Correlation and Prediction of Liquid–Liquid and Solid-Liquid Equilibrium for the Phenol (C6H5OH) + n-Hexane (C6H14) Binary System Using the NRTL and COSMO-Based Models
{"title":"Correlation and Prediction of Liquid–Liquid and Solid-Liquid Equilibrium for the Phenol (C6H5OH) + n-Hexane (C6H14) Binary System Using the NRTL and COSMO-Based Models","authors":"Gabrielly Miyazaki, Abdulalim Ibrahim, Christophe Coquelet","doi":"10.1021/acs.jced.6c00348","DOIUrl":null,"url":null,"abstract":"<p>This study investigates the thermodynamic phase behavior\r\nof the\r\nbinary system phenol (C<sub>6</sub>H<sub>5</sub>OH) + <em>n-</em>hexane (C<sub>6</sub>H<sub>14</sub>), a mixture relevant to separation\r\nprocesses in refining and coal conversion. Liquid–liquid equilibrium\r\n(LLE) and solid–liquid equilibrium (SLE) data were measured\r\nat atmospheric pressure, providing an independent, internally consistent\r\ndataset that verifies and complements the available literature data.\r\nThe system exhibits strong non-ideality, with a broad miscibility\r\ngap, an upper critical solution temperature (UCST) of 325.62 K, and\r\na deep freezing-point depression in the SLE region. The data were\r\ncorrelated using the Non-Random Two-Liquid (NRTL) model, with a single\r\nset of temperature-dependent binary interaction parameters regressed\r\nsimultaneously to both equilibria, giving a thermodynamically consistent\r\nrepresentation of the complete phase diagram. The predictive capabilities\r\nof the COSMO-RS and COSMO-SAC (2010) models were evaluated using molecular\r\nσ-profiles generated via DFT calculations (M06-2<em>X</em>/6-311+G(2d,p)). While the correlated NRTL model best described the\r\nLLE region, the fully predictive COSMO-SAC model reproduced the SLE\r\nliquidus with an accuracy (RMSD = 0.0133) better than the correlated\r\nNRTL model (RMSD = 0.0347). These results suggest that while NRTL\r\nremains the standard for rigorous process simulation, COSMO-based\r\napproaches offer a reliable alternative for screening solubility in\r\npolar–nonpolar systems where experimental data are scarce.</p>","PeriodicalId":42,"journal":{"name":"Journal of Chemical & Engineering Data","volume":"71 10","pages":"4336–4348"},"PeriodicalIF":2.4000,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemical & Engineering Data","FirstCategoryId":"1","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.jced.6c00348","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/16 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the thermodynamic phase behavior
of the
binary system phenol (C6H5OH) + n-hexane (C6H14), a mixture relevant to separation
processes in refining and coal conversion. Liquid–liquid equilibrium
(LLE) and solid–liquid equilibrium (SLE) data were measured
at atmospheric pressure, providing an independent, internally consistent
dataset that verifies and complements the available literature data.
The system exhibits strong non-ideality, with a broad miscibility
gap, an upper critical solution temperature (UCST) of 325.62 K, and
a deep freezing-point depression in the SLE region. The data were
correlated using the Non-Random Two-Liquid (NRTL) model, with a single
set of temperature-dependent binary interaction parameters regressed
simultaneously to both equilibria, giving a thermodynamically consistent
representation of the complete phase diagram. The predictive capabilities
of the COSMO-RS and COSMO-SAC (2010) models were evaluated using molecular
σ-profiles generated via DFT calculations (M06-2X/6-311+G(2d,p)). While the correlated NRTL model best described the
LLE region, the fully predictive COSMO-SAC model reproduced the SLE
liquidus with an accuracy (RMSD = 0.0133) better than the correlated
NRTL model (RMSD = 0.0347). These results suggest that while NRTL
remains the standard for rigorous process simulation, COSMO-based
approaches offer a reliable alternative for screening solubility in
polar–nonpolar systems where experimental data are scarce.
期刊介绍:
The Journal of Chemical & Engineering Data is a monthly journal devoted to the publication of data obtained from both experiment and computation, which are viewed as complementary. It is the only American Chemical Society journal primarily concerned with articles containing data on the phase behavior and the physical, thermodynamic, and transport properties of well-defined materials, including complex mixtures of known compositions. While environmental and biological samples are of interest, their compositions must be known and reproducible. As a result, adsorption on natural product materials does not generally fit within the scope of Journal of Chemical & Engineering Data.