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The synergistic effect between graphene oxide nanocolloids and silicon dioxide nanoparticles for gallic acid sensing

For the first time, the synergistic effect of graphene oxide nanocolloids (nano-GO) and silicon dioxide (silica) nanoparticles (SiO 2 -nanoparicles) has been used to modify a glassy carbon electrode (GCE) for the determination of gallic acid (GA). The modified electrode surface was characterised by...

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Bibliographic Details
Published in:Journal of solid state electrochemistry 2019-06, Vol.23 (6), p.1795-1809
Main Authors: Chikere, Chrys O., Faisal, Nadimul Haque, Kong Thoo Lin, Paul, Fernandez, Carlos
Format: Article
Language:English
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Summary:For the first time, the synergistic effect of graphene oxide nanocolloids (nano-GO) and silicon dioxide (silica) nanoparticles (SiO 2 -nanoparicles) has been used to modify a glassy carbon electrode (GCE) for the determination of gallic acid (GA). The modified electrode surface was characterised by using scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDXA) and Fourier transform infrared spectroscopy (FTIR). The electrochemical behaviour of the modified electrode was then studied, using cyclic voltammetry (CV) and differential pulse voltammetry (DPV), showing that the electrode was sensitive to GA in a concentration range of 6.25 × 10 −6 to 1.0 × 10 −3 mol L −1 , with a correlation coefficient R 2 of 0.9956 and a limit of detection of 2.09 × 10 −6 mol L −1 (S/N = 3). The proposed method was successfully used for the determination of GA in red wine, white wine and orange juice, with recoveries of 102.3, 95.4 and 97.6%, respectively. Graphical abstract GRAPHICAL ABSTRACT small text inside the artwork. Please do not re-use the file that we have rejected or attempt to increase its resolution and re-save. It is originally poor, therefore, increasing the resolution will not solve the quality problem. We suggest that you provide us the original format. We prefer replacement figures containing vector/editable objects rather than embedded images. Preferred file formats are eps, ai, tiff and pdf.We have uploaded an updated graphical abstract in a PDF format
ISSN:1432-8488
1433-0768
DOI:10.1007/s10008-019-04267-9