Published March 31, 2017 | Version v1
Journal article

A new protocol for the distribution of MnO2 nanoparticles on rGO sheets and the resulting electrochemical performance

  • 1. Department of BIN Convergence Technology, Chonbuk National University, Jeonju, Jeonbuk, 561-756 (Korea, Republic of)
  • 2. Center for Carbon Composites Materials, Department of Polymer & Nano Science and Technology, Chonbuk National University, Jeonju, Jeonbuk, 561-756 (Korea, Republic of)

Description

Highlights: • The role of KMnO4 for the deposition of MnO2 on rGO was studied. • The as-synthesized rGM-1 shows good stability and a high specific capacitance value (366 F/g). • rGM-1 effectively detects dopamine with a detection limit of 2.3 × 10−7 M. - Abstract: Herein, reduced graphene oxide (rGO)/MnO2 hybrid materials were prepared via a direct redox reaction between MnCl2 and KMnO4 on reduced graphene oxide (rGO). A systematic study was carried out to understand the role of KMnO4. The morphology and microstructure of the as-prepared composite was characterized using field-emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), X-ray diffraction (XRD) and Raman Spectroscopy. Results indicate that the concentrations of KMnO4 have a detrimental effect on the distribution of MnO2 nanoparticles on rGO sheets and hence on electrochemical properties. The electrochemical capacitive behavior of the as-prepared composite was investigated using cyclic voltammetry (CV), galvanostatic charge discharge, and electrochemical impedance spectroscopy (EIS) in 1 M Na2SO4 aqueous electrolyte solution. At the optimum concentration of KMnO4, the as-prepared rGM-1 composite shows a high specific capacitance of 366 F/g at a scan rate of 10 mV/s. The composite also exhibits good electrocatalytic activity towards the oxidation of dopamine (DA), exhibiting a low detection limit of 2.3 × 10−7 M with a wide linear range between 2.5 × 10−7 M and 2.30 × 10−4 M. Hence, the use of rGO/MnO2 at an optimized concentration of KMnO4 is a potential competitive candidate in supercapacitor and biosensor applications.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.apsusc.2016.12.086

Additional details

Identifiers

DOI
10.1016/j.apsusc.2016.12.086;
PII
S0169-4332(16)32801-X;

Publishing Information

Journal Title
Applied Surface Science
Journal Volume
399
Journal Page Range
p. 95-105
ISSN
0169-4332
CODEN
ASUSEE

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.