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Song Z, Chen J, Cheng J, Chen G, Qi Z. Computer-Aided Molecular Design of Ionic Liquids as Advanced Process Media: A Review from Fundamentals to Applications. Chem Rev 2024; 124:248-317. [PMID: 38108629 DOI: 10.1021/acs.chemrev.3c00223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
The unique physicochemical properties, flexible structural tunability, and giant chemical space of ionic liquids (ILs) provide them a great opportunity to match different target properties to work as advanced process media. The crux of the matter is how to efficiently and reliably tailor suitable ILs toward a specific application. In this regard, the computer-aided molecular design (CAMD) approach has been widely adapted to cover this family of high-profile chemicals, that is, to perform computer-aided IL design (CAILD). This review discusses the past developments that have contributed to the state-of-the-art of CAILD and provides a perspective about how future works could pursue the acceleration of the practical application of ILs. In a broad context of CAILD, key aspects related to the forward structure-property modeling and reverse molecular design of ILs are overviewed. For the former forward task, diverse IL molecular representations, modeling algorithms, as well as representative models on physical properties, thermodynamic properties, among others of ILs are introduced. For the latter reverse task, representative works formulating different molecular design scenarios are summarized. Beyond the substantial progress made, some future perspectives to move CAILD a step forward are finally provided.
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Affiliation(s)
- Zhen Song
- State Key laboratory of Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Jiahui Chen
- State Key laboratory of Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Jie Cheng
- State Key laboratory of Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Guzhong Chen
- State Key laboratory of Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Zhiwen Qi
- State Key laboratory of Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
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2
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Tillotson MJ, Diamantonis NI, Buda C, Bolton LW, Müller EA. Molecular modelling of the thermophysical properties of fluids: expectations, limitations, gaps and opportunities. Phys Chem Chem Phys 2023; 25:12607-12628. [PMID: 37114325 DOI: 10.1039/d2cp05423j] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
This manuscript provides an overview of the current state of the art in terms of the molecular modelling of the thermophysical properties of fluids. It is intended to manage the expectations and serve as guidance to practising physical chemists, chemical physicists and engineers in terms of the scope and accuracy of the more commonly available intermolecular potentials along with the peculiarities of the software and methods employed in molecular simulations while providing insights on the gaps and opportunities available in this field. The discussion is focused around case studies which showcase both the precision and the limitations of frequently used workflows.
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Affiliation(s)
- Marcus J Tillotson
- Department of Chemical Engineering, Imperial College London, London, UK.
| | | | | | | | - Erich A Müller
- Department of Chemical Engineering, Imperial College London, London, UK.
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3
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A REVIEW OF GROUP CONTRIBUTION MODELS TO CALCULATE THERMODYNAMIC PROPERTIES OF IONIC LIQUIDS FOR PROCESS SYSTEMS ENGINEERING. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2022.07.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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4
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Li G, Liu Q, Gui C, Lei Z. Thermodynamic and molecular insights into natural gas dehydration using choline chloride‐based deep eutectic solvents. AIChE J 2022. [DOI: 10.1002/aic.17662] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Guoxuan Li
- State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical Technology Beijing China
| | - Qinghua Liu
- State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical Technology Beijing China
| | - Chengmin Gui
- State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical Technology Beijing China
| | - Zhigang Lei
- State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical Technology Beijing China
- School of Chemistry and Chemical Engineering Shihezi University Shihezi China
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5
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Huang Y, Ouyang D, Ji Y. The Role of H‐bond in Solubilizing Drugs by Ionic Liquids: A Molecular Dynamics and Density Functional Theory Study. AIChE J 2022. [DOI: 10.1002/aic.17672] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Yiping Huang
- Jiangsu Province Hi‐Tech Key Laboratory for Biomedical Research, School of Chemistry and Chemical Engineering Southeast University Nanjing P. R. China
| | - Defang Ouyang
- State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical Sciences (ICMS), University of Macau Macao SAR China
| | - Yuanhui Ji
