Optimized Production of Poly(-Glutamic acid) By Bacillus sp. FBL-2 through Response Surface Methodology Using Central Composite Design
2019
In the present study, the optimization of poly(γ-glutamic acid) (γ-PGA) production by Bacillus
sp. FBL-2 was studied using a statistical approach. One-factor-at-a-time method was used to
investigate the effect of carbon sources and nitrogen sources on γ-PGA production and was
utilized to select the most significant nutrients affecting the yield of γ-PGA. After identifying
effective nutrients, response surface methodology with central composite design (CCD) was
used to obtain a mathematical model to identify the optimum concentrations of the key
nutrients (sucrose, L-glutamic acid, yeast extract, and citric acid) for improvement of γ-PGA
production. The optimum amount of significant medium components appeared to be sucrose
51.73 g/l, L-glutamic acid 105.30 g/l, yeast extract 13.25 g/l, and citric acid 10.04 g/l. The
optimized medium was validated experimentally, and γ-PGA production increased
significantly from 3.59 g/l (0.33 g/l/h) to 44.04 g/l (3.67 g/l/h) when strain FBL-2 was
cultivated under the optimal medium developed by the statistical approach, as compared to
non-optimized medium.
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