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
Link To Document :
بازگشت