Title:
Parametric Optimization of the Pre-Treatment of South African Corncob in Molten ZNCL2 Tetra Hydrate Salt
Author(s):
Daramola, M.O., Awosusi, A.A., Adeleke, R., Ayeni, A.O.
Document(s):
Paper
Poster
Abstract:
Lignocellulosic biomass, the most abundant renewable resource on earth has been regarded as the significant feedstock material for the bio-based economy. For example, corn cob (a lignocellulosic biomass) contains sufficient amount of cellulosic materials (cellulose and hemicellulose) suitable as fermentable sugars and lignin that are built in a compact structure which makes these polymers difficult to access for bioconversion. Pre-treatment is then applied to make the saccharide accessible to enzymatic hydrolysis. However, efficiency of the pre-treatment process is hampered by the process conditions, amongst other factors. As a follow-up to the recent report on the effect of water of crystallization of ZnCl2 hydrated salt on the pre-treatment of South African corn cob, this study reports the parametric effect and optimization of the pre-treatment of South African corn cob in ZnCl2 tetrahydrate salt using response surface methodology approach. The process variables considered during the pre-treatment were temperature, time and ZnCl2 loading/concentration. Data obtained from 30 experimental runs obtained via 2-3 Box-Behnken DoE were used to develop a predictive second-order polynomial regression model that was used to explain the parametric effect (both main and interactive) of the process variables on the sugar yield. Consequently, the model was employed to optimize the process conditions. Results of the one-way ANOVA on the model reiterated the statistical significance of the model to explain the parametric effect with a reliability of 92.5 %, suggesting an error margin of < 8%. The optimization study, via multi-objective numerical optimisation approach, yielded optimal time, temperature, and solvent-to-solid ratio of 90 minutes, 107 oC, and 18 g/g , respectively, for the recovery of a maximum sugar yield of 90%.
Keywords:
lignocellulosic biomass, pretreatment, RSM, corncob, optimisation
Topic:
Biomass Resources
Subtopic:
Biomass feedstock, residues and by-products
Event:
26th European Biomass Conference and Exhibition
Session:
1DV.3.3
Pages:
333 - 338
ISBN:
978-88-89407-18-9
Paper DOI:
10.5071/26thEUBCE2018-1DV.3.3
Price:
FREE
