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Rosette-shaped graphitic carbon nitride acts as a peroxidase mimic in a wide pH range for fluorescence-based determination of glucose with glucose oxidase

Authors
Heo N.S.Song H.P.Lee S.M.Cho H.-J.Kim H.J.Huh Y.S.Kim M.I.
Issue Date
Apr-2020
Publisher
Springer
Keywords
2D material; Cyanuric acid; Fluorescent bioassay; Glucose determination; Graphitic structure; Hyperglycemia; Melamine; Nanozyme; Peroxidase-like activity
Citation
Microchimica Acta, v.187, no.5
Journal Title
Microchimica Acta
Volume
187
Number
5
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/43547
DOI
10.1007/s00604-020-04249-z
ISSN
0026-3672
Abstract
Rosette-shaped graphitic carbon nitride (rosette-GCN) is described as a promising alternative to natural peroxidase for its application to fluorescence-based glucose assays. Rosette-GCN was synthesized via a rapid reaction between melamine and cyanuric acid for 10 min at 35 °C, followed by thermal calcination for 4 h. Importantly, rosette-GCN possesses a peroxidase-like activity, producing intense fluorescence from the oxidation of Amplex UltraRed in the presence of H2O2 over a broad pH-range of, including neutral pH; the peroxidase activity of rosette-GCN was ~ 10-fold higher than that of conventional bulk-GCN. This enhancement of peroxidase activity is presumed to occur because rosette-GCN has a significantly larger surface area and higher porosity while preserving its unique graphitic structure. Based on the high peroxidase activity of rosette-GCN along with the catalytic action of glucose oxidase (GOx), glucose was reliably determined down to 1.2 μM with a dynamic linear concentration range of 5.0 to 275.0 μM under neutral pH conditions. Practical utility of this strategy was also successfully demonstrated by determining the glucose levels in serum samples. This work highlights the advantages of GCNs synthesized via rapid methods but with unique structures for the preparation of enzyme-mimicking catalysts, thus extending their applications to the diagnostics field and other biotechnological fields. [Figure not available: see fulltext.]. © 2020, Springer-Verlag GmbH Austria, part of Springer Nature.
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