A novel proteolytic fungus, statistical screening of medium components for amino acids production | ||
Mansoura Journal of Biology | ||
Volume 52, Issue 3, October 2021, Pages 31-38 PDF (1.09 M) | ||
Document Type: Original Article | ||
DOI: 10.21608/mjb.2021.460020 | ||
Authors | ||
Marwa Isam* 1; Gamal Mahmod Abd-Elfatah2; Mohamed Refaat Eshahawy3; WesamEldin Ismail Ali Saber4 | ||
1Assistant Researcher in Microbiology Dep Agricultural Research Center – Giza, Egypt | ||
2Professor of Microbiology, Botany Dep Faculty of Science, Mansoura Univ | ||
3Assistant Professor of Radiation Microbiology Atomic Energy Authority (AEA), Egypt | ||
4Microbiology Dep Agricultural Research Center – Giza, Egypt | ||
Abstract | ||
Soybean as a cheap and aliquot agricultural by-products have the ability in applying the entire SSF process. Evaluation of the effective conditions for amino acid production, the statistical experimental design of Pl ackett–Burman was applied for the improvement of protease yield by Aspergillus flavus using soybean residuals as raw materials. Plackett–Burman design had been applied to value the effects of six variables: independent variable soybean residuals as a substrate, spore suspension, the incubation period, pH, MgSO4.7H2O, (NH4)2SO4 at high concentration for all factors as 13 day, 6 mL/g and 2.2 mL/g respectively. The key factors influencing protease production and production of free amino acids were identified as incubation period, the concentration of KH2PO4, and concentration of (NH4)2SO4. The statistical experimental design was proven as an effective pathway to obtain optimum parameters for amino acids production | ||
Keywords | ||
Aspergillus flavus; Plackett–Burman design; protease; soybean; plant residuals | ||
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