Literature DB >> 35641392

Covalent Organic Frameworks-Based Membranes as Promising Modalities from Preparation to Separation Applications: An Overview.

Tahir Rasheed1, Sardaraz Khan2, Tauqir Ahmad2, Nisar Ullah2.   

Abstract

Covalent organic frameworks (COFs) are a promising class of porous crystalline materials made up of covalently connected and periodically protracted network topologies through organic linkers. The tailorability of organic linker and intrinsic structures endow COFs with a tunable porosity and structure, low density, facilely-tailored functionality, and large surface area, attracting increasing amount of interests in variety of research areas of membrane separations. COF-based membranes have spawned a slew of new research projects, ranging from fabrication methodologies to separation applications. Herein, we tried to emphasis the major developments in the synthetic approaches of COFs based membranes for a variety of separation applications such as, separation of gaseous mixtures, water treatment as well as separation of isomeric and chiral organic compounds. The proposed methods for fabricating COF-based continuous membranes and columns for real world applications are also thoroughly explored. Finally, a viewpoint on the future directions and remaining challenges for COF research in the area of separation is provided.
© 2022 The Chemical Society of Japan & Wiley-VCH GmbH.

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Keywords:  Chromatographic Separation; Covalent-Organic frameworks; Liquid Phase Separation; Purification, Gas phase separation; Separation membranes

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Year:  2022        PMID: 35641392     DOI: 10.1002/tcr.202200062

Source DB:  PubMed          Journal:  Chem Rec        ISSN: 1528-0691            Impact factor:   6.935


  1 in total

Review 1.  Graphitic carbon nitride nanosheets as promising candidates for the detection of hazardous contaminants of environmental and biological concern in aqueous matrices.

Authors:  Tauqir Ahmad; Sardaraz Khan; Tahir Rasheed; Nisar Ullah
Journal:  Mikrochim Acta       Date:  2022-10-19       Impact factor: 6.408

  1 in total

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