Exploring the mechanism of electron transfer-mediated peroxymonosulfate activation over Cu-based catalyst for the selective decomposition of bisphenol A

催化作用 吸附 化学 电子转移 双酚A 分解 密度泛函理论 选择性 光化学 化学工程 无机化学 物理化学 有机化学 计算化学 环氧树脂 工程类
作者
Xiang Chen,Tao Guo,Lifeng Yin,Yuanzheng Zhang,Junfeng Niu,John C. Crittenden
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:471: 144774-144774 被引量:22
标识
DOI:10.1016/j.cej.2023.144774
摘要

Effective degradation of aquatic contaminants highly depends on the adsorption of peroxymonosulfate (PMS) on active sites of catalysts. However, the influence of PMS adsorption state on PMS activation remains unclear. In this study, we investigated the catalytic performance of a Cu-NC catalyst, composed of dispersed Cu atoms on a nitrogen-doped carbon skeleton, for the activation of PMS in decomposing bisphenol A (BPA). The Cu-NC-4 catalyst exhibited remarkable selectivity and efficiency, achieving a kinetic rate of 0.997 min−1 with over 99.9% BPA removal in just 3 min. Through various experiments and characterizations, we determined that the degradation process was primarily facilitated by electron transfer from BPA to Cu-NC. Furthermore, the dosing sequence of PMS and pollutants was found to be crucial in the system. Density functional theory (DFT) simulation revealed that PMS with bridging adsorption on the Cu site exhibited more favorable adsorption energy, leading to enhanced electron transfer and more efficient and selective destruction of electron donors. Based on these findings, we propose a mechanism in which the electron donor plays a crucial role in PMS activation, while the nearby Cu sites optimize the adsorption configuration of PMS, thereby boosting electron transfer. These two factors synergistically contribute to the efficient removal of pollutants.
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
qdsj2033完成签到,获得积分10
刚刚
lzq完成签到,获得积分10
刚刚
猪哥哥发布了新的文献求助10
刚刚
1秒前
小二郎应助surina采纳,获得10
1秒前
神勇的荟发布了新的文献求助10
1秒前
天天快乐应助ZCL采纳,获得10
2秒前
culu发布了新的文献求助10
2秒前
3秒前
wuli发布了新的文献求助10
3秒前
Guo应助Modric采纳,获得10
3秒前
xjm发布了新的文献求助10
3秒前
xiaoqiu发布了新的文献求助10
3秒前
梦想应助和谐的咖啡豆采纳,获得10
3秒前
领导范儿应助Huasheng采纳,获得10
4秒前
Ava应助小西米采纳,获得10
4秒前
森昕完成签到,获得积分20
6秒前
BO发布了新的文献求助10
6秒前
研友_LN3xyn完成签到,获得积分10
6秒前
大橙子完成签到,获得积分10
7秒前
7秒前
7秒前
小新发布了新的文献求助10
7秒前
白nb66完成签到 ,获得积分10
8秒前
8秒前
酷波er应助无情的凌寒采纳,获得10
9秒前
9秒前
亮123完成签到,获得积分10
9秒前
9秒前
田様应助culu采纳,获得10
9秒前
我是老大应助oil采纳,获得10
9秒前
剑来不来完成签到,获得积分10
10秒前
单调的蜜蜂完成签到,获得积分10
10秒前
10秒前
辛勤的鹰完成签到 ,获得积分10
10秒前
Dream完成签到,获得积分0
11秒前
天天快乐应助拉布拉多采纳,获得10
11秒前
11秒前
11秒前
12秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
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 6478186
求助须知:如何正确求助?哪些是违规求助? 8279778
关于积分的说明 17658855
捐赠科研通 5560477
什么是DOI,文献DOI怎么找? 2911013
邀请新用户注册赠送积分活动 1887993
关于科研通互助平台的介绍 1741693