- Jiangsu Province Hi‐Tech Key Laboratory for Biomedical Research, School of Chemistry and Chemical Engineering Southeast University Nanjing P. R. China
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6
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Yu G, Wei Z, Chen K, Guo R, Lei Z. Predictive molecular thermodynamic models for ionic liquids. AIChE J 2022. [DOI: 10.1002/aic.17575] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Gangqiang Yu
- Faculty of Environment and Life Beijing University of Technology Beijing China
| | - Zhong Wei
- School of Chemistry and Chemical Engineering Shihezi University Shihezi China
| | - Kai Chen
- School of Chemistry and Chemical Engineering Shihezi University Shihezi China
| | - Ruili Guo
- School of Chemistry and Chemical Engineering Shihezi University Shihezi China
| | - Zhigang Lei
- School of Chemistry and Chemical Engineering Shihezi University Shihezi China
- State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical Technology Beijing China
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Kang X, Zhao Y, Chen Z. Atom surface fragment contribution method for predicting the toxicity of ionic liquids. JOURNAL OF HAZARDOUS MATERIALS 2022; 421:126705. [PMID: 34315017 DOI: 10.1016/j.jhazmat.2021.126705] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 06/25/2021] [Accepted: 07/18/2021] [Indexed: 06/13/2023]
Abstract
In this study, a novel method-atom surface fragment contribution (ASFC)-was proposed for assessing the properties of compounds. We developed a predictive model using the ASFC method based on the sigma surface areas (Sσ-surface) of fragments/groups for estimating the toxicity of ILs. A toxicity dataset of 140 ILs towards leukemia rat cell line (ICP-81) was gathered and employed to train and validate models. The Sσ-surface values of atoms in each group were firstly calculated from the COSMO profiles of cations and anions for ILs. Then the Sσ-surface values of 26 groups were obtained and used as input descriptors for modelling. The R2 and MSE of the built ASFC model were 0.924 and 0.071, respectively. Results indicate that the ASFC model developed by the new approach possesses great accuracy and reliability. In total, the ASFC method has extensive potential for the application of estimating diverse properties of ILs and other compounds due to its remarkable advantages.
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Affiliation(s)
- Xuejing Kang
- Department of Applied Ecology, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, Praha - Suchdol 16500, Czech Republic
| | - Yongsheng Zhao
- Department of Chemical Engineering, University of California, Santa Barbara, CA 93106-5080, United States.
| | - Zhongbing Chen
- Department of Applied Ecology, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, Praha - Suchdol 16500, Czech Republic.
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Sadeghi M, Cascella F, Tenberg V, Seidel-Morgenstern A, Lorenz H. Solubility analysis of pharmaceuticals guaifenesin, ketoprofen, and artemisinin in different solvents. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.117503] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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9
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Trenzado JL, Rodríguez Y, Gutiérrez A, Cincotti A, Aparicio S. Experimental and molecular modeling study on the binary mixtures of [EMIM][BF4] and [EMIM][TFSI] ionic liquids. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.116049] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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10
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Ge K, Ji Y. Novel Computational Approach by Combining Machine Learning with Molecular Thermodynamics for Predicting Drug Solubility in Solvents. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c00998] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Kai Ge
- Jiangsu Province Hi-Tech Key Laboratory for Biomedical Research, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, People’s Republic of China
| | - Yuanhui Ji
- Jiangsu Province Hi-Tech Key Laboratory for Biomedical Research, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, People’s Republic of China
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Assenine MA, Haddad B, Paolone A, Brandán SA, Goussem M, Villemin D, Boumediene M, Rahmouni M, Bresson S. Synthesis, thermal properties, vibrational spectra and computational studies of Trioctylmethylammonium bis(trifluoromethylsulfonyl)imide ionic liquid. J Mol Struct 2021. [DOI: 10.1016/j.molstruc.2021.130085] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Abstract
Since their conception, ionic liquids (ILs) have been investigated for an extensive range of applications including in solvent chemistry, catalysis, and electrochemistry. This is due to their designation as designer solvents, whereby the physiochemical properties of an IL can be tuned for specific applications. This has led to significant research activity both by academia and industry from the 1990s, accelerating research in many fields and leading to the filing of numerous patents. However, while ILs have received great interest in the patent literature, only a limited number of processes are known to have been commercialised. This review aims to provide a perspective on the successful commercialisation of IL-based processes, to date, and the advantages and disadvantages associated with the use of ILs in industry.
