1
|
Yu G, Dai C, Liu N, Xu R, Wang N, Chen B. Hydrocarbon Extraction with Ionic Liquids. Chem Rev 2024; 124:3331-3391. [PMID: 38447150 DOI: 10.1021/acs.chemrev.3c00639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
Separation and reaction processes are key components employed in the modern chemical industry, and the former accounts for the majority of the energy consumption therein. In particular, hydrocarbon separation and purification processes, such as aromatics extraction, desulfurization, and denitrification, are challenging in petroleum refinement, an industrial cornerstone that provides raw materials for products used in human activities. The major technical shortcomings in solvent extraction are volatile solvent loss, product entrainment leading to secondary pollution, low separation efficiency, and high regeneration energy consumption due to the use of traditional organic solvents with high boiling points as extraction agents. Ionic liquids (ILs), a class of designable functional solvents or materials, have been widely used in chemical separation processes to replace conventional organic solvents after nearly 30 years of rapid development. Herein, we provide a systematic and comprehensive review of the state-of-the-art progress in ILs in the field of extractive hydrocarbon separation (i.e., aromatics extraction, desulfurization, and denitrification) including (i) molecular thermodynamic models of IL systems that enable rapid large-scale screening of IL candidates and phase equilibrium prediction of extraction processes; (ii) structure-property relationships between anionic and cationic structures of ILs and their separation performance (i.e., selectivity and distribution coefficients); (iii) IL-related extractive separation mechanisms (e.g., the magnitude, strength, and sites of intermolecular interactions depending on the separation system and IL structure); and (iv) process simulation and design of IL-related extraction at the industrial scale based on validated thermodynamic models. In short, this Review provides an easy-to-read exhaustive reference on IL-related extractive separation of hydrocarbon mixtures from the multiscale perspective of molecules, thermodynamics, and processes. It also extends to progress in IL analogs, deep eutectic solvents (DESs) in this research area, and discusses the current challenges faced by ILs in related separation fields as well as future directions and opportunities.
Collapse
Affiliation(s)
- Gangqiang Yu
- Faculty of Environment and Life, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China
| | - Chengna Dai
- Faculty of Environment and Life, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China
| | - Ning Liu
- Faculty of Environment and Life, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China
| | - Ruinian Xu
- Faculty of Environment and Life, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China
| | - Ning Wang
- Faculty of Environment and Life, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China
| | - Biaohua Chen
- Faculty of Environment and Life, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China
| |
Collapse
|
2
|
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.
Collapse
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
| |
Collapse
|
3
|
Zhang Y, Su Z, Xue K, Xing J, Fan D, Qi J, Zhu Z, Wang Y. Efficient Separation of Methyl tert-Butyl Ether Using Ionic Liquids from Computational Thermodynamics to Process Intensification. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c03056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Yanli Zhang
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao266042, China
| | - Zihao Su
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao266042, China
| | - Ke Xue
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao266042, China
| | - Jiafu Xing
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao266042, China
| | - Dingchao Fan
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao266042, China
| | - Jianguang Qi
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao266042, China
| | - Zhaoyou Zhu
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao266042, China
| | - Yinglong Wang
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao266042, China
| |
Collapse
|
4
|
Bian Y, Liu J, Zhang G, Peng Z, Li C. The Synthesis of Ionic Liquid Functionalized Polymer and its Application in the Esterification Between Methacrylic Acid and Methanol. Catal Letters 2022. [DOI: 10.1007/s10562-022-04099-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
5
|
Tan T, Cheng H, Chen G, Song Z, Qi Z. Prediction of infinite‐dilution activity coefficients with neural collaborative filtering. AIChE J 2022. [DOI: 10.1002/aic.17789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Tian Tan
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering East China University of Science and Technology Shanghai China
| | - Hongye Cheng
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering East China University of Science and Technology Shanghai China
| | - Guzhong Chen
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering East China University of Science and Technology Shanghai China
| | - Zhen Song
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering East China University of Science and Technology Shanghai China
| | - Zhiwen Qi
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering East China University of Science and Technology Shanghai China
| |
Collapse
|
6
|
Qin Z, Cheng H, Song Z, Ji L, Chen L, Qi Z. Selection of deep eutectic solvents for extractive deterpenation of lemon essential oil. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118524] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
|
7
|
Yu G, Dai C, Chen B, Lei Z, Wei Z, Chen K. Thermodynamic and molecular insights into gas drying with ionic liquid − based mixed absorbents. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2021.117382] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
|
8
|
Catalytically active membranes for esterification: A review. Chin J Chem Eng 2022. [DOI: 10.1016/j.cjche.2022.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
|
9
|
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
| |
Collapse
|