Statistical Approaches for Optimization of Medium Components for Fungal Phytase

In order to increase the output of fungal enzymes, many techniques are used, including fermentation methods, medium optimization, strain improvements, etc. We define in this chapter an ideal situation based on a statistical approach to increase the output of phytase from heat stressed Rhizopus oryzae. The cost effective fermentation method is primarily based on medium optimization, which helps in increasing the production of biomolecules. For phytase development by heat stressed R. We used Plackett-Burman design (PBD) oryzae in submerged fermentation, initially adopted to evaluate the medium components (mannitol, K2HPO4, Na2HPO4 and sodium phytate) most affected by phytase development. The central composite design (CCD) of the response surface methodology estimated the optimum levels (RSM). It was determined that the interactive effects of phosphorus sources on phytase yield were important. Application of the Genetic Algorithm (GA)/Nelder-Mead downhill simplex (NMDS) with the RSM model has been shown to be a more successful approach to Rhizopus oryzae’s optimization of phytase output. A 7.95-fold increase in phytase production (12640 ± 1450 Ul-1) was achieved at the optimum GA expected concentration of (gl-1); mannitol 22.8, K2HPO4 5.18, Na2HPO4 3.25, and sodium phytate 9.68 compared to preoptimized phytase yield (1589 ± 135 Ul-1). In the bioreactor tests, the enzyme yields of the shake flask were sustainable; however, the time needed for full output of phytase was significantly reduced (288h to 96h), resulting in a 3.32-fold increase in productivity.

Author(s) Details

Richa Rani
PG Department of Zoology, Patna University, Patna, India.

Sudhir Kumar
Department of Zoology, Kisan College, Sohsarai, Patliputra University, Patna, India.

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