• DocumentCode
    58146
  • 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
  • Volume
    8
  • Issue
    7
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    330
  • Lastpage
    335
  • 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;
  • fLanguage
    English
  • Journal_Title
    Micro & Nano Letters, IET
  • Publisher
    iet
  • ISSN
    1750-0443
  • Type

    jour

  • DOI
    10.1049/mnl.2013.0073
  • Filename
    6568522