Simplified modeling of fed-batch alcoholic fermentation of sugarcane blackstrap molasses
- PMID: 12910547
- DOI: 10.1002/bit.10750
Simplified modeling of fed-batch alcoholic fermentation of sugarcane blackstrap molasses
Abstract
Simplified modeling based on material balances for biomass, ethanol and substrate was used to describe the kinetics of fed-batch alcohol fermentation of sugarcane blackstrap molasses. Maintenance requirements were previously shown to be of particular significance in this system, owing to the use of massive inoculum to minimize inhibitions; therefore, they were taken into consideration for kinetic modeling. Average values of biomass and ethanol yields, productivities, and substrate consumption rates, calculated at the end of runs performed either at constant or exponentially varying flow rates, demonstrated that all of these parameters were influenced by the initial sugar-feeding rate, F(o)S(o). Under conditions of substrate shortage (F(o)S(o) </= 300 g(S) h(-1)), the amount of carbon dioxide produced was higher than that corresponding to the stoichiometry of sucrose fermentation to ethanol, indicating that an appreciable fraction of the carbon source was likely consumed by respiration. Besides, the biomass yields either on substrate, Y(X/S), or ethanol, Y(X/E), as well as the product yield on substrate, Y(E/S), notably decreased. These results are in agreement with the relatively high specific rate of anaerobic substrate consumption for maintenance estimated for this system (m(a) (s) = 0.789 g(S) g(X) (-1) h(-1)), which was responsible for the consumption of more than 70% of the fed carbon source. The proposed equations derived from the Monod model proved to be a useful tool to easily predict the performance of this process.
Copyright 2003 Wiley Periodicals, Inc. Biotechnol Bioeng 84:88-95, 2003
Similar articles
-
Ethanol fermentation in an immobilized cell reactor using Saccharomyces cerevisiae.Bioresour Technol. 2004 May;92(3):251-60. doi: 10.1016/j.biortech.2003.09.009. Bioresour Technol. 2004. PMID: 14766158
-
Estimation of temperature dependent parameters of a batch alcoholic fermentation process.Appl Biochem Biotechnol. 2007 Apr;137-140(1-12):753-63. doi: 10.1007/s12010-007-9095-6. Appl Biochem Biotechnol. 2007. PMID: 18478432
-
Modeling threshold phenomena, metabolic pathways switches and signals in chemostat-cultivated cells: the Crabtree effect in Saccharomyces cerevisiae.J Theor Biol. 2004 Feb 21;226(4):483-501. doi: 10.1016/j.jtbi.2003.10.017. J Theor Biol. 2004. PMID: 14759654
-
Roles for replicative deactivation in yeast-ethanol fermentations.Crit Rev Biotechnol. 1990;10(3):205-22. doi: 10.3109/07388559009038208. Crit Rev Biotechnol. 1990. PMID: 2268872 Review. No abstract available.
-
In situ microscopy: a perspective for industrial bioethanol production monitoring.J Microbiol Methods. 2013 Jun;93(3):224-32. doi: 10.1016/j.mimet.2013.03.009. Epub 2013 Mar 22. J Microbiol Methods. 2013. PMID: 23524154 Review.
Cited by
-
Enhanced ethanol production at commercial scale from molasses using high gravity technology by mutant S. cerevisiae.Braz J Microbiol. 2017 Jul-Sep;48(3):403-409. doi: 10.1016/j.bjm.2017.02.003. Epub 2017 Feb 16. Braz J Microbiol. 2017. PMID: 28279601 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Molecular Biology Databases