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Evaluation of Supercritical Fluid Extraction Model Parameters by Monte-Carlo Methods

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Abstract

The problem of evaluation of model parameters for supercritical fluid extraction of oil from ground plant materials with high initial oil contents was studied. The information content of laboratory experimental data was analyzed by the Markov chain Monte Carlo method. The accuracy of evaluation of the main effective parameters of the model was determined for the apparent diffusion coefficient, saturation concentration of oil in the solvent, and the total content of target compounds in the raw material. Various parameterizations of the inverse problem were considered. Given the initial oil content, the diffusion coefficient can be evaluated from the individual overall extraction curve corresponding to coarse grinding. At the same time, simultaneous evaluation of all the three parameters is possible only with combined analysis of at least two curves corresponding to fine and coarse grinding. The experiment with fine grinding allows identification of only the total content of the target compounds and the saturation concentration, but cannot be used to evaluate the apparent diffusion coefficient.

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ACKNOWLEDGMENTS

We are grateful to A.A. Zaikin, associate professor, Mathematical Statistics Department, Kazan State University, for useful discussions during the preparation of this article.

Funding

This study was financially supported by the Russian Foundation for Basic Research (grant nos. 19-31-60013 and 18-41-160001 (creation of an algorithm for constructing a distribution sample and its verification)) and partially by the Program for Strategic Academic Leadership at Kazan (Volga) Federal University.

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Authors and Affiliations

  1. Institute of Mechanics and Engineering, Kazan Scientific Center, Russian Academy of Sciences, 420111, Kazan, Russia

    A. A. Salamatin

  2. Kazan Federal University, 420008, Kazan, Russia

    A. A. Salamatin & A. S. Khaliullina

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  1. A. A. Salamatin
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Correspondence to A. A. Salamatin.

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Translated by L. Smolina

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Salamatin, A.A., Khaliullina, A.S. Evaluation of Supercritical Fluid Extraction Model Parameters by Monte-Carlo Methods. Theor Found Chem Eng 56, 69–83 (2022). https://doi.org/10.1134/S0040579521060117

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