Facile Synthesis of Iron and Nitrogen Co-Doped Carbon Dot Nanozyme as Highly Efficient Peroxidase Mimics for Visualized Detection of Metabolites

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Abstract

Visual detection based on nanozymes has great potential for the rapid detection of metabolites in clinical analysis or home-based health management. In this work, iron and nitrogen co-doped carbon dots (Fe,N-CDs) were conveniently synthesized as a nanozyme for the visual detection of glucose (Glu) or cholesterol (Chol). Using inexpensive and readily available precursors, Fe,N-CDs with peroxidase-like activity were conveniently prepared through a simple hydrothermal method. Co-doping of Fe and N atoms enhanced the catalytic activity of the nanozyme. The nanozyme had a low Michaelis constant (Km) of 0.23 mM when hydrogen peroxide (H2O2) was used as the substrate. Free radical trapping experiments revealed that the reactive oxygen species (ROS) generated in the nanozyme-catalyzed process were superoxide anion radicals (•O2−), which can oxidize colorless 3,3′,5,5′-tetramethylbenzidine (TMB) to generate blue oxidation product (ox-TMB) with characteristics absorbance at 652 nm. Based on this mechanism, a colorimetric sensor was constructed to detect H2O2 ranging from 0.1 μM to 200 μM with a detection limit (DL) of 75 nM. In the presence of glucose oxidase (Gox) or Chol oxidase (Chox), Glu or Chol was oxidized, respectively, and generated H2O2. Based on this, indirect detection of Glu and Chol was realized with linear detection ranges of 5–160 μM and 2–200 μM and DLs of 2.8 μM and 0.8 μM, respectively. A paper-based visual detection platform was fabricated using Fe,N-CDs as nanozyme ink to prepare testing paper by inkjet printing. Using a smartphone to record the RGB values of the testing paper after the reaction, visual detection of Glu and Chol can be achieved with linear detection ranges of 5–160 μM (DL of 3.3 μM) and 2–200 μM (DL of 1.0 μM), respectively.

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Xu, S., Zhang, S., Li, Y., & Liu, J. (2023). Facile Synthesis of Iron and Nitrogen Co-Doped Carbon Dot Nanozyme as Highly Efficient Peroxidase Mimics for Visualized Detection of Metabolites. Molecules, 28(16). https://doi.org/10.3390/molecules28166064

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