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Prediction of Solubility of Sodium Valproate in Supercritical Carbon Dioxide: Experimental Study and Thermodynamic Modeling

Gholamhossein SodeifianDepartment of Chemical Engineering, Faculty of Engineering, University of Kashan, Kashan 87317-53153, IranNedasadat Saadati ArdestaniDepartment of Chemical Engineering, Faculty of Engineering, University of Kashan, Kashan 87317-53153, IranSeyed Ali SajadianDepartment of Chemical Engineering, Faculty of Engineering, University of Kashan, Kashan 87317-53153, IranMohammad Reza GolmohammadiDepartment of Chemical Engineering, Faculty of Engineering, University of Arak, Arak 38156-8-8349, IranAlireza FazlaliDepartment of Chemical Engineering, Faculty of Engineering, University of Arak, Arak 38156-8-8349, Iran
2020en
ABI

Аннотация

The key factor for designing of micro- and nanosized particles production processes is determination of a solid solute solubility. In the current investigation, for the first time, the solubility of sodium valproate in supercritical CO2 was investigated. Solubility investigations were conducted at different temperatures (308.15–338.15 K) and pressure values (12–27 MPa). Sodium valproate provided mole fraction solubility values of 0.05 × 10–5 to 3.71 × 10–5 within the experimental range studied. For the studied system, data correlation has been examined by equations of state (EoSs) including Soave–Redlich–Kwong (SRK), Peng–Robinson (PR), and Estevez models as well as SAFT-VR and four semi-empirical models (Kumar and Johnston, Méndez-Santiago and Teja, Jouyban et al., Sodeifian et al., Bartle et al., Chrastil’s models and Reddy and Garlapati models). Statistical criteria (AARD, Radj, and F-value) were used to appraise their precision. The analysis of variance (ANOVA) also indicated the superior performance of the PR, SRK, Estevez, and SAFT-VR EoSs. Furthermore, density-based models generally exhibited excellent agreement with the experimental data.

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