<p> Novel silver nanoparticles modified with 1-methyl-1H-imidazole-2-carbaldehyde (AgNPs@MCA) with superior oxidase-like activity are reported&#xa0;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&#xa0;μM and a detection limit (LOD) of 1&#xa0;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.</p> Graphical Abstract <p></p>

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

  • DongboYang,
  • Guangda Xu,
  • Jinkun Yan,
  • Lefa Zhao

摘要

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