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3D graphene/copper oxide nano-flowers based acetylcholinesterase biosensor for sensitive detection of organophosphate pesticides

•AChE-CS/3DG-CuO NFs could greatly amplify the electrochemical signal and provide favorable conditions for the detection of OPs.•This biosensor exhibited a wide linear relationship to malathion ranging from 1 ppt to 15.555 ppb and a low detection limit of 0.31 ppt.•The recovery rates of water sample...

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Bibliographic Details
Published in:Sensors and actuators. B, Chemical Chemical, 2019-01, Vol.279, p.95-101
Main Authors: Bao, Jing, Huang, Ting, Wang, Zhaonan, Yang, Han, Geng, Xintong, Xu, Guoli, Samalo, Mickey, Sakinati, Mina, Huo, Danqun, Hou, Changjun
Format: Article
Language:English
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Summary:•AChE-CS/3DG-CuO NFs could greatly amplify the electrochemical signal and provide favorable conditions for the detection of OPs.•This biosensor exhibited a wide linear relationship to malathion ranging from 1 ppt to 15.555 ppb and a low detection limit of 0.31 ppt.•The recovery rates of water samples were in the range from 94% to 106%, indicating an effective platform for pesticides detection. In the present study, we developed a highly sensitivity electrochemical acetylcholinesterase (AChE, E.C.3.1.1.7) biosensor for organophosphorous pesticides (OPs) detection on the basis of three dimensional graphene-copper oxide nanoflowers nanocomposites (3DG-CuO NFs). The 3DG-CuO NFs nanocomposites with network-like structure not only increase the effective specific surface area, but also provide a favorable microenvironment for AChE loading, which could improve the biosensor performance. The electrochemical performance of the AChE-CS/3DG-CuO NFs/GCE biosensor was thoroughly investigated by cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), amperometry (i–t) and square wave voltammetry (SWV). Under the optimal detection conditions, the AChE-CS/3DG-CuO NFs/GCE biosensor exhibits advantages such as a wide linear relationship to malathion ranging from 1 ppt to 15.555 ppb (3 pM-46.665 nM). The theoretical detection limit was calculated to be 0.31 ppt (0.92 pM) with good selectivity and ideal stability. Most importantly, satisfactory recoveries were achieved in real samples analysis, indicating that our developed biosensor has great potential to be an effective platform for pesticides detection.
ISSN:0925-4005
1873-3077
DOI:10.1016/j.snb.2018.09.118