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Research Article | Open Access

Electrochemical Characterisation of the Redox Couple of Fe(Ⅱ)/Fe(Ⅲ) Mediated by Nano SiO2 Modified GCE Using Cyclic Voltammetry

Muhammed Mizher Radhi1( )Ahmed Ali Moosa2Ishraq Abd-Alkareem Khalaf2
Radiological Techniques Department, Health and Medical Technology College-Baghdad, Middle Technology University, Baghdad, (MTU) Iraq
Technical Engineering College-Baghdad, Middle Technology University, Baghdad, (MTU) Iraq
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Abstract

A new modified working electrode of glassy carbon electrode with nanoparticles of SiO2 (SiO2 nanoparticles/GCE) was prepared by mechanical attachment method. The modified electrode (SiO2 nanoparticles/GCE) was characterised by electrochemical analysis using cyclic voltammetric technique to evaluate this electrode as nano-sensor. A standard solution of 1 mM K4[Fe(CN)6] with 1 M KCl as an electrolyte was used to study the redox current peaks of FeⅡ/FeⅢ ions on the modified electrode at different concentrations, scan rates, pH, determination of diffusion coefficient (Df), reliability and stability of the modified electrode. It was found the new nano-sensor (SiO2 nanoparticles/GCE) had enhancement for the oxidation and reduction current peak of FeⅡ/FeⅢ ions of about 1.29 and 1.58 μA, respectively. The current ration value of the new modified electrode was Ipa /Ipc = 1.7 with the peak separation of ∆Epa-c = 140 mV, which demonstrated that the new modified electrode acted in electrolyte as irreversible and heterogeneous reaction, had low detection limit, and enhanced the redox current peaks in acidic pH with good reliability and stability of nanoparticles on the surface of GCE.

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Nano Biomedicine and Engineering
Pages 10-15
Cite this article:
Radhi MM, Moosa AA, Khalaf IA-A. Electrochemical Characterisation of the Redox Couple of Fe(Ⅱ)/Fe(Ⅲ) Mediated by Nano SiO2 Modified GCE Using Cyclic Voltammetry. Nano Biomedicine and Engineering, 2018, 10(1): 10-15. https://doi.org/10.5101/nbe.v10i1.p10-15

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Received: 04 December 2017
Accepted: 14 January 2018
Published: 13 February 2018
© Meng Yang, Xiao Zhi, Yanlei Liu, Tianliang Li, Gabriel Alfranca, Fangfang Xia, Chenlu Li, Jie Song, and Daxiang Cui.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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