Literature DB >> 23334030

Use of continuous lactose fermentation for ethanol production by Kluveromyces marxianus for verification and extension of a biochemically structured model.

S Sansonetti1, T J Hobley, S Curcio, J Villadsen, G Sin.   

Abstract

A biochemically structured model has been developed to describe the continuous fermentation of lactose to ethanol by Kluveromyces marxianus and allowed metabolic coefficients to be determined. Anaerobic lactose-limited chemostat fermentations at different dilution rates (0.02-0.35h(-1)) were performed. Species specific rates of consumption/formation, as well as yield coefficients were determined. Ethanol yield (0.655 C-mol ethanol(∗)C-mol lactose(-1)) was as high as 98% of theoretical. The modeling procedure allowed calculation of maintenance coefficients for lactose consumption and ethanol production of m(s)=0.6029 and m(e)=0.4218 (C-mol) and (C-molh)(-1), respectively. True yield coefficients for biomass, ethanol and glycerol production were calculated to be Y(true)(sx)=0.114, Y(true)(ex)=0.192 and Y(sg)=2.250 (C-mol) and (C-mol)(-1), respectively. Model calculated maintenance and true yield coefficients agreed very closely with those determined by regressions of the experimental data. The model developed provides a solid basis for the rational design of optimised fermentation of cheese whey.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23334030     DOI: 10.1016/j.biortech.2012.12.080

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  3 in total

1.  The modeling of ethanol production by Kluyveromyces marxianus using whey as substrate in continuous A-Stat bioreactors.

Authors:  Sabrina Gabardo; Gabriela Feix Pereira; Rosane Rech; Marco Antônio Záchia Ayub
Journal:  J Ind Microbiol Biotechnol       Date:  2015-08-02       Impact factor: 3.346

2.  Effect of oxygenation and temperature on glucose-xylose fermentation in Kluyveromyces marxianus CBS712 strain.

Authors:  Lorenzo Signori; Simone Passolunghi; Laura Ruohonen; Danilo Porro; Paola Branduardi
Journal:  Microb Cell Fact       Date:  2014-04-08       Impact factor: 5.328

3.  Neural and hybrid modeling: an alternative route to efficiently predict the behavior of biotechnological processes aimed at biofuels obtainment.

Authors:  Stefano Curcio; Alessandra Saraceno; Vincenza Calabrò; Gabriele Iorio
Journal:  ScientificWorldJournal       Date:  2014-01-05
  3 in total

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