<p>This study experimentally measured the liquid–liquid equilibrium (LLE) data for the cyclohexanol + phenol + water system at three specific temperatures (298.15&#xa0;K, 308.15&#xa0;K, and 318.15&#xa0;K) under standard atmospheric conditions, and these data were subsequently utilized to compute the distribution coefficients (<i>D</i>) and separation factors (<i>S</i>), which served as critical indicators for evaluating cyclohexanol's performance in extracting phenol. Quantitative analysis indicates that for systems with phenol concentrations above 0.0015, cyclohexanol is not only a significantly better extractant than cyclohexanone, but also has stronger temperature adaptability. Additionally, the non-random two liquid model and the universal quasi-chemical model were employed for correlation analysis of the experimental data, yielding binary interaction parameters and root-mean-square deviation (RMSD) values, with the RMSD consistently remaining below 0.32 across all tested temperatures, thereby validating the strong agreement between the model predictions and the experimental data.</p>

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Liquid–Liquid Equilibrium for Cyclohexanol Extraction of Phenol from Aqueous Solutions at (298.15, 308.15, and 318.15) K

  • Weibin Cai,
  • Hui Meng,
  • Qibo Zhou,
  • Minzhi Zeng,
  • Hengjun Gai

摘要

This study experimentally measured the liquid–liquid equilibrium (LLE) data for the cyclohexanol + phenol + water system at three specific temperatures (298.15 K, 308.15 K, and 318.15 K) under standard atmospheric conditions, and these data were subsequently utilized to compute the distribution coefficients (D) and separation factors (S), which served as critical indicators for evaluating cyclohexanol's performance in extracting phenol. Quantitative analysis indicates that for systems with phenol concentrations above 0.0015, cyclohexanol is not only a significantly better extractant than cyclohexanone, but also has stronger temperature adaptability. Additionally, the non-random two liquid model and the universal quasi-chemical model were employed for correlation analysis of the experimental data, yielding binary interaction parameters and root-mean-square deviation (RMSD) values, with the RMSD consistently remaining below 0.32 across all tested temperatures, thereby validating the strong agreement between the model predictions and the experimental data.