Factorial Design and Response Surface Optimization for Enhancing a Biodesulfurization Process

Based on five levels of full factorial design, response surface methodology was used for modeling, optimization, and studying the interactive effects of two variables, nitrogen source and carbon co-substrate, in a batch process for dibenzothiophene biodesulfurization, using a new Gram-positive bacterial isolate R. erythropolis HN2 (accession no. KF018282). The optimum operating conditions were found to be 0.35g/L yeast extract and 0.09M glycerol.