Scientific Reports (Mar 2021)

A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds

  • Samane Zarei Mahmoudabadi,
  • Gholamreza Pazuki

DOI
https://doi.org/10.1038/s41598-021-85942-8
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 18

Abstract

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Abstract The present study was conducted to develop a predictive type of PC-SAFT EOS by incorporating the COSMO computations. With the proposed model, the physical adjustable inputs to PC-SAFT EOS were determined from the suggested correlations with dependency to COSMO computation results. Afterwards, we tested the reliability of the proposed predictive PC-SAFT EOS by modeling the solubility data of certain pharmaceutical compounds in pure and mixed solvents and their octanol/water partition coefficients. The obtained RMSE based on logarithmic scale for the predictive PC-SAFT EOS was 1.435 for all of the solubility calculations. The reported values (1.435) had a lower value than RMSE for COSMO-SAC model (4.385), which is the same as that for RMSE for COSMO-RS model (1.412). The standard RMSE for octanol/water partition coefficient of the investigated pharmaceutical compounds was estimated to be 1.515.