Framework structure engineering of polymeric carbon nitrides and its recent applications
Framework structure engineering of polymeric carbon nitrides and its recent applications
复制标题
DOI：
10.1016/j.pmatsci.2022.101056
复制
发表时间：
2022-12
影响因子：
37.4
通讯作者：
Bin Tian;D. Ho;J. Qin;Jinguang Hu;Zhangxing Chen;D. Voiry;Qianqian Wang;Zhiyuan Zeng
中科院分区：
文献类型：
--
作者：
Bin Tian;D. Ho;J. Qin;Jinguang Hu;Zhangxing Chen;D. Voiry;Qianqian Wang;Zhiyuan Zeng
聚碳氮化物(CN)作为一种新型半导体材料，具有合成简单、无毒、富含稀土、物理化学稳定性高等优点，在光催化、环境修复、传感、生物医学等新兴领域具有广阔的应用前景。CN的简单合成和聚合特性使其结构易于根据元素、单体结构和结构单元进行剪裁，从而控制其性能，从而在各种应用中获得优异的性能。尽管已有综述总结了氰基材料的设计和改性策略，但大多集中在表面工程和纳米结构的构建上，缺乏从骨架结构的角度进行分析。本文系统地总结了通过元素掺杂、缺陷工程、调整结晶度、配位工程和分子掺杂等各种策略，从元素到单体，再到结构单元，合理设计和制造CN骨架方面的振奋人心的突破。重要的是，我们总结了CN框架结构与其在各种应用中的性能之间的一般规律，以更好地了解CN框架的现状和对未来研究方向的规划。
Polymeric carbon nitrides (CN) as star semiconductive materials have attracted increasing attention owing to its numerous superior features, such as facile synthesis, non-toxicity, earth-abundant, high physicochemical stability, and all of these endow its great potentials from photocatalysis to environmental remediation, sensing, biomedicine, and other emerging fields. The facile synthesis and polymeric characteristic of CN allow easy tailoring of their framework from elements, the structure of monomers, and tectonic units to control their properties and then to obtain superior performance in various applications. Although there have been reviews summarizing design and modification strategies of CN-based materials, most of them have focused only on surface engineering and nanostructure construction, lacking analysis from the point of view of the framework structure. This review systematically summarized the inspiring breakthroughs on rational design and fabrication of the CN framework from elements to monomers, and then to tectonic units via various strategies including elemental doping, defects engineering, tuning the crystalline degree, coordination engineering and molecular doping. Importantly, we summarized general rules between CN framework structure and their performance in various applications to better understand the current state-of-the-art status and plans for future research directions.