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用于从水中选择性灵敏检测抗生素的共价有机框架材料。

Covalent-Organic Frameworks for Selective and Sensitive Detection of Antibiotics from Water.

作者信息

Hao Ying, Xia Yanjie, Huang Jingjing, Zhong Chenglin, Li Guizhen

机构信息

School of Chemistry and Chemical Engineering, Linyi University, Linyi 276005, China.

出版信息

Polymers (Basel). 2024 Aug 16;16(16):2319. doi: 10.3390/polym16162319.

Abstract

As the consumption of antibiotics rises, they have generated some negative impacts on organisms and the environment because they are often unable to be effectively degraded, and seeking effective detection methods is currently a challenge. Covalent-organic frameworks (COFs) are new types of crystalline porous crystals created based on the strong covalent interactions between blocked monomers, and COFs demonstrate great potential in the detection of antibiotics from aqueous solutions because of their large surface area, adjustable porosity, recyclability, and predictable structure. This review aims to present state-of-the-art insights into COFs (properties, classification, synthesis methods, and functionalization). The key mechanisms for the detection of antibiotics and the application performance of COFs in the detection of antibiotics from water are also discussed, followed by the challenges and opportunities for COFs in future research.

摘要

随着抗生素消费量的增加,由于它们往往无法有效降解,因此对生物体和环境产生了一些负面影响,目前寻求有效的检测方法是一项挑战。共价有机框架(COFs)是基于受阻单体之间的强共价相互作用而创建的新型结晶多孔晶体,由于其表面积大、孔隙率可调节、可回收性和结构可预测性,COFs在从水溶液中检测抗生素方面显示出巨大潜力。本综述旨在介绍有关COFs(性质、分类、合成方法和功能化)的最新见解。还讨论了检测抗生素的关键机制以及COFs在从水中检测抗生素方面的应用性能,随后阐述了COFs在未来研究中面临的挑战和机遇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7189/11359747/3cb469404fa1/polymers-16-02319-g001.jpg

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