Microbial production of enzymes: Nonlinear state and kinetic reaction rates estimation

Dan Selişteanu 1 Sihem Tebbani 2 Monica Roman 1 Emil Petre 1 Vlad Georgeanu 3
1 University of Craiova
2 E3S - Supélec Sciences des Systèmes [Gif-sur-Yvette]
3 Faculty of General Medicine, University of Medicine and Pharmacy “Carol Davila” Bucharest, Eroilor Sanitari 8, Bucharest 050474, Romania
Abstract : The nonlinearity of the biotechnological processes and the absence of cheap and reliable instrumentation require an enhanced modelling effort and estimation strategies for the state and the kinetic parameters. This work approaches nonlinear estimation strategies for microbial production of enzymes, exemplified by using a process of lipase production from olive oil by Candida rugosa. First, by using a dynamical mathematical model of this process, an asymptotic observer which reconstructs the unavailable state variables is proposed. The design of this kind of observers is based on mass and energy balances without the knowledge of kinetics being necessary; only minimal information concerning the measured concentrations is used. Second, a nonlinear high-gain observer is designed for the estimation of imprecisely known kinetics of the bioprocess. An important advantage of this high-gain estimator is that the tuning is reduced to the calibration of a single parameter. Numerical simulations in various scenarios are provided in order to test the behaviour and performances of the proposed nonlinear estimation strategies.
keyword : Enzymes
Type de document :
Article dans une revue
Biochemical Engineering Journal, Elsevier, 2014, 91, pp.23-26. 〈10.1016/j.bej.2014.07.010〉
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https://hal-supelec.archives-ouvertes.fr/hal-01084338
Contributeur : Pascale Lepeltier <>
Soumis le : mercredi 19 novembre 2014 - 09:21:35
Dernière modification le : lundi 3 septembre 2018 - 10:26:02

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Dan Selişteanu, Sihem Tebbani, Monica Roman, Emil Petre, Vlad Georgeanu. Microbial production of enzymes: Nonlinear state and kinetic reaction rates estimation. Biochemical Engineering Journal, Elsevier, 2014, 91, pp.23-26. 〈10.1016/j.bej.2014.07.010〉. 〈hal-01084338〉

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