Enhanced activation of peroxymonosulfate using ternary MOFs-derived MnCoFeO for sulfamethoxazole degradation: Role of oxygen vacancies

化学 三元运算 氧气 降级(电信) 化学工程 有机化学 计算机科学 电信 工程类 程序设计语言
作者
Yanling Chen,Xue Bai,Yetong Ji,Dandan Chen
出处
期刊:Journal of Hazardous Materials [Elsevier BV]
卷期号:441: 129912-129912 被引量:122
标识
DOI:10.1016/j.jhazmat.2022.129912
摘要

Herein, ternary metal-organic frameworks (MOFs)-derived MnCoFeO with different levels of oxygen vacancies (Ov) were designed by adjusting the doping amount of Mn and employed to activate peroxymonosulfate (PMS) for sulfamethoxazole (SMX) degradation. The MnCoFeO-2 with the largest Ov content exhibited the highest SMX degradation efficacy. Almost 100% of SMX was removed within 5 min using the MnCoFeO-2/PMS system. The reaction rate constant (kobs) was 1.7321 min−1, which was 4.1 times that of CoFeO (0.4195 min−1). Both the SO4•− and 1O2 were the dominant reactive oxygen species. Significantly, the relationship among Ov, radical pathways, and non-radical pathways was explored for the first time. The results showed that Ov could regulate the radical pathways by promoting the adsorption of PMS onto MnCoFeO-2. Ov was positively correlated with 1O2 (P < 0.05) and facilitated the direct electron transfer. The superior catalytic activity of MnCoFeO was attributed to the Fe, Co, Mn active sites, Lewis basic sites and Ov in MnCoFeO. Mn(II) not only contributed to the formation of Ov, but also facilitated the reduction of Fe(III). Additionally, Ov was mainly concentrated near the low-valent metal ions, thus the synergistic effect between the metal active sites and Ov promoted the activation of PMS.
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
shu发布了新的文献求助10
1秒前
管某发布了新的文献求助10
1秒前
2秒前
2秒前
慕青应助fm采纳,获得30
2秒前
Lucas应助钦星的爹采纳,获得10
3秒前
3秒前
腼腆的男神完成签到,获得积分20
3秒前
3秒前
汉堡包应助NMSL采纳,获得10
4秒前
4秒前
hnlgdx发布了新的文献求助10
4秒前
5秒前
明明明发布了新的文献求助10
6秒前
6秒前
wst发布了新的文献求助10
6秒前
Orange应助化雪彼岸采纳,获得10
6秒前
547351完成签到,获得积分10
6秒前
7秒前
盛夏完成签到,获得积分20
7秒前
Sun发布了新的文献求助10
7秒前
7秒前
7秒前
ding应助高兴溪流采纳,获得10
8秒前
JamesPei应助Tzzl0226采纳,获得10
8秒前
小小牛发布了新的文献求助10
9秒前
Zongxin完成签到,获得积分10
9秒前
9秒前
9秒前
Hello应助Joker采纳,获得10
10秒前
10秒前
xiao123789发布了新的文献求助10
11秒前
11秒前
Akim应助李先生采纳,获得30
11秒前
ZHANG6545发布了新的文献求助10
12秒前
lisbattery发布了新的文献求助20
12秒前
酷波er应助Sunny采纳,获得50
13秒前
13秒前
13秒前
壳壳发布了新的文献求助10
14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 6493084
求助须知:如何正确求助?哪些是违规求助? 8290568
关于积分的说明 17691341
捐赠科研通 5585230
什么是DOI,文献DOI怎么找? 2915545
邀请新用户注册赠送积分活动 1892630
关于科研通互助平台的介绍 1750980