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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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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Autor(es):
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]
Número total de Autores: 6
Afiliação do(s) autor(es):
[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
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: Industrial & Engineering Chemistry Research; v. 60, n. 38, p. 13822-13833, SEP 29 2021.
Citações Web of Science: 0
Resumo

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)

Processo FAPESP: 15/20630-4 - Desenvolvimento integrado de biorrefinaria e planta de bioetanol de cana-de-açúcar com emissão zero de CO2: rotas para converter recursos renováveis em bioprodutos e bioeletricidade
Beneficiário:Rubens Maciel Filho
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 17/04997-0 - Avaliação de leveduras nativas Scheffersomyces stipitis e Spathaspora passalidarum na produção de bioetanol de segunda geração a partir de hidrolisados de bagaço de cana-de-açúcar contendo xilose e glicose
Beneficiário:Jaciane Lutz Ienczak
Modalidade de apoio: Auxílio à Pesquisa - Regular