Optimization and production of probiotic and antimycotoxin yeast biomass using bioethanol industry waste via response surface methodology

Autores
Fochesato, Analía Silvia; Galvagno, Miguel Angel; Dogi, Cecilia Ana; Cerrutti, Patricia; Gonzalez Pereyra, Maria Laura; Flores, Marcelo David; Cavaglieri, Lilia Reneé
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Saccharomyces cerevisiae RC016 presents probiotic and mycotoxin adsorbent properties for use as feed additive. The improvement of S. cerevisiae RC016 biomass production using an agro-industrial waste such as Dried Distillers'Grains and Solubles (DDGs) that pollute the environment can contribute to sustainable development of the process and reduce the costs of large-scale production. In order to avoid theobstruction of the fermentor?s stirring mechanism with solid particles a novel pre treatment of DDGs was conducted to concentrate carbon sources levels. The design of experiments were performed using four factor-three-level Box-Behnken design (carbon source concentration, nitrogen source concentration, yeast extract concentration and incubation time) coupled with response surface methodology to evaluate theinteraction between two factors in order to determine the optimum process conditions. A quadratic model was suggested for the predictionof biomass production. The F-value and p-value of the model indicated that it was statistically significant at 95 percent confidence interval. Inaddition, R2 value of the model indicated an acceptable accuracy. The results were validated at bioreactor level showing that the specific growthrate on the optimized medium (0.34h-1) increased 112.5% compared to the initial non-optimized medium (0.16h-1), the duplication time showeda decrease of 52.9%. Optimization enabled productivity (0.451gL-1h-1) nine times higher than the initial one (0.062gL-1h-1), thus 65% more biomass was obtained (5.20gL-1). The use of biomass DDGse derived from bioethanol production promotes the sustainable and green way of biomass production.
Fil: Fochesato, Analía Silvia. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Microbiología e Inmunología. Cátedra de Micología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Galvagno, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); Argentina
Fil: Dogi, Cecilia Ana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Microbiología e Inmunología. Cátedra de Micología; Argentina
Fil: Cerrutti, Patricia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Industrias. Carrera de Especialista en Area de Bromatología y Tecnología de la Industrialización de Alimentos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gonzalez Pereyra, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Microbiología e Inmunología. Cátedra de Micología; Argentina
Fil: Flores, Marcelo David. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina
Fil: Cavaglieri, Lilia Reneé. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Microbiología e Inmunología. Cátedra de Micología; Argentina
Materia
BIOMASS PRODUCTION
BIOETHANOL INDUSTRY WASTE
DISTILLER'S GRAINS AND SOLUBLES
SACCHAROMYCES CEREVISIAE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/92287
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/92287
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Optimization and production of probiotic and antimycotoxin yeast biomass using bioethanol industry waste via response surface methodologyFochesato, Analía SilviaGalvagno, Miguel AngelDogi, Cecilia AnaCerrutti, PatriciaGonzalez Pereyra, Maria LauraFlores, Marcelo DavidCavaglieri, Lilia ReneéBIOMASS PRODUCTIONBIOETHANOL INDUSTRY WASTEDISTILLER'S GRAINS AND SOLUBLESSACCHAROMYCES CEREVISIAEhttps://purl.org/becyt/ford/2.9https://purl.org/becyt/ford/2Saccharomyces cerevisiae RC016 presents probiotic and mycotoxin adsorbent properties for use as feed additive. The improvement of S. cerevisiae RC016 biomass production using an agro-industrial waste such as Dried Distillers'Grains and Solubles (DDGs) that pollute the environment can contribute to sustainable development of the process and reduce the costs of large-scale production. In order to avoid theobstruction of the fermentor?s stirring mechanism with solid particles a novel pre treatment of DDGs was conducted to concentrate carbon sources levels. The design of experiments were performed using four factor-three-level Box-Behnken design (carbon source concentration, nitrogen source concentration, yeast extract concentration and incubation time) coupled with response surface methodology to evaluate theinteraction between two factors in order to determine the optimum process conditions. A quadratic model was suggested for the predictionof biomass production. The F-value and p-value of the model indicated that it was statistically significant at 95 percent confidence interval. Inaddition, R2 value of the model indicated an acceptable accuracy. The results were validated at bioreactor level showing that the specific growthrate on the optimized medium (0.34h-1) increased 112.5% compared to the initial non-optimized medium (0.16h-1), the duplication time showeda decrease of 52.9%. Optimization enabled productivity (0.451gL-1h-1) nine times higher than the initial one (0.062gL-1h-1), thus 65% more biomass was obtained (5.20gL-1). The use of biomass DDGse derived from bioethanol production promotes the sustainable and green way of biomass production.Fil: Fochesato, Analía Silvia. