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Bernet T, Wehbe M, Febra SA, Haslam AJ, Adjiman CS, Jackson G, Galindo A. Modeling the Thermodynamic Properties of Saturated Lactones in Nonideal Mixtures with the SAFT-γ Mie Approach. JOURNAL OF CHEMICAL AND ENGINEERING DATA 2024; 69:650-678. [PMID: 38352073 PMCID: PMC10859965 DOI: 10.1021/acs.jced.3c00358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 08/30/2023] [Indexed: 02/16/2024]
Abstract
The prediction of the thermodynamic properties of lactones is an important challenge in the flavor, fragrance, and pharmaceutical industries. Here, we develop a predictive model of the phase behavior of binary mixtures of lactones with hydrocarbons, alcohols, ketones, esters, aromatic compounds, water, and carbon dioxide. We extend the group-parameter matrix of the statistical associating fluid theory SAFT-γ Mie group-contribution method by defining a new cyclic ester group, denoted cCOO. The group is composed of two spherical Mie segments and two association electron-donating sites of type e1 that can interact with association electron-accepting sites of type H in other molecules. The model parameters of the new cCOO group interactions (1 like interaction and 17 unlike interactions) are characterized to represent target experimental data of physical properties of pure fluids (vapor pressure, single-phase density, and vaporization enthalpy) and mixtures (vapor-liquid equilibria, liquid-liquid equilibria, solid-liquid equilibria, density, and excess enthalpy). The robustness of the model is assessed by comparing theoretical predictions with experimental data, mainly for oxolan-2-one, 5-methyloxolan-2-one, and oxepan-2-one (also referred to as γ-butyrolactone, γ-valerolactone, and ε-caprolactone, respectively). The calculations are found to be in very good quantitative agreement with experiments. The proposed model allows for accurate predictions of the thermodynamic properties and highly nonideal phase behavior of the systems of interest, such as azeotrope compositions. It can be used to support the development of novel molecules and manufacturing processes.
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Affiliation(s)
- Thomas Bernet
- Department
of Chemical Engineering, Sargent Centre for Process Systems Engineering,
Institute for Molecular Science and Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
| | - Malak Wehbe
- Department
of Chemical Engineering, Sargent Centre for Process Systems Engineering,
Institute for Molecular Science and Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
| | - Sara A. Febra
- Department
of Chemical Engineering, Sargent Centre for Process Systems Engineering,
Institute for Molecular Science and Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
| | - Andrew J. Haslam
- Department
of Chemical Engineering, Sargent Centre for Process Systems Engineering,
Institute for Molecular Science and Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
| | - Claire S. Adjiman
- Department
of Chemical Engineering, Sargent Centre for Process Systems Engineering,
Institute for Molecular Science and Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
| | - George Jackson
- Department
of Chemical Engineering, Sargent Centre for Process Systems Engineering,
Institute for Molecular Science and Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
| | - Amparo Galindo
- Department
of Chemical Engineering, Sargent Centre for Process Systems Engineering,
Institute for Molecular Science and Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
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Barthes A, Bernet T, Grégoire D, Miqueu C. A molecular density functional theory for associating fluids in 3D geometries. J Chem Phys 2024; 160:054704. [PMID: 38341691 DOI: 10.1063/5.0180795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 01/03/2024] [Indexed: 02/13/2024] Open
Abstract
A new free-energy functional is proposed for inhomogeneous associating fluids. The general formulation of Wertheim's thermodynamic perturbation theory is considered as the starting point of the derivation. We apply the hypotheses of the statistical associating fluid theory in the classical density functional theory (DFT) framework to obtain a tractable expression of the free-energy functional for inhomogeneous associating fluids. Specific weighted functions are introduced in our framework to describe association interactions for a fluid under confinement. These weighted functions have a mathematical structure similar to the weighted densities of the fundamental-measure theory (i.e., they can be expressed as convolution products) such that they can be efficiently evaluated with Fourier transforms in a 3D space. The resulting free-energy functional can be employed to determine the microscopic structure of inhomogeneous associating fluids of arbitrary 3D geometry. The new model is first compared with Monte Carlo simulations and previous versions of DFT for a planar hard wall system in order to check its consistency in a 1D case. As an example of application in a 3D configuration, we then investigate the extreme confinement of an associating hard-sphere fluid inside an anisotropic open cavity with a shape that mimics a simplified model of zeolite. Both the density distribution and the corresponding molecular bonding profile are given, revealing complementary information to understand the structure of the associating fluid inside the cavity network. The impact of the degree of association on the preferential positions of the molecules inside the cavity is investigated as well as the competition between association and steric effect on adsorption.
