Abstract
This work studies the effect of the substrate particle size distribution and stratification on the SuperCritical (SC) CO2 extraction of oilseeds. Cumulative SC-CO2 extraction curves of small (S, dpe = 2 mm) and large (L, dpe = 4 mm) cylindrical cranberry seed pellets were modeled simultaneously using a Linear Driving Force (LDF) model empirically modified to consider the experimental oil partition isotherm and using oil solubility in SC-CO2 (Csat) and effective oil diffusivity in the substrate (De) at 40 °C and 30 MPa as best-fitting parameters. The mathematical model was adapted for a substrate with a particle size distribution and experimentally validated for random and stratified 1:1 (w/w) mixtures of S and L pellets. Cumulative extraction curves of substrates with same measurement of central tendency (Sauter mean diameter) changed depending on the particle size distribution, because of the negative impact of slow-extracting large particles, particularly at the vessel exit.
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