Optimisation of Fermentation Process Variables for Bioethanol Production from Pinus patula Chipped Wood Residue Using Saccharomyces cerevisiae ATCC 96581

摘要

The study explored the optimization of process variables for bioethanol production from steam exploded Pinus patula chipped wood residue (225°C, 0.5 SO_2, 5min.) by Saccharomyces cerevisiae ATCC 96581. Bioethanol is one of the potential biofuels for replacing fossil fuels for the purpose of mitigating their environmental and economic impacts. The optimisation was evaluated using Response Surface Method through Central Composite Face-centred (CCF) design, which supports quadratic polynomial models by encoding 2~3 three levels of each factor (inocula, pH, and temperature) while keeping other factors (sugar, time and nutrients) constant. The CCF design contained a total number of 17 experiments in which the first eight rows were the corner experiments of the basic tube, the next six rows, were the so-called axial points, and the last three rows were the replicated centre-points. The response (ethanol) data were fitted to a Multiple Linear Regression (MLR) model. The statistical analysis of the model was performed through the analysis of variance (ANOVA). The optimizer analysis revealed temperature of 29.9 °C, an inoculum dose of 9.9 v/v, and pH of 5.1 as the optimal processing variables which yielded ethanol concentration of 16.51g/L while other factors were kept constant.