Prediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeast

Detalhes bibliográficos
Autor(a) principal: Alex Sander Rodrigues Cangussu
Data de Publicação: 2020
Outros Autores: Pedro Alexandre da Cruz, Raimundo Wagner de Souza Aguiar, Gil Rodrigues dos Santos, Fabrício Souza Campos, Eliane Macedo Sobrinho Santos, Igor Viana Brandi, Kelvinson Fernandes Viana, Paulo Afonso Nogueira, Frederico José Vieira Passos, Celia Alencar de Moraes, Gilzeane dos Santos Santana Prazeres, Wendel Batista da Silveira, Flávia Maria Lopes Passos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: https://doi.org/10.1016/j.biteb.2020.100522
http://hdl.handle.net/1843/47967
Resumo: FAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
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spelling 2022-12-14T14:23:19Z2022-12-14T14:23:19Z2020-0911100522https://doi.org/10.1016/j.biteb.2020.1005222589-014Xhttp://hdl.handle.net/1843/47967FAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas GeraisProbiotic yeasts are sources of food additives producing propionic acid (PA). Here, using metabolic data from p3 under a controlled aeration system was developed a mathematical model to estimate α and β values by Luedeking-Piret equation. Maximum specific formation rate of PA, volumetric productivity of PA and maximum yield coefficient of product were demonstrated in microaerobic system. The formation rates of product (rp) were kinetically associated with the biomass formation rates (rx) and the concentrations of dry weight cell (DWC). The α value was of 0.450639 (mmol·l−1 PA·g−1 DWC) and 0.64479 (mmol·l−1 PA·g−1 DWC), and β value of 0.000243 (mmol·l−1 PA·h−1) and 0.00138 (mmol·l−1 PA·h−1), in aerobic and microaerobic systems, respectively. Therefore, here, was possible to simulate the DWC and PA production and to describe that the PA production followed a semi-growth-associated model.engUniversidade Federal de Minas GeraisUFMGBrasilICA - INSTITUTO DE CIÊNCIAS AGRÁRIASBioresource Technology ReportsProbióticosCinética químicaÁcido propiónicoLevedurasPrediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeastinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://www.sciencedirect.com/science/article/pii/S2589014X20301432Alex Sander Rodrigues CangussuPedro Alexandre da CruzRaimundo Wagner de Souza AguiarGil Rodrigues dos SantosFabrício Souza CamposEliane Macedo Sobrinho SantosIgor Viana BrandiKelvinson Fernandes VianaPaulo Afonso NogueiraFrederico José Vieira PassosCelia Alencar de MoraesGilzeane dos Santos Santana PrazeresWendel Batista da SilveiraFlávia Maria Lopes Passosinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGORIGINALPrediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeast.pdfPrediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeast.pdfapplication/pdf1383414https://repositorio.ufmg.br/bitstream/1843/47967/2/Prediction%20of%20fermentative%20parameters%20from%20mathematical%20modeling%20using%20thermotolerant%20probiotic%20yeast.pdfbe89148270cc783ee4f3f4e40f454b5fMD52LICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/47967/1/License.txtfa505098d172de0bc8864fc1287ffe22MD511843/479672022-12-14 11:23:20.145oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2022-12-14T14:23:20Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Prediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeast
title Prediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeast
spellingShingle Prediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeast
Alex Sander Rodrigues Cangussu
Probióticos
Cinética química
Ácido propiónico
Leveduras
title_short Prediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeast
title_full Prediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeast
title_fullStr Prediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeast
title_full_unstemmed Prediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeast
title_sort Prediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeast
author Alex Sander Rodrigues Cangussu
author_facet Alex Sander Rodrigues Cangussu
Pedro Alexandre da Cruz
Raimundo Wagner de Souza Aguiar
Gil Rodrigues dos Santos
Fabrício Souza Campos
Eliane Macedo Sobrinho Santos
Igor Viana Brandi
Kelvinson Fernandes Viana
Paulo Afonso Nogueira
Frederico José Vieira Passos
Celia Alencar de Moraes
Gilzeane dos Santos Santana Prazeres
Wendel Batista da Silveira
Flávia Maria Lopes Passos
author_role author
author2 Pedro Alexandre da Cruz
Raimundo Wagner de Souza Aguiar
Gil Rodrigues dos Santos
Fabrício Souza Campos
Eliane Macedo Sobrinho Santos
Igor Viana Brandi
Kelvinson Fernandes Viana
Paulo Afonso Nogueira
Frederico José Vieira Passos
Celia Alencar de Moraes
Gilzeane dos Santos Santana Prazeres
Wendel Batista da Silveira
Flávia Maria Lopes Passos
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Alex Sander Rodrigues Cangussu
Pedro Alexandre da Cruz
Raimundo Wagner de Souza Aguiar
Gil Rodrigues dos Santos
Fabrício Souza Campos
Eliane Macedo Sobrinho Santos
Igor Viana Brandi
Kelvinson Fernandes Viana
Paulo Afonso Nogueira
Frederico José Vieira Passos
Celia Alencar de Moraes
Gilzeane dos Santos Santana Prazeres
Wendel Batista da Silveira
Flávia Maria Lopes Passos
dc.subject.other.pt_BR.fl_str_mv Probióticos
Cinética química
Ácido propiónico
Leveduras
topic Probióticos
Cinética química
Ácido propiónico
Leveduras
description FAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
publishDate 2020
dc.date.issued.fl_str_mv 2020-09
dc.date.accessioned.fl_str_mv 2022-12-14T14:23:19Z
dc.date.available.fl_str_mv 2022-12-14T14:23:19Z
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://hdl.handle.net/1843/47967
dc.identifier.doi.pt_BR.fl_str_mv https://doi.org/10.1016/j.biteb.2020.100522
dc.identifier.issn.pt_BR.fl_str_mv 2589-014X
url https://doi.org/10.1016/j.biteb.2020.100522
http://hdl.handle.net/1843/47967
identifier_str_mv 2589-014X
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Bioresource Technology Reports
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
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instname_str Universidade Federal de Minas Gerais (UFMG)
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collection Repositório Institucional da UFMG
bitstream.url.fl_str_mv https://repositorio.ufmg.br/bitstream/1843/47967/2/Prediction%20of%20fermentative%20parameters%20from%20mathematical%20modeling%20using%20thermotolerant%20probiotic%20yeast.pdf
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