Optimization of first generation alcoholic fermentation process with Saccharomyces cerevisiae

Detalhes bibliográficos
Autor(a) principal: Bonassa, Gabriela
Data de Publicação: 2015
Outros Autores: Schneider, Lara Talita, Cremonez, Paulo André, Oliveira, Carlos de Jesus de, Teleken, Joel Gustavo, Frigo, Elisandro Pires
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta scientiarum. Technology (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/25794
Resumo: The influence of variables that affect the process of alcohol fermentation for the optimization of ethanol production is evaluated, with fermentation time, final substrate concentration, cells and ethanol as performance indexes. A statistical planning for process optimization was employed by analyzing three independent variables: temperature, pH and Brix and the influence they have on dependent variables. Brix and pH had a significant effect on fermentation time with a 77% rate by analysis of variance. In the case of concentration of substrate and product, only Brix had a significant effect, with regression above 75 and 87%, respectively. Since the two models are valid at 95% confidence interval since Fcalculated is greater than Ftabulated, they may be employed to estimate fermentation time and the concentration of substrate and ethanol. 
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spelling Optimization of first generation alcoholic fermentation process with Saccharomyces cerevisiaebiofuelethanolfermentation processes.Processos BioquimicosThe influence of variables that affect the process of alcohol fermentation for the optimization of ethanol production is evaluated, with fermentation time, final substrate concentration, cells and ethanol as performance indexes. A statistical planning for process optimization was employed by analyzing three independent variables: temperature, pH and Brix and the influence they have on dependent variables. Brix and pH had a significant effect on fermentation time with a 77% rate by analysis of variance. In the case of concentration of substrate and product, only Brix had a significant effect, with regression above 75 and 87%, respectively. Since the two models are valid at 95% confidence interval since Fcalculated is greater than Ftabulated, they may be employed to estimate fermentation time and the concentration of substrate and ethanol. Universidade Estadual De Maringá2015-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/2579410.4025/actascitechnol.v37i3.25794Acta Scientiarum. Technology; Vol 37 No 3 (2015); 313-320Acta Scientiarum. Technology; v. 37 n. 3 (2015); 313-3201806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/25794/pdf_94Bonassa, GabrielaSchneider, Lara TalitaCremonez, Paulo AndréOliveira, Carlos de Jesus deTeleken, Joel GustavoFrigo, Elisandro Piresinfo:eu-repo/semantics/openAccess2015-09-11T09:21:41Zoai:periodicos.uem.br/ojs:article/25794Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2015-09-11T09:21:41Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Optimization of first generation alcoholic fermentation process with Saccharomyces cerevisiae
title Optimization of first generation alcoholic fermentation process with Saccharomyces cerevisiae
spellingShingle Optimization of first generation alcoholic fermentation process with Saccharomyces cerevisiae
Bonassa, Gabriela
biofuel
ethanol
fermentation processes.
Processos Bioquimicos
title_short Optimization of first generation alcoholic fermentation process with Saccharomyces cerevisiae
title_full Optimization of first generation alcoholic fermentation process with Saccharomyces cerevisiae
title_fullStr Optimization of first generation alcoholic fermentation process with Saccharomyces cerevisiae
title_full_unstemmed Optimization of first generation alcoholic fermentation process with Saccharomyces cerevisiae
title_sort Optimization of first generation alcoholic fermentation process with Saccharomyces cerevisiae
author Bonassa, Gabriela
author_facet Bonassa, Gabriela
Schneider, Lara Talita
Cremonez, Paulo André
Oliveira, Carlos de Jesus de
Teleken, Joel Gustavo
Frigo, Elisandro Pires
author_role author
author2 Schneider, Lara Talita
Cremonez, Paulo André
Oliveira, Carlos de Jesus de
Teleken, Joel Gustavo
Frigo, Elisandro Pires
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Bonassa, Gabriela
Schneider, Lara Talita
Cremonez, Paulo André
Oliveira, Carlos de Jesus de
Teleken, Joel Gustavo
Frigo, Elisandro Pires
dc.subject.por.fl_str_mv biofuel
ethanol
fermentation processes.
Processos Bioquimicos
topic biofuel
ethanol
fermentation processes.
Processos Bioquimicos
description The influence of variables that affect the process of alcohol fermentation for the optimization of ethanol production is evaluated, with fermentation time, final substrate concentration, cells and ethanol as performance indexes. A statistical planning for process optimization was employed by analyzing three independent variables: temperature, pH and Brix and the influence they have on dependent variables. Brix and pH had a significant effect on fermentation time with a 77% rate by analysis of variance. In the case of concentration of substrate and product, only Brix had a significant effect, with regression above 75 and 87%, respectively. Since the two models are valid at 95% confidence interval since Fcalculated is greater than Ftabulated, they may be employed to estimate fermentation time and the concentration of substrate and ethanol. 
publishDate 2015
dc.date.none.fl_str_mv 2015-07-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/25794
10.4025/actascitechnol.v37i3.25794
url http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/25794
identifier_str_mv 10.4025/actascitechnol.v37i3.25794
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/25794/pdf_94
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Technology; Vol 37 No 3 (2015); 313-320
Acta Scientiarum. Technology; v. 37 n. 3 (2015); 313-320
1806-2563
1807-8664
reponame:Acta scientiarum. Technology (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta scientiarum. Technology (Online)
collection Acta scientiarum. Technology (Online)
repository.name.fl_str_mv Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actatech@uem.br
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