In this work, the solubilities of some anti-inflammatory (nabumetone,
phenylbutazone and salicylamide) and statin drugs (fluvastatin, atorvastatin,
lovastatin, simvastatin and rosuvastatin) were correlated using the
Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) with
one-parameter mixing rule and commonly used cubic equations of state
Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) combining with van-der
Waals-1 parameter (VDW1) and van-der Waals-2 parameters (VDW2) mixing rules.
The experimental data for studied compounds were taken from literature at
temperature and pressure in ranges (308-348 K) and (100-360 bar)
respectively. The critical properties required for the correlation with PR
and SRK were estimated using Gani and Noonalol contribution group methods
whereas, PC-SAFT pure-component parameters; segment number (m), segment
diameter (?) and energy parameter (?/k) have been estimated by tihic?s group
contribution method for nabumetone. For phenylbutazone and salicylamide those
parameters were determined using a linear correlation. For statin drugs,
PC-SAFT parameters were fitted to solubility data, and binary interaction
parameters (kij and lij) have been obtained by fitting the experimental data.
The result was found to be in good agreement with the experimental data and
showed that PC-SAFT approach can be used to model solid-SCF equilibrium with
better correlation accuracy than cubic equations of state.
Modeling Hydrofluoroolefins with the Cubic Plus Association and Perturbed-Chain Statistical Associating Fluid Theory Equations of State
