• DocumentCode
    3264344
  • Title

    Signature Enzyme Identification Using Amperometric Biosensor

  • Author

    Hnatiuc, Mihaela ; Montereal, Mariarita

  • Author_Institution
    UMC, Maritime Univ., Constanta, Romania
  • fYear
    2009
  • fDate
    22-26 July 2009
  • Firstpage
    96
  • Lastpage
    99
  • Abstract
    The amperometric biosensor has as fundament the enzyme-modified electrode. In this paper is present the k-means method to analyze the different parameter of input for identification the analyte concentration. The biosensor signal are acquired with Potentiostat-Autolab, PGStat10. The aim of this work is create an automatic system for data acquisition and processing. The analyte concentration identification depends of many parameters as the current corresponding to the neutral solution, the current peak of the saturated solution, dimensions of the electrodes, the time periods of saturation or neutralisation. These parameters are used as inputs classification system for a calibration current-time-concentration dependency. Amperometric biosensor has application in medicine, chemistry, physic, environment engineering.
  • Keywords
    amperometric sensors; biology computing; biosensors; enzymes; molecular biophysics; signal classification; PGStat10; Potentiostat-Autolab; amperometric biosensor; calibration current-time-concentration dependency; data acquisition; data processing; enzyme-modified electrode; k-means method; signal classification; signature enzyme identification; Biochemistry; Biological materials; Biosensors; Building materials; Conducting materials; Electrodes; Electrons; Signal analysis; Signal processing; Working environment noise; : biosensor; K-means; concentration; microsystem; silhouette;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Technologies for Enhanced Quality of Life, 2009. AT-EQUAL '09.
  • Conference_Location
    Iasi
  • Print_ISBN
    978-0-7695-3753-5
  • Type

    conf

  • DOI
    10.1109/AT-EQUAL.2009.44
  • Filename
    5231018