光催化
系统间交叉
催化作用
单线态氧
共价键
光化学
化学
试剂
环境友好型
密度泛函理论
三重态
单重态
材料科学
纳米技术
磷光
组合化学
多相催化
纳米颗粒
共价有机骨架
分子
亚砜
可见光谱
金属有机骨架
光催化
分子氧
多孔性
化学工程
作者
Amitha Agnes Fernandes,Ajeet Kumar Singh,Sk. Jubeda Begum,Sunny Sarkar,E Varadharajan,Santu Ruidas,Anita Das,Astam Kumar Patra,Lisa Roy,Asim Bhaumik,Sasanka Dalapati
出处
期刊:Chemsuschem
[Wiley]
日期:2026-02-01
卷期号:19 (3): e202502392-e202502392
被引量:2
标识
DOI:10.1002/cssc.202502392
摘要
Small changes in molecular structure can modify the energy landscape by altering the electronic functions of the covalent organic frameworks (COFs) toward photocatalytic reactions. Herein, porphyrin‐based visible‐light photosensitizers embedded in crystalline and porous COFs are showcased, offering substantial utilization of natural sunlight during photocatalysis. A detailed investigation of photophysical, photoelectrochemical, and photocatalysis reaction kinetics, along with controlled experiments, suggests that π‐conjugation in COFs plays an indispensable role in highly selective and efficient photocatalysis by in situ generating singlet oxygen ( 1 O 2 ) from triplet molecular oxygen via an energy or electron‐transfer mechanism. The pharmaceutically important sulfoxide precursors with various functional group tolerances were synthesized via selective oxidation under mild and environmentally friendly synthesis conditions. The metal‐free COF catalyst was recycled at least five times without deteriorating the photocatalytic activity. The density functional theory calculation further reveals that efficient access to the low‐energy triplet state, via enhanced intersystem crossing efficiency, relies on the molecular design of sustainable COF catalysts that influence 1 O 2 generation kinetics, high selectivity, and conversion. Sunlight‐driven photocatalysis under mild conditions without requiring toxic reagents or nonrecyclable additives is an emerging strategy to access value‐added chemicals in a “greener” and sustainable fashion, considering the energy efficiency and environmental safety.
科研通智能强力驱动
Strongly Powered by AbleSci AI