XU Qingqing, SU Baogen, CHEN Wei, et al. Solubility prediction for cholesterol and desmosterol in mixed solvents via NRTL-SAC and COSMO-RS[J]. CIESC Journal, 2013, (10): 3505-3513.
XU Qingqing, SU Baogen, CHEN Wei, et al. Solubility prediction for cholesterol and desmosterol in mixed solvents via NRTL-SAC and COSMO-RS[J]. CIESC Journal, 2013, (10): 3505-3513.DOI: 10.3969/j.issn.0438-1157.2013.10.003.
Solubility of cholesterol and desmosterol in mixed solvents was predicted via two thermodynamic models
NRTL-SAC and COSMO-RS.With experimental data as the basis
average relative deviation(ARD)was used to evaluate the prediction effects of the models.To fill the blank of solubility data
the solubilities of two sterols at 298.2 K in mixed solvent with different compositions were determined using the static method combined with high performance liquid chromatography(HPLC).The ARDs by NRTL-SAC for two sterols in mixed solvents are less than 50.58%.The prediction results by COSMO-RS are extremely dissatisfied
but the predicted values satisfactorily agree with the experimental values by using an experimental datum.The total ARDs for cholesterol and desmosterol in n-hexane + ethanol mixed solvents decrease to 12.77% and 21.32% from 80.57% and 82.30%
respectively.The results show that NRTL-SAC from limited experimental data and COSMO-RS with only one experimental datum can be used for solubility prediction for two sterols
and are useful in rapid selection of suitable solvents for industrial separation and purification processes.