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Affiliation(s)
- Antoine Barthes
- Universite de Pau et des Pays de l'Adour, E2S UPPA, CNRS, LFCR, Anglet, France
| | - Thomas Bernet
- Department of Chemical Engineering, Sargent Centre for Process Systems Engineering, Institute for Molecular Science and Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
| | - David Grégoire
- Universite de Pau et des Pays de l'Adour, E2S UPPA, CNRS, LFCR, Anglet, France
- Institut Universitaire de France, Paris, France
| | - Christelle Miqueu
- Universite de Pau et des Pays de l'Adour, E2S UPPA, CNRS, LFCR, Anglet, France
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Felipe A, Lovenduski CA, Baker JL, Lindberg GE. Long-ranged heterogeneous structure in aqueous solutions of the deep eutectic solvent choline and geranate at the liquid-vapor interface. Phys Chem Chem Phys 2022; 24:13720-13729. [PMID: 35612263 DOI: 10.1039/d2cp01530g] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The deep eutectic solvent choline and geranate (CAGE) has shown promise in many therapeutic applications. CAGE facilitates drug delivery through unique modes of action making it an exciting therapeutic option. We examine the behavior of aqueous CAGE solutions at a liquid-vapor interface. We find that the liquid-vapor interface induces large oscillations in the density, which corresponds to spontaneous segregation into regions enriched with geranate and geranic acid and other regions enriched with water and choline. These heterogeneities are observed to extend nanometers into the liquid. Additionally, we find that the geranate and geranic acid orient so that their polar carboxyl or carboxylate groups are on average pointed toward the layer containing water and choline. Finally, we report surface tension and thermal expansion coefficients for various concentrations of aqueous CAGE. We find a non-monotonic trend in the surface tension with concentration. The structural and thermodynamic properties we report provide a new perspective on CAGE behavior, which helps deduce the action of CAGE in more sophisticated systems and inspire other studies and applications of CAGE and related materials.
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Affiliation(s)
- Alfredo Felipe
- Department of Chemistry, Department of Applied Physics and Materials Science, and ¡MIRA! the Center for Materials Interfaces in Research and Applications, Northern Arizona University, Flagstaff, Arizona, USA.
| | | | - Joseph L Baker
- Department of Chemistry, The College of New Jersey, Ewing, New Jersey, USA
| | - Gerrick E Lindberg
- Department of Chemistry, Department of Applied Physics and Materials Science, and ¡MIRA! the Center for Materials Interfaces in Research and Applications, Northern Arizona University, Flagstaff, Arizona, USA.
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Dong Y, Warsahartana HG, Hammad F, Masters A. SAFT
‐γ Mie model for ionic liquids. AIChE J 2022. [DOI: 10.1002/aic.17697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Yichun Dong
- School of Chemistry and Chemical Engineering Hefei University of Technology Hefei China
| | | | - Faisal Hammad
- Department of Chemical Engineering The University of Manchester Manchester UK
| | - Andrew Masters
- Department of Chemical Engineering The University of Manchester Manchester UK
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Watson O, Jonuzaj S, McGinty J, Sefcik J, Galindo A, Jackson G, Adjiman CS. Computer Aided Design of Solvent Blends for Hybrid Cooling and Antisolvent Crystallization of Active Pharmaceutical Ingredients. Org Process Res Dev 2021; 25:1123-1142. [PMID: 34295139 PMCID: PMC8289336 DOI: 10.1021/acs.oprd.0c00516] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Indexed: 02/06/2023]
Abstract
Choosing a solvent and an antisolvent for a new crystallization process is challenging due to the sheer number of possible solvent mixtures and the impact of solvent composition and crystallization temperature on process performance. To facilitate this choice, we present a general computer aided mixture/blend design (CAMbD) formulation for the design of optimal solvent mixtures for the crystallization of pharmaceutical products. The proposed methodology enables the simultaneous identification of the optimal process temperature, solvent, antisolvent, and composition of solvent mixture. The SAFT-γ Mie group-contribution approach is used in the design of crystallization solvents; based on an equilibrium model, both the crystal yield and solvent consumption are considered. The design formulation is implemented in gPROMS and applied to the crystallization of lovastatin and ibuprofen, where a hybrid approach combining cooling and antisolvent crystallization is compared to each method alone. For lovastatin, the use of a hybrid approach leads to an increase in crystal yield compared to antisolvent crystallization or cooling crystallization. Furthermore, it is seen that using less volatile but powerful crystallization solvents at lower temperatures can lead to better performance. When considering ibuprofen, the hybrid and antisolvent crystallization techniques provide a similar performance, but the use of solvent mixtures throughout the crystallization is critical in maximizing crystal yields and minimizing solvent consumption. We show that our more general approach to rational design of solvent blends brings significant benefits for the design of crystallization processes in pharmaceutical and chemical manufacturing.
