光催化
纳米技术
蓝图
生化工程
有机合成
催化作用
共价键
材料科学
化学
有机反应
反应性(心理学)
金属有机骨架
反应条件
动态共价化学
有机聚合物
设计要素和原则
计算机科学
机制(生物学)
作者
Xiangfeng Lin,Jiaxian Zheng,Liwei Wang,Jie Wang,Dong Jiang,Yusuke Yamauchi,Chaoqun Zhang,Zhanhui Yuan
出处
期刊:ACS Catalysis
[American Chemical Society]
日期:2025-12-19
卷期号:16 (1): 57-97
被引量:8
标识
DOI:10.1021/acscatal.5c06316
摘要
Photocatalysis offers a mild and energy-efficient strategy for organic synthesis, yet developing systems that integrate high activity, selectivity, and recyclability remain a major challenge. Covalent organic frameworks (COFs) have emerged as a distinctive class of crystalline porous polymers with promise in visible-light-driven organic photocatalysis. Their tunable architecture, high stability, and designable optoelectronic properties endow COFs with distinctive advantages as heterogeneous photocatalysts. This review comprehensively summarizes recent advances in COF-mediated photocatalytic organic transformations, with a particular focus on the underlying reaction mechanisms. We highlight representative reaction categories, including oxidation, addition, C–H functionalization, cross-coupling, and more, and examine how the structural features of COFs influence reactivity and selectivity. Methodologies employed to elucidate reaction mechanisms are critically discussed, offering insights into the fundamental principles governing photocatalytic behavior. Moreover, we outline recent developments in hybrid systems integrating COFs with transition metals to enhance catalytic activity and broaden reaction scopes. Despite notable progress, challenges remain in expanding the diversity of COF-photocatalyzed reactions and unraveling complex structure–activity relationships. Looking forward, we propose future directions involving tailored COFs design, advanced mechanistic investigations, and the development of multifunctional, synergistic catalytic systems. This review aims to offer a mechanistic foundation and design blueprint for advancing COF-based platforms in organic synthesis.
科研通智能强力驱动
Strongly Powered by AbleSci AI