Synergistic effect of copper and nickel oxides from MOF-74 precursors for enhanced catalytic reduction of p-nitrophenol

化学 非阻塞I/O 催化作用 煅烧 吸附 氧化镍 化学工程 无机化学 物理化学 有机化学 工程类
作者
Ying Chen,Ting Zhu,Ziwei Wang,Juan Zhang,Hanke Li,Hongquan Fu,Fang Liao
出处
期刊:Journal of Molecular Structure [Elsevier BV]
卷期号:1303: 137572-137572 被引量:5
标识
DOI:10.1016/j.molstruc.2024.137572
摘要

Catalytic reduction stands out as a promising approach for wastewater treatment due to its inherent simplicity, mild reaction conditions, and high efficiency. In this work, Cu/Ni-MOF-74 precursors with different Cu2+/Ni2+ ratios were prepared by hydrothermal method and calcined them at 400 °C for 2h to obtain the corresponding CuO/NiO composite catalysts. The experimental results showed that the catalytic reduction of 4-Nitrophenol (4-NP) by CuO/NiO was significantly stronger than that of CuO and NiO separately. Remarkably, the best CuO/NiO-1 catalytic reduction of 4-NP exhibits the pseudo-first-order kinetic constant k of 0.28 min−1 and the mass normalization constant km of 56 min−1 mg−1. Compared with CuO and NiO, the prepared CuO/NiO-1 composite catalyst with a large specific surface area can provide more active sites for the adsorption and diffusion of 4-NP. Notably, this catalytic reaction mechanism aligned with the Langmuir-Hinshelwood model. Theoretical investigations further elucidated that the synergistic interplay between CuO and NiO bolstered the adsorption of H species and 4-NP, while also aiding in product desorption. This study not only presents a novel approach for designing and synthesizing highly active catalysts for 4-NP but also lays the groundwork for future advancements in this field.
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
qt完成签到,获得积分10
刚刚
刚刚
酷波er应助元骏采纳,获得10
1秒前
FashionBoy应助苍刺采纳,获得10
1秒前
2秒前
乐乐应助元骏采纳,获得10
3秒前
penguo发布了新的文献求助30
3秒前
积极的羽毛完成签到 ,获得积分10
4秒前
5秒前
充电宝应助元骏采纳,获得10
5秒前
6秒前
你好我是小白完成签到,获得积分10
7秒前
7秒前
wakaka12138应助Derris采纳,获得10
8秒前
田野完成签到,获得积分20
8秒前
乐乐应助长情的千风采纳,获得10
8秒前
顺利fashen发布了新的文献求助10
9秒前
舒适翠柏发布了新的文献求助10
9秒前
zzzqqq完成签到,获得积分10
9秒前
12秒前
autism发布了新的文献求助10
12秒前
zyb完成签到,获得积分10
13秒前
赘婿应助卫绯采纳,获得10
14秒前
lqhccww发布了新的文献求助10
15秒前
烟花应助方曦辉采纳,获得10
16秒前
17秒前
科研通AI6.1应助海之恋心采纳,获得10
17秒前
17秒前
18秒前
18秒前
esther完成签到,获得积分10
18秒前
CipherSage应助科研通管家采纳,获得10
19秒前
19秒前
共享精神应助科研通管家采纳,获得10
20秒前
ding应助科研通管家采纳,获得10
20秒前
愉快惮应助科研通管家采纳,获得10
20秒前
田様应助科研通管家采纳,获得10
20秒前
NexusExplorer应助科研通管家采纳,获得10
20秒前
斯文败类应助科研通管家采纳,获得10
20秒前
20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
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
Petrology and Plate Tectonics 800
Matrix Methods in Data Mining and Pattern Recognition 540
Trees of tropical Asia : an illustrated guide to diversity 500
Materials Informatics Molecules, Crystals and Beyond A volume in Acta Materialia Book Series 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 7051209
求助须知:如何正确求助?哪些是违规求助? 8715928
关于积分的说明 18454304
捐赠科研通 6568981
什么是DOI,文献DOI怎么找? 3120132
关于科研通互助平台的介绍 2208464
邀请新用户注册赠送积分活动 2095744