India						                            
                            
						
 Research Article
												Application of Central Composite Design and Artificial Neural Network for the Optimization of Fermentation Conditions for Lipase Production by Rhizopus arrhizus MTCC 2233 						
Author(s): Aravindan Rajendran and Viruthagiri ThangaveluAravindan Rajendran and Viruthagiri Thangavelu             
						
												
				 The response surface optimization strategy was used to enhance the lipase production by Rhizopus arrhizus MTCC 2233 in submerged fermentation. Various vegetable oils were experimented as an inducer using the optimized medium to study the influence on lipase production, and corn oil was found to be the best inducer for lipase production by Rhizopus arrhizus. The optimization of fermentation conditions, temperature, initial pH and agitation speed was carried out using corn oil as the inducer. Statistical analysis of the experimental data showed that the temperature, agitation speed, quadratic effects of temperature, initial pH and agitation speed and interactive effects of temperature and agitation speed are significant parameters that affect lipase production. The optimum fermentation conditions were achieved at 32°C; pH 6.0 and agitation speed of 107 rpm with th.. Read More»
				  
												DOI:
												 10.4172/2155-9821.1000118 
																	  
Journal of Bioprocessing & Biotechniques received 3351 citations as per Google Scholar report