Optimization of medium composition for alkaline protease production by Marinobacter sp. GA CAS9 using response surface methodology – A statistical approach

2014 ◽  
Vol 3 (2) ◽  
pp. 191-197 ◽  
Author(s):  
Ramamoorthy Sathish Kumar ◽  
Gnanakkan Ananthan ◽  
Antonyraj Selva Prabhu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Alkaline Protease ◽  
Statistical Approach ◽  
Medium Composition ◽  
Protease Production

Alkaline Protease Production Using Response Surface Methodology, Characterization and Industrial Exploitation of Alkaline Protease of Bacillus subtilis sp.

2017 ◽  
Vol 147 (5) ◽  
pp. 1204-1213 ◽  
Author(s):  
Fouzia Hussain ◽  
Shagufta Kamal ◽  
Saima Rehman ◽  
Muhammad Azeem ◽  
Ismat Bibi ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Bacillus Subtilis ◽  
Response Surface ◽  
Alkaline Protease ◽  
Protease Production

scholarly journals PHYSICAL OPTIMIZATION OF THERMOSTABLE ALKALINE PROTEASE BY E. COLI BL21 (DE3) PLYSS HARBORING 50A PROTEASE GENE USING RESPONSE SURFACE METHODOLOGY

2015 ◽  
Vol 78 (1) ◽  
Author(s):  
Nor Hidayah Bohari ◽  
Noor Azlina Ibrahim
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Alkaline Protease ◽  
Fermentation Process ◽  
Incubation Temperature ◽  
Protease Production ◽  
Coefficient Of Determination ◽  
Physical Factors ◽  
Protease Gene ◽  
Physical Optimization

Physical optimization is important for enzyme production by fermentation process. In general, fermentation process at optimal condition increases the expression and production level of enzyme to many times in comparison with their natural production. This study was focused on the optimization of the physical factors that influenced the thermostable alkaline protease production. The induction and incubation time were studied using conventional method while the other three factors which are incubation temperature, initial pH of medium and agitation speed were optimized by response surface methodology (RSM). The interaction effects among these factors were explained using response plot and the model adequacy was satisfactory as the coefficient of determination (R2) was 96.48%. The enhancement of thermostable protease from 197.83 U/ml to 325.89 U/ml was achieved using both conventional and statistical approach of response surface methodology (RSM). This present study proved that physical optimization significantly affects the protease production and the optimum physical condition obtained may applied in large scale process.

scholarly journals Optimization of medium composition for probiotic powder inoculum using the response surface methodology

2021 ◽  
Vol 788 (1) ◽  
pp. 012038
Author(s):  
Rohmatussolihat ◽  
R Ridwan ◽  
Y Widyastuti ◽  
N F Sari ◽  
R Fidryanto ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Medium Composition
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