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Microbiología e Inmunología. Cátedra de Micología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Galvagno, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); ArgentinaFil: Dogi, Cecilia Ana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Microbiología e Inmunología. Cátedra de Micología; ArgentinaFil: Cerrutti, Patricia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Industrias. Carrera de Especialista en Area de Bromatología y Tecnología de la Industrialización de Alimentos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gonzalez Pereyra, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Microbiología e Inmunología. Cátedra de Micología; ArgentinaFil: Flores, Marcelo David. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; ArgentinaFil: Cavaglieri, Lilia Reneé. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Microbiología e Inmunología. Cátedra de Micología; ArgentinaJuniper Publishers Inc.2018-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/92287Fochesato, Analía Silvia; Galvagno, Miguel Angel; Dogi, Cecilia Ana; Cerrutti, Patricia; Gonzalez Pereyra, Maria Laura; et al.; Optimization and production of probiotic and antimycotoxin yeast biomass using bioethanol industry waste via response surface methodology; Juniper Publishers Inc.; Advances in Biotechnology and Microbiology; 8; 1; 2-20182474-7637CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://juniperpublishers.com/aibm/AIBM.MS.ID.555727.phpinfo:eu-repo/semantics/altIdentifier/doi/10.19080/AIBM.2018.08.555727info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:58:57Zoai:ri.conicet.gov.ar:11336/92287instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:58:57.932CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimization and production of probiotic and antimycotoxin yeast biomass using bioethanol industry waste via response surface methodology
title Optimization and production of probiotic and antimycotoxin yeast biomass using bioethanol industry waste via response surface methodology
spellingShingle Optimization and production of probiotic and antimycotoxin yeast biomass using bioethanol industry waste via response surface methodology
Fochesato, Analía Silvia
BIOMASS PRODUCTION
BIOETHANOL INDUSTRY WASTE
DISTILLER'S GRAINS AND SOLUBLES
SACCHAROMYCES CEREVISIAE
title_short Optimization and production of probiotic and antimycotoxin yeast biomass using bioethanol industry waste via response surface methodology
title_full Optimization and production of probiotic and antimycotoxin yeast biomass using bioethanol industry waste via response surface methodology
title_fullStr Optimization and production of probiotic and antimycotoxin yeast biomass using bioethanol industry waste via response surface methodology
title_full_unstemmed Optimization and production of probiotic and antimycotoxin yeast biomass using bioethanol industry waste via response surface methodology
title_sort Optimization and production of probiotic and antimycotoxin yeast biomass using bioethanol industry waste via response surface methodology
dc.creator.none.fl_str_mv Fochesato, Analía Silvia
Galvagno, Miguel Angel
Dogi, Cecilia Ana
Cerrutti, Patricia
Gonzalez Pereyra, Maria Laura
Flores, Marcelo David
Cavaglieri, Lilia Reneé
author Fochesato, Analía Silvia
author_facet Fochesato, Analía Silvia
Galvagno, Miguel Angel
Dogi, Cecilia Ana
Cerrutti, Patricia
Gonzalez Pereyra, Maria Laura
Flores, Marcelo David
Cavaglieri, Lilia Reneé
author_role author
author2 Galvagno, Miguel Angel
Dogi, Cecilia Ana
Cerrutti, Patricia
Gonzalez Pereyra, Maria Laura
Flores, Marcelo David
Cavaglieri, Lilia Reneé
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv BIOMASS PRODUCTION
BIOETHANOL INDUSTRY WASTE
DISTILLER'S GRAINS AND SOLUBLES
SACCHAROMYCES CEREVISIAE
topic BIOMASS PRODUCTION
BIOETHANOL INDUSTRY WASTE
DISTILLER'S GRAINS AND SOLUBLES
SACCHAROMYCES CEREVISIAE
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.9
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Saccharomyces cerevisiae RC016 presents probiotic and mycotoxin adsorbent properties for use as feed additive. The improvement of S. cerevisiae RC016 biomass production using an agro-industrial waste such as Dried Distillers'Grains and Solubles (DDGs) that pollute the environment can contribute to sustainable development of the process and reduce the costs of large-scale production. In order to avoid theobstruction of the fermentor?s stirring mechanism with solid particles a novel pre treatment of DDGs was conducted to concentrate carbon sources levels. The design of experiments were performed using four factor-three-level Box-Behnken design (carbon source concentration, nitrogen source concentration, yeast extract concentration and incubation time) coupled with response surface methodology to evaluate theinteraction between two factors in order to determine the optimum process conditions. A quadratic model was suggested for the predictionof biomass production. The F-value and p-value of the model indicated that it was statistically significant at 95 percent confidence interval. Inaddition, R2 value of the model indicated an acceptable accuracy. The results were validated at bioreactor level showing that the specific growthrate on the optimized medium (0.34h-1) increased 112.5% compared to the initial non-optimized medium (0.16h-1), the duplication time showeda decrease of 52.9%. Optimization enabled productivity (0.451gL-1h-1) nine times higher than the initial one (0.062gL-1h-1), thus 65% more biomass was obtained (5.20gL-1). The use of biomass DDGse derived from bioethanol production promotes the sustainable and green way of biomass production.
