Issue 18, 2019

A novel acetylcholinesterase biosensor based on gold nanoparticles obtained by electroless plating on three-dimensional graphene for detecting organophosphorus pesticides in water and vegetable samples

Abstract

In this study, a novel acetylcholinesterase (AChE) biosensor for the detection of organophosphorus pesticides (OPs) was developed based on a film of gold nanoparticles/three-dimensional graphene (AuNPs/rGO). This AuNPs/rGO film was prepared by the electroless plating of AuNPs on 3D graphene. The modified electrode displayed excellent electron-transfer mediation and electrical conductivity because of the synergistic effect of AuNPs and rGO. In addition, the AChE biosensor exhibited a good linear relationship at concentrations ranging from 1.0 × 10−10 to 1.0 × 10−6 g L−1. Under optimum conditions, the results showed high sensitivity of the derived biosensor for monitoring malathion and methyl parathion in water down to detection limits of 2.78 × 10−11 g L−1 and 2.17 × 10−11 g L−1, respectively. The biosensor also revealed satisfactory stability, operational repeatability and good reproducibility. When detecting methyl parathion in real water and vegetable samples, the recoveries for the AChE biosensor ranged from 94–106%, indicating that this had excellent potential for practical application. These results demonstrated that the developed electrochemical sensor shows promise as a sensing platform for OP analysis.

Graphical abstract: A novel acetylcholinesterase biosensor based on gold nanoparticles obtained by electroless plating on three-dimensional graphene for detecting organophosphorus pesticides in water and vegetable samples

Article information

Article type
Paper
Submitted
18 Mar 2019
Accepted
02 Apr 2019
First published
03 Apr 2019

Anal. Methods, 2019,11, 2428-2434

A novel acetylcholinesterase biosensor based on gold nanoparticles obtained by electroless plating on three-dimensional graphene for detecting organophosphorus pesticides in water and vegetable samples

P. Dong, B. Jiang and J. Zheng, Anal. Methods, 2019, 11, 2428 DOI: 10.1039/C9AY00549H

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