Suppr超能文献

多孔芳香框架材料(PAFs)。

Porous Aromatic Frameworks (PAFs).

作者信息

Tian Yuyang, Zhu Guangshan

机构信息

Key Laboratory of Polyoxometalate Science of the Ministry of Education and Faculty of Chemistry, Northeast Normal University, Changchun, 130024, P. R. China.

出版信息

Chem Rev. 2020 Aug 26;120(16):8934-8986. doi: 10.1021/acs.chemrev.9b00687. Epub 2020 Feb 26.

Abstract

Porous aromatic frameworks (PAFs) represent an important category of porous solids. PAFs possess rigid frameworks and exceptionally high surface areas, and, uniquely, they are constructed from carbon-carbon-bond-linked aromatic-based building units. Various functionalities can either originate from the intrinsic chemistry of their building units or are achieved by postmodification of the aromatic motifs using established reactions. Specially, the strong carbon-carbon bonding renders PAFs stable under harsh chemical treatments. Therefore, PAFs exhibit specificity in their chemistry and functionalities compared with conventional porous materials such as zeolites and metal organic frameworks. The unique features of PAFs render them being tolerant of severe environments and readily functionalized by harsh chemical treatments. The research field of PAFs has experienced rapid expansion over the past decade, and it is necessary to provide a comprehensive guide to the essential development of the field at this stage. Regarding research into PAFs, the synthesis, functionalization, and applications are the three most important topics. In this thematic review, the three topics are comprehensively explained and aptly exemplified to shed light on developments in the field. Current questions and a perspective outlook will be summarized.

摘要

多孔芳香框架材料(PAFs)是一类重要的多孔固体材料。PAFs具有刚性框架结构和极高的比表面积,其独特之处在于由碳 - 碳键连接的芳香族构建单元构成。各种功能基团既可以源自其构建单元的固有化学性质,也可以通过利用已有的反应对芳香族结构单元进行后修饰来实现。特别地,强碳 - 碳键使PAFs在苛刻的化学处理条件下仍保持稳定。因此,与传统的多孔材料如沸石和金属有机框架相比,PAFs在化学性质和功能上表现出特异性。PAFs的独特特性使其能够耐受恶劣环境,并易于通过苛刻的化学处理进行功能化修饰。在过去十年中,PAFs的研究领域经历了快速发展,现阶段有必要对该领域的重要进展提供全面的指导。关于PAFs的研究,合成、功能化和应用是三个最重要的主题。在这篇专题综述中,将对这三个主题进行全面解释并恰当举例,以阐明该领域的发展情况。同时将总结当前存在的问题并展望未来前景。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验