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ABSTRACT
This research work aimed to investigate the optimization of the extraction of ginger oil from ginger (Zingiber Officinale) using response surface methodology (RSM). The experiment was performed using a soxhlet extractor with ethanol as the extraction solvent. Optimization of the extraction process was carried out with the aid of Design Expert 13, considering the effect of three variables, extraction temperature, extraction time, and volume of solvent, on ginger oil yield. The oil yield calculated from the experiment ranged from 2 to 19%, while varying temperature (30 – 70 oC), time (30 – 90 min), and volume of solvent (300 – 400 ml). The experimental values were imported into the software for analysis. The quadratic model was selected and used to carry out the ANOVA test. The model was found to be significant, with an F value of 70.74, p value of less than 0.05. Furthermore, the Adjusted R-Squared value was 0.9751 indicating that the selected model was significant. Numerical optimization using BBD was performed to determine the optimal conditions at which the yield of ginger oil would be maximized. The optimal conditions for extraction temperature, extraction time, and volume of solvent were 69.6 ºC, 87.42 min, and 368.38 ml, respectively, with a maximized yield of 19.902%. A confirmatory experiment was performed using these optimal conditions and the oil yield was 19.33%, indicating that the predicted model was valid.
