Modelling and Multi-Criteria Decision Making for Selection of Specific Growth Rate Models of Batch Cultivation by Saccharomyces cerevisiae Yeast for Ethanol Production
by
Mitko Petrov
Mitko Petrov
Institute of Biophysics and Biomedical Engineering–Bulgarian Academy of Sciences, Sofia 1113, Bulgaria
Fermentation 2019, 5(3), 61; https://doi.org/10.3390/fermentation5030061
Received: 22 May 2019 / Revised: 3 July 2019 / Accepted: 6 July 2019 / Published: 8 July 2019
(This article belongs to the Special Issue New Insights into the Biodiversity and Applications of Saccharomyces cerevisiae)
This study is focused on using multi-criteria decision making (MCDM) for selecting specific growth rate models of batch cultivation by the Saccharomyces cerevisiae. Ten specific growth rate models—Monod, Mink, Tessier, Moser, Aiba, Andrews, Haldane, Luong, Edward, and Han-Levenspiel—were investigated in order to explain the cell growth kinetics by the dependence on glucose. By using the preference ranking organization method (PROMETHEE) II, it was found that the Andrews model was the highest of rank and was the most appropriate one for modelling.
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Keywords:
PROMETHEE II method; preference functions; specific growth rate models; Saccharomyces cerevisiae
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Petrov, M. Modelling and Multi-Criteria Decision Making for Selection of Specific Growth Rate Models of Batch Cultivation by Saccharomyces cerevisiae Yeast for Ethanol Production. Fermentation 2019, 5, 61.
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