Issue 6, 2019

Electrochemical sensor based on a three dimensional nanostructured MoS2 nanosphere-PANI/reduced graphene oxide composite for simultaneous detection of ascorbic acid, dopamine, and uric acid

Abstract

A three dimensional (3D) nanostructured composite based on the self-assembly of MoS2 nanospheres and polyaniline (PANI) loaded on reduced graphene oxide (denoted by 3D MoS2-PANI/rGO) was prepared via a feasible one-pot hydrothermal process. The 3D MoS2-PANI/rGO nanocomposite not only exhibits good functionality and bioaffinity but also displays high electrochemical catalytic activity. As such, the developed 3D MoS2-PANI/rGO nanocomposite can be employed as the sensing platform for simultaneously detecting small biomolecules, i.e., ascorbic acid (AA), dopamine (DA), and uric acid (UA). The peak currents obtained from the differential pulse voltammetry (DPV) measurements depended linearly on the concentrations in the wide range from 50 μM to 8.0 mM, 5.0 to 500 μM, and 1.0 to 500 μM, giving low detection limits of 22.20, 0.70, and 0.36 μM for AA, DA, and UA, respectively. Furthermore, the 3D MoS2-PANI/rGO-based electrochemical sensor also exhibited high selectivity, good reproducibility and stability toward small molecule detection. The present sensing strategy based on 3D MoS2-PANI/rGO suggests a good reliability in the trace determination of electroactive biomolecules.

Graphical abstract: Electrochemical sensor based on a three dimensional nanostructured MoS2 nanosphere-PANI/reduced graphene oxide composite for simultaneous detection of ascorbic acid, dopamine, and uric acid

Supplementary files

Article information

Article type
Paper
Submitted
19 noy 2018
Accepted
15 yan 2019
First published
23 yan 2019
This article is Open Access
Creative Commons BY license

RSC Adv., 2019,9, 2997-3003

Electrochemical sensor based on a three dimensional nanostructured MoS2 nanosphere-PANI/reduced graphene oxide composite for simultaneous detection of ascorbic acid, dopamine, and uric acid

S. Li, Y. Ma, Y. Liu, G. Xin, M. Wang, Z. Zhang and Z. Liu, RSC Adv., 2019, 9, 2997 DOI: 10.1039/C8RA09511F

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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