Modelling and Fuzzy-Decision-Making of Batch Cultivation of Saccharomyces cerevisiae using Different Mixing Systems

Abstract

This study is focussed on the modelling and fuzzy-decision-making of impulse mixing and vibromixing for a Saccharomyces cerevisiae batch cultivation. Different substrate inhibition models (Monod, Aiba, Andrews, Haldane, Luong, Edward, and Han-Levenspiel) have been considered in order to explain the cell growth kinetics. The results obtained (correlation coefficient, Fisher coefficient, relative error and statistics l) show that all growth rate models are adequate and can be used for modelling. The investigations have shown that the most suitable for both mixing systems (according to the best statistical indicators) is the Luong growth rate model, which will be used for the process modelling. A fuzzy-decision-making procedure is developed with the initial conditions (maximal rotation speed for the impulse mixing and maximal amplitude for the vibromixing systems). The developed optimisation and results obtained have shown that the impulse mixing systems have better productiveness and better glucose assimilation. In addition, it is easier to realize this system.

Modelling and Multi-Criteria Decision Making for Selection of Specific Growth Rate Models of Batch Cultivation by Saccharomyces cerevisiae Yeast for Ethanol Production

“…In our papers [11][12][13][14][15][16], two mixing systems were studied: Impulse and vibromixing systems in batch cultivation of Saccharomyces cerevisiae yeast. Six models were investigated for the following specific growth rate: Monod, Aiba, Andrews, Haldane, Luong, and Edward.…”