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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Dynamic Modeling Application To Evaluate the Performance of Spathaspora passalidarum in Second-Generation Ethanol Production: Parametric Dynamics and the Likelihood Confidence Region

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Author(s):
Martinez-Jimenez, Fernan [1, 2] ; de Arruda Ribeiro, Marcelo Perencin [3] ; Sargo, Cintia Regina [2] ; Ienczak, Jaciane Lutz [4] ; Morais, Edvaldo Rodrigo [2] ; da Costa, Aline Carvalho [1]
Total Authors: 6
Affiliation:
[1] Univ Estadual Campinas, UNICAMP, Sch Chem Engn, BR-13083852 Campinas, SP - Brazil
[2] Brazilian Ctr Res Energy & Mat CNPEM, Brazilian Biorenewables Natl Lab LNBR, BR-13083970 Campinas, SP - Brazil
[3] Univ Fed Sao Carlos, Dept Chem Engn, BR-13565905 Carlos, SP - Brazil
[4] Santa Catarina Fed Univ, Chem Engn & Food Engn Dept, BR-88040900 Florianopolis, SC - Brazil
Total Affiliations: 4
Document type: Journal article
Source: Industrial & Engineering Chemistry Research; v. 60, n. 38, p. 13822-13833, SEP 29 2021.
Web of Science Citations: 0
Abstract

Lignocellulosic materials and agro-industrial residues are essential in a sustainable biorefinery. The effective fermentation of renewable sugars is still an important challenge for an economically viable production of biofuels and biochemicals. This challenge involves biological aspects, such as choosing the microbial platform, and industrial aspects. These aspects can be assessed employing mathematical models to understand the complex synergies between the microorganism and processes. In this work, the performance of the yeast Spathaspora passalidarum was evaluated for the fermentation of xylose and glucose at different proportions, initial concentrations, and initial cell densities using an unstructured-unsegregated kinetic model. The likelihood confidence region, correlations between the parameters, and the convergence of the parameters through the optimization process were identified. It was also possible to identify that pi(Xyl, max), mu(Glu, max), K'(S, Xyl), Y'(PEth/SGlu), Y'(PEth/SXyl), and Y'(X/SGlu) were the most representative parameters, due to the high correlation (positive and negative) they have with the other model parameters. It was also possible to identify how initial substrate concentrations affected the specific uptake substrate and ethanol production rates; in this sense, the increase in the glucose concentration causes a decrease in the specific ethanol formation rate at a high concentration of xylose for S. passalidarum cultivated in the conditions proposed by this study. (AU)

FAPESP's process: 15/20630-4 - Biorefinery development integrated to a bioethanol sugar cane plant with zero CO2 emission: routes to convert renewable resources to bio-products and bio-electricity
Grantee:Rubens Maciel Filho
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 17/04997-0 - Scheffersomyces stipitis and Spathaspora passalidarum wild type yeast assessment for second generation bioethanol production from bagasse sugarcarne hydrolyzates containing xylose and glucose
Grantee:Jaciane Lutz Ienczak
Support Opportunities: Regular Research Grants