, Co-N3C1-COF and Co-N4-COF with a high crystallinity were synthesized. The Co-N3C1-COF exhibited improved ORR performance over the parent Co-N4-COF, as it had a reduced overpotential and increased four-electron selectivity, corroborating theoretical predictions. The enhanced performance was ascribed to the increase in electron density on Co as the coordination environment transits from Co-N4 to Co-N3C1. This not only facilitated the adsorption of O2 and critical intermediates but also changed the potential-determining step, which in turn made the ORR free energy profile of Co-N3C1-COF approach equilibrium for all elementary steps, thus leading to a reduced overpotential. This combined theoretical and experimental work exemplified carbon coordination in porphyrin-based COFs as an effective strategy to facilitate the catalytic capability for ORR. A descriptor was also provided to guide the design of coordination-varied Por-COFs 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
1秒前
1秒前
adrian完成签到 ,获得积分10
1秒前
年轻云朵哈完成签到,获得积分10
1秒前
3秒前
SRY发布了新的文献求助10
4秒前
4秒前
VV2001完成签到,获得积分10
5秒前
zhai发布了新的文献求助10
5秒前
传奇3应助淇淇采纳,获得10
7秒前
kkoado发布了新的文献求助10
8秒前
啊哈发布了新的文献求助10
9秒前
无私城完成签到,获得积分10
12秒前
maxlovol应助无期采纳,获得10
12秒前
victorchen完成签到,获得积分10
13秒前
学习的小张完成签到,获得积分10
13秒前
15秒前
15秒前
15秒前
17秒前
夜轩岚发布了新的文献求助10
17秒前
17秒前
17秒前
sue12138发布了新的文献求助10
19秒前
19秒前
Gardenia2001完成签到,获得积分10
19秒前
淇淇发布了新的文献求助10
20秒前
讨厌下雨发布了新的文献求助10
22秒前
毗昙发布了新的文献求助10
22秒前
Gardenia2001发布了新的文献求助10
22秒前
埋头赶路完成签到,获得积分10
23秒前
23秒前
独特的鹅发布了新的文献求助10
25秒前
25秒前
25秒前
我是老大应助安静的芝麻采纳,获得10
25秒前
27秒前
讨厌下雨完成签到,获得积分20
29秒前
涛1118发布了新的文献求助10
29秒前
29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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 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 7639066
求助须知:如何正确求助?哪些是违规求助? 9212206
关于积分的说明 19761593
捐赠科研通 7205836
什么是DOI,文献DOI怎么找? 3275955
关于科研通互助平台的介绍 2437529
邀请新用户注册赠送积分活动 2273219