OPTIMIZATION OF PHENOL DEGRADATION FROM Pseudomonas aeruginosa (NCIM 2074) USING RESPONSE SURFACE METHODOLOGY

In the present investigation, Pseudomonas aeruginosa (NCIM 2074) which can utilize phenol as a sole source of carbon and energy was selected for the degradation of phenol. Experiments were made as a function of carbon source (glucose), inorganic nitrogen (ammonium chloride) and metal ion concentration (zinc ion). In this work, a 23full factorial Central Composite Design was employed combining with Response Surface Methodology (RSM) to optimize the process parameters for the degradation of phenol by P.aeruginosa (NCIM 2074). It was shown that a second order polynomial regression model could properly interpret the experimental data with an R2 value of 0.9669 and an F-value of 32.52295 based on which the maximum degradation of phenol was estimated up to 80.45% within the range examined.