MODELING AND OPTIMIZATION OF GLUTAMIC ACID PRODUCTION USING MIXED CULTURE OF Corynebacterium glutamicum NCIM2168 AND Pseudomonas reptilivora NCIM2598 |
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| Authors: | Rajaram Shyam Kumar Innasi Muthu Ganesh Moorthy Rajoo Baskar |
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| Institution: | 1. Department of Biotechnology , Centre for Research, Bioprocess and Downstream Processing Laboratory, Kamaraj College of Engineering and Technology , Virudhunagar , Tamilnadu , India kingshyam2003@yahoo.co.in;3. Department of Biotechnology , Centre for Research, Bioprocess and Downstream Processing Laboratory, Kamaraj College of Engineering and Technology , Virudhunagar , Tamilnadu , India;4. Department of Chemical Engineering , School of Chemical and Food Sciences, Kongu Engineering College, Perundurai , Erode , Tamilnadu , India |
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| Abstract: | In this study, a hybrid system of response surface methodology followed by genetic algorithm has been adopted to optimize the production medium for L-glutamic acid fermentation with mixed cultures of Corynebacterium glutamicum and Pseudomonas reptilovora. The optimal combination of media components for maximal production of L-glutamic acid was found to be 49.99 g L?1 of glucose, 10 g L?1 of urea, 18.06% (v/v) of salt solution, and 4.99% (v/v) of inoculum size. The experimental glutamic acid yield at optimum condition was 19.69 g L?1, which coincided well to the value predicted by the model (19.61 g L?1). Using this methodology, a nonlinear regression model was developed for the glutamic acid production. The model was validated statistically and the determination coefficient (R 2) was found to be 0.99. |
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| Keywords: | genetic algorithm glutamic acid mixed culture optimization response surface methodology |
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