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Electrospinning: A Carbonized Gold/Graphene/PAN Nanofiber for High Performance Biosensing

Abstract

In this study, a novel biosensor was produced from a carbonized hybrid gold (Au)/graphene (G) nanowire fabricated upon a disposable screen-printed carbon electrode (SPCE) in order to amplify signals. The processes of carbonization and electrospinning were merged in order to determine dopamine (DA) in a selective and sensitive manner when it is present in uric acid (UA) or ascorbic acid (AA). In order to assess the nature of the surface morphology and the physical product properties, transmission electron microscopy, scanning electron microscopy, and X-ray diffraction were employed prior to and following the carbonization step. The modified electrode (CPAN-Au/G) in [Fe(CN)6]3-/4- and DA was examined using cyclic voltammetry (CV) and differential pulse voltammetry (DPV) in order to establish the electrochemical behavior. The findings from this test revealed that the modified electrode was capable of selectively identifying DA in 0.1 M PBS at pH 7.4 when other substances were present to provide interference. This process did not require the use of an anionic surfactant to serve as the discriminating agent. From analysis of the DPV current, a linear dependence upon DA concentrations became apparent, in the range of 0.001 to 60 μM when the detection limit was 0.8 nM (S/N=3) and sensitivity was 1.4351 μA/cm2. DA quantities in human serum could be effectively detected using the CPAN-Au/G electrode, and the modified electrode raises considerable expectations for application as a high-potential electrode. This would permit the determination of DA in a selective and sensitive manner while achieving sensor stability over the longer term.

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Publication details

The article was accepted on 06 Jan 2018 and first published on 08 Jan 2018


Article type: Paper
DOI: 10.1039/C7AY02880F
Citation: Anal. Methods, 2018, Accepted Manuscript
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    Electrospinning: A Carbonized Gold/Graphene/PAN Nanofiber for High Performance Biosensing

    P. Ekabutr, W. Klinkajon, P. Sangsanoh, O. Chailapakul, P. Niamlang, T. Khampieng and P. Supaphol, Anal. Methods, 2018, Accepted Manuscript , DOI: 10.1039/C7AY02880F

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