Statistical optimization of production conditions of alkaline pectin lyase from Bacillus cereus using response surface methodology

Alkaline pectin lyase finds applications in the degumming and retting of plant fibres, textile industry and pectic wastewater treatment where it degrades highly methylesterified pectin without prior action of any other pectinase. Response surface methodology (RSM) has been frequently utilized for the optimization of production process of industrially important enzymes from microbes. In the present work, fermentation conditions for the production of pectin lyase from Bacillus cereus were optimized using the factorial and central composite design of RSM. The cubic order polynomial regression model was found to be adequate and significant with a determination coefficient R² of 0.9505 (p?