2020
DOI: 10.1038/s41598-020-76986-3
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Investigation of COSMO-SAC model for solubility and cocrystal formation of pharmaceutical compounds

Abstract: In this study, a predictive model named COSMO-SAC was investigated in solid/liquid equilibria for pharmaceutical compounds. The examined properties were the solubility of drug in the pure and mixed solvents, octanol/water partition coefficient, and cocrystal formation. The results of the original COSMO-SAC model (COSMO-SAC (2002)) was compared with a semi-predictive model named Flory–Huggins model and a revised version of the COSMO-SAC (COSMO-SAC (2010)). The results indicated the acceptable accuracy of the CO… Show more

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Cited by 23 publications
(12 citation statements)
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“…The root-mean-square-error (RMSE) based on logarithmic scale for the predictive PC-SAFT EOS was 1.435. The calculated RMSE for the predictive PC-SAFT EOS was less than the reported RMSE (4.389) for COSMO-SAC by Mahmoudabadi and Pazuki 16 . The RMSEs for COSMO-RS model was 1.412.…”
Section: Resultscontrasting
confidence: 69%
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“…The root-mean-square-error (RMSE) based on logarithmic scale for the predictive PC-SAFT EOS was 1.435. The calculated RMSE for the predictive PC-SAFT EOS was less than the reported RMSE (4.389) for COSMO-SAC by Mahmoudabadi and Pazuki 16 . The RMSEs for COSMO-RS model was 1.412.…”
Section: Resultscontrasting
confidence: 69%
“…The predictive PC-SAFT EOS was of object in the current study. The COSMO-SAC results were derived from Mahmoudabadi and Pazuki 16 . The COSMO-RS results were obtained in this study utilizing COSMOtherm software.…”
Section: Resultsmentioning
confidence: 99%
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