A statistical approach to optimization of fermentative production of poly(gamma-glutamic acid) from Bacillus licheniformis NCIM 2324.
This paper reports on the optimization of poly(gamma-glutamic acid) (PGA) production by Bacillus licheniformis NCIM 2324 using a statistical approach. One-factor-at-a-time method was used to investigate the effect of carbon sources, nitrogen sources and pH on PGA production. Plackett-Burman design was adopted to select the most important nutrients influencing the yield of PGA. After identifying effective nutrients, response surface methodology 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 increased significantly from 5.27 to 26.12 g/l when the strain was cultivated in the optimal medium developed by using statistical approach, as compared to basal medium.
Bajaj
I B
IB
Food Engineering and Technology Department, Institute of Chemical Technology, University of Mumbai, Nathlal Parikh Marg, Matunga, Mumbai 400 019, India. ishbajaj1@yahoo.co.in
Lele
S S
SS
Singhal
R S
RS
D001407:Bacillus / Q000378:metabolism*; D019149:Bioreactors / Q000382:microbiology*; D002244:Carbon / Q000378:metabolism*; D020650:Combinatorial Chemistry Techniques / Q000379:methods*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D005285:Fermentation; D006863:Hydrogen-Ion Concentration; D008954:Models, Biological; D009584:Nitrogen / Q000378:metabolism*; D011099:Polyglutamic Acid / Q000031:analogs & derivatives* / Q000378:metabolism; D011786:Quality Control; D013227:Steam
D013227:Steam; C511775:poly(gamma-glutamic acid); D011099:Polyglutamic Acid; D002244:Carbon; D009584:Nitrogen