Statistical optimization
of alkaline-protease production from Nesterenkonia sp. K-15-9-6 isolated from the
Gulf of Khambhat, Gujarat, India
Arya Prashant S., Raval Shivani V., Rajput Kiransinh N., Panchal Rakesh R. and Raval
Vikram H.
Res. J. Biotech.; Vol. 20(3); 64-74;
doi: https://doi.org/10.25303/203rjbt064074; (2025)
Abstract
Alkaline proteases are by and large recognized as best-in-class industrially important
enzymes. This study explored the one variable at a time (OVAT), Plackett–Burman
(PB) and Response surface methodology (RSM)-central composite design (CCD) techniques
for optimization of the protease biosynthesis. The bacterium was previously isolated
from saline soil samples near the Gulf of Khambhat, Gujarat, India and identified
as Nesterenkonia sp. K-15-9-6. The independent process parameters (temperature,
pH, incubation time, inoculum volume, NaCl concentration, carbon and nitrogen sources)
for protease biosynthesis were optimized via OVAT to maximize the yields.
While statistically the protease biosynthesis was optimized using PB and RSM. The
maximum protease production (253.45 U/ml) was obtained at temperature 37 °C, pH
10.0, incubation time 48 h, gelatin 2% w/v, NaCl 2.5% w/v, peptone 1% w/v and inoculum
volume 3% v/v. Alkaline protease production showed a significant improvement (2.11-fold)
in yield, using statistical tools.
