Biomass activated carbon–derived imprinted polymer with multi-boronic acid sites for selective capture of glycoprotein

硼酸 分子印迹聚合物 吸附 聚合物 分子识别 化学 牛血清白蛋白 聚合 分子印迹 选择性吸附 选择性 组合化学 色谱法 生物化学 有机化学 分子 催化作用
作者
Qian Ding,Zhiyang Guo,Wei Chen,Hao Yu,Xixi Zhu,Qingyun Liu,Min Fu
出处
期刊:Journal of Colloid and Interface Science [Elsevier]
卷期号:596: 225-232 被引量:26
标识
DOI:10.1016/j.jcis.2021.03.151
摘要

Glycoproteins play crucial roles in many biological events such as protein folding, information transmission, nerve conduction, and molecular recognition. Some glycoproteins serve as disease biomarkers in clinical settings. However, selective detection of glycoprotein often faces great challenges, owing to its low abundance in complex biological samples. In this case, develop a highly sensitive and selective approach for glycoprotein detection is urgently needed. Molecularly imprinted polymers (MIPs) have proved to be an ideal absorbent material in detection and separation science. Herein, a novel biomass activated carbon–derived imprinted polymer ([email protected]/PBA/MIPs) was fabricated for selective recognition of glycoprotein. The as-prepared [email protected]/PBA/MIPs was synthesized using waste tea derived carbon as matrix, albumin chicken egg (OVA) as template, and dopamine as functional monomer. Branched polyethyleneimine (PEI) was covalently bonded on the BAC surface to increase the number of boronic acid moieties. Benefiting from the self-polymerization of dopamine and multi-boronic acid sites, a great number of recognition sites were presented under mild conditions. The static adsorption experiment showed that the [email protected]/PBA/MIPs exhibited a high binding capacity of 196.2 mg/g, rapid adsorption dynamics of 40 min, excellent selectivity and satisfactory reusability for OVA. Furthermore, the practicability of [email protected]/PBA/MIPs was verified by isolation of OVA from egg white. The good binding performance and facile preparation process make [email protected]/PBA/MIPs attractive for glycoprotein recognition, indicating its potential applications in biomedical research and clinical diagnostics.
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