A novel morphology of 3D graphene hydrogel nanotubes for high-performance nonenzymatic hydrogen peroxide sensor

Abstract

A novel nanostructure of three-dimensional graphene hydrogel nanotubes (3DGHNTs) is successfully synthesized for the purpose of sensing non-enzymatic H2O2 in alkaline solution. The 3DGHNTs were fabricated using manganese dioxide nanotubes (MnO2 NTs) as the effective sacrificial template and without the use of any acids or a high temperature process. 3DGH with different percentages of MnO2 NTs ranging from 5 to 30% are prepared via a hydrothermal method. When the loading percentage of MnO2 NTs is 10%, the obtained 3DGHNTs-Mn10 nanocomposite exhibits a large specific surface area with high porosity, which enhance the electrochemical properties for H2O2 detection. The developed biosensor exhibits excellent sensitivity (220.4μAmM−1cm−2) with a wide linear detection range (25μM–22.57mM) and a low detection limit (4μM). The biosensor also shows a fast response time (less than 5s) and good selectivity as well as reproducibility and long-term stability. Hence, the prepared 3DGHNTs-Mn10 nanocomposite can be considered a promising electrode material for the detection of H2O2 in real sample.