Key words: supercritical fluid extraction, shrinking core model, polydisperse packed bed, Bayesian approach, Monte Carlo-method
The apparent process parameters (diffusion coefficient, saturation concentration of oil in the solvent, initial oil content in the raw material) were inferred using the Bayesian approach and the Monte-Carlo method for Markov chains for the process of supercritical fluid extraction (SFE) of oil from ground plant material with high initial oil content. The shrinking core approach was used for data interpretation. The accuracy of parameter inference is substantially increased when at least two experiments corresponding to fine and coarse grinding are included in the design of experiment
doi:10.34984/SCFTP.2021.16.2.011