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Eshaghi Gorji Z, Ebrahimpoor Gorji A, Riahi S. A structure-property model for the prediction of pKa values of different amines in the CO2 capture process of concern to the prediction of thermodynamic properties. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2022.01.043] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Orlov AA, Demenko DY, Bignaud C, Valtz A, Marcou G, Horvath D, Coquelet C, Varnek A, de Meyer F. Chemoinformatics-Driven Design of New Physical Solvents for Selective CO 2 Absorption. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:15542-15553. [PMID: 34736317 DOI: 10.1021/acs.est.1c04092] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The removal of CO2 from gases is an important industrial process in the transition to a low-carbon economy. The use of selective physical (co-)solvents is especially perspective in cases when the amount of CO2 is large as it enables one to lower the energy requirements for solvent regeneration. However, only a few physical solvents have found industrial application and the design of new ones can pave the way to more efficient gas treatment techniques. Experimental screening of gas solubility is a labor-intensive process, and solubility modeling is a viable strategy to reduce the number of solvents subject to experimental measurements. In this paper, a chemoinformatics-based modeling workflow was applied to build a predictive model for the solubility of CO2 and four other industrially important gases (CO, CH4, H2, and N2). A dataset containing solubilities of gases in 280 solvents was collected from literature sources and supplemented with the new data for six solvents measured in the present study. A modeling workflow based on the usage of several state-of-the-art machine learning algorithms was applied to establish quantitative structure-solubility relationships. The best models were used to perform virtual screening of the industrially produced chemicals. It enabled the identification of compounds with high predicted CO2 solubility and selectivity toward other gases. The prediction for one of the compounds, 4-methylmorpholine, was confirmed experimentally.
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Affiliation(s)
- Alexey A Orlov
- Laboratory of Chemoinformatics, Faculty of Chemistry, University of Strasbourg, Strasbourg 67081, France
| | - Daryna Yu Demenko
- Laboratory of Chemoinformatics, Faculty of Chemistry, University of Strasbourg, Strasbourg 67081, France
| | - Charles Bignaud
- TotalEnergies S.E., Exploration Production, Development and Support to Operations, Liquefied Natural Gas - Acid Gas Entity, CCUS R&D Program, Paris 92078, France
| | - Alain Valtz
- MINES ParisTech, PSL University, Centre de thermodynamique des procédés (CTP), 35 rue St Honoré, 77300 Fontainebleau, France
| | - Gilles Marcou
- Laboratory of Chemoinformatics, Faculty of Chemistry, University of Strasbourg, Strasbourg 67081, France
| | - Dragos Horvath
- Laboratory of Chemoinformatics, Faculty of Chemistry, University of Strasbourg, Strasbourg 67081, France
| | - Christophe Coquelet
- MINES ParisTech, PSL University, Centre de thermodynamique des procédés (CTP), 35 rue St Honoré, 77300 Fontainebleau, France
| | - Alexandre Varnek
- Laboratory of Chemoinformatics, Faculty of Chemistry, University of Strasbourg, Strasbourg 67081, France
| | - Frédérick de Meyer
- TotalEnergies S.E., Exploration Production, Development and Support to Operations, Liquefied Natural Gas - Acid Gas Entity, CCUS R&D Program, Paris 92078, France
- MINES ParisTech, PSL University, Centre de thermodynamique des procédés (CTP), 35 rue St Honoré, 77300 Fontainebleau, France
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Balali M, Sobati MA, Gorji AE. QSPR modeling of thiophene distribution between deep eutectic solvent (DES) and hydrocarbon phases: Effect of hydrogen bond donor (HBD) structure. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.117496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Rahmani N, Abbasi-Radmoghaddam Z, Riahi S, Mohammadi-Khanaposhtanai M. Predictive QSAR models for the anti-cancer activity of topoisomerase IIα catalytic inhibitors against breast cancer cell line HCT15: GA-MLR and LS-SVM modeling. Struct Chem 2020. [DOI: 10.1007/s11224-020-01543-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Prediction of Henry's law constants of CO2 in imidazole ionic liquids using machine learning methods based on empirical descriptors. CHEMICAL PAPERS 2020. [DOI: 10.1007/s11696-020-01415-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Prediction of critical properties of sulfur-containing compounds: New QSPR models. J Mol Graph Model 2020; 101:107700. [PMID: 32927270 DOI: 10.1016/j.jmgm.2020.107700] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 06/22/2020] [Accepted: 07/10/2020] [Indexed: 01/22/2023]
