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载银纳米粒子的共价有机框架作为稳健的模拟氧化酶用于血液中汞的高灵敏和选择性比色检测。

Covalent organic framework-loaded silver nanoparticles as robust mimetic oxidase for highly sensitive and selective colorimetric detection of mercury in blood.

机构信息

Huzhou Key Laboratory of Medical and Environmental Applications Technologies, School of Life Sciences, Huzhou University, Huzhou City, Zhejiang Province 313000, P. R. China.

College of Chemistry and Chemical Engineering, Qufu Normal University, Qufu, Shandong 273165, P. R. China.

出版信息

J Mater Chem B. 2022 Dec 14;10(48):10075-10082. doi: 10.1039/d2tb01887j.

DOI:10.1039/d2tb01887j
PMID:36458484
Abstract

Covalent organic frameworks (COFs) were fabricated with a hierarchical flower-like hollow structure, possessing a large specific surface area, high porosity, and excellent environmental stability. growth of noble silver nanoparticles (AgNPs) onto COFs was conducted yielding COF-Ag nanozymes. The structural advantages of COFs can ensure the uniform dispersion and effective size control of AgNPs. More interestingly, the oxidase-like catalytic activity of the obtained COF-Ag nanozymes could be enhanced in the presence of Hg ions, which could specifically interact with AgNPs to form Ag-Hg alloys. A COF-Ag catalysis-based colorimetric platform was thereby constructed for highly selective and sensitive analysis of Hg ions, showing a linear concentration range from 0.050 to 10.0 μM, with a limit of detection of about 3.7 nM. Besides, the developed colorimetric strategy was successfully applied for detecting Hg ions in human blood with favorable detection recoveries, indicating its potential for applications in the biomedical analysis, environmental monitoring, and food safety fields.

摘要

共价有机框架(COFs)被构建成具有分级花状中空结构,具有大的比表面积、高孔隙率和优异的环境稳定性。在 COFs 上生长贵金属银纳米粒子(AgNPs),得到 COF-Ag 纳米酶。COFs 的结构优势可以确保 AgNPs 的均匀分散和有效尺寸控制。更有趣的是,所得到的 COF-Ag 纳米酶的氧化酶样催化活性可以在汞离子的存在下增强,汞离子可以与 AgNPs 特异性相互作用形成 Ag-Hg 合金。因此,构建了基于 COF-Ag 催化的比色分析平台,用于高选择性和灵敏地分析 Hg 离子,其线性浓度范围为 0.050 至 10.0 μM,检测限约为 3.7 nM。此外,该发展的比色策略成功地应用于检测人血液中的 Hg 离子,具有良好的检测回收率,表明其在生物医学分析、环境监测和食品安全领域的应用潜力。

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