Title :
Pesticide residues rapid detection in vegetables real samples based on nanomaterial-modified acetylcholinesterase biosensor
Author :
Xia Sun ; Lu Qiao ; Xiaoxu Sun ; Xiangyou Wang
Author_Institution :
Sch. of Agric. & Food Eng., Shandong Univ. of Technol., Zibo, China
Abstract :
In this reported work, an acetylcholinesterase (AChE) biosensor based on chitosan-Prussian blue-multiwall carbon nanotubes-hollow gold nanospheres (Chit-PB-MWNTs-HGNs) film was used for detecting pesticide residues in vegetable samples. Three different kinds of sample extraction methods were investigated, such as the oscillation extraction method, the ultrasonication and the centrifugation extraction method and the ultrasonication and filtration extraction method. By comparison, the ultrasonication and centrifugation extraction method was the most appropriate and efficient for the AChE biosensor. After treatment by ultrasonication and centrifugation extraction, the recoveries of the pesticides from vegetable samples were from 76.8 to 105.9% with relative standard deviation lower than 12.68%. Subsequently, the detection results with the AChE biosensor were compared with the standard gas chromatography method. The results indicated that the proposed sample pretreatment method was applicable to the AChE biosensor for pesticide residues detection in real vegetable samples.
Keywords :
agricultural products; agrochemicals; biosensors; chromatography; filtration; nanostructured materials; AChE biosensor; Chit-PB-MWNT-HGN film; centrifugation extraction method; chitosan-prussian blue-multiwall carbon nanotubes-hollow gold nanospheres; filtration extraction method; nanomaterial-modified acetylcholinesterase biosensor; oscillation extraction method; pesticide residue rapid detection; relative standard deviation; sample extraction method; standard gas chromatograph method; ultrasonication extraction method; vegetables real samples;
Journal_Title :
Micro & Nano Letters, IET
DOI :
10.1049/mnl.2013.0073