Literature DB >> 28589216

Mathematical modeling of the ethanol fermentation of cashew apple juice by a flocculent yeast: the effect of initial substrate concentration and temperature.

Álvaro Daniel Teles Pinheiro1,2, Andréa da Silva Pereira2, Emanuel Meneses Barros2, Sandra Regina Ceccato Antonini3, Samuel Jorge Marques Cartaxo2, Maria Valderez Ponte Rocha4, Luciana Rocha B Gonçalves5.   

Abstract

In this work, the effect of initial sugar concentration and temperature on the production of ethanol by Saccharomyces cerevisiae CCA008, a flocculent yeast, using cashew apple juice in a 1L-bioreactor was studied. The experimental results were used to develop a kinetic model relating biomass, ethanol production and total reducing sugar consumption. Monod, Andrews, Levenspiel and Ghose and Tyagi models were investigated to represent the specific growth rate without inhibition, with inhibition by substrate and with inhibition by product, respectively. Model validation was performed using a new set of experimental data obtained at 34 °C and using 100 g L-1 of initial substrate concentration. The model proposed by Ghose and Tyagi was able to accurately describe the dynamics of ethanol production by S. cerevisiae CCA008 growing on cashew apple juice, containing an initial reducing sugar concentration ranging from 70 to 170 g L-1 and temperature, from 26 to 42 °C. The model optimization was also accomplished based on the following parameters: percentage volume of ethanol per volume of solution (%V ethanol/V solution), efficiency and reaction productivity. The optimal operational conditions were determined using response surface graphs constructed with simulated data, reaching an efficiency and a productivity of 93.5% and 5.45 g L-1 h-1, respectively.

Entities:  

Keywords:  Cashew apple; Ethanol fermentation; Flocculent yeast; Juice; Mathematical modeling; Optimization

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Year:  2017        PMID: 28589216     DOI: 10.1007/s00449-017-1782-2

Source DB:  PubMed          Journal:  Bioprocess Biosyst Eng        ISSN: 1615-7591            Impact factor:   3.210


  2 in total

1.  Hybrid neural network modeling and particle swarm optimization for improved ethanol production from cashew apple juice.

Authors:  Andréa da Silva Pereira; Álvaro Daniel Teles Pinheiro; Maria Valderez Ponte Rocha; Luciana Rocha B Gonçalves; Samuel Jorge Marques Cartaxo
Journal:  Bioprocess Biosyst Eng       Date:  2020-09-29       Impact factor: 3.210

2.  High Gravity and Very High Gravity Fermentation of Sugarcane Molasses by Flocculating Saccharomyces cerevisiae: Experimental Investigation and Kinetic Modeling.

Authors:  Cristiane Vieira Camargos; Vitória Demétrio Moraes; Liliane Maciel de Oliveira; Carla Zanella Guidini; Eloízio Júlio Ribeiro; Líbia Diniz Santos
Journal:  Appl Biochem Biotechnol       Date:  2020-11-16       Impact factor: 2.926

  2 in total

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