科研速览 · Science Skim继续刷下去 · Keep skimming →
◆ Journal of the American Chemical Society2026-05-07· Chemistry

Electronic Trap State Engineered Covalent Organic Frameworks for Programmable Selectivity of Photocatalytic Molecular Oxygen Activation

Jikuan Qiu, Baihua Liang, Hanping Zhai, Yuling Zhao, Yucheng Jin, Zhiyong Li, Zhiyong Li, Huiyong Wang, Zhongping Li, Zhongping Li, Jong-Beom Baek, Jianji Wang

原始摘要(英文原文)· Original abstract
Covalent organic frameworks (COFs) with ordered π skeletons and aligned nanopores could be ideal photocatalytic materials for molecular oxygen activation. Achieving selective generation of specific reactive oxygen species (ROS), such as superoxide radicals (O 2 •– ) and singlet oxygen ( 1 O 2 ), has remained a challenge in precision photocatalysis. Herein, we report an electronic trap engineering strategy to control ROS selectivity in COFs. It was found that perturbation of the density of carbonyl groups and the partial linkage tautomerization can systematically tune the energy depth of electron traps. Based on this finding, a series of topologically analogous COFs have been designed and synthesized. Among these COFs, COF–HNU60, featuring shallow traps, facilitates stepwise charge separation that enables a sequential redox process to 1 O 2 . By contrast, the deep traps in COF–HNU70 and COF–HNU80 stabilize photogenerated electrons and promote selective accumulation of O 2 •– ̅ by halting further oxidation. A series of advanced photocatalytic oxidation reactions highlight distinct ROS pathways correlated with trap energy level. Mechanistic studies reveal that the energy depth of electron traps mainly dictates charge separation kinetics and carrier lifetime, thereby governing the selective evolution of O 2 •– ̅ and 1 O 2 . This work provides a new design principle for COF-based photocatalysts by highlighting the role of trap energy levels in tuning ROS selectivity.
读原文 · Read the paper ↗

AI 追问PRO

登录后使用 AI 追问

讨论区

登录后参与讨论

相关论文 · Related

Electronic Trap State Engineered Covalent Organic Frameworks for Programmable Selectivity of Photocatalytic Molecular Oxygen Activation — 科研速览 Science Skim