• DocumentCode
    706361
  • Title

    Modelling and controlling techniques of microorganisms mean age in biotechnological processes

  • Author

    Caraman, S. ; Ceanga, E. ; Frangu, L. ; Mencinicopschi, Gh

  • Author_Institution
    Fac. of Electr. Eng., Dunarea de Jos Univ. of Galati, Galati, Romania
  • fYear
    1999
  • fDate
    Aug. 31 1999-Sept. 3 1999
  • Firstpage
    220
  • Lastpage
    225
  • Abstract
    This paper deals with the possibility to control the biosynthesis processes using information about microorganisms mean age. The mean age is a very important parameter characteristic to every species and is tightly linked to the mechanism of producing biosynthesis products. The basic idea in controlling the biosynthesis processes using microorganisms mean age information is to bring the most microorganisms developed in the bioreactor to an optimum age. Thus they become capable of producing a large quantity of biosynthesis products. The simulation presented in this paper pertinently illustrates the viability of this method in continuous bioreactors, having as subject a population of Candida Lipolytica, cultivated on an ammonium sulphate sublayer.
  • Keywords
    bioreactors; biotechnology; microorganisms; process control; Candida Lipolytica; ammonium sulphate sublayer; biosynthesis process control; biosynthesis products; biotechnological processes; continuous bioreactors; microorganisms mean age control technique; microorganisms mean age information; microorganisms mean age modelling; Biological system modeling; Biomass; Control systems; Fuzzy logic; Mathematical model; Microorganisms; Process control; age controlling; biosynthesis processes; fuzzy logic controller; mathematical model; mean age;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 1999 European
  • Conference_Location
    Karlsruhe
  • Print_ISBN
    978-3-9524173-5-5
  • Type

    conf

  • Filename
    7099303