Abstract
In this study, new models have been proposed for the prediction of different critical properties (critical temperature (TC), critical pressure (PC), critical volume (VC), and acentric factor (ω)) of the sulfur-containing compounds based on quantitative structure-property relationship (QSPR). An extensive data set containing experimental data of over 130 different sulfur-containing compounds was employed. Enhanced Replacement Method (ERM) was applied for subset variable selection. Based on ERM selected descriptors, two different models, including linear model and genetic programming (GP) based non-linear model have been proposed for each critical property. The predicted values of each target were in good agreement with the experimental data. For GP-based models, the values of the coefficient of determination (R2) were 0.936, 0.976, 0.990, and 0.917 for TC, PC, VC, and ω, respectively. After revisiting the available QSPR models, it was found that the domain of applicability of new models has been expanded.
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Gorji AE, Sobati MA. Effect of the cation structure on the thiophene distribution between the ionic liquid with NTf2 anion and the hydrocarbon rich phases: A QSPR study. J Mol Liq 2020. [DOI: 10.1016/j.molliq.2020.113551] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Effect of coprecipitation method on Mg–Al hydrotalcite properties: application in the synthesis of diethylene glycol di-(methyl carbonate). JOURNAL OF THE IRANIAN CHEMICAL SOCIETY 2020. [DOI: 10.1007/s13738-020-01945-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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Rezaei B, Riahi S, Gorji AE. Molecular investigation of amine performance in the carbon capture process: Least squares support vector machine approach. KOREAN J CHEM ENG 2020. [DOI: 10.1007/s11814-019-0408-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Gorji AE, Sobati MA. Toward molecular modeling of thiophene distribution between the ionic liquid and hydrocarbon phases: Effect of hydrocarbon structure. J Mol Liq 2019. [DOI: 10.1016/j.molliq.2019.110976] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Chen R, Chen T, Hu X, Fan Y, Wang G. Catalytic synthesis of glycol dicarbonate from glycol and dimethyl carbonate by transesterification. JOURNAL OF CHEMICAL RESEARCH 2019. [DOI: 10.1177/1747519819861318] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Glycol dicarbonate is successfully synthesized via transesterification of glycol with dimethyl carbonate. A catalyst screening is performed by studying the effect of acidity and alkalinity on the catalytic performance. The results indicate that compared with acidic catalysts, high conversions and yields are obtained with basic catalysts. Ca(OH)2, with medium-strength alkalinity, exhibits excellent catalytic activity with glycol dicarbonate yields of 95%-99% when using a fractionation reaction system.
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Affiliation(s)
- Ruiyang Chen
- Chengdu Institute of Organic Chemistry, Chinese Academy of Sciences, Chengdu, P.R. China
- University of Chinese Academy of Sciences, Beijing, P.R. China
| | - Tong Chen
- Chengdu Institute of Organic Chemistry, Chinese Academy of Sciences, Chengdu, P.R. China
| | - Xiaojia Hu
- The Second Research Institute of the Civil Aviation Administration of China, Chengdu, P.R. China
| | - Youkun Fan
- Chengdu Institute of Organic Chemistry, Chinese Academy of Sciences, Chengdu, P.R. China
- University of Chinese Academy of Sciences, Beijing, P.R. China
| | - Gongying Wang
- Chengdu Institute of Organic Chemistry, Chinese Academy of Sciences, Chengdu, P.R. China
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