Optimization of bioethanol production from cheese whey using Kluyveromyces marxianus URM 7404

Detalhes bibliográficos
Autor(a) principal: Murari, Cleidiane Samara [UNESP]
Data de Publicação: 2019
Outros Autores: Machado, Whallans Raphael Couto [UNESP], Schuina, Guilherme Lorencini [UNESP], Del Bianchi, Vanildo Luiz [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.bcab.2019.101182
http://hdl.handle.net/11449/189175
Resumo: The objective of this study was to optimize the ethanol production from cheese whey, using the yeast Kluyveromyces marxianus URM 7404. The response surface methodology (RSM) with a central composite rotational design (CCRD) was used to evaluate the effects of pH (4–6), temperature (30–36 °C), and lactose concentration (50–70 g.L−1). Cheese whey underwent 17 fermentations and further three fermentations were conducted for the validation of the equation obtained by RSM. After the validation of the optimization, the fermentation process was scaled-up to the volumes of 1 L, 6 L, 21 L, and 36 L, and ethanol production (g.L−1), productivity (QP g.L−1. h−1), conversion (YP/S g.g−1), yield (η %), and chemical oxygen demand (mg COD. L−1) were evaluated. Temperature was the most significant factor used for the optimization of the ethanol production, followed by pH and lactose concentration. The conditions for the ethanol production of higher than 90% were as follows: temperature range from 32.5 to 35.0 °C, pH from 4.8 to 5.3, and lactose concentration from 61.0 to 65.0 g.L−1. The equation generated from the optimization process was validated and presented excellent values and precision for the use of this model in scale-up process, obtaining volume of 36 L, η 95.80%, QP 2.57 g.L−1. h−1, and YP/S 0.50 g.g−1. The COD of the cheese whey was reduced by 78.94%, proving it to be an effective process to reduce the environmental damages caused by this effluent.
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spelling Optimization of bioethanol production from cheese whey using Kluyveromyces marxianus URM 7404BiofuelCheese wheyKluyveromycesOptimizationScale–upYeastsThe objective of this study was to optimize the ethanol production from cheese whey, using the yeast Kluyveromyces marxianus URM 7404. The response surface methodology (RSM) with a central composite rotational design (CCRD) was used to evaluate the effects of pH (4–6), temperature (30–36 °C), and lactose concentration (50–70 g.L−1). Cheese whey underwent 17 fermentations and further three fermentations were conducted for the validation of the equation obtained by RSM. After the validation of the optimization, the fermentation process was scaled-up to the volumes of 1 L, 6 L, 21 L, and 36 L, and ethanol production (g.L−1), productivity (QP g.L−1. h−1), conversion (YP/S g.g−1), yield (η %), and chemical oxygen demand (mg COD. L−1) were evaluated. Temperature was the most significant factor used for the optimization of the ethanol production, followed by pH and lactose concentration. The conditions for the ethanol production of higher than 90% were as follows: temperature range from 32.5 to 35.0 °C, pH from 4.8 to 5.3, and lactose concentration from 61.0 to 65.0 g.L−1. The equation generated from the optimization process was validated and presented excellent values and precision for the use of this model in scale-up process, obtaining volume of 36 L, η 95.80%, QP 2.57 g.L−1. h−1, and YP/S 0.50 g.g−1. The COD of the cheese whey was reduced by 78.94%, proving it to be an effective process to reduce the environmental damages caused by this effluent.UNESP – São Paulo State University Department of Food Engineering and Technology Institute of Biosciences Humanities and Exact Sciences (Ibilce) Campus São José do Rio PretoUNESP – São Paulo State University Department of Food Engineering and Technology Institute of Biosciences Humanities and Exact Sciences (Ibilce) Campus São José do Rio PretoUniversidade Estadual Paulista (Unesp)Murari, Cleidiane Samara [UNESP]Machado, Whallans Raphael Couto [UNESP]Schuina, Guilherme Lorencini [UNESP]Del Bianchi, Vanildo Luiz [UNESP]2019-10-06T16:32:14Z2019-10-06T16:32:14Z2019-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.bcab.2019.101182Biocatalysis and Agricultural Biotechnology, v. 20.1878-8181http://hdl.handle.net/11449/18917510.1016/j.bcab.2019.1011822-s2.0-85066287436Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBiocatalysis and Agricultural Biotechnologyinfo:eu-repo/semantics/openAccess2021-10-22T21:09:47Zoai:repositorio.unesp.br:11449/189175Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:05:22.411695Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Optimization of bioethanol production from cheese whey using Kluyveromyces marxianus URM 7404
