2020
DOI: 10.1016/j.jcis.2020.04.070
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Hansen solubility parameters obtained via molecular dynamics simulations as a route to predict siloxane surfactant adsorption

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Cited by 17 publications
(10 citation statements)
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“…For the case of surfactants, these HSP calculations can be more complicated due to the interaction of the surfactant amphiphilic structure with the oil sludge. Nevertheless, there are recently some reports that predicted these solubility parameters by Molecular Dynamics (MD) simulations (Faasen et al 2020). Indeed, future studies can also focus on the calculations of HSP values for surfactant adsorption onto semi-solid matrices (e.g.…”
Section: Resultsmentioning
confidence: 99%
“…For the case of surfactants, these HSP calculations can be more complicated due to the interaction of the surfactant amphiphilic structure with the oil sludge. Nevertheless, there are recently some reports that predicted these solubility parameters by Molecular Dynamics (MD) simulations (Faasen et al 2020). Indeed, future studies can also focus on the calculations of HSP values for surfactant adsorption onto semi-solid matrices (e.g.…”
Section: Resultsmentioning
confidence: 99%
“…An understanding of similar dispersion, polar and hydrogen bonding characteristics of the binding entity of a virus or a bacteria is also necessary and this can lead to such terms as ΔD, ΔP and ΔH which give an extent of differences in such properties between the two interacting species. From such values, the likelihood and extent of interaction between the TVE-modified surface and the microorganism can then be assessed based loosely on similar Hansen Solubility Parameter (HSP) evaluation of polymer–solvent solubility where the distance ( D ) between the two species in the Hansen’s parameter space is given by the following relation; D 2 = 4(δ D 1 −δ D 2 ) 2 + (δ P 1 −δ P 2 ) 2 + (δ H 1 −δ H 2 ) 2 [ 30 , 31 ]. Of course, as in such HSP calculations, the smaller the D value, the greater should be the binding interaction.…”
Section: Perspectivementioning
confidence: 99%
“…21−23 Many studies have also reported the solubility parameters of small molecules or polymers by MD simulation, and MD simulation can solve to a certain extent the problems of high cost and difficulty in quantifying the relation between functional groups and solubility parameters in experimental studies. 24,25 Belmares et al 9 employed the CED method to calculate the solubility parameters of a large number of organic substances in combination with the Condensed-Phase Optimized Molecular Potentials for Atomistic Simulation Studies (COMPASS) force field. A large number of studies have proved that the COMPASS force field can accurately predict the gas-phase properties and condensed-phase properties for a broad range of molecules, polymers, and carbon materials.…”
Section: Introductionmentioning
confidence: 99%
“…Alternatively, molecular dynamics (MD) simulation has been widely proven to effectively study the structure and properties of materials. Many studies have also reported the solubility parameters of small molecules or polymers by MD simulation, and MD simulation can solve to a certain extent the problems of high cost and difficulty in quantifying the relation between functional groups and solubility parameters in experimental studies. , Belmares et al employed the CED method to calculate the solubility parameters of a large number of organic substances in combination with the Condensed-Phase Optimized Molecular Potentials for Atomistic Simulation Studies (COMPASS) force field. A large number of studies have proved that the COMPASS force field can accurately predict the gas-phase properties and condensed-phase properties for a broad range of molecules, polymers, and carbon materials. , Williams et al used MD simulation to investigate the solubility parameters of disordered (amorphous) phenyl-C70–butyric acid–methyl ester (PC71BM) and its C60 analogue (PC61BM) and found that the simulated values were in good agreement with the predicted values.…”
Section: Introductionmentioning
confidence: 99%