Yang Juan, Huang Lijin, You Jungmok, Yamauchi Yusuke
Key Laboratory for Green Chemical Process of Ministry of Education, Hubei Key Lab of Novel Reactor and Green Chemical Technology, Wuhan Institute of Technology, LiuFang Campus, No. 206, Donghu New & High Technology Development Zone Wuhan, Guanggu 1st Road, Wuhan, Hubei, 430205, P. R. China.
State Key Laboratory of Biogeology and Environmental Geology, Faculty of Materials Science and Chemistry, China University of Geosciences, No. 388 Lumo Road, Hongshan District, Wuhan, 430074, P. R. China.
Small. 2023 Sep;19(37):e2301044. doi: 10.1002/smll.202301044. Epub 2023 May 8.
Covalent organic frameworks (COFs) with high specific surface area, tailored structure, easy functionalization, and excellent chemical stability have been extensively exploited as fantastic materials in various fields. However, in most cases, COFs prepared in powder form suffer from the disadvantages of tedious operation, strong tendency to agglomerate, and poor recyclability, greatly limiting their practical application in environmental remediation. To tackle these issues, the fabrication of magnetic COFs (MCOFs) has attracted tremendous attention. In this review, several reliable strategies for the fabrication of MCOFs are summarized. In addition, the recent application of MCOFs as outstanding adsorbents for the removal of contaminants including toxic metal ions, dyes, pharmaceuticals and personal care products, and other organic pollutants is discussed. Moreover, in-depth discussions regarding the structural parameters affecting the practical potential of MCOFs are highlighted in detail. Finally, the current challenges and future prospects of MCOFs in this field are provided with the expectation to boost their practical application.
具有高比表面积、可定制结构、易于功能化和出色化学稳定性的共价有机框架(COFs)已被广泛用作各个领域的理想材料。然而,在大多数情况下,以粉末形式制备的COFs存在操作繁琐、强烈的团聚倾向和较差的可回收性等缺点,极大地限制了它们在环境修复中的实际应用。为了解决这些问题,磁性COFs(MCOFs)的制备引起了极大关注。在这篇综述中,总结了几种制备MCOFs的可靠策略。此外,还讨论了MCOFs作为出色吸附剂用于去除包括有毒金属离子、染料、药品和个人护理产品以及其他有机污染物在内的污染物的最新应用。此外,还详细重点讨论了影响MCOFs实际潜力的结构参数。最后,阐述了MCOFs在该领域当前面临的挑战和未来前景,以期推动它们的实际应用。