ZnFe2O4/GQDs Nanoparticles as Peroxidase Mimics for Sensitive and Selective Colorimetric Detection of Glucose in Real Samples

Glucose detection is critical in addressing health and medical issues related to irregular blood levels. Colorimetry, a simple, cost-effective, and visually straightforward method, is often employed. Traditional enzymatic detection methods face drawbacks such as high costs, limited stability, and op...

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Published inMicromachines (Basel) Vol. 16; no. 5; p. 520
Main Authors Cirillo, Claudia, Iuliano, Mariagrazia, Sarno, Maria
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 28.04.2025
MDPI
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ISSN2072-666X
2072-666X
DOI10.3390/mi16050520

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Summary:Glucose detection is critical in addressing health and medical issues related to irregular blood levels. Colorimetry, a simple, cost-effective, and visually straightforward method, is often employed. Traditional enzymatic detection methods face drawbacks such as high costs, limited stability, and operational challenges. To overcome these, enzyme mimics or artificial nano-enzymes based on inorganic nanomaterials have garnered attention, but their cost and susceptibility to inactivation limit applications. This study presents a ZnFe2O4/GQDs nanocomposite as an innovative enzyme mimic, addressing key requirements like low cost, high stability, biocompatibility, and wide operational range. Synthesized using a simple and inexpensive method, the composite benefits from the synergistic interaction between ZnFe2O4 nanoparticles and graphene quantum dots (GQDs), resulting in excellent magnetic properties, high surface area, and functional versatility. The material demonstrated remarkable sensitivity with a detection limit of 7.0 μM across a range of 5–500 μM and achieved efficient peroxidase-like activity with Km values of 0.072 and 0.068 mM and Vmax of 4.58 × 10⁻8 and 8.29 × 10⁻8 M/s for TMB and H2O2, respectively. The nanocomposite also exhibited robust recyclability, retaining performance over six reuse cycles.
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These authors contributed equally to this work.
ISSN:2072-666X
2072-666X
DOI:10.3390/mi16050520