A systematic COSMO-RS study on mutual solubility of ionic liquids and C6-hydrocarbons

被引:8
|
作者
Qi, Chuxin [1 ]
Song, Zhen [1 ]
Cheng, Hongye [1 ]
Chen, Lifang [1 ]
Qi, Zhiwen [1 ]
机构
[1] East China Univ Sci & Technol, Sch Chem Engn, State Key Lab Chem Engn, 130 Meilong Rd, Shanghai 200237, Peoples R China
基金
中国国家自然科学基金;
关键词
C6-hydrocarbons; Ionic liquids; Mutual solubility; COSMO-RS; Structural effect analysis; COMPUTER-AIDED-DESIGN; THERMODYNAMIC PROPERTIES; CO2; CAPTURE; N-HEXANE; CYCLOHEXANE; SEPARATION; DESULFURIZATION; OXIDATION; BENZENE; SOLVENTS;
D O I
10.1016/j.gce.2022.11.002
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
When considering the usage of ionic liquids (ILs) for reactions and separations involving non-polar or weak-polar hydrocarbons, the knowledge of the mutual solubility behaviors of ILs and hydrocarbons is of the utmost importance. In this work, taking four typical C6-hydrocarbons namely benzene, cyclohexene, cyclohexane, and hexane as representatives, the mutual solubility of ILs and non-polar or weak-polar hydrocarbons are systematically studied based on the COSMO-RS model. The reliability of COSMO-RS for these systems is first evaluated by comparing experimental and predicted hydrocarbon-in-IL activity coefficient at infinite dilution and binary/ ternary liquid-liquid equilibria of related systems. Then, the mutual solubility of the four hydrocarbons and 13,650 ILs (composed by 210 cations and 65 anions) are predicted. The effect of different IL structural characteristics including alkyl chain length, cation family/symmetry/functional group, and anion on the IL-hydrocarbon mutual solubility behaviors are further analyzed by the analyses of interaction energy and screen charge distribution. The mutual solubility databases and the structural effects identified thereon could provide useful guidance for IL selection in related applications.
引用
收藏
页码:97 / 107
页数:11
相关论文
共 50 条
  • [41] Predicting the solubility of CO2 and N2 in ionic liquids based on COSMO-RS and machine learning
    Qin, Hongling
    Wang, Ke
    Ma, Xifei
    Li, Fangfang
    Liu, Yanrong
    Ji, Xiaoyan
    FRONTIERS IN CHEMISTRY, 2024, 12
  • [42] Effect of water on extractive desulfurization of fuel oils using ionic liquids:A COSMO-RS and experimental study
    Zhen Song
    Dian Yu
    Qian Zeng
    Jingjing Zhang
    Hongye Cheng
    Lifang Chen
    Zhiwen Qi
    ChineseJournalofChemicalEngineering, 2017, 25 (02) : 159 - 165
  • [43] Study of the toluene absorption capacity and mechanism of ionic liquids using COSMO-RS prediction and experimental verification
    Zhang, Chenglong
    Wu, Jin
    Wang, Ruixue
    Ma, En
    Wu, Liang
    Bai, Jianfeng
    Wang, Jingwei
    GREEN ENERGY & ENVIRONMENT, 2021, 6 (03) : 339 - 349
  • [44] Study of the toluene absorption capacity and mechanism of ionic liquids using COSMO-RS prediction and experimental verification
    Chenglong Zhang
    Jin Wu
    Ruixue Wang
    En Ma
    Liang Wu
    Jianfeng Bai
    Jingwei Wang
    Green Energy & Environment, 2021, 6 (03) : 339 - 349
  • [45] Effect of water on extractive desulfurization of fuel oils using ionic liquids: A COSMO-RS and experimental study
    Song, Zhen
    Yu, Dian
    Zeng, Qian
    Zhang, Jingjing
    Cheng, Hongye
    Chen, Lifang
    Qi, Zhiwen
    CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2017, 25 (02) : 159 - 165
  • [46] Ionic liquids as entrainers for the separation of azeotropic mixtures: Experimental measurements and COSMO-RS predictions
    Boli, Elenitsa
    Voutsas, Epaminondas
    CHEMICAL ENGINEERING SCIENCE, 2020, 219
  • [47] Stability of cellulase in ionic liquids: correlations between enzyme activity and COSMO-RS descriptors
    Pedersen, Jacob Nedergaard
    Perez, Bianca
    Guo, Zheng
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [48] Screening of alternative solvent ionic liquids for artemisinin: COSMO-RS prediction and experimental verification
    Cao, Yingying
    Wu, Zhixing
    Zhang, Ying
    Liu, Yanrong
    Wang, Hui
    JOURNAL OF MOLECULAR LIQUIDS, 2021, 338
  • [49] Evaluation of ionic liquids as solvent for aromatic extraction: Experimental, correlation and COSMO-RS predictions
    Calvar, Noelia
    Dominguez, Irene
    Gomez, Elena
    Palomar, Jose
    Dominguez, Angeles
    JOURNAL OF CHEMICAL THERMODYNAMICS, 2013, 67 : 5 - 12
  • [50] MoDoop: An Automated Computational Approach for COSMO-RS Prediction of Biopolymer Solubilities in Ionic Liquids
    Chu, Yunhan
    He, Xuezhong
    ACS OMEGA, 2019, 4 (01): : 2337 - 2343