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Statistical optimization of a thermostable and neutral glucoamylase production by a thermophilic mold Thermomucor indicae-seudaticae in solid-state fermentation
Authors:Sanjeev?Kumar,T.?Satyanarayana  author-information"  >  author-information__contact u-icon-before"  >  mailto:tsnarayana@vsnl.net"   title="  tsnarayana@vsnl.net"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author
Affiliation:(1) Department of Microbiology, University of Delhi South Campus, 110 021, Benito Juarez Road, New Delhi, India
Abstract:Glucoamylase production by a thermophilic mold Thermomucor indicae-seudaticae was optimized in solid-state fermentation (SSF) by conventional lsquoone variable at a time approachrsquo and further statistically using response surface methodology (RSM). Glucoamylase secretion was strongly affected by three variables (moisture ratio, inoculum level and incubation time), and therefore, these three factors were further optimized using response surface methodology. The glucoamylase production in flasks containing wheat bran, under the conditions optimized by RSM, was 455 ± 23 U/g of dry moldy bran (DMB), while the predicted value by a polynomial model was 433.30 U/g DMB. The enzyme titre (455 ± 23 U/g DMB) attained in the validation experiment of this investigation is higher than those reported in the literature. When the large-scale production was attempted in enamel trays, a marginally lower enzyme titres were attained. An overall 1.8-fold increase in glucoamylase production was achieved in SSF due to statistical optimization in comparison with that of lsquoone variable at a timersquo approach (250 ± 13 U/g DMB). A 10-fold enhancement in glucoamylase production was recorded in SSF as compared to that in submerged fermentation.
Keywords:Glucoamylase  response surface methodology  solid-state fermentation  Thermomucor indicae-seudaticae  thermophilic mold
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