Issue 30, 2017

Self-assembling covalent organic framework functionalized magnetic graphene hydrophilic biocomposites as an ultrasensitive matrix for N-linked glycopeptide recognition

Abstract

The development of additional functions and applications of covalent organic framework (COF)-derived materials still remains highly desired. In our work, a novel COF-functionalized magnetic graphene biocomposite (MagG@COF-5) was first developed as an ultrasensitive hydrophilic matrix via a facile self-assembly method for efficiently recognizing N-linked glycopeptides. By integrating the characteristics of the magnetic graphene and COF-5 layer, the MagG@COF-5 owns features of an outstanding magnetic response, a high specific area, strong hydrophilic properties and a unique size-exclusion effect. Accordingly, the MagG@COF-5 biocomposite showed excellent performance in N-linked glycopeptide analysis with a low detection limit (0.5 fmol μL−1), an excellent size-exclusion effect (HRP digests/BSA, 1 : 600), good recyclability and reusability. More excitingly, the practical applicability of the biocomposite was evaluated by treatment with human serum (1 μL), in which 232 N-linked glycopeptides from 85 glycoproteins were detected. All the results demonstrate that the as-synthesized MagG@COF-5 biocomposite has huge potential for use in glycoproteome and clinical diagnosis fields. It will also open up new phases for application of COF-based materials.

Graphical abstract: Self-assembling covalent organic framework functionalized magnetic graphene hydrophilic biocomposites as an ultrasensitive matrix for N-linked glycopeptide recognition

Supplementary files

Article information

Article type
Paper
Submitted
25 Apr 2017
Accepted
25 Jun 2017
First published
26 Jun 2017

Nanoscale, 2017,9, 10750-10756

Self-assembling covalent organic framework functionalized magnetic graphene hydrophilic biocomposites as an ultrasensitive matrix for N-linked glycopeptide recognition

J. Wang, J. Li, M. Gao and X. Zhang, Nanoscale, 2017, 9, 10750 DOI: 10.1039/C7NR02932B

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