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Delforce L, Duprat F, Ploix JL, Ontiveros JF, Goussard V, Nardello-Rataj V, Aubry JM. Fast Prediction of the Equivalent Alkane Carbon Number Using Graph Machines and Neural Networks. ACS OMEGA 2022; 7:38869-38881. [PMID: 36340160 PMCID: PMC9631404 DOI: 10.1021/acsomega.2c04592] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 08/09/2022] [Indexed: 06/16/2023]
Abstract
The hydrophobicity of oils is a key parameter to design surfactant/oil/water (SOW) macro-, micro-, or nano-dispersed systems with the desired features. This essential physicochemical characteristic is quantitatively expressed by the equivalent alkane carbon number (EACN) whose experimental determination is tedious since it requires knowledge of the phase behavior of the SOW systems at different temperatures and for different surfactant concentrations. In this work, two mathematical models are proposed for the rapid prediction of the EACN of oils. They have been designed using artificial intelligence (machine-learning) methods, namely, neural networks (NN) and graph machines (GM). While the GM model is implemented from the SMILES codes of a 111-molecule training set of known EACN values, the NN model is fed with some σ-moment descriptors computed with the COSMOtherm software for the 111-molecule set. In a preliminary step, the leave-one-out algorithm is used to select, given the available data, the appropriate complexity of the two models. A comparison of the EACNs of liquids of a fresh set of 10 complex cosmetic and perfumery molecules shows that the two approaches provide comparable results in terms of accuracy and reliability. Finally, the NN and GM models are applied to nine series of homologous compounds, for which the GM model results are in better agreement with the experimental EACN trends than the NN model predictions. The results obtained by the GMs and by the NN based on σ-moments can be duplicated with the demonstration tool available for download as detailed in the Supporting Information.
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Affiliation(s)
- Lucie Delforce
- University
of Lille, CNRS, Centrale Lille, Université d′Artois,
UMR 8181—UCCS—Unité de Catalyse et Chimie du
Solide, F-59000Lille, France
| | - François Duprat
- Laboratoire
de Chimie Organique, CNRS, ESPCI Paris,
PSL Research University, 10 rue Vauquelin, 75005Paris, France
| | - Jean-Luc Ploix
- Laboratoire
de Chimie Organique, CNRS, ESPCI Paris,
PSL Research University, 10 rue Vauquelin, 75005Paris, France
| | - Jesus Fermín Ontiveros
- University
of Lille, CNRS, Centrale Lille, Université d′Artois,
UMR 8181—UCCS—Unité de Catalyse et Chimie du
Solide, F-59000Lille, France
| | - Valentin Goussard
- University
of Lille, CNRS, Centrale Lille, Université d′Artois,
UMR 8181—UCCS—Unité de Catalyse et Chimie du
Solide, F-59000Lille, France
| | - Véronique Nardello-Rataj
- University
of Lille, CNRS, Centrale Lille, Université d′Artois,
UMR 8181—UCCS—Unité de Catalyse et Chimie du
Solide, F-59000Lille, France
| | - Jean-Marie Aubry
- University
of Lille, CNRS, Centrale Lille, Université d′Artois,
UMR 8181—UCCS—Unité de Catalyse et Chimie du
Solide, F-59000Lille, France
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Amrouche H, Creton B, Siperstein F, Nieto-Draghi C. Prediction of thermodynamic properties of adsorbed gases in zeolitic imidazolate frameworks. RSC Adv 2012. [DOI: 10.1039/c2ra00025c] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
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Horcajada P, Gref R, Baati T, Allan PK, Maurin G, Couvreur P, Férey G, Morris RE, Serre C. Metal–Organic Frameworks in Biomedicine. Chem Rev 2011; 112:1232-68. [PMID: 22168547 DOI: 10.1021/cr200256v] [Citation(s) in RCA: 2658] [Impact Index Per Article: 204.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Patricia Horcajada
- Institut Lavoisier, UMR CNRS 8180, Université de Versailles St-Quentin en Yvelines, 45 Avenue des Etats-Unis, 78035 Versailles Cedex, France
| | - Ruxandra Gref
- Faculté de Pharmacie, UMR CNRS 8612, Université Paris-Sud, 92296 Châtenay-Malabry Cedex, France
| | - Tarek Baati
- Institut Lavoisier, UMR CNRS 8180, Université de Versailles St-Quentin en Yvelines, 45 Avenue des Etats-Unis, 78035 Versailles Cedex, France
| | - Phoebe K. Allan
- EaStChem School of Chemistry, University of St. Andrews Purdie Building, St Andrews, KY16 9ST U.K
| | - Guillaume Maurin
- Institut Charles Gerhardt Montpellier, UMR CNRS 5253, Université Montpellier 2, 34095 Montpellier cedex 05, France
| | - Patrick Couvreur
- Faculté de Pharmacie, UMR CNRS 8612, Université Paris-Sud, 92296 Châtenay-Malabry Cedex, France
| | - Gérard Férey
- Institut Lavoisier, UMR CNRS 8180, Université de Versailles St-Quentin en Yvelines, 45 Avenue des Etats-Unis, 78035 Versailles Cedex, France
| | - Russell E. Morris
- EaStChem School of Chemistry, University of St. Andrews Purdie Building, St Andrews, KY16 9ST U.K
| | - Christian Serre
- Institut Lavoisier, UMR CNRS 8180, Université de Versailles St-Quentin en Yvelines, 45 Avenue des Etats-Unis, 78035 Versailles Cedex, France
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Porcheron F, Gibert A, Mougin P, Wender A. High throughput screening of CO2 solubility in aqueous monoamine solutions. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2011; 45:2486-2492. [PMID: 21341690 DOI: 10.1021/es103453f] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
Post-combustion Carbon Capture and Storage technology (CCS) is viewed as an efficient solution to reduce CO(2) emissions of coal-fired power stations. In CCS, an aqueous amine solution is commonly used as a solvent to selectively capture CO(2) from the flue gas. However, this process generates additional costs, mostly from the reboiler heat duty required to release the carbon dioxide from the loaded solvent solution. In this work, we present thermodynamic results of CO(2) solubility in aqueous amine solutions from a 6-reactor High Throughput Screening (HTS) experimental device. This device is fully automated and designed to perform sequential injections of CO(2) within stirred-cell reactors containing the solvent solutions. The gas pressure within each reactor is monitored as a function of time, and the resulting transient pressure curves are transformed into CO(2) absorption isotherms. Solubility measurements are first performed on monoethanolamine, diethanolamine, and methyldiethanolamine aqueous solutions at T = 313.15 K. Experimental results are compared with existing data in the literature to validate the HTS device. In addition, a comprehensive thermodynamic model is used to represent CO(2) solubility variations in different classes of amine structures upon a wide range of thermodynamic conditions. This model is used to fit the experimental data and to calculate the cyclic capacity, which is a key parameter for CO(2) process design. Solubility measurements are then performed on a set of 50 monoamines and cyclic capacities are extracted using the thermodynamic model, to asses the potential of these molecules for CO(2) capture.
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Affiliation(s)
- Fabien Porcheron
- IFP Energies Nouvelles, Rond-Point de l'Échangeur de Solaize, BP 3, 69360 Solaize, France.
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