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Affiliation(s)
- Oliver
L. Watson
- Department
of Chemical Engineering, Centre for Process Systems Engineering, Institute
for Molecular Science and Engineering and EPSRC Future Manufacturing
Hub in Continuous Manufacturing and Advanced Crystallisation, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.
| | - Suela Jonuzaj
- Department
of Chemical Engineering, Centre for Process Systems Engineering, Institute
for Molecular Science and Engineering and EPSRC Future Manufacturing
Hub in Continuous Manufacturing and Advanced Crystallisation, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.
| | - John McGinty
- EPSRC
Future Manufacturing Hub in Continuous Manufacturing and Advanced
Crystallisation, Department of Chemical and Process Engineering, University of Strathclyde, 75 Montrose Street, Glasgow G1 1XJ, U.K.
| | - Jan Sefcik
- EPSRC
Future Manufacturing Hub in Continuous Manufacturing and Advanced
Crystallisation, Department of Chemical and Process Engineering, University of Strathclyde, 75 Montrose Street, Glasgow G1 1XJ, U.K.
| | - Amparo Galindo
- Department
of Chemical Engineering, Centre for Process Systems Engineering, Institute
for Molecular Science and Engineering and EPSRC Future Manufacturing
Hub in Continuous Manufacturing and Advanced Crystallisation, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.
| | - George Jackson
- Department
of Chemical Engineering, Centre for Process Systems Engineering, Institute
for Molecular Science and Engineering and EPSRC Future Manufacturing
Hub in Continuous Manufacturing and Advanced Crystallisation, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.
| | - Claire S. Adjiman
- Department
of Chemical Engineering, Centre for Process Systems Engineering, Institute
for Molecular Science and Engineering and EPSRC Future Manufacturing
Hub in Continuous Manufacturing and Advanced Crystallisation, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.
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Kohns M, Lazarou G, Kournopoulos S, Forte E, Perdomo FA, Jackson G, Adjiman CS, Galindo A. Predictive models for the phase behaviour and solution properties of weak electrolytes: nitric, sulphuric, and carbonic acids. Phys Chem Chem Phys 2020; 22:15248-15269. [PMID: 32609107 DOI: 10.1039/c9cp06795g] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The distribution of ionic species in electrolyte systems is important in many fields of science and engineering, ranging from the study of degradation mechanisms to the design of systems for electrochemical energy storage. Often, other phenomena closely related to ionic speciation, such as ion pairing, clustering and hydrogen bonding, which are difficult to investigate experimentally, are also of interest. Here, we develop an accurate molecular approach, accounting for reactions as well as association and ion pairing, to deliver a predictive framework that helps validate experiment and guides future modelling of speciation phenomena of weak electrolytes. We extend the SAFT-VRE Mie equation of state [D. K. Eriksen et al., Mol. Phys., 2016, 114, 2724-2749] to study aqueous solutions of nitric, sulphuric, and carbonic acids, considering complete and partially dissociated models. In order to incorporate the dissociation equilibria, correlations to experimental data for the relevant thermodynamic equilibrium constants of the dissociation reactions are taken from the literature and are imposed as a boundary condition in the calculations. The models for water, the hydronium ion, and carbon dioxide are treated as transferable and are taken from our previous work. We present new molecular models for nitric acid, and the nitrate, bisulfate, sulfate, and bicarbonate anions. The resulting framework is used to predict a range of phase behaviour and solution properties of the aqueous acids over wide ranges of concentration and temperature, including the degree of dissociation, as well as the activity coefficients of the ionic species, and the activity of water and osmotic coefficient, density, and vapour pressure of the solutions. The SAFT-VRE Mie models obtained in this manner provide a means of elucidating the mechanisms of association and ion pairing in the systems studied, complementing the experimental observations reported in the literature.
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Affiliation(s)
- Maximilian Kohns
- Department of Chemical Engineering, Centre for Process Systems Engineering and Institute for Molecular Science and Engineering, South Kensington Campus, Imperial College London, London SW7 2AZ, UK.
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