engleski

Optimization of sugar beet pulp enzymatic treatment for different bioprocesses

Sugar beet pulp (SBP) was hydrolyzed with combinations of commercially available fungal enzymes (Ultrazym AFP-L, Viscozyme L, Pectinase and Cellulase) and wood-rotting fungi (Trametes multicolor, Sclerotium rolfsii and Neurospora crassa) lignocellulolytic enzymes. Among the tested enzymes, the plant pathogen Sclerotium rolfsii was found to be the best-performing fungus and it was chosen for further research. Current research activities were focused on the optimization of the hydrolytic process using a factorial design approach and response surface methodology (RSM). The effect of various experimental parameters and their interactions with each other was evaluated using those methods and consequently the optimum conditions were accomplished. The set-up parameters were the enzyme loads (1, 2, 3, 4 μL total enzymes / mg SBP), pH (3, 4, 5, 6, 7) and temperature (20, 30, 40, 50 oC). Using statistical design methodology, it was observed dramatically reduce of the required enzyme loads to only 2 μL total enzymes / g SBP, at the optimal pH and temperature value. Optimal parameters of hydrolytic process would apply in the further investigation of SBP hydrolysis to obtain more economical process for biofuels, biopolymers or biochemicals production.

Sugar beet pulp; Enzymatic hydrolysis; Lignocellulolytic enzymes; Optimization; Response surface methodology

nije evidentirano