Use este identificador para citar ou linkar para este item:
http://hdl.handle.net/1843/47967
Tipo: | Artigo de Periódico |
Título: | Prediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeast |
Autor(es): | 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 |
Resumo: | Probiotic 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. |
Assunto: | Probióticos Cinética química Ácido propiónico Leveduras |
Idioma: | eng |
País: | Brasil |
Editor: | Universidade Federal de Minas Gerais |
Sigla da Instituição: | UFMG |
Departamento: | ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS |
Tipo de Acesso: | Acesso Aberto |
Identificador DOI: | https://doi.org/10.1016/j.biteb.2020.100522 |
URI: | http://hdl.handle.net/1843/47967 |
Data do documento: | Set-2020 |
metadata.dc.url.externa: | https://www.sciencedirect.com/science/article/pii/S2589014X20301432 |
metadata.dc.relation.ispartof: | Bioresource Technology Reports |
Aparece nas coleções: | Artigo de Periódico |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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Prediction of fermentative parameters from mathematical modeling using thermotolerant probiotic yeast.pdf | 1.35 MB | Adobe PDF | Visualizar/Abrir |
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