Extraction of sunflower oil with supercritical CO2: Experiments and modeling |
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| Affiliation: | 1. Cumhuriyet University, Faculty of Engineering, Department of Chemical Engineering, 58140 Sivas, Turkey;2. Ankara University, Faculty of Engineering, Department of Chemical Engineering, 06100 Tandoğan, Ankara, Turkey;1. Department of Chemical Engineering, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan;2. Department of Chemical Engineering, American University of Sharjah, P.O. Box 26666, Sharjah, United Arab Emirates;1. Programa de Pós-Graduação em Engenharia Química, Universidade Estadual de Maringá (UEM), Maringá, PR, Brazil;2. Programa de Pós-Graduação em Engenharia Química, Universidade Estadual do Oeste do Paraná (UNIOESTE), Toledo-PR, Brazil;3. Departamento de Tecnologia, Universidade Estadual de Maringá (UEM), Umuarama, PR, Brazil;1. Laboratoire de l’Ingénierie des Procédés de l’Environnement, Université Salah Boubnider Constantine 3, Algeria;2. Centre de Recherche Scientifique et Technique en Analyses Physico-chimiques-CRAPC- BP 384, Zone Industrielle Bou-Ismail RP 42004 Tipaza, Algérie |
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| Abstract: | Extraction of sunflower oil from sunflower seeds (Heliantus annuus L.) using supercritical CO2 was studied. The shrinking core model was applied to the modeling of the packed-bed extraction process. The experimental data were obtained for extraction conducted at the pressures of 20, 30, 40, 50 and 60 MPa; the temperatures of 313, 333 and 353 K, the CO2 flow rates of 1–4, and 6 cm3 CO2 min−1; the mean particle diameters of 0.23, 0.55, 1.09, 2.18 mm. The supercritical CO2 extraction process was modeled by a quasi steady state model as a function of extraction time, pressure, temperature, CO2 flow rate, and particle diameter. The supercritical CO2 extraction process. The intraparticle diffusion coefficient (effective diffusivity) De was used as adjustable parameter. The model using the best fit of De was correlated the data satisfactorily. |
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