International Scientific Publications
© 2007-2026 Science Events Ltd
Terms of Use  ·  Privacy Policy
Language English French Polish Romanian Bulgarian
Conference room
Materials, Methods & Technologies 2026, 28th International Conference
13-16 August, Burgas, Bulgaria
Call for Papers

Materials, Methods & Technologies, Volume 8, 2014

MODELING OF BATCH CULTIVATION OF SACCHAROMYCES CEREVISIAE USING DIFFERENT MIXING SYSTEMS
Mitko M. Petrov, Tatiana S. Ilkova
Pages: 3-13
Published: 2 Jun 2014
Views: 4,373
Downloads: 1,259
Citations: 2 (Google Scholar)
Abstract: Mathematical models in different mixing conditions (impulse and vibromixing) in a Saccharomyces cerevisiae batch cultivation are presented in this work. Six models were investigated for the following specific grown rate: Monod, Aiba, Andrews, Haldane, Luong, and Edward. For the parameter identification, we considered the worst observed error for all experiments as an objective function. This approach is a special case of multi objective parameter estimation problems so that the parameter estimation problem becomes a min–max problem. The obtained results (correlation quotients, Fisher function, relative error and statisticsλ) show all models for the specific grown rates are adequate and they can be used for modelling of the specific grown rate for the different mixing systems. However, the best statistical indicators Luong have for the model for impulse mixing and Haldane model for the vibromixing, and they will be used in a model the process of mixing the two systems.
Keywords: specific grown rate, different mixing systems, min–max problem, modelling
Cite this article: Mitko M. Petrov, Tatiana S. Ilkova. MODELING OF BATCH CULTIVATION OF SACCHAROMYCES CEREVISIAE USING DIFFERENT MIXING SYSTEMS. Journal of International Scientific Publications: Materials, Methods & Technologies 8, 3-13 (2014). https://www.scientific-publications.net/en/article/1000140/
Back to the contents of the volume

Submit Feedback

We value your input! Use this form to report any concerns or provide feedback on our published articles. All submissions will be kept confidential.