title: Parameter identification of Droop model: an experimental case study.
abstract: Mathematical modeling and the development of predictive dynamic models are of paramount importance for the optimization, state estimation, and control of bioprocesses. This study is dedicated to the identification of a simple model of microalgae growth under substrate limitation, i.e., Droop model, and describes the design and instrumentation of a lab-scale flat-plate photobioreactor, the associated on-line and off-line instrumentation, the collection of experimental data, and the parameter identification procedure. In particular, a dedicated methodology for parameter identification is discussed, including the determination of an initial parameter set using an analytical procedure, the selection of a cost function, the evaluation of confidence intervals as well as direct and cross-validation tests.
authors.affiliation: BioSys, University of Mons, Boulevard Dolez 31, 7000, Mons, Belgium, Micaela.Benavides@umons.ac.be.
authors.forename: Micaela
authors.initials: M
authors.lastname: Benavides
authors.forename: Anne-Lise
authors.initials: AL
authors.lastname: Hantson
authors.forename: Jan
authors.initials: J
authors.lastname: Van Impe
authors.forename: Alain
authors.initials: A
authors.lastname: Vande Wouwer
mesh_terms: D049109:Cell Proliferation / Q000502:physiology* / Q000528:radiation effects*; D003198:Computer Simulation; D004307:Dose-Response Relationship, Radiation; D008027:Light; D058086:Microalgae / Q000502:physiology* / Q000528:radiation effects; D008954:Models, Biological; D058433:Photobioreactors / Q000382:microbiology*; D010788:Photosynthesis / Q000502:physiology* / Q000528:radiation effects