Ultrasound-assisted extraction of oil from Calophyllum inophyllum seeds: Statistical optimisation using Box-Behnken design

Ultrasound-assisted extraction (uae) of oil from calophyllum inophyllum linn seeds was studied and the effects of four factors (extraction time,ultrasound power,extraction temperature,and liquid to solid (l/s) ratio) on the oil yield were optimised by using a statistical tool. specifically,the optimisation was carried out by employing a box- behnken statistical experimental design. the experimental data were fitted to a quadratic model using multiple regression analysis giving high determination coefficient value (r2) of 0.984. the predicted oil yield was optimum (56.2%) when the extraction were conducted for 21 min,210 w ultrasound power,42°c extraction temperature and 21 ml/g l/s ratio. based on the model summary statistics,the experimental values agreed closely with the predicted values,indicating an excellent fit of the model used. the results indicated that response surface methodology (rsm) was effective for optimising the uae conditions of oil from c. inophyllum seeds. © penerbit universiti sains malaysia,2016.