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Optimization of Medium Components for the Production of Phytase by <em>R. Oryzae</em> using Statistical Approaches | OMICS International | Abstract
ISSN: 2155-6199

Journal of Bioremediation & Biodegradation
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Optimization of Medium Components for the Production of Phytase by R. Oryzae using Statistical Approaches

Richa Rani1*, Sidharth Arora1, Sudhir Kumar2 and Sanjoy Ghosh1
1Department of Biotechnology, Indian Institute of Technology, India
2Department of Biochemistry, All India Institute of Medical Sciences, India
Corresponding Author : Richa Rani
Department of Biotechnology
Indian Institute of Technology Roorkee, India
Tel: +91–1332–285424
Fax: +91–1332–273560
E-mail: richa3biotech@yahoo.co.in
Received July 31, 2013; Accepted November 18, 2013; Published November 25, 2013
Citation: Rani R, Arora S, Kumar S, Ghosh S (2013) Optimization of Medium Components for the Production of Phytase by R. Oryzae using Statistical Approaches. J Bioremed Biodeg S18:003. doi:10.4172/2155-6199.S18-003
Copyright: © 2013 Rani R, et al. This is an open-a ccess article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

The aim of this study was to determine the optimum levels of nutrients for the production of phytase by heat stressed Rhizopus oryzae in submerged fermentation. Plackett-Burman Design (PBD) was initially adopted for evaluating the medium components (mannitol, K2HPO4, Na2HPO4 and sodium phytate) affecting the phytase production most. The optimum levels were estimated by Central Composite Design (CCD) of Response Surface Methodology (RSM). The interactive effects of phosphorus sources were found to have significant effect on phytase yield. Application of Genetic Algorithm (GA)/Nelder-Mead Downhill Simplex (NMDS) with RSM model was proved to be more efficient approach for optimization of phytase production by Rhizopus oryzae. A 7.95-fold increase in phytase production (12640 ± 1450 Ul-1) was achieved at the GA-predicted optimum concentration of (gl-1); mannitol 22.8, K2HPO4 5.18, Na2HPO4 3.25, and sodium phytate 9.68, compared with the phytase yield before optimization (1589 ± 135 Ul-1). In the bioreactor studies, the enzyme yields were sustainable to that of the shake flask however, the time required for maximum phytase production was significantly reduced (288 h to 96 h), resulting in an increase in productivity by 3.32-fold.

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