Integration of first- and second-generation ethanol production: Evaluation of a mathematical model to describe sucrose and xylose co-fermentation by recombinant Saccharomyces cerevisiae

F.D. Martínez-Jimenez, I.O. Pereira, M.P.A. Ribeiro, C.R. Sargo, A.A. dos Santos, E. Zanella, B.U. Stambuk, J.L. Ienczak, E.R. Morais and A.C. Costa

Renewable Energy, 2022, vol. 192, issue C, 326-339

Abstract: The use of hydrolysates of lignocellulosic materials and microbial platforms present themselves as viable alternatives to the current system energy. The metabolization of the different carbohydrates present in the hydrolysates by yeasts is a process bottleneck. Genetically modified yeasts can ferment different carbohydrates. Furthermore, mathematical modelling helps to understand the dynamics and interactions during the process and predicts other conditions. The performance of the recombinant yeast Saccharomyces cerevisiae was evaluated for co-fermentation in different carbohydrates proportions (C12 – C5, 30.67 ± 0.71–70.17 ± 2.64%) and initial cell densities (0.28 ± 0.07, 10.95 ± 0.250 and 30.25 ± 0.25 g·L−1) using an unstructured – unsegregated kinetic model aiming the integration of first-and-second generation ethanol production. The method to obtain confidence region, the parameter's correlation, and the convergence of the parameters followed a pipeline previously developed by our researcher group. The mathematical models described the fermentations, and μGlu,max, μFru,max, πGlu,max, πXyl,max, ρXyl,max and ψXyl,max were the parameters with the slightest variation during the convergence process. Also, it was identified that the yeast consumed glucose and fructose simultaneously to form cell, however μGlu,max was higher relative to μFru,max in all cases (0.1909, 0.0341, 0.1815 h−1 for μGlu,max, and 1.00E-5, 2.86E-05, 2.44E-05 h−1 for μFru,max). On the other hand, πGlu,max and πFru,max were higher relative to πXyl,max.

Keywords: Genetically modified yeasts; Kinetic parameter estimation; Parametric dynamics; Ethanol 1G-2G (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:192:y:2022:i:c:p:326-339

DOI: 10.1016/j.renene.2022.04.094

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