A Comparative Application of Latin Hypercube Design and Box-Behnken Design Methods in Extracting Sesameoil

In the past decades, most researchers focus on process optimization and extraction methods to improve oil extraction from oilseeds. However, no information available on comparative analysis of different design methods to improve the process. The objective of this study was to evaluate the applicability of Latin hypercube design (LHD) and Box-Behnken Design (BBD) in oil extraction. Experimental oil yield, analysis of variance (ANOVA) of the model, and practical observation were used to compare the methods. The result shows both methods can supply adequate data for experiments. The range of oil yield is 26 - 41% for BBD and 31 - 41% for LHD. Analytically, the ANOVA result indicates that the model constructed of the LHD experiment has a better prediction of observed oil yield at a regression coefficient (R-2) of 0.98 and Root Mean Square Error (RMSE) of 0.4 while BBD has R(2)0.87 and RMSE 1.4. From the experiment result, BBD is more suit to design, efficient, and easier to extract oil. LHD has better design options, more flexible but less efficient in the experiment. For the given process conditions, theresult comparison empirically analyzed suggests both methods can be applied for oil extraction.