Phase Behavior and Microscopic Mechanisms of Separation of n-Hexane and Methylcyclopentane Mixtures with Deep Eutectic Solvents

IF 2.1 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY Journal of Chemical & Engineering Data Pub Date : 2025-01-29 DOI:10.1021/acs.jced.4c00650
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,&nbsp;Xuan Cao,&nbsp;Renting Li,&nbsp;Bo Yang,&nbsp;Lei Li and Jun Li*,&nbsp;","doi":"10.1021/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":2.1000,"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.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
深共晶溶剂分离正己烷和甲基环戊烷混合物的相行为和微观机理
正己烷在工业上有广泛的应用,而甲基环戊烷在其生产过程中经常作为副产物产生。这两种化合物之间的小沸点差(3.08 K)使得使用传统蒸馏方法分离它们具有挑战性。萃取精馏以高效节能著称,是分离共沸和近共沸混合物的有效方法。深共晶溶剂(DESs)是一类新型的绿色溶剂,在化学分离中具有广阔的应用前景。研究了DESs作为萃取精馏分离正己烷和甲基环戊烷的潜在夹带剂的应用。采用cosmos - sac模型选择DES1(四丁基溴化铵:癸酸= 1:2)和DES2(四丁基溴化铵:油酸= 1:3)两种des。在101.3 kPa下测量了正己烷-甲基环戊烷- des三元体系的气液平衡(VLE)数据。结果表明,在25 mol %的浓度下,DES1均能有效分离正己烷和甲基环戊烷,其中DES1的分离效果更好。采用非随机双液(NRTL)模型拟合VLE数据,得到满意的结果。量子化学计算进一步阐明了DES1优越分离性能背后的分子机制。
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 去求助
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.
期刊最新文献
Issue Publication Information Issue Editorial Masthead Subatmospheric P-T-x-y Measurements and Modeling for the Butan-1-ol/Butan-2-ol + Oct-1-ene Systems in the Range of T = (323.2–363.2) K Density Data and Calculation Methods for Hydrogen-Blended Natural Gas Containing Neopentane Isobaric Vapor–Liquid Equilibrium and Intermolecular Interactions in Benzene + Ethanol + Ionic Liquid Ternary Systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1