Identification of reaction networks for bioprocesses: determination of a partially unknown pseudo-stoichiometric matrix.
In this paper we propose a methodology to determine the structure of the pseudo-stoichiometric coefficient matrix K in a mass balance-based model and to identify its coefficients from a set of available data. The first stage consists in estimating the number of reactions that must be taken into account to represent the main mass transfer within the bioreactor. This provides the dimension of K. Then we propose a method to directly determine the structure of the matrix (i.e. mainly its zeros and the signs of its coefficients). These methods are illustrated with simulations of a process of lipase production from olive oil by Candida rugosa.
Bernard
Olivier
O
INRIA-COMORE, BP93, 06902 Sophia-Antipolis Cedex, France. olivier.bernard@inria.fr
Bastin
Georges
G
D000465:Algorithms; D001704:Biopolymers / Q000737:chemistry / Q000378:metabolism*; D019149:Bioreactors / Q000382:microbiology*; D002175:Candida / Q000201:enzymology*; D018929:Cell Culture Techniques / Q000379:methods; D003198:Computer Simulation; D005786:Gene Expression Regulation / Q000502:physiology; D007700:Kinetics; D008049:Lipase / Q000096:biosynthesis*; D008657:Metabolic Clearance Rate; D008954:Models, Biological; D008956:Models, Chemical; D009716:Numerical Analysis, Computer-Assisted; D000069463:Olive Oil; D010938:Plant Oils / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*; D049490:Systems Biology / Q000379:methods
D001704:Biopolymers; D000069463:Olive Oil; D010938:Plant Oils; D008049:Lipase