| Optimization of Medium Constituents for the Production of L-Glutamic Acid by Brevibacterium Roseum Using Response Surface Methodology | ||
| Murali Yugandhar Nikku1, Sri Rami Reddy Donthireddy2, Asha Immanuel Raju Chaduvula3, Kiran Babu Uppuluri4, Sarat Babu Imandi5, Kiran Kumar Nalla6 and V. R. Ravi Kumar Dasari5, (1)Chemical Engineering Department, Andhra University, Andhra University, Visakhapatnam - 530 003, AP, INDIA, Visakhapatnam, 530003, India, (2)Chemical Engineering Department, Andhra University, Visakhapatnam, 530003, India, (3)Chemical Engineering, Andhra University, Andhra University, Visakhapatnam - 530 003, AP, INDIA, Visakhapatnam, 530003, India, (4)Nagarjuna University, Bapatla Engineering College, Bapatla, India, (5)Chemical Engg, Center for Biotechnology, Room No: 109, Andhra University, Visakhapatnam, 530003, India, (6)Chemical Engg, Center for Energy Engg, Room No: 109, Andhra University, Visakhapatnam, 530003, India Abstract Statistical experimental design was used to optimize the conditions viz. Ethanol, Ammonium phosphate and Biotin concentration of L-Glutamic acid from Brevibacterium roseum NCIM 2238 by submerged fermentation. Maximum L-Glutamic acid concentration of 53.01621 g/l was obtained. The optimum conditions were found to be ethanol concentration of 5.3646 %v/v, ammonium phosphate of 0.7081 %w/v and biotin concentration of 1.6735 µg/ml. Glutamic acid production was also effectively promoted by optimizing the medium composition using Response Surface Methodology (RSM). Basically, this optimization process involves three major steps: performing the statistically designed experiments, estimating the coefficients in the mathematical model, and predicting the response and checking the adequacy of the model. Thus, by using SmF process with Brevibacterium roseum, the Central Composite Design (CCD) was found to be the most favorable strategy for investigating with respect to L-Glutamic acid production. Extended Abstract Status: Not Uploaded | ||