During the past decades, processing and engineering the drug particle using new proposed methods have gained an increasing attention. Among the different methods, using supercritical fluids technology is one of the most desired one. In this way, measuring and knowing the solubility of pharmaceuticals in supercritical fluids are one of the most critical parameters must be systematically categorized as a function of pressures and temperatures. Regarding this fact, solubility of fluvoxamine maleate in supercritical carbon dioxide in wide ranges of temperature (308 338 K) and pressure (200 400 bar) was measured using a static method coupled with gravimetric method which is in the range of 1.23 10 5 to 4.45 10 4 based on the mole fraction. Finally, the solubility data are modeled using four different semiempirical density-based correlations namely Mendez Santiago-Teja (MST), Bartle et al., Chrastil and Kumar and Johnston (KJ) models. The obtained results reveal that amongst the utilized correlations, Chrastil model leads to the most accurate results compared with the other examined correlations with average absolute relative deviation percent (AARD%) of 10.8%. Besides, the solubility data are modeled using Peng Robinson equation of state which no satisfactory results are obtained since the AARD% for all of the examined isotherms are in the range of 58.01 67.04%.
Compounds
#
Formula
Name
1
C19H25F3N2O6
fluvoxamine maleate
2
CO2
carbon dioxide
Datasets
The table above is generated from the ThermoML associated json file (link above).
POMD and RXND refer to PureOrMixture and Reaction Datasets. The compound numbers are included in properties, variables, and phases, if specificied;
the numbers refer to the table of compounds on the left.
Type
Compound-#
Property
Variable
Constraint
Phase
Method
#Points
POMD
2
1
Mole fraction - 1 ; Fluid (supercritical or subcritical phases)
Temperature, K; Fluid (supercritical or subcritical phases)
Pressure, kPa; Fluid (supercritical or subcritical phases)