Abstract
The application of the sensitivity analysis to parameter identification of a S. cerevisiae fed-batch cultivation is presented. Parameter identification of a cultivation described with a fifth order non linear mathematical model is a difficult task because of the high number of parameters to be estimated. The aim of the study is the sensitivity analysis to be applied to determine the most significant parameters and to answer the question which parameters are most easily estimated. For that purpose a sensitivity model of a S. cerevisiae fed-batch cultivation is developed and as a result a stepwise parameter identification procedure is proposed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Chipperfield, A.J., Fleming, P., Pohlheim, H., Fonseca, C.M.: Genetic algorithm toolbox for use with MATLAB. User’s guide, version 1.2. Dept. of Automatic Control and System Engineering, University of Sheffield, UK (1994)
Gorry, B., Ireland, A., King, P.: Sensitivity analysis of real-time systems. World Academy of Science, Engineering and Technology 37, 12–19 (2008)
King, J.M.P., Titchener-Hooker, N.J., Zhou, Y.: Ranking bioprocess variables using global sensitivity analysis: a case study in centrifugation. Bioprocess and Biosystems Engineering 30(2), 123–134 (2007)
Noycova, N.A., Gyllenberg, M.: Sensitivity analysis and parameter estimation in a model of anaerobic waste water treatment processes with substrate inhibition. Bioprocess Engineering 23, 343–349 (2000)
Patnaik, P.R.: Transient sensitivity analysis of a cybernetic model of microbial growth on two substrates. Bioprocess Engineering 21, 135–140 (1999)
Pencheva, T., Roeva, O., Hristozov, I.: Functional state approach to fermentation processes modelling. In: Tzonkov, S., Hitzmann, B. (eds.) Prof. Marin Drinov. Academic Publishing House, Sofia (2006)
Roeva, O.: Parameter Estimation of a Monod-Type Model Based on Genetic Algorithms and Sensitivity Analysis. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds.) LSSC 2007. LNCS, vol. 4818, pp. 601–608. Springer, Heidelberg (2008)
Roeva, O.: Sensitivity analysis of E. coli fed-batch cultivation local models. Mathematica Balkanica 4 (2011)
Zhang, X.-C., Visala, A., Halme, A., Linco, P.: Functional state modelling approach for bioprosesses: local models for aerobic yeast growth processes. J. Proc. Contr. 4(3), 127–134 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Angelova, M., Pencheva, T. (2012). Sensitivity Analysis for the Purposes of Parameter Identification of a S. cerevisiae Fed-Batch Cultivation. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2011. Lecture Notes in Computer Science, vol 7116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29843-1_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-29843-1_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29842-4
Online ISBN: 978-3-642-29843-1
eBook Packages: Computer ScienceComputer Science (R0)