Mesoporous covalent organic framework microspheres with dual-phase separation strategy for high-purity glycopeptide enrichment

化学 介孔材料 微球 色谱法 共价有机骨架 共价键 糖肽 相(物质) 对偶(语法数字) 固定相 化学工程 有机化学 生物化学 催化作用 艺术 工程类 抗生素 文学类
作者
Shengdong Ba,Bin Luo,Zhiyu Li,Jia He,Fang Lan,Yao Wu
出处
期刊:Journal of Chromatography A [Elsevier BV]
卷期号:1684: 463575-463575 被引量:11
标识
DOI:10.1016/j.chroma.2022.463575
摘要

High-performance porous materials and rational enrichment strategies are crucial during sample pretreatment process in glycoproteomics analysis. Herein, we report a dual-phase separation strategy based on hydrophobic and hydrophilic mesoporous covalent-organic framework (COF) microspheres for high-purity glycopeptide enrichment for the first time. The COF microspheres (about 1.8±0.5 μm) with hydrophobic mesopores (2.5 nm) were prepared by a facile method at room temperature. Through the post-synthesis modification strategy, hydrophilic mesopores were obtained by modifying the vinyl ligands with glutathione (GSH), and the hydrophilic properties of COF microspheres were further enhanced by the introduction of Au nanoparticles and GSH to obtain the hydrophilic COF microspheres (denoted as [email protected]). The low-abundance hydrophilic glycopeptides could be efficiently enriched by the hydrophilic [email protected] microspheres in low polar solutions after the high-abundance hydrophobic non-glycopeptides were removed with the hydrophobic COF microspheres in high polar solutions. With the help of dual-phase separation strategy and inherent properties of the COF structure, the as-prepared COF microspheres showed splendid enrichment performance for glycopeptides, including ultrahigh sensitivity (2 fmol, IgG digests), extremely high specificity (1:10000, IgG digests/BSA digests), excellent size selectivity (1:500:500, IgG digests/BSA/IgG), and large binding capacity (200 mg g−1, IgG digests). In addition, a total of 1993 glycopeptides could be enriched and identified from the rat liver digests after enrichment by the COF microspheres. As a proof of concept application, the proposed strategy was successfully used in sample pretreatment process for plasma glycoproteomic analysis.
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