Literature DB >> 30359485

Covalent Organic Frameworks with Chirality Enriched by Biomolecules for Efficient Chiral Separation.

Sainan Zhang1,2, Yunlong Zheng1,2, Hongde An1,2, Briana Aguila3, Cheng-Xiong Yang4, Yueyue Dong4, Wei Xie4, Peng Cheng4, Zhenjie Zhang1,4, Yao Chen1,2, Shengqian Ma3.   

Abstract

The separation of racemic compounds is important in many fields, such as pharmacology and biology. Taking advantage of the intrinsically strong chiral environment and specific interactions featured by biomolecules, here we contribute a general strategy is developed to enrich chirality into covalent organic frameworks (COFs) by covalently immobilizing a series of biomolecules (amino acids, peptides, enzymes) into achiral COFs. Inheriting the strong chirality and specific interactions from the immobilized biomolecules, the afforded biomolecules⊂COFs serve as versatile and highly efficient chiral stationary phases towards various racemates in both normal and reverse phase of high-performance liquid chromatography (HPLC). The different interactions between enzyme secondary structure and racemates were revealed by surface-enhanced Raman scattering studies, accounting for the observed chiral separation capacity of enzymes⊂COFs.
© 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  biomolecules; chiral separation; chiral stationary phases; chirality; covalent organic frameworks

Mesh:

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Year:  2018        PMID: 30359485     DOI: 10.1002/anie.201810571

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  9 in total

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6.  Room-temperature preparation of a chiral covalent organic framework for the selective adsorption of amino acid enantiomers.

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Review 8.  Challenges and opportunities for chiral covalent organic frameworks.

Authors:  Xing Kang; Emily R Stephens; Benjamin M Spector-Watts; Ziping Li; Yan Liu; Lujia Liu; Yong Cui
Journal:  Chem Sci       Date:  2022-07-20       Impact factor: 9.969

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Journal:  Nat Commun       Date:  2022-10-01       Impact factor: 17.694

  9 in total

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