Title: Optimal dynamic experiment design for estimation of microbial growth kinetics at sub-optimal temperatures: Modes of implementation
Authors: Bernaerts, Kristel
Van Impe, Jan # ×
Issue Date: Feb-2005
Publisher: Elsevier Science
Series Title: Simulation Modelling Practice and Theory vol:13 issue:2 pages:129-138
Abstract: Application of optimal experiment design for parameter estimation enhances the informative character of experiments in view of maximising the parameter estimation quality. In this work, dynamic temperature inputs are applied to optimally estimate two kinetic parameters describing the temperature-dependence of the specific growth rate of micro-organisms. Validity of the model structure is constrained to (i) the sub-optimal growth temperature range, and to (ii) relatively small temperature gradients. This paper presents different ways to deal with these model validity constraints during optimal experiment design. Presented concepts can be valuable to other domains of (bio-)process modelling. (C) 2004 Elsevier B.V. All rights reserved.
ISSN: 1569-190X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Bio- & Chemical Systems Technology, Reactor Engineering and Safety Section
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science