Microbiology Unit, Department of Pure and Applied Biology, Ladoke Akintola University of Technology, Ogbomosho, Oyo State, Nigeria.
The optimization of microbial growth for biotechnological purposes traditionally requires an approach that uses only one variable at a time, which has many drawbacks. This research used a completely randomized approach to optimize carbon and nitrogen nutrient requirements and growth factors (pH and temperature) for Pleurotus tuber-regium in order to optimally produce biomass and extracellular polysaccharide (EPS) in shake-flask cultures. An artificial neural network (ANN) module was used to simulate the fungus-growing process and hence determine optimal conditions. The experiments demonstrated the effectiveness of the EPS fraction from P. tuber-regium in preserving hepatic cells against paracetamol-induced damage. Totals of 0.699 g biomass and 0.291 g EPS per 100 mL medium were obtained, whereas the ANN predicted 0.750 g biomass and 0.300 g EPS per 100 mL medium, thereby achieving 93.20% predictability for biomass and 73.00% predictability for EPS. Conditions for optimal EPS and biomass production for P. tuber-regium were quite different. Rat hepatic cells that had been fortified with the EPS fraction from P. tuber-regium were effectively preserved against liver damage. By using a mathematical approach, this study established optimal fermentation conditions for mycelia biomass and EPS production by P. tuber-regium and the relevant biotechnological implications.
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