Modeling for the extraction of sesame seed oil

The purpose of this research is to study about modeling of supercritical carbon dioxide extraction using sesame seed. The objectives of this study are to determine the effect of parameters on the extraction rate and also to find the best mathematical model for extraction of sesame seed oil. In this study there are 3 models that being tested, which are broken and intact cell (BIC) model, shrinking core (SC) model and the last one is diffusion layer theory (DLT) model. The experimental results shows that the extraction yield increased with increasing pressure and slightly increased with an increase in CO₂ flow rate but decreased with increasing temperature. The extraction data were described by the models and the calculations were compared with those experimentally obtained. From comparison of experimental data and models calculation, the shrinking core model could describe the experimental data well for all extraction condition compared to the the BIC model and DLT could only describe the data at lower extraction yields well with the average absolute relative deviation (AARD) value for SC model range from 6.42 to 8.54 while SC and DLT model have a range from 6.48 to 14.6.