Literature DB >> 24511922

Group contribution methodology based on the statistical associating fluid theory for heteronuclear molecules formed from Mie segments.

Vasileios Papaioannou1, Thomas Lafitte1, Carlos Avendaño1, Claire S Adjiman1, George Jackson1, Erich A Müller1, Amparo Galindo1.   

Abstract

A generalization of the recent version of the statistical associating fluid theory for variable range Mie potentials [Lafitte et al., J. Chem. Phys. 139, 154504 (2013)] is formulated within the framework of a group contribution approach (SAFTMie). Molecules are represented as comprising distinct functional (chemical) groups based on a fused heteronuclear molecular model, where the interactions between segments are described with the Mie (generalized Lennard-Jonesium) potential of variable attractive and repulsive range. A key feature of the new theory is the accurate description of the monomeric group-group interactions by application of a high-temperature perturbation expansion up to third order. The capabilities of the SAFTMie approach are exemplified by studying the thermodynamic properties of two chemical families, the n-alkanes and the n-alkyl esters, by developing parameters for the methyl, methylene, and carboxylate functional groups (CH3, CH2, and COO). The approach is shown to describe accurately the fluid-phase behavior of the compounds considered with absolute average deviations of 1.20% and 0.42% for the vapor pressure and saturated liquid density, respectively, which represents a clear improvement over other existing SAFT-based group contribution approaches. The use of Mie potentials to describe the group-group interaction is shown to allow accurate simultaneous descriptions of the fluid-phase behavior and second-order thermodynamic derivative properties of the pure fluids based on a single set of group parameters. Furthermore, the application of the perturbation expansion to third order for the description of the reference monomeric fluid improves the predictions of the theory for the fluid-phase behavior of pure components in the near-critical region. The predictive capabilities of the approach stem from its formulation within a group-contribution formalism: predictions of the fluid-phase behavior and thermodynamic derivative properties of compounds not included in the development of group parameters are demonstrated. The performance of the theory is also critically assessed with predictions of the fluid-phase behavior (vapor-liquid and liquid-liquid equilibria) and excess thermodynamic properties of a variety of binary mixtures, including polymer solutions, where very good agreement with the experimental data is seen, without the need for adjustable mixture parameters.

Entities:  

Year:  2014        PMID: 24511922     DOI: 10.1063/1.4851455

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  4 in total

1.  The influence of solid state information and descriptor selection on statistical models of temperature dependent aqueous solubility.

Authors:  Richard L Marchese Robinson; Kevin J Roberts; Elaine B Martin
Journal:  J Cheminform       Date:  2018-08-29       Impact factor: 5.514

2.  Modelling and prediction of the thermophysical properties of aqueous mixtures of choline geranate and geranic acid (CAGE) using SAFT-γ Mie.

Authors:  Silvia Di Lecce; Georgia Lazarou; Siti H Khalit; Claire S Adjiman; George Jackson; Amparo Galindo; Lisa McQueen
Journal:  RSC Adv       Date:  2019-11-21       Impact factor: 3.361

Review 3.  Computer Aided Design of Solvent Blends for Hybrid Cooling and Antisolvent Crystallization of Active Pharmaceutical Ingredients.

Authors:  Oliver L Watson; Suela Jonuzaj; John McGinty; Jan Sefcik; Amparo Galindo; George Jackson; Claire S Adjiman
Journal:  Org Process Res Dev       Date:  2021-05-06       Impact factor: 3.317

4.  Use of Boundary-Driven Nonequilibrium Molecular Dynamics for Determining Transport Diffusivities of Multicomponent Mixtures in Nanoporous Materials.

Authors:  Maziar Fayaz-Torshizi; Weilun Xu; Joseph R Vella; Bennett D Marshall; Peter I Ravikovitch; Erich A Müller
Journal:  J Phys Chem B       Date:  2022-02-01       Impact factor: 2.991

  4 in total

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