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Sa EJ, Lee BS, Park BH. Extraction of ethanol from mixtures with n-hexane by deep eutectic solvents of choline chloride + levulinic acid, + ethylene glycol, or + malonic acid. J Mol Liq 2020. [DOI: 10.1016/j.molliq.2020.113877] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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14
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How imidazolium‐based ionic liquids solubilize the poorly soluble ibuprofen? A theoretical study. AIChE J 2020. [DOI: 10.1002/aic.16940] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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15
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Selection rules for estimating the solubility of C4-hydrocarbons in imidazolium ionic liquids determined by machine-learning tools. J Mol Liq 2019. [DOI: 10.1016/j.molliq.2019.03.182] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Song Z, Hu X, Zhou Y, Zhou T, Qi Z, Sundmacher K. Rational design of double salt ionic liquids as extraction solvents: Separation of thiophene/
n
‐octane as example. AIChE J 2019. [DOI: 10.1002/aic.16625] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- Zhen Song
- Process Systems EngineeringMax Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
| | - Xutao Hu
- Max Planck Partner Group at the State Key Laboratory of Chemical Engineering, School of Chemical EngineeringEast China University of Science and Technology Shanghai China
| | - Yageng Zhou
- Process Systems EngineeringMax Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
| | - Teng Zhou
- Process Systems EngineeringMax Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
| | - Zhiwen Qi
- Max Planck Partner Group at the State Key Laboratory of Chemical Engineering, School of Chemical EngineeringEast China University of Science and Technology Shanghai China
| | - Kai Sundmacher
- Process Systems EngineeringMax Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
- Process Systems EngineeringOtto‐von‐Guericke University Magdeburg Magdeburg Germany
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Chen Y, Kontogeorgis GM, Woodley JM. Group Contribution Based Estimation Method for Properties of Ionic Liquids. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.8b05040] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Yuqiu Chen
- Department of Chemical and Biochemical Engineering, Technical University of Denmark DK-2800 Lyngby, Denmark
| | - Georgios M. Kontogeorgis
- Department of Chemical and Biochemical Engineering, Technical University of Denmark DK-2800 Lyngby, Denmark
| | - John M. Woodley
- Department of Chemical and Biochemical Engineering, Technical University of Denmark DK-2800 Lyngby, Denmark
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18
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Egorova KS, Ananikov VP. Fundamental importance of ionic interactions in the liquid phase: A review of recent studies of ionic liquids in biomedical and pharmaceutical applications. J Mol Liq 2018. [DOI: 10.1016/j.molliq.2018.09.025] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Chang CK, Chen WL, Wu DT, Lin ST. Improved Directional Hydrogen Bonding Interactions for the Prediction of Activity Coefficients with COSMO-SAC. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b02493] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Chun-Kai Chang
- Department of Chemical Engineering, National Taiwan University, Taipei City 10617, Taiwan
| | - Wei-Lin Chen
- Department of Chemical Engineering, National Taiwan University, Taipei City 10617, Taiwan
| | - David T. Wu
- Departments of Chemistry and of Chemical and Biological Engineering, Colorado School of Mines, Golden, Colorado 80401, United States
| | - Shiang-Tai Lin
- Department of Chemical Engineering, National Taiwan University, Taipei City 10617, Taiwan
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