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Issue 26, 2016
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Studies on electrochemical organophosphate pesticide (OP) biosensor design based on ionic liquid functionalized graphene and a Co3O4 nanoparticle modified electrode

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Abstract

In this study, a new type of organophosphate pesticide (OP) biosensor was successfully fabricated based on the immobilization of acetylcholinesterase (AChE) by cross-linking on a glassy carbon electrode (GCE) modified with ionic liquid functionalized graphene (IL-GR), Co3O4 nanoparticles and chitosan (CHI). The introduction of IL-GR and Co3O4 nanoparticles not only enhanced the surface area of the modified electrode for enzyme immobilization but also facilitated the electron transfer, resulting in a high sensitivity of the biosensor. The fabrication process of the sensing surface was characterized by cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). For the oxidation of thiocholine, a hydrolysis product of acetylthiocholine, the peak current at the AChE/IL-GR/Co3O4/CHI/GCE electrode is larger than those at AChE/IL-GR/CHI/GCE and AChE/Co3O4/CHI/GCE electrodes. A linear relationship between the inhibition percentage (I%) and logarithm of the concentration of dimethoate was found in the range from 5.0 × 10−12 to 1.0 × 10−7 M, with a detection limit of 1.0 × 10−13 M (S/N = 3). The proposed biosensor provided an efficient and promising platform for the immobilization of AChE and exhibited higher sensitivity and acceptable stability for the detection of organophosphate pesticides.

Graphical abstract: Studies on electrochemical organophosphate pesticide (OP) biosensor design based on ionic liquid functionalized graphene and a Co3O4 nanoparticle modified electrode

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Article information


Submitted
10 May 2016
Accepted
06 Jun 2016
First published
07 Jun 2016

Anal. Methods, 2016,8, 5288-5295
Article type
Paper

Studies on electrochemical organophosphate pesticide (OP) biosensor design based on ionic liquid functionalized graphene and a Co3O4 nanoparticle modified electrode

Y. Zheng, Z. Liu, H. Zhan, J. Li and C. Zhang, Anal. Methods, 2016, 8, 5288
DOI: 10.1039/C6AY01346E

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