(579e) Optimization for Technological Conditions of Magnetic Ferric Oxide/SO42- Biomass-based Solid Acid Catalyzed Hydrolysis Corn Straw to Prepare Levulinic Acid Using Response Surface Methodology
AIChE Annual Meeting
2017
2017 Annual Meeting
2017 International Congress on Energy
USA-China Progress in Biomass Conversion Technologies I
Wednesday, November 1, 2017 - 1:58pm to 2:20pm
The optimization of the process conditions for preparing levulinic acid which used magnetic ferric oxide/SO42- biomass-based solid acid as catalyst to was investigated using response surface methodology (RSM). Four parameters, namely those of Quality of Liquid-Solid Ratio (QLSR), Amount of Catalyst (AC), Hydrolysis Temperature (HT) and Hydrolyzation Duration (HD) were chosen as variables. The mathematical model of quadratic polynomial on the levulinc acid of P value was less than 0.0001, the loss of quasi P value is less than 0.01, the considerably high R2 value (0.9969) indicated the statistical significance of the model and reached extremely significant level; CV = 3 % < 10 %, the experiment had most high credibility and accuracy. The optimal process conditions for preparing the levulinic acid yield (LAY) were determined by analyzing the response surfaceâs three-dimensional surface polt and contour polt, and by solving the regression model equation with Design Expert software. The Box-Behnken design (BBD) was used to optimize the process conditions, which showed that the most favorable dosages of QLSR, AC, HT, and HD were 17.2:1 (V/W, mL:g), 3 g, 249 °C, 67.3 min, respectively. Under the optimized conditions, the maximum LAY was 15.82 %, and the predictive value was 15.81 %, which the relative deviation between them was 0.01 %, this model is good repeatability. This shows that using this model to optimize the technology of magnetic ferric oxide/SO42- biomass-based solid acid catalyst corn stalk of hydrolysis to prepare of levulinic acid is feasible.
Keywords: Magnetic Ferric Oxide/SO42- Biomass-based Solid Acid; Levulinic Acid; Optimization; Response Surface Methodology; Box-Behnken design