Atomic-Dispersed Rh Enables Efficient Catalytic Nitrile Hydrogenation: Size Effect and Metal-Dependent Effect

苯甲腈 催化作用 选择性 化学 氢解 金属 吸附 材料科学 有机化学
作者
Jiawei Chen,Yueyue Jiao,Xuetao Qin,Xiangbin Cai,Maolin Wang,Jiangyong Diao,Linlin Wang,Chengyu Li,Pengju Ren,Xiaodong Wen,Ning Wang,Junfeng Rong,Dequan Xiao,Hongyang Liu,Ding Ma
出处
期刊:ACS Catalysis [American Chemical Society]
卷期号:13 (13): 8354-8361 被引量:43
标识
DOI:10.1021/acscatal.3c01562
摘要

The hydrogenation of nitriles to amines, as an atom-economical synthetic route, has attracted wide attention in industrial production. Despite that some catalysts for nitrile hydrogenation have been investigated in recent years, achieving high activity and selectivity in this process remains a major challenge. Here, we fabricated an atomically dispersed Rh catalyst anchored on defect-rich nanodiamond-graphene (ND@G) via a deposition–precipitation strategy (Rh 1 /ND@G), which showed the highest activity (TOF = 2592 h –1 ) in the hydrogenation of benzonitrile reaction among all the known catalysts under mild reaction conditions (333 K, 0.6 MPa H 2 ), and delivered high selectivity (>99%) toward secondary amines. Significantly, we prepared the Rh-cluster catalyst (Rh n /ND@G) and a series of atomically dispersed M 1 catalysts (M = Rh, Ru, Pd, Ir, and Pt) to understand the size effect and metal-dependent effect in the hydrogenation of benzonitrile. Experimental and theoretical investigations revealed that the Rh 1 /ND@G catalyst has higher selectivity toward dibenzylamine than Rh n /ND@G, as it is less likely to form benzylamine on the Rh 1 active sites. Meanwhile, the difference of adsorption energies (as a catalyst descriptor) between benzylideneimine and benzonitrile was used to understand the activity of benzonitrile hydrogenation influenced by the metal-dependent effect of M 1 catalysts. Modulating the size and metal-dependent effects could lead to high catalytic performance, paving the way to design efficient nitrile hydrogenation 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
gxr完成签到,获得积分20
刚刚
1秒前
Zeno完成签到,获得积分10
2秒前
深情安青应助谦让的含海采纳,获得10
2秒前
所所应助mouhao1采纳,获得10
2秒前
3秒前
上官若男应助stupid采纳,获得10
5秒前
5秒前
斯文败类应助柴六斤采纳,获得10
6秒前
背后无剑完成签到,获得积分10
6秒前
zt完成签到,获得积分10
7秒前
Owen应助舒服的千愁采纳,获得10
7秒前
8秒前
9秒前
9秒前
11秒前
11秒前
小蘑菇应助宝宝贝贝采纳,获得10
12秒前
shy发布了新的文献求助10
12秒前
12秒前
12秒前
段培炎发布了新的文献求助10
13秒前
13秒前
天天快乐应助不器君采纳,获得10
14秒前
Chur发布了新的文献求助10
14秒前
zkz完成签到,获得积分10
14秒前
脑洞疼应助小黄人采纳,获得10
15秒前
大个应助俊逸笑阳采纳,获得10
16秒前
看看发布了新的文献求助10
16秒前
楸霁发布了新的文献求助10
16秒前
KeWang发布了新的文献求助20
17秒前
隐形曼青应助比巴伯采纳,获得10
17秒前
EVSSDF应助清爽的忆之采纳,获得10
18秒前
18秒前
赘婿应助糟糕的天与采纳,获得10
20秒前
20秒前
Akim应助00hello00采纳,获得10
21秒前
Akim应助夏晴采纳,获得10
24秒前
25秒前
曲琪ovo完成签到,获得积分10
26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
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
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
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 7588851
求助须知:如何正确求助?哪些是违规求助? 9166971
关于积分的说明 19620547
捐赠科研通 7168696
什么是DOI,文献DOI怎么找? 3267100
关于科研通互助平台的介绍 2432018
邀请新用户注册赠送积分活动 2259176