Pengfei Wang, Xuan Cao, Renting Li, Bo Yang, Lei Li and Jun Li*,
{"title":"Phase Behavior and Microscopic Mechanisms of Separation of n-Hexane and Methylcyclopentane Mixtures with Deep Eutectic Solvents","authors":"Pengfei Wang, Xuan Cao, Renting Li, Bo Yang, Lei Li and Jun Li*, ","doi":"10.1021/acs.jced.4c0065010.1021/acs.jced.4c00650","DOIUrl":null,"url":null,"abstract":"<p ><i>n</i>-Hexane is widely used in industry, and methylcyclopentane is often generated as a byproduct during its production. The small boiling point difference (3.08 K) between these two compounds makes their separation challenging using traditional distillation methods. Extractive distillation, known for its high efficiency and energy savings, is effective in separating azeotropic and near-azeotropic mixtures. Deep Eutectic Solvents (DESs), a new class of green solvents, have shown promise in chemical separations. This study investigates the use of DESs as potential entrainers for the separation of <i>n</i>-hexane and methylcyclopentane in extractive distillation. The COSMO-SAC model was used to select two DESs: DES1 (tetrabutylammonium bromide (TBAB):decanoic acid = 1:2) and DES2 (TBAB:oleic acid = 1:3). Vapor–liquid equilibrium (VLE) data for the ternary system (<i>n</i>-hexane-methylcyclopentane-DES) were measured at 101.3 kPa. The results showed that both DESs effectively separated <i>n</i>-hexane and methylcyclopentane at a 25 mol % concentration, with DES1 demonstrating superior performance. The VLE data were fitted using the Non-Random Two-Liquid (NRTL) model, yielding satisfactory results. Quantum chemistry calculations further elucidated the molecular mechanisms behind the superior separation performance of DES1.</p>","PeriodicalId":42,"journal":{"name":"Journal of Chemical & Engineering Data","volume":"70 2","pages":"1023–1037 1023–1037"},"PeriodicalIF":2.0000,"publicationDate":"2025-01-29","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.4c00650","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
n-Hexane is widely used in industry, and methylcyclopentane is often generated as a byproduct during its production. The small boiling point difference (3.08 K) between these two compounds makes their separation challenging using traditional distillation methods. Extractive distillation, known for its high efficiency and energy savings, is effective in separating azeotropic and near-azeotropic mixtures. Deep Eutectic Solvents (DESs), a new class of green solvents, have shown promise in chemical separations. This study investigates the use of DESs as potential entrainers for the separation of n-hexane and methylcyclopentane in extractive distillation. The COSMO-SAC model was used to select two DESs: DES1 (tetrabutylammonium bromide (TBAB):decanoic acid = 1:2) and DES2 (TBAB:oleic acid = 1:3). Vapor–liquid equilibrium (VLE) data for the ternary system (n-hexane-methylcyclopentane-DES) were measured at 101.3 kPa. The results showed that both DESs effectively separated n-hexane and methylcyclopentane at a 25 mol % concentration, with DES1 demonstrating superior performance. The VLE data were fitted using the Non-Random Two-Liquid (NRTL) model, yielding satisfactory results. Quantum chemistry calculations further elucidated the molecular mechanisms behind the superior separation performance of DES1.
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.