{"title":"Insights into Molecular Interactions in Binary and Ternary Mixtures of Propan-1-ol, Pyridine, and Benzene: An Experimental and Modeling Approach","authors":"Arbër Musliu, Kaltrinë Krasniqi, Tahir Arbneshi, Ariel Hernández, Naim Syla and Fisnik Aliaj*, ","doi":"10.1021/acs.jced.4c0067810.1021/acs.jced.4c00678","DOIUrl":null,"url":null,"abstract":"<p >Experimental densities and sound speeds at temperatures (293.15, 298.15, 303.15, 313.15, and 323.15 K) and refractive indices at 298.15 K under ambient pressure are reported for the first time for the ternary system {propan-1-ol + pyridine + benzene}, covering the full composition range. Corresponding binary subsystems were also investigated. The excess molar volume, excess isentropic compressibility, and excess refractive index, derived from experimental data, were correlated by using the Redlich−Kister and Cibulka equations for binary and ternary systems, respectively. The composition and temperature dependence of these properties provided insights into molecular interactions and structural effects within the mixtures. The perturbed chain statistical associating fluid theory equation of state modeled the densities of binary and ternary mixtures using a predictive approach. Schaaff’s collision factor theory and Nomoto’s relation modeled sound speeds, while Lorentz−Lorenz, Gladstone−Dale, Laplace, and Eykman mixing rules predicted refractive indices. The Jouyban−Acree model represents the composition and temperature dependence of the thermophysical properties. Ternary excess properties were compared with values predicted by binary contribution symmetric (Kohler and Muggianu) and asymmetric (Hillert and Toop) geometric models. Model accuracy was evaluated using statistical indicators, highlighting the suitability of theoretical and empirical approaches for describing the thermophysical properties in these mixtures.</p>","PeriodicalId":42,"journal":{"name":"Journal of Chemical & Engineering Data","volume":"70 2","pages":"934–952 934–952"},"PeriodicalIF":2.0000,"publicationDate":"2025-02-05","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.4c00678","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Experimental densities and sound speeds at temperatures (293.15, 298.15, 303.15, 313.15, and 323.15 K) and refractive indices at 298.15 K under ambient pressure are reported for the first time for the ternary system {propan-1-ol + pyridine + benzene}, covering the full composition range. Corresponding binary subsystems were also investigated. The excess molar volume, excess isentropic compressibility, and excess refractive index, derived from experimental data, were correlated by using the Redlich−Kister and Cibulka equations for binary and ternary systems, respectively. The composition and temperature dependence of these properties provided insights into molecular interactions and structural effects within the mixtures. The perturbed chain statistical associating fluid theory equation of state modeled the densities of binary and ternary mixtures using a predictive approach. Schaaff’s collision factor theory and Nomoto’s relation modeled sound speeds, while Lorentz−Lorenz, Gladstone−Dale, Laplace, and Eykman mixing rules predicted refractive indices. The Jouyban−Acree model represents the composition and temperature dependence of the thermophysical properties. Ternary excess properties were compared with values predicted by binary contribution symmetric (Kohler and Muggianu) and asymmetric (Hillert and Toop) geometric models. Model accuracy was evaluated using statistical indicators, highlighting the suitability of theoretical and empirical approaches for describing the thermophysical properties in these mixtures.
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.