Zhang Weidong, Chen Shurui, Shen Kai, Zhu Jing, Liu Yong, Mao Xianwen
Department of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore.
Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117575, Singapore.
Chem Biomed Imaging. 2023 Aug 30;1(6):522-536. doi: 10.1021/cbmi.3c00074. eCollection 2023 Sep 25.
Understanding the fundamental processes of charge carrier generation, separation, transport, and reactivity on the surface of semiconductors is crucial for the rational design of high-performance photo(electro)catalysts for various energy conversion applications. Nevertheless, the ubiquitous and intricate heterogeneity exhibited by individual catalysts poses a significant obstacle to achieving a comprehensive understanding of the structure-function relationships using bulk-level, ensemble-averaged characterizations. This review highlights the emerging operando imaging techniques capable of providing local functional information, such as surface photovoltage, photoluminescence, charge carrier reaction rate, and photocurrent, at the single particle to subparticle level. By establishing correlations between the acquired local functional information and the specific structural characteristics of the catalyst, a quantitative, holistic understanding of the structure-function relationship in photo(electro)catalysts can be achieved. This understanding can serve as a foundation for guiding the design of photocatalysts with enhanced energy conversion performance.
理解半导体表面电荷载流子的产生、分离、传输和反应的基本过程,对于合理设计用于各种能量转换应用的高性能光(电)催化剂至关重要。然而,单个催化剂所表现出的普遍且复杂的不均匀性,给使用体相水平、系综平均表征来全面理解结构 - 功能关系带来了重大障碍。本综述重点介绍了新兴的原位成像技术,这些技术能够在单颗粒到亚颗粒水平提供局部功能信息,如表面光电压、光致发光、电荷载流子反应速率和光电流。通过建立所获取的局部功能信息与催化剂特定结构特征之间的相关性,可以实现对光(电)催化剂结构 - 功能关系的定量、整体理解。这种理解可为指导设计具有增强能量转换性能的光催化剂奠定基础。