Application of Response Surface Methodology (rsm) – Ccd for the Production of Laccases Using Submerged Fermentation

Laccases are multi-copper oxidases widely distributed in plants, animals, insects and microorganism. These enzymes catalyze the one-electron oxidation of a wide range of organic and inorganic substances, including mono, di and poly phenols, aminophenols, methoxy phenols, aromatic amines and ascobate with the concomitant four electron reduction of oxygen to water. Laccase has the focus of much attention because of its diverse applications, such as delignification of lignocellulosics, cross linking of polysaccharides, bioremediation application etc. The main objective of the paper is to optimize the condition for maximum production of laccase enzyme produced from bacteria – Pseudomonas aeruginosa using Response surface methodology. Laccases activity was estimated by Bourbonnais and Paice method and the temperature, pH were optimized separately, the design of experiment for nutritional requirement was designed to 50 run and the activity level were estimated using Response surface methodology. Models were developed by Central composite design (CCD) with the selected parameters. The regression analysis (R2) of RSM showed 97%. The development of rapid and efficient method for media preparation was established using RSM-CCD.