Zirconium-based Metal-Organic Frameworks for highly efficient solar light-driven photoelectrocatalytic disinfection

光电流 金属有机骨架 辐照 光催化 材料科学 金属 光化学 化学 催化作用 冶金 光电子学 吸附 有机化学 物理 核物理学
作者
Laura Valenzuela,Georgiana Amariei,Chizoba I. Ezugwu,Marisol Faraldos,A. Bahamonde,Marta E. G. Mosquera,Roberto Rosal
出处
期刊:Separation and Purification Technology [Elsevier BV]
卷期号:285: 120351-120351 被引量:15
标识
DOI:10.1016/j.seppur.2021.120351
摘要

Two synthesized zirconium-based Metal-Organic Frameworks (Zr-MOFs), using 2,6-naphthalenedicarboxylic acid (NDC) and amino-functionalized NDC (4,8-diaminonaphthalene-2,6-dicarboxylic acid, NDC-2NH2) as linkers, have been studied in photoelectrocatalytic disinfection processes. The Zr-based MOFs were deposited onto graphite paper and were deeply analysed to unravel their behaviour in electrocatalytic (EC), photocatalytic (PC) and photoelectrocatalytic (PEC) configurations under solar (Xe-arc lamp), visible (Xe-arc lamp + 400 nm cut-off filter) and 365 nm UV-LED irradiation. TPC results showed reproducible photocurrent response upon repeated on–off cycles and bandgaps were calculated to be 3.13 and 2.11 eV for Zr-NDC and Zr-NDC-2NH2, respectively. The highest photocurrent was obtained for 365 nm UVA in Zr-NDC and was similar for both UVA and solar irradiation in the case of Zr-NDC-2NH2. The Zr-MOFs catalytic electrodes were evaluated for their disinfection activity using a strain of Staphylococcus aureus and performance tracked by measuring colony forming units (CFU). The disinfection efficiency was higher in PEC than PC studies (>2-log reduction or 99 % CFU inhibition) under 365 nm UVA irradiation, suggesting that the anodic bias potential effectively minimized the recombination of the photogenerated electron-hole pairs. A complete disinfection was reached after 60 and 20 min under irradiation of full Xe-arc (solar) spectrum in PC and PEC runs, respectively, for both Zr-MOFs. The high disinfection capacity under solar irradiation was attributed to the transfer of photoexcited electrons from ligand to cluster by high energy photons.
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
yjh123应助藤藤菜采纳,获得100
刚刚
1秒前
明亮诗桃发布了新的文献求助10
2秒前
乐乐应助科研通管家采纳,获得10
2秒前
2秒前
Gyz应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
Wiesen发布了新的文献求助10
2秒前
酷波er应助科研通管家采纳,获得10
2秒前
Hello应助科研通管家采纳,获得10
2秒前
无花果应助科研通管家采纳,获得10
2秒前
3秒前
Zeus发布了新的文献求助10
3秒前
3秒前
Dean应助科研通管家采纳,获得100
3秒前
3秒前
宋可乐完成签到,获得积分10
3秒前
小蘑菇应助科研通管家采纳,获得10
3秒前
安妮发布了新的文献求助10
3秒前
领导范儿应助科研通管家采纳,获得10
3秒前
Lucas应助科研通管家采纳,获得10
4秒前
CodeCraft应助yztz99采纳,获得10
4秒前
jackson98z完成签到 ,获得积分10
4秒前
4秒前
4秒前
sagitar应助Mic采纳,获得200
4秒前
4秒前
ddd应助科研通管家采纳,获得10
4秒前
4秒前
婉孝完成签到,获得积分10
4秒前
wanci应助科研通管家采纳,获得10
4秒前
4秒前
5秒前
5秒前
大个应助科研通管家采纳,获得20
5秒前
CodeCraft应助深深采纳,获得10
5秒前
Slowdancer完成签到,获得积分10
5秒前
英俊的铭应助caomei采纳,获得10
5秒前
顾矜应助xr采纳,获得10
6秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 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 7582222
求助须知:如何正确求助?哪些是违规求助? 9161271
关于积分的说明 19602325
捐赠科研通 7164426
什么是DOI,文献DOI怎么找? 3266122
关于科研通互助平台的介绍 2431004
邀请新用户注册赠送积分活动 2257312