The kinetics of supercritical fluid extraction (SFE) of clove and vetiver oils using carbon dioxide as solvent was
studied, in order to establish an efficient method to predict extraction curves on large scale. The mass transfer model of
Sovová was used to adjust the experimental SFE data, which were obtained at 100 bar and 35 °C for clove and 200 bar
and 40 °C for vetiver, using extraction columns of different geometry and solvent flow rates. Some other process parameters,
such as bed density and porosity, solvent to feed ratio and solvent velocity were kept constant from one experiment
to another, in order to verify if the mass transfer coefficients adjusted by the model varied. The results show that the
model of Sovová was able to predict an overall extraction curve for clove from data obtained with twenty times less raw
material, since the mass transfer coefficients remained the same and the predicted curves were similar to the observed
ones. For vetiver, the simulation was not as effective, probably due to the effects of transport properties on the process.