Production, purification and industrial applications of cellulase from aspergillus sp. AMA

Abstract

Thermophilic/thermotolerant fungal isolates were isolated from composting soils/ solid industrial waste collected from different regions of India (Jammu and Kashmir, Amritsar and Ahmedabad). The strains were identified morphologically, microscopically and on the basis of rDNA sequence of ITS1-5.8S-ITS2 region were found to produce distinct and multiple endoglucanases and and#946;-glucosidases. The cellulolytic enzyme extracts from these strains were tested for their ability to deink printed composite paper waste. A. fumigatus fresenius which produce endoglucanases apparently devoid of cellulose binding module (CBM) resulted in significant deinking of composite paper waste (53%) with increased brightness of 4.32% ISO and improved physical properties of recycled paper sheet. A. fumigatus fresenius was taken up further for optimization of production of multicomponent enzymes. Using one factor at a time approach, the culture under optimized conditions produced 238.0, 9.7, 312 and 3792 (U/g DW substrate) of endoglucanase (EG), Fpase, and#946;-glucosidase (and#946;-G) and xylanase, respectively. Further optimization of enzyme production using statistical approach employing Box-Behnken design of experiments was carried out to study the effect of beef extract concentration, tween-80 concentrations and temperature on enzyme production. The R2 values computed for endoglucanase, and#946;-glucosidase, Fpase, cellobiohydrolase and xylanase ranged between 97.9% and 99.9%, showing their fitness in predicting the effect of beef extract concentration, tween-80 concentrations and temperature on enzyme production under SSF by A. fumigatus Fresenius (AMA). It was found that optimal enzyme activities, i.e., 240.2, 9.73, 470, 15 (units/g DW of substrate) of endoglucanase, Fpase, and#946;-glucosidase, and CBH were respectively produced under optimized culture conditions i.e., tween-80 (0.24%), temperature (37oC) and beef extract (0.25%). Using the combination of one factor at a time and RSM optimization approach, 2.43, 2.88 and 1.87 folds increase in the levels