A simple and rapid colorimetric sensor for uric acid detection based on ligand-modified silver nanoparticles with oxidase activity

IF 5.3 2区 化学 Q1 CHEMISTRY, ANALYTICAL
DongboYang, Guangda Xu, Jinkun Yan, Lefa Zhao
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引用次数: 0

Abstract

Novel silver nanoparticles modified with 1-methyl-1H-imidazole-2-carbaldehyde (AgNPs@MCA) with superior oxidase-like activity are reported for the first time. AgNPs@MCA directly utilized dissolved oxygen to catalyze the oxidation of the chromogenic substrate 3,3',5,5'-tetramethylbenzidine (TMB), generating blue oxidized TMB (oxTMB). Density functional theory (DFT) calculations were employed to elucidate the role of MCA in the catalytic process. Furthermore, leveraging the ability of uric acid (UA) to scavenge reactive oxygen species (ROS) in the system, a simple and rapid colorimetric method for UA detection was established. Under optimal conditions, the proposed method exhibited a linear range of 20–100 μM and a detection limit (LOD) of 1 μM. The assay demonstrated good selectivity, stability, and reproducibility. Detection results in actual human urine samples aligned with normal physiological levels, validating the potential of this colorimetric sensing approach for biomedical applications.

Graphical Abstract

一种基于氧化酶活性配体修饰银纳米粒子的尿酸检测比色传感器。
本文首次报道了以1-甲基- 1h -咪唑-2-乙醛(AgNPs@MCA)修饰的新型纳米银,具有优异的类氧化酶活性。AgNPs@MCA直接利用溶解氧催化显色底物3,3',5,5'-四甲基联苯胺(TMB)氧化,生成蓝色氧化TMB (oxTMB)。采用密度泛函理论(DFT)计算了MCA在催化过程中的作用。此外,利用尿酸(UA)清除系统中活性氧(ROS)的能力,建立了一种简单快速的UA检测比色法。在最佳条件下,该方法的线性范围为20 ~ 100 μM,检出限为1 μM。该方法具有良好的选择性、稳定性和重复性。实际人类尿液样本的检测结果与正常生理水平一致,验证了这种比色传感方法在生物医学应用中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microchimica Acta
Microchimica Acta 化学-分析化学
CiteScore
9.80
自引率
5.30%
发文量
410
审稿时长
2.7 months
期刊介绍: As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.
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