1 research outputs found
<span style="font-size:15.0pt;mso-bidi-font-size:12.0pt" lang="EN-GB">Mathematical model-based optimization of physico-enzymatic hydrolysis of <i style="mso-bidi-font-style:normal">Pinus roxburghii </i>needles for the production of reducing sugars </span>
944-953The objective of this study
was to optimize the physico-enzymatic pretreatment of <i style="mso-bidi-font-style:
normal">P.roxburghii fallen foliage (needles) to produce reducing sugars
through response surface methodology (RSM) with central composite face centered
design (CCD). Under this, five parameters, i.e., concentration of laccase,
cellulose and xylanase, steam explosion pressure and incubation period, at
three levels with twenty six runs were taken into account. Cellulase, xylanase
and laccase enzymes with activity 4.563, 38.32 and 0.05 IU/mL, respectively,
were produced from locally isolated microbial strains. The analysis of variance
(ANOVA) was applied for the validation of the predicted model at 95% of
confidence level. This model predicted 334 mg/g release of reducing sugars on
treating P.roxburghii fallen foliage
with 1.18 mL of cellulose, 0.31 mL of xylanase and 0.01 mL of laccase, 14.39
psi steam explosion pressure and 24 h of incubation time. The experimental
results obtained were in good agreement to predicted values, making it a
reliable optimized model for five factors in combination to predict reducing
sugar yield for ethanol production for bio-fuel industry.
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