FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL
(A Peer Review Journal)
e–ISSN: 2408–5162; p–ISSN: 2048–5170
keywords: Acid hydrolysis, Algae biomass, Lignocellulosics, RSM, concentration, models
This paper reports a study on the production of furfural from algae biomass, optimizing the process parameters using Response Surface Methodology (RSM). Central composite design (CCD) was employed to determine the effect of process parameters: temperature (65 – 140oC), time (30 – 90 min), and concentration of 1MH2SO4 (35 mL/g-70 mL/g) on the yield of furfural. The regression analysis showed good fit of the experimental data to the second-order polynomial (Quadratic model) with coefficient of determination (R2) value of 0.9807 and model Fvalue of 56.54. The model was found to be significant as its Predicted R2 of 0.8771 was in close agreement with the Adjusted R2 of 0.9634. Its probability value was greater than F value. A good fit of the model was further validated as F-value of 4.17 was found to be greater than the P-value of 0.0714. Furfural yield of 69.29% was predicted by the model at optimum condition: reaction temperature of 140oC, H2SO4quantity of 35.02 mL and reaction time of 65.3 min.Validation experiments conducted at the optimum conditions gave an experimental value of 67.10% which was in close agreement with the predicted value of 69.26%.
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