posted on 2024-03-05, 13:34authored byHaomin Wu, YingYing Jiang, Chen Shen, Yuanhui Ji
Measuring and modeling the solubility of drugs in different
solvent
systems is helpful to guide the selection of appropriate solvents
at various stages of drug formulation development. In this work, the
gravimetrical method was used to determine the solubility data of
oxaprozin (OXA) in different compositions of water/organic solvents
(methanol and ethanol) binary mixtures within the range of 293.15
to 333.15 K. Subsequently, the differential scanning calorimetry method
was used to measure the solubility of the drug in polymers (Polyethylene
Glycol 6000 and Polyvinylpyrrolidone K30) at above 400 K. Then, the
solubility of OXA in ultrapure water and polymer aqueous solution
was acquired by UV spectrophotometry or HPLC within a temperature
range of 303.15 to 323.15 K. Finally, the experimental values were
compared with the calculated values from the Perturbed-Chain Statistical
Associating Fluid Theory (PC-SAFT) to investigate the prediction accuracy
of this model in different complex mixed solvent systems. The average
relative deviations (ARD) were used to evaluate the model performance
of PC-SAFT. Furthermore, PC-SAFT combined with solid–liquid
equilibrium theory not only modeled the phase behavior between pure
or mixed solvents and drugs independent of the molecular weight of
the solvent but also did not require any experimental data or model
parameters from the ternary system to predict the phase behavior of
OXA in binary solvents. The results of this work illustrate that PC-SAFT
is a beneficial model in drug development.