title Optimization of bioethanol production from cheese whey using Kluyveromyces marxianus URM 7404
spellingShingle Optimization of bioethanol production from cheese whey using Kluyveromyces marxianus URM 7404
Murari, Cleidiane Samara [UNESP]
Biofuel
Cheese whey
Kluyveromyces
Optimization
Scale–up
Yeasts
title_short Optimization of bioethanol production from cheese whey using Kluyveromyces marxianus URM 7404
title_full Optimization of bioethanol production from cheese whey using Kluyveromyces marxianus URM 7404
title_fullStr Optimization of bioethanol production from cheese whey using Kluyveromyces marxianus URM 7404
title_full_unstemmed Optimization of bioethanol production from cheese whey using Kluyveromyces marxianus URM 7404
title_sort Optimization of bioethanol production from cheese whey using Kluyveromyces marxianus URM 7404
author Murari, Cleidiane Samara [UNESP]
author_facet Murari, Cleidiane Samara [UNESP]
Machado, Whallans Raphael Couto [UNESP]
Schuina, Guilherme Lorencini [UNESP]
Del Bianchi, Vanildo Luiz [UNESP]
author_role author
author2 Machado, Whallans Raphael Couto [UNESP]
Schuina, Guilherme Lorencini [UNESP]
Del Bianchi, Vanildo Luiz [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Murari, Cleidiane Samara [UNESP]
Machado, Whallans Raphael Couto [UNESP]
Schuina, Guilherme Lorencini [UNESP]
Del Bianchi, Vanildo Luiz [UNESP]
dc.subject.por.fl_str_mv Biofuel
Cheese whey
Kluyveromyces
Optimization
Scale–up
Yeasts
topic Biofuel
Cheese whey
Kluyveromyces
Optimization
Scale–up
Yeasts
description The objective of this study was to optimize the ethanol production from cheese whey, using the yeast Kluyveromyces marxianus URM 7404. The response surface methodology (RSM) with a central composite rotational design (CCRD) was used to evaluate the effects of pH (4–6), temperature (30–36 °C), and lactose concentration (50–70 g.L−1). Cheese whey underwent 17 fermentations and further three fermentations were conducted for the validation of the equation obtained by RSM. After the validation of the optimization, the fermentation process was scaled-up to the volumes of 1 L, 6 L, 21 L, and 36 L, and ethanol production (g.L−1), productivity (QP g.L−1. h−1), conversion (YP/S g.g−1), yield (η %), and chemical oxygen demand (mg COD. L−1) were evaluated. Temperature was the most significant factor used for the optimization of the ethanol production, followed by pH and lactose concentration. The conditions for the ethanol production of higher than 90% were as follows: temperature range from 32.5 to 35.0 °C, pH from 4.8 to 5.3, and lactose concentration from 61.0 to 65.0 g.L−1. The equation generated from the optimization process was validated and presented excellent values and precision for the use of this model in scale-up process, obtaining volume of 36 L, η 95.80%, QP 2.57 g.L−1. h−1, and YP/S 0.50 g.g−1. The COD of the cheese whey was reduced by 78.94%, proving it to be an effective process to reduce the environmental damages caused by this effluent.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-06T16:32:14Z
2019-10-06T16:32:14Z
2019-07-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.bcab.2019.101182
Biocatalysis and Agricultural Biotechnology, v. 20.
1878-8181
http://hdl.handle.net/11449/189175
10.1016/j.bcab.2019.101182
2-s2.0-85066287436
url http://dx.doi.org/10.1016/j.bcab.2019.101182
http://hdl.handle.net/11449/189175
identifier_str_mv Biocatalysis and Agricultural Biotechnology, v. 20.
1878-8181
10.1016/j.bcab.2019.101182
2-s2.0-85066287436
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Biocatalysis and Agricultural Biotechnology
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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