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基于金纳米粒子和卟啉基金属有机骨架复合材料的无酶串联反应策略用于表面增强拉曼散射检测葡萄糖。

Enzyme-Free Tandem Reaction Strategy for Surface-Enhanced Raman Scattering Detection of Glucose by Using the Composite of Au Nanoparticles and Porphyrin-Based Metal-Organic Framework.

机构信息

The Education Ministry Key Lab of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Municipal Education Committee Key Laboratory of Molecular Imaging Probes and Sensors and Department of Chemistry, Shanghai Normal University, Shanghai 200234, China.

出版信息

ACS Appl Mater Interfaces. 2020 Dec 9;12(49):55324-55330. doi: 10.1021/acsami.0c12988. Epub 2020 Nov 23.

Abstract

In this work, an S hybrid nanosheet with multiple functions is synthesized by modification of gold nanoparticles (AuNPs) onto two-dimensional (2D) metalloporphyrinic metal-organic framework (MOF) (Cu-tetra(4-carboxyphenyl)porphyrin chloride(Fe(III)), designated as AuNPs/Cu-TCPP(Fe). Cu-TCPP(Fe) nanosheets contribute peroxidase-like activity, and AuNPs have glucose oxidase (GOx) mimicking performance, which induce the cascade catalysis reactions to convert glucose into hydrogen peroxide (HO), and then, by using AuNP catalysis, HO oxidizes the no Raman-active leucomalachite green (LMG) into the Raman-active malachite green (MG). Simultaneously, in the presence of AuNPs, sensitive and selective surface-enhanced Raman scattering (SERS) determination of glucose can be achieved. The bioenzyme-free SERS assay based on such AuNPs/Cu-TCPP(Fe) nanosheets is used for detection of glucose in saliva, showing good recovery from 96.9 to 100.8%. The work paves a new way to design a nanozyme-based SERS protocol for biomolecule analysis.

摘要

在这项工作中,通过将金纳米粒子 (AuNPs) 修饰到二维 (2D) 金属卟啉金属-有机骨架 (MOF)(Cu-四(4-羧基苯基)卟啉氯化物(Fe(III))上,合成了具有多种功能的 S 杂化纳米片,命名为 AuNPs/Cu-TCPP(Fe)。Cu-TCPP(Fe)纳米片具有过氧化物酶样活性,而 AuNPs 具有葡萄糖氧化酶 (GOx) 的模拟性能,这引发了级联催化反应,将葡萄糖转化为过氧化氢 (HO),然后,通过 AuNP 催化,HO 将无拉曼活性的隐色孔雀绿 (LMG) 氧化为拉曼活性的孔雀绿 (MG)。同时,在 AuNPs 的存在下,可以实现对葡萄糖的灵敏和选择性表面增强拉曼散射 (SERS) 测定。基于这种 AuNPs/Cu-TCPP(Fe)纳米片的无生物酶 SERS 测定法用于检测唾液中的葡萄糖,回收率从 96.9%到 100.8%不等。这项工作为基于纳米酶的 SERS 生物分子分析方案的设计开辟了一条新途径。

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