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Optimization of Xylanase Production from Aspergillus foetidus in Soybean Residue.

Luana CunhaRaquel MartarelloPaula Monteiro SouzaMarcela Medeiros de FreitasKleber Vanio Gomes BarrosEdivaldo Ximenes Ferreira FilhoMauricio Homem-de-MelloPérola de Oliveira Magalhães
Published in: Enzyme research (2018)
Enzymatic hydrolysis is an important but expensive step in the process to obtain enzyme derived products. Thus, the production of efficient enzymes is of great interest for this biotechnological application. The production of xylanase by Aspergillus foetidus in soybean residues was optimized using 2 × 23 factorial designs. The experimental data was fitted into a polynomial model for xylanase activity. Statistical analyses of the results showed that variables pH and the interaction of pH and temperature had influenced the production of xylanase, with the best xylanase production level (13.98 U/mL) occurring at fermentation for 168 hours, pH 7.0, 28°C, and 120 rpm.
Keyphrases
  • nitric oxide
  • machine learning
  • saccharomyces cerevisiae
  • data analysis