Electroactive Model‐Guided Design of Conductive Metal–Organic Framework Heterojunctions for Enhanced Photocatalytic Performance
Abstract
Abstract Heterojunction engineering in nanomaterials has been a cornerstone of research in diverse fields owing to its profound impact on charge transport and interfacial properties. However, despite recent insights suggest that precise control over the heterostructures is critical for optimal functionality, a universally guideline defining the optimal heterostructures remains elusive. Herein, we proposed a novel “electroactive model guidance” approach to guide the nanostructures design in redox‐active conductive metal‐organic frameworks (c‐MOFs) based p‐n heterojunction for high performance photocatalyst. Chosen Cu 2 O@c‐MOFs core‐shell heterostructures as model, we optimized the shell thickness based on a mathematical electroactive model. The optimized structure achieved a tenfold photocurrent enhancement compared to pristine Cu 2 O—a record‐high for heterojunctions. The heterojunctions with optimal shell thicknesses exhibited outstanding degradation efficiency for tetracycline, with a catalytic degradation efficiency up to 99.35% and exhibited the rate constant of 0.065 min −1 , this represents the highest rate constant, reported to date for such systems. Furthermore, the universality of this theoretical model extends to other c‐MOFs, such as Cu‐OHPTP and Cu‐DBC, which similarly exhibit significantly enhanced performance. This work not only provides a robust framework for the rational design of redox‐active semiconductor heterojunction but also offers valuable insights into optimizing their functional properties for advanced applications.
Article Details
Authors (11)
Zhijie Xie
Weichao Xue
College of Chemistry
Zhanglin Weng
Department of Chemistry MOE Key Laboratory of Analysis and Detection for Food Safety and Biology Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety Fuzhou University Fuzhou 350108 P.R. China
Yingying Jiang
Shuo Zhang
Jingjuan Liu
Tianjin Key Laboratory of Life and Health Detection Life and Health Intelligent Research Institute Tianjin University of Technology Tianjin 300384 P.R. China
Cuiying Lin
Department of Chemistry MOE Key Laboratory of Analysis and Detection for Food Safety and Biology Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety Fuzhou University Fuzhou 350108 P.R. China
Bin Qiu
Wei Lin
Zhenyu Lin
Chuanhui Huang
Center for Advancing Electronics Dresden & Faculty of Chemistry and Food Chemistry