ZIF derived nanosheet copper-cobalt oxide/nitrogen-doped carbon via promote peroxymonosulfate activation for the rapid degradation of metronidazole

纳米片 双金属片 化学 氧化物 催化作用 降级(电信) 咪唑 碳纤维 无机化学 氮气 材料科学 化学工程 有机化学 复合材料 工程类 复合数 电信 计算机科学
作者
Chao Ding,Zhoutian Ding,Shuai Mao,Xianyong Hong,Chun Liu,Mingzhu Xia,Fengyun Wang
出处
期刊:Colloids and Surfaces A: Physicochemical and Engineering Aspects [Elsevier BV]
卷期号:683: 132964-132964 被引量:5
标识
DOI:10.1016/j.colsurfa.2023.132964
摘要

In recent years, metal-organic framework derivatives have been regarded as materials with great potential for water treatment applications. In this study, we employed a polyvinylpyrrolidone (PVP)-assisted copper-cobalt bimetallic zeolitic imidazole framework (ZIF) as a template to rationally design nanosheet-like mixed metal oxide embedded nitrogen-doped carbon (CuCoO-PC). CuCoO-PC exhibited excellent degradation potential towards metronidazole (MNZ) and achieved almost complete degradation within 7 min through the activation of peroxymonosulfate (PMS). Importantly, the introduction of copper into CuCoO-PC established strong interactions between copper and cobalt, accelerating the activation performance of PMS. Furthermore, PVP, rich in nitrogen atoms, formed strong coordination interactions with ZIF precursors, which effectively protected the morphological stability of ZIF at high temperature, preventing collapse and aggregation. Meanwhile, the formation of nitrogen-doped carbon networks provides a pathway for the generation of non-radical. The study found that CuCoO-PC continuously activated PMS, generating various reactive oxygen species (ROS), among which SO4•- and 1O2 played decisive roles. By calculating the HOMO, LUMO, and Fukui functions, we identified the reactive sites of MNZ and proposed possible degradation pathways. CuCoO-PC demonstrated excellent catalytic performance, reduced toxicity of intermediate products, and good reusability, all of which highlight its enormous potential in practical applications.

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
1111完成签到,获得积分10
1秒前
田田圈发布了新的文献求助10
1秒前
咋还完成签到,获得积分10
1秒前
xy完成签到 ,获得积分10
1秒前
Kkxx完成签到 ,获得积分10
1秒前
2秒前
996完成签到,获得积分10
2秒前
ZeKaWa应助小蜗采纳,获得10
3秒前
4秒前
帥鸽完成签到,获得积分10
5秒前
5秒前
隐形曼青应助yls采纳,获得10
5秒前
123发布了新的文献求助10
5秒前
未来可期发布了新的文献求助10
5秒前
周明达发布了新的文献求助10
5秒前
张少良完成签到,获得积分20
6秒前
Extreme_jiang完成签到,获得积分10
7秒前
lastleaves关注了科研通微信公众号
7秒前
ZeKaWa应助优雅的雪一采纳,获得10
8秒前
垚垚发布了新的文献求助10
8秒前
李爱国应助ggfygggg采纳,获得10
9秒前
10秒前
11秒前
13秒前
LL完成签到 ,获得积分10
13秒前
酷波er应助ling22采纳,获得10
13秒前
科研大拿完成签到 ,获得积分10
14秒前
澄桦发布了新的文献求助10
15秒前
15秒前
15秒前
霸王柚柚柚完成签到,获得积分10
15秒前
16秒前
墨怡发布了新的文献求助10
17秒前
NexusExplorer应助小椰子采纳,获得10
17秒前
123完成签到,获得积分10
18秒前
ph发布了新的文献求助10
19秒前
19秒前
搜集达人应助tara采纳,获得10
20秒前
sai完成签到,获得积分10
20秒前
20秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492575
求助须知:如何正确求助?哪些是违规求助? 8290160
关于积分的说明 17690262
捐赠科研通 5584436
什么是DOI,文献DOI怎么找? 2915380
邀请新用户注册赠送积分活动 1892503
关于科研通互助平台的介绍 1750636