Suppr超能文献

用于光催化的金属有机框架复合材料的最新进展。

Recent advances in MOF composites for photocatalysis.

作者信息

Zhang Chenxi, Wu Yanhong, Li Dandan, Jiang Hai-Long

机构信息

Academy of Interdisciplinary Studies on Intelligent Molecules, Tianjin Key Laboratory of Structure and Performance for Functional Molecules, College of Chemistry, Tianjin Normal University Tianjin 300387 P. R. China.

Institutes of Physical Science and Information Technology, Key Laboratory of Structure and Functional Regulation of Hybrid Materials, Ministry of Education, Anhui University Hefei Anhui 230601 P. R. China

出版信息

Chem Sci. 2025 Jun 27. doi: 10.1039/d5sc03065j.

Abstract

Metal-organic frameworks (MOFs), characterized by their tunable porosity, high surface area, and structural diversity, have emerged as promising materials for photocatalysis. To address inherent limitations of pristine MOFs such as restricted light absorption, rapid charge recombination, and insufficient active sites, MOF composites have emerged and been widely applied in photocatalysis. This review focuses on the classifications of MOF composites, emphasizing component selection and synergistic effect. Then recent environmental and energy-related photocatalytic applications are systematically discussed, including contaminant degradation, water splitting, CO reduction, and N fixation. Finally, the further trends and challenges of MOF composites for photocatalysis are proposed. We hope that this review can provide a forward-looking perspective on MOF composites as next-generation photocatalysts and offer actionable strategies to promote the resolution of energy crisis and environmental pollution.

摘要

金属有机框架材料(MOFs)以其可调节的孔隙率、高比表面积和结构多样性为特征,已成为光催化领域颇具潜力的材料。为解决原始MOFs的固有局限性,如光吸收受限、电荷快速复合以及活性位点不足等问题,MOF复合材料应运而生并在光催化中得到广泛应用。本文综述聚焦于MOF复合材料的分类,着重阐述了组分选择和协同效应。随后系统讨论了其在环境与能源相关的近期光催化应用,包括污染物降解、水分解、CO还原及N固定。最后,提出了MOF复合材料在光催化方面的进一步发展趋势和挑战。我们希望这篇综述能够为MOF复合材料作为下一代光催化剂提供前瞻性视角,并提供可行策略以推动能源危机和环境污染问题的解决。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf13/12284924/d0701e260e30/d5sc03065j-f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验