Fil: Fochesato, Analía Silvia. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Microbiología e Inmunología. Cátedra de Micología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Galvagno, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); Argentina
Fil: Dogi, Cecilia Ana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Microbiología e Inmunología. Cátedra de Micología; Argentina
Fil: Cerrutti, Patricia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Industrias. Carrera de Especialista en Area de Bromatología y Tecnología de la Industrialización de Alimentos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gonzalez Pereyra, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Microbiología e Inmunología. Cátedra de Micología; Argentina
Fil: Flores, Marcelo David. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina
Fil: Cavaglieri, Lilia Reneé. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Microbiología e Inmunología. Cátedra de Micología; Argentina
description Saccharomyces cerevisiae RC016 presents probiotic and mycotoxin adsorbent properties for use as feed additive. The improvement of S. cerevisiae RC016 biomass production using an agro-industrial waste such as Dried Distillers'Grains and Solubles (DDGs) that pollute the environment can contribute to sustainable development of the process and reduce the costs of large-scale production. In order to avoid theobstruction of the fermentor?s stirring mechanism with solid particles a novel pre treatment of DDGs was conducted to concentrate carbon sources levels. The design of experiments were performed using four factor-three-level Box-Behnken design (carbon source concentration, nitrogen source concentration, yeast extract concentration and incubation time) coupled with response surface methodology to evaluate theinteraction between two factors in order to determine the optimum process conditions. A quadratic model was suggested for the predictionof biomass production. The F-value and p-value of the model indicated that it was statistically significant at 95 percent confidence interval. Inaddition, R2 value of the model indicated an acceptable accuracy. The results were validated at bioreactor level showing that the specific growthrate on the optimized medium (0.34h-1) increased 112.5% compared to the initial non-optimized medium (0.16h-1), the duplication time showeda decrease of 52.9%. Optimization enabled productivity (0.451gL-1h-1) nine times higher than the initial one (0.062gL-1h-1), thus 65% more biomass was obtained (5.20gL-1). The use of biomass DDGse derived from bioethanol production promotes the sustainable and green way of biomass production.
publishDate 2018
dc.date.none.fl_str_mv 2018-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/92287
Fochesato, Analía Silvia; Galvagno, Miguel Angel; Dogi, Cecilia Ana; Cerrutti, Patricia; Gonzalez Pereyra, Maria Laura; et al.; Optimization and production of probiotic and antimycotoxin yeast biomass using bioethanol industry waste via response surface methodology; Juniper Publishers Inc.; Advances in Biotechnology and Microbiology; 8; 1; 2-2018
2474-7637
CONICET Digital
CONICET
url http://hdl.handle.net/11336/92287
identifier_str_mv Fochesato, Analía Silvia; Galvagno, Miguel Angel; Dogi, Cecilia Ana; Cerrutti, Patricia; Gonzalez Pereyra, Maria Laura; et al.; Optimization and production of probiotic and antimycotoxin yeast biomass using bioethanol industry waste via response surface methodology; Juniper Publishers Inc.; Advances in Biotechnology and Microbiology; 8; 1; 2-2018
2474-7637
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://juniperpublishers.com/aibm/AIBM.MS.ID.555727.php
info:eu-repo/semantics/altIdentifier/doi/10.19080/AIBM.2018.08.555727
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Juniper Publishers Inc.
publisher.none.fl_str_mv Juniper Publishers Inc.
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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