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

IF 2.4 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY
Journal of Chemical & Engineering Data Pub Date : 2026-10-08 Epub Date: 2026-09-16 DOI:10.1021/acs.jced.6c00348
Gabrielly Miyazaki, Abdulalim Ibrahim, Christophe Coquelet
{"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,&nbsp;Abdulalim Ibrahim,&nbsp;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.

苯酚(C6H5OH) +正己烷(C6H14)二元体系液-液和固-液平衡的相关性及基于NRTL和cosmos模型的预测
本文研究了苯酚(C6H5OH) +正己烷(C6H14)二元体系的热力学相行为,这是一种与精炼和煤转化分离过程相关的混合物。液-液平衡(LLE)和固-液平衡(SLE)数据测量大气压,提供了一个独立的、内部一致的数据集,验证和补充了现有的文献数据。该体系具有较强的非理想性,具有较宽的混相间隙,较高的临界溶液温度(UCST)为325.62 K,在SLE区域具有较深的冰点下降。数据使用非随机双液(NRTL)模型进行关联,其中一组温度相关的二元相互作用参数同时回归到两个平衡态,给出了完整相图的热力学一致表示。利用DFT计算生成的分子σ-谱(M06-2X/6-311+G(2d,p))对cosmos - rs和cosmos - sac(2010)模型的预测能力进行了评估。相关性NRTL模型能较好地描述elle区域,而完全预测cosmos - sac模型对SLEliquidus的再现精度(RMSD = 0.0133)优于相关性NRTL模型(RMSD = 0.0347)。这些结果表明,尽管nrtll仍然是严格过程模拟的标准,但基于cosmos的方法为筛选极性-非极性体系中的溶解度提供了可靠的替代方法,因为实验数据很少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Chemical & Engineering Data
Journal of Chemical & Engineering Data 工程技术-工程:化工
CiteScore
5.20
自引率
19.20%
发文量
324
审稿时长
2.2 months
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书