Cu@SiO2 catalyst with high copper dispersion for chemoselective hydrogenation of p-chloronitrobenzene

双金属片 催化作用 选择性 色散(光学) 吸附 材料科学 化学工程 金属 无机化学 粒径 纳米颗粒 化学 纳米技术 冶金 有机化学 物理 光学 工程类
作者
Xinhui Li,Rui‐Heng Zhu,Baoquan Sun,Like Chen,Hongwei Yang,Xiaohui Liu,Yong Guo,Yanqin Wang
出处
期刊:Chemical Engineering Journal [Elsevier]
卷期号:487: 150652-150652 被引量:4
标识
DOI:10.1016/j.cej.2024.150652
摘要

Selective hydrogenation of p-chloronitrobenzene (p-CNB) is not only of significant industrial importance, but also an important model reaction for selectivity investigation. Despite non-precious metal Cu has been proven to be an effective promoter in bimetallic catalysts, Cu as a single active metal achieving both high conversion and high selectivity are rare reported. In this work, Cu@SiO2 catalysts with high specific surface area (509.8–694.3 m2/g), high Cu dispersion (58.4–69.6 %), and small particle size (2.0–3.0 nm) has been prepared by a simple sol–gel method. The catalysts completely suppress the dechlorination reaction, achieving complete conversion of p-CNB with 99.9 % selectivity for p-chloroaniline (p-CAN). Its microstructure, composition, chemical state, adsorption and reaction behavior have been identified by various conventional ex-situ characterizations of catalysts and in-situ DRIFTs of hydrogenation of p-CNB. Interestingly, even at high loadings, Cu in the catalyst could be highly dispersed, thus exhibiting good catalytic activity. In addition, the Cu catalyst exhibits unique adsorption performance towards p-CNB, which perhaps one of the factors for its good performance. This work not only provides a selective hydrogenation catalyst with high Cu dispersion even at high loading amount by a simple method and but also reveals the importance of the adsorption mode of p-CNB, providing guidance for the development of more efficient catalysts in the future.
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
NexusExplorer应助专注奇迹采纳,获得10
1秒前
1秒前
DDD关闭了DDD文献求助
2秒前
在水一方应助壮观的不言采纳,获得10
2秒前
wanci应助ll采纳,获得10
2秒前
秋收冬藏发布了新的文献求助10
2秒前
2秒前
JamesPei应助司马飞飞采纳,获得10
2秒前
2秒前
科研通AI2S应助司马飞飞采纳,获得10
2秒前
nbzhan关注了科研通微信公众号
3秒前
4秒前
AAAA发布了新的文献求助10
4秒前
明亮的绫完成签到 ,获得积分10
5秒前
6秒前
BBQ发布了新的文献求助10
6秒前
7秒前
fuiee完成签到,获得积分10
7秒前
科研通AI5应助Kidden采纳,获得10
8秒前
鄢浩凝发布了新的文献求助10
10秒前
缓慢咖啡完成签到,获得积分10
11秒前
只与你发布了新的文献求助10
11秒前
11秒前
11秒前
可乐发布了新的文献求助20
13秒前
Orange应助欣喜代秋采纳,获得10
13秒前
我爱wmy应助Ledecky采纳,获得10
13秒前
星辰大海应助yoyo采纳,获得10
14秒前
14秒前
wsxx200024完成签到,获得积分10
14秒前
jjking完成签到,获得积分10
14秒前
15秒前
oyxz完成签到,获得积分10
15秒前
深情安青应助背后的幻巧采纳,获得10
16秒前
孟德尔的豌豆应助nanxi88采纳,获得10
16秒前
wsxx200024发布了新的文献求助10
17秒前
科目三应助HNNUYanY采纳,获得10
17秒前
17秒前
cherishfawn发布了新的文献求助10
18秒前
邢夏之发布了新的文献求助10
19秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2500
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Covalent Organic Frameworks 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3483126
求助须知:如何正确求助?哪些是违规求助? 3072548
关于积分的说明 9127020
捐赠科研通 2764145
什么是DOI,文献DOI怎么找? 1516910
邀请新用户注册赠送积分活动 701852
科研通“疑难数据库(出版商)”最低求助积分说明 700728