• DocumentCode
    3546326
  • Title

    Rapid detection of pesticide residues in vegetables with mini-colorimeter

  • Author

    Changlong, Wang ; Shengwei, Zhang ; Ting, Yuan ; Maosong, Shen

  • Author_Institution
    Mech. Inst., Yangzhou Univ., Yangzhou, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    This paper describes a rapid pesticide residues detection method for vegetable samples or water samples based on a mini-colorimeter. The sensors responding signal and condition circuit of the mini-colorimeter are composed of emitting diodes, photodiode receivers and integrated circuit amplifiers. Single chip microprocessor is the core of the system. The concentration (PPM) of pesticides is displayed by 4 nixietubes. A neural network mathematic model is established to calculate the residual concentration of the pesticides. The neural network weigh matrixes are trained with supervised samples of 0-6 PPM omethoate and Chlorsalicylamide. The pesticide residues are detected for greengrocery samples. Using this meter, it takes one minute to measure the organophosphates pesticide residues in a greengrocery sample or Chlorsalicylamide in water sample. This meter can be used in other pesticides detection with the help of suitable chromogenic agents.
  • Keywords
    agriculture; agrochemicals; amplifiers; food safety; integrated circuits; learning (artificial intelligence); matrix algebra; neural nets; pest control; photodiodes; 0-6 PPM omethoate; Chlorsalicylamide; chromogenic agents; condition circuit; emitting diodes; greengrocery samples; integrated circuit amplifiers; minicolorimeter; neural network mathematic model; neural network weigh matrixes; nixietubes; organophosphates pesticide residue measurement; pesticide residue detection; photodiode receivers; residual concentration; sensors responding signal; single chip microprocessor; vegetable samples; water samples; Circuit testing; Consumer electronics; Infrared sensors; Instruments; Light emitting diodes; Neural networks; Photodiodes; Pollution measurement; Water pollution; Water resources; mini-colorimeter; neural network; pesticide residues; photoelectric diode;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274757
  • Filename
    5274757