Regulating Functionalities in a Photoactive Covalent Organic Framework for Selectively Synergistic Efficiency Enhancement in Photocatalytic Aerobic Oxidations

光催化 材料科学 共价键 光致发光 纳米技术 苯甲酸 组合化学 载流子 化学工程 光化学 金属有机骨架 光降解 共价有机骨架 催化作用
作者
Shuo Kong,Cong‐Rui Ren,Tian‐Xiang Luan,Haifeng Lu,Yanmei Yang,Weifeng Li,Shiling Yuan,William W. Yu,Pei‐Zhou Li
出处
期刊:Advanced Functional Materials [Wiley]
标识
DOI:10.1002/adfm.77783
摘要

ABSTRACT Besides the active sites, regulating the functionalities in photocatalysts is also crucial for enhancing photocatalytic efficiency. Herein, an imine‐linked 3D covalent organic framework, Py‐PA‐COF, with pts topology was synthesized and after modulating the pore microenvironment by grating different functionalities (benzene, benzoic acid, pyridine) into the pristine framework, three quinoline‐linked COFs, Py‐PA‐COF‐Q, Py‐PA‐COF‐QA, Py‐PA‐COF‐QB with analogous network were successfully obtained. Experimental analyses demonstrate that the incorporated functionalities not only enhanced their efficiency of charge separation and migration, but also synergistically increased the photocatalytic activity toward specific substrates. Interactions analyses by steady‐state photoluminescence spectroscopy and the Dual Descriptor isosurface distribution calculations revealed that the inherent interactions between the substrates and the functionalities can enhance the mass transfer capability in the COF‐based photocatalysts and thereby beneficial for the rapid transfer of generated ROS to the reaction substrates and avoiding self‐quenching and finally therefore synergistically enhance their photocatalytic reactivity. This work demonstrates the selectively synergistic enhancement of the photocatalytic efficiency by modulating functionalities in photoactive COFs and provides a new insight for photocatalyst design.
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
天天快乐应助xiaomaihua采纳,获得10
刚刚
刚刚
bkagyin应助缥缈的冰岚采纳,获得10
1秒前
要减肥的之云完成签到 ,获得积分10
1秒前
ding应助JOE采纳,获得10
1秒前
小琦无敌发布了新的文献求助10
2秒前
1111发布了新的文献求助10
2秒前
2秒前
满意的慕凝完成签到,获得积分10
3秒前
斯文败类应助木木采纳,获得10
3秒前
木子发布了新的文献求助10
3秒前
JIA完成签到,获得积分10
3秒前
王浩莹发布了新的文献求助10
3秒前
4秒前
1874发布了新的文献求助10
6秒前
偷看星星发布了新的文献求助10
6秒前
Liulu发布了新的文献求助10
6秒前
6秒前
ElbingX发布了新的文献求助20
7秒前
7秒前
Molly86完成签到 ,获得积分10
7秒前
GGGrigor发布了新的文献求助10
7秒前
勤劳寒烟完成签到,获得积分10
8秒前
8秒前
8秒前
Hachi爸爸发布了新的文献求助30
9秒前
9秒前
9秒前
kerbal完成签到,获得积分10
9秒前
时尚山菡发布了新的文献求助20
10秒前
roy_chiang发布了新的文献求助10
10秒前
Ran关闭了Ran文献求助
10秒前
星辰大海应助琼琼采纳,获得10
10秒前
10秒前
10秒前
wyh99发布了新的文献求助10
11秒前
11秒前
11秒前
12秒前
Ava应助1111采纳,获得10
12秒前
高分求助中
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 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 7601632
求助须知:如何正确求助?哪些是违规求助? 9177954
关于积分的说明 19653522
捐赠科研通 7177439
什么是DOI,文献DOI怎么找? 3268921
关于科研通互助平台的介绍 2433162
邀请新用户注册赠送积分活动 2262595