Development of new unstructured model for simultaneous saccharification and fermentation of starch to ethanol by recombinant strain

• Published in: Biochemical engineering journal Vol. 28; no. 3; pp. 243 - 255
• Main Authors: Kroumov, Alexander Dimitrov, Módenes, Aparecido Nivaldo, Tait, Maicon C. de Araujo
• Format: Journal Article
• Language: English
• Published: Lausanne Elsevier B.V 01.03.2006; Amsterdam Elsevier Science; New York, NY
• Subjects: Aspergillus awamori; Biological and medical sciences; Biotechnology; Ethanol; Fundamental and applied biological sciences. Psychology; Kinetics; Modeling; Recombinant yeast; Saccharomyces cerevisiae; Simultaneous saccharification and fermentation; Recombinant yeast; Kinetics; Ethanol; Modeling; Simultaneous saccharification and fermentation; Starch; Saccharification; Models; Fermentation; Genetically modified microorganism
• ISSN: 1369-703X; 1873-295X
• DOI: 10.1016/j.bej.2005.11.008

The development of simultaneous saccharification and fermentation of starch to ethanol (SSFSE) by genetically modified microbial strains has been studied intensively [M.M. Altintas, B. Kirdar, Z.Ï. Önsan, K.Ö. Ülgen, Cybernetic modelling of growth and ethanol production in a recombinant Saccharomyces cerevisiae strain secreting a bifunctional fusion protein, Process Biochem. 37 (2002) 1439–1445; G. Birol, Z.Ï. Önsan, B. Kirdar, S.G. Oliver, Ethanol production and fermentation characteristics of recombinant Saccharomyces cerevisiae strains grown on starch, Enzyme Microb. Technol. 22 (1998) 672–677; F. Kobayashi, Y. Nakamura, Effect of repressor gene on stability of bioprocess with continuous conversion of starch into ethanol using recombinant yeast, Biochem. Eng. J. 18 (2004) 133–141; F. Kobayashi, Y. Nakamura, Mathematical model of direct ethanol production from starch in immobilized recombinant yeast culture, Biochem. Eng. J. 21 (2004) 93–101; M.M. Altintas, K.Ö. Ülgen, B. Kirdar, Z.Ï. Önsan, S.G. Oliver, Improvement of ethanol production from starch by recombinant yeast through manipulation of environmental factors, Enzyme Microb. Technol. 31 (2002) 640–647; K.Ö. Ülgen, B. Saygili, Z.Ï. Önsan, B. Kirdar, Bioconversion of starch into ethanol by a recombinant Saccharomyces cerevisiae strain YPG-AB, Process Biochem. 37 (2002) 1157–1168]. Saccharomyces cerevisiae YPB-G strain secretes a bifunctional fusion protein containing enzymatic activity of the B. subtilis alpha-amylase and of the Aspergillus awamori glucoamylase [M.M. Altintas, B. Kirdar, Z.Ï. Önsan, K.Ö. Ülgen, Cybernetic modelling of growth and ethanol production in a recombinant Saccharomyces cerevisiae strain secreting a bifunctional fusion protein, Process Biochem. 37 (2002) 1439–1445], and therefore is distinguished in relation to SSFSE step. In this work we have used the experimental data, presented in the paper [M.M. Altintas, B. Kirdar, Z.Ï. Önsan, K.Ö. Ülgen, Cybernetic modelling of growth and ethanol production in a recombinant Saccharomyces cerevisiae strain secreting a bifunctional fusion protein, Process Biochem. 37 (2002) 1439–1445] to develop two-hierarchic-level unstructured mathematical model describing kinetics of direct bioconversion of starch to ethanol. The first level has modeled enzymatic hydrolysis of starch to glucose by bifunctional protein and the second level includes utilization and bioconversion of glucose to ethanol by yeasts. The second level has unified the enzymatic degradation of starch, and glucose metabolization to ethanol by microorganisms. The response surface analysis was used to develop the rates models. A hybrid genetic algorithm and a decomposition approach were used in the nonlinear parameters identification procedure. The proposed model demonstrated excellent flexibility for different operational conditions of SSFSE process, and can be used successfully to describe microbial physiology of genetically modified strains.