Prediction of Solubility of Sodium Valproate in Supercritical Carbon Dioxide: Experimental Study and Thermodynamic Modeling
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 d...
Gespeichert in:
Veröffentlicht in: | Journal of chemical and engineering data 2020-04, Vol.65 (4), p.1747-1760 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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, R adj, 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. |
---|---|
ISSN: | 0021-9568 1520-5134 |
DOI: | 10.1021/acs.jced.9b01069 |