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http://dx.doi.org/10.4491/KSEE.2017.39.10.568

Optimization of Organosolv Pretreatment of Waste Wood for Lignin Extraction  

Lee, Hyunsu (School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology)
Kim, Young Mo (School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology)
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Abstract
The purpose of this study was to optimize experimental conditions (time ($X_1$) (ranging of 26.36 - 93.64 min), concentration of sulfuric acid ($X_2$) (ranging of 0-2.5%) and temperature ($X_3$) (ranging of $136.4-203.6^{\circ}C$) for an organosolv pretreatment process to extract lignin from waste wood. The resulting quadratic model equation using RSM (response surface methodology) represented y (lignin yield) = $-79.89+0.91X_1+9.8X_2-2.54{\times}10^{-3}X_1{^2}-2.11X_2{^2}$. The $R^2$ (coefficient of determination) value of 0.8531 for a model indicates this model has statistically significant predictors at the 10% levels. The predictive results optimized by quadratic model produced a lignin yield of 12.46 g/100 g of dry wood under conditions of $178.2^{\circ}C$ and 2.32% $H_2SO_4$. The lignin yield was more affected by the acid catalyst concentrations than the reaction temperature, but the reaction time was not an influential factor for improving lignin extraction from waste wood in this organosolv pretreatment. According to ANOVA (analysis of variance), the significance probability (p-value) of model was smaller than 0.001 and simulation of obtained model equations showed a good reproducibility based on actual organosolv tests under optimal conditions.
Keywords
Waste wood; Lignin; Organosolv Process; Optimization; CCD (Central Composite Design); RSM (Response Surface Methodology);
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