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Modelling succinic acid fermentation using a xylose based substrate

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바이오화학분류
    • 바이오플라스틱
      1. 고무
      2. 플라스틱
    • 바이오정밀화학
      1. 용매
      2. 화학제품
    • 화장품용 기능성소재
      1. 계면활성제⁄증점제
    • 의료용 화학소재
      1. 식품첨가제
논문

Modelling succinic acid fermentation using a xylose based substrate

학술지

Biochemical engineering journal

저자명

Pateraki, C.; Almqvist, H.; Ladakis, D.; Liden, G.; Koutinas, A.A.; Vlysidis, A.

초록

This study focuses on the development of unstructured models, including both substrate and product inhibition, that predict the cultivation of Actinobacillus succinogenes and Basfia succiniciproducens on a mixture of C5 and C6 sugars, similar to the sugar composition contained in spent sulphite liquor, the liquid waste stream from the sulphite pulping process. The main sugar monomer contained in the medium was xylose (72.6%) with galactose (12.2%), glucose (10.9%), mannose (4.2%) and arabinose (0.1%) making up the remaining sugar content. The growth inhibition caused by metabolic products (succinic, lactic, acetic, formic and mixed acids) and initial mixed sugar concentration was determined. The highest obtained succinic acid yield, final concentration and productivity in fermentations carried out in Duran bottles were 0.76g/g, 26.0g/L and 0.66g/L/h for B. succiniciproducens and 0.69g/g, 27.4g/L and 0.60g/L/h for A. succinogenes, respectively (the units in yield calculations are referred to grams of succinic acid produced per gram of total sugars consumed). The kinetic parameters for both strains were estimated from experimental results. The obtained R<SUP>2</SUP> values for the fitted models were 0.96 for A. succinogenes and 0.94 for B. succiniciproducens. A sensitivity analysis on the obtained parameters showed that the maximum specific growth rates (&mu;<SUB>max</SUB>) and the growth associated substrate consumption parameters (&gamma;) are the most influential model parameters for both microorganisms. The model was validated by fermentations conducted in lab-scale bioreactors showing good agreement between experimental data and model simulations.

발행연도

2016

발행기관

Elsevier

ISSN

1369-703x

114

페이지

pp.26-41

주제어

Modelling; Fermentation; Substrate inhibition; Product inhibition; Actinobacillus succinogenes; Basfia succiniciproducens

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1 2023-12-11

논문; 2016-10-01

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