Sequential optimization approach for enhanced production of poly(γ-glutamic acid) from newly isolated Bacillus subtilis.
Year: 2009
Type: article
Abstract: A bacterial strain of marine origin showing production of poly(g-glutamic acid) (PGA) has been identified by taxonomical and 16S rRNA studies as Bacillus subtilis. A sequential optimization approach was applied for improving the PGA production. The effect of car-bon sources, nitrogen sources and pH on the production of PGA was investigated by one factor-at-a-time method. Plackett-Burman design was then adopted to select the most im-portant nutrients influencing the yield of PGA. After identifying the most significant nutri-ents, response surface methodology (RSM) was used to develop a mathematical model to identify the optimum concentrations of the key nutrients for higher PGA production, and confirm its validity experimentally. PGA production was further improved by supporting the medium with a-ketoglutaric acid. The PGA production increased from 7.64 to 25.38 g/L by using the sequential optimization methods. Key words: poly(g-glutamic acid), Bacillus subtilis, biopolymer, response surface methodol-ogy
Authors: Ishwar B. Bajaj, Rekha S. Singhal
Institutions: Institute of Chemical Technology, University of Mumbai
Language: English
Subfield: Applied Microbiology and Biotechnology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W1510561693