期刊
JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY
卷 29, 期 7, 页码 1061-1070出版社
KOREAN SOC MICROBIOLOGY & BIOTECHNOLOGY
DOI: 10.4014/jmb.1904.04013
关键词
Poly(gamma-glutamic acid); L-glutamic acid; Bacillus sp. FBL-2; optimization; response surface methodology
资金
- National Research Foundation of Korea (NRF) - Ministry of Education [2017R1D1A1B03032906]
- Yeungnam University [217A061045]
- National Research Foundation of Korea [2017R1D1A1B03032906] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
In the present study, the optimization of poly(gamma-glutamic acid) (gamma-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 gamma-PGA production and was utilized to select the most significant nutrients affecting the yield of gamma-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 gamma-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 gamma-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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