Optimization Studies of Medium Components for Protease Production from Pseudomonas thermaerum GW1

Abstract

A Pseudomonas strain was isolated from soil of a regular feather dumping site of Ghazipur poultry processing plant, Ghaziabad, India. Strain was identified as Pseudomonas thermaerum GW1 after biochemical and 16S rDNA sequencing studies and was found to produce protease extracellularly in the media. The present investigation was carried out to study the application of Resilient Backpropagation (RPROP) algorithm to forecast constituent’s viz., Casein, NaCl and Glucose for optimized production of protease. Variation of three factors and three levels according to Box-Behnken design was used for optimization procedure. Casein according to RPROP was observed as an insignificant variable and does not have any effect on protease production. However, Glucose and NaCl had a profound effect on protease for enhanced yield. Optimum production of protease forecasted according to ANN studies could be generated when factors Glucose is 3.75 gms, NaCl is 0.1875 gms and Casein is 1.25 gms. These combinations yielded a specific activity of 4.6 units /mg protein. This predicted medium composition can be used for maximum protease production by the new strain GW1. We report validation of the predicted values generated by ANN studies.