Literature DB >> 27988216

Kinetic models for batch ethanol production from sweet sorghum juice under normal and high gravity fermentations: Logistic and modified Gompertz models.

Niphaphat Phukoetphim1, Apilak Salakkam2, Pattana Laopaiboon2, Lakkana Laopaiboon3.   

Abstract

The aim of this study was to model batch ethanol production from sweet sorghum juice (SSJ), under normal gravity (NG, 160g/L of total sugar) and high gravity (HG, 240g/L of total sugar) conditions with and without nutrient supplementation (9g/L of yeast extract), by Saccharomyces cerevisiae NP 01. Growth and ethanol production increased with increasing initial sugar concentration, and the addition of yeast extract enhanced both cell growth and ethanol production. From the results, either logistic or a modified Gompertz equation could be used to describe yeast growth, depending on information required. Furthermore, the modified Gompertz model was suitable for modeling ethanol production. Both the models fitted the data very well with coefficients of determination exceeding 0.98. The results clearly showed that these models can be employed in the development of ethanol production processes using SSJ under both NG and HG conditions. The models were also shown to be applicable to other ethanol fermentation systems employing pure and mixed sugars as carbon sources.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Batch ethanol fermentation; Logistic function and modified Gompertz models; Normal (NG) and high (HG) gravity; Saccharomyces cerevisiae; Sweet sorghum juice

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Year:  2016        PMID: 27988216     DOI: 10.1016/j.jbiotec.2016.12.012

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  3 in total

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Journal:  Environ Dev Sustain       Date:  2021-08-17       Impact factor: 4.080

2.  Impact of nanoparticle inclusion on bioethanol production process kinetic and inhibitor profile.

Authors:  Isaac A Sanusi; Terence N Suinyuy; Gueguim E B Kana
Journal:  Biotechnol Rep (Amst)       Date:  2021-01-06

3.  Formate Dehydrogenase Improves the Resistance to Formic Acid and Acetic Acid Simultaneously in Saccharomyces cerevisiae.

Authors:  Cong Du; Yimin Li; Ruijuan Xiang; Wenjie Yuan
Journal:  Int J Mol Sci       Date:  2022-03-21       Impact factor: 5.923

  3 in total

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