Abstract
Abstract In this paper, an amperometric acetylcholinesterase (AChE) biosensor for quantitative determination of carbaryl was developed. Firstly, the poly (diallyldimethy-lammonium chloride) -multi-walled carbon nanotubes-graphene hybrid film was modified onto the glassy carbon electrode (GCE) surface, then AChE was immobilized onto the modified GCE to fabricate the AChE biosensor. The morphologies and electrochemistry properties of the prepared AChE biosensor were investigated by using scanning electron microscopy, cyclic voltammetry and electrochemical impedance spectroscopy. All variables involved in the preparation process and analytical performance of the biosensor were optimized. Based on the inhibition of pesticides on the AChE activity, using carbaryl as model compounds, the biosensor exhibited low detection limit, good reproducibility and high stability in a wide range. Moreover, the biosensor can also be used for direct analysis of practical samples, which would provide a new promising tool for pesticide residues analysis.
Highlights
Carbaryl, one of the carbamate pesticides, has been widely used in agriculture because of its high effectiveness for insect control [1,2]
The AChE/PDDA-multi-walled carbon nanotubes (MWCNTs)-GR/glassy carbon electrode (GCE) biosensor was employed for the determination of carbaryl using differential pulse voltammetry (DPV) method
The morphologies of only MWCNTs and GR film together with PDDA-MWCNTs-GR hybrid film were characterized with scanning electron microscope (SEM)
Summary
One of the carbamate pesticides, has been widely used in agriculture because of its high effectiveness for insect control [1,2]. Long-term accumulations in environment, carbaryl will present a serious risk to human health due to its high toxicity to acetylcholinesterase, a key enzyme for the function of the central nervous system in humans [3,4,5,6,7]. Traditional analytical methods, such as liquid chromatographic [8,9], gas chromatography [10] and high performance liquid chromatography (HPLC) [11] are rationally selective and have low limits of detection. The development of efficient, sensitive and simple analytical method for the determination of pesticide residues in food has become increasingly important
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