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A strategy to prepare robust enzyme@covalent organic framework microcapsules: a new platform for biosensing

生物传感器 纳米技术 共价键 固定化酶 材料科学 金属有机骨架 化学 有机化学 吸附
作者
Ying Ding,Jianming Liu,Longsheng Pei,Yuan Li,Yulong Duan,Yonghai Song,L. Miao,Limin Liu,Li Wang
出处
期刊:Bioactive Materials [Elsevier BV]
卷期号:52: 623-633 被引量:5
标识
DOI:10.1016/j.bioactmat.2025.06.026
摘要

Enzyme biosensors, despite their high specificity and sensitivity, are constrained by the inherent fragility of enzymes. Despite being considered ideal for enzyme protection by in-situ covalent organic frameworks (COFs) immobilization, the harsh conditions of COFs synthesis often lead to enzyme inactivation. Herein, a strategy was developed to prepare robust enzyme@COFs microcapsules (enzyme@MCCOFs) by the interfacial assembly of hydrophobic COFs spheres to form stable Pickering emulsions, followed by COFs regrowth to reinforce the microcapsules. Compared with conventional methods, this approach confines the enzymes in a mild environment, achievig an impressive encapsulation efficiency of 85.9 %. Enzymes are protected from inhospitable conditions by the mechanical robustness of microcapsules COFs shell which also features adjustable pores to enhance substrate transport and exhibit size selectivity. The success of strategy was verified by the construction of enzyme@MCCOFs based on various hydrophobic COFs spheres (water contact angle>90°) with different pore sizes and degrees of functionalization, and they can be pre-modified to meet specific application requirements. The strategy is simple yet effective. COFs employed in this strategy only requires a slight degree of hydrophobicity, rather than specific functional groups. In addition, a formula was also proposed to predict and control the size of the enzyme@MCCOFs accurately. A cascade catalytic system based on enzyme@MCCOFs has been emulated for the construction of a colorimetric and electrochemical glucose biosensing platform. This study provides new insight into the construction of enzyme@MCCOFs and their biosensing applications.
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