The solubility of grape (Vitis vinifera L.) seed oil in supercritical CO2 was measured in the temperature range 313-343 K and pressure range 20-50 MPa using the dynamic technique. Several data and global trends were reported. The results show that, at constant temperature, the solubility increases with the increase in pressure, while the effect of the temperature is different for low and high pressure. The experimental data were modeled by eight density-based models and a thermodynamic model based on the Peng-Robinson equation of state. By best fitting procedures, the “free parameters” of the various models were calculated: in general, all the tested models have proved to be able to predict the solubility of grape seed oil in supercritical CO2. Differences in model capabilities have been discussed based on the main characteristics of the various models, evidencing their distinct and common features. The predictive capability of the thermodynamic model was comparable to that of the density-based models.
Solubility of grape seed oil in supercritical CO2: Experiments and modeling / Duba, Kurabachew Simon; Fiori, Luca. - In: JOURNAL OF CHEMICAL THERMODYNAMICS. - ISSN 0021-9614. - STAMPA. - 2016:100(2016), pp. 44-52. [10.1016/j.jct.2016.04.010]
Solubility of grape seed oil in supercritical CO2: Experiments and modeling
Duba, Kurabachew Simon;Fiori, Luca
2016-01-01
Abstract
The solubility of grape (Vitis vinifera L.) seed oil in supercritical CO2 was measured in the temperature range 313-343 K and pressure range 20-50 MPa using the dynamic technique. Several data and global trends were reported. The results show that, at constant temperature, the solubility increases with the increase in pressure, while the effect of the temperature is different for low and high pressure. The experimental data were modeled by eight density-based models and a thermodynamic model based on the Peng-Robinson equation of state. By best fitting procedures, the “free parameters” of the various models were calculated: in general, all the tested models have proved to be able to predict the solubility of grape seed oil in supercritical CO2. Differences in model capabilities have been discussed based on the main characteristics of the various models, evidencing their distinct and common features. The predictive capability of the thermodynamic model was comparable to that of the density-based models.File | Dimensione | Formato | |
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