Literature DB >> 31955574

Predicting Partition Coefficients of Neutral and Charged Solutes in the Mixed SLES-Fatty Acid Micellar System.

Mattia Turchi1,2, Abhishek A Kognole3, Anmol Kumar3, Qiong Cai2, Guoping Lian1,2, Alexander D MacKerell3.   

Abstract

Sodium laureth sulfate (SLES) and fatty acids are common ingredients in many cosmetic products. Understanding how neutral and charged fatty acid compounds partition between micellar and water phases is crucial to achieve the optimal design of the product formulation. In this paper, we first study the formation of mixed SLES and fatty acid micelles using molecular dynamics (MD) simulations. Micelle/water partition coefficients of neutral and charged fatty acids are then calculated using COSMOmic as well as a MD approach based on the potential of mean force (PMF) calculations performed using umbrella sampling (US). The combined US/PMF approach was performed with both the additive, non-polarizable CHARMM general force field (CGenFF) and the classical Drude polarizable force field. The partition coefficients for the neutral solutes are shown to be accurately calculated with the COSMOmic and additive CGenFF US/PMF approaches, while only the US/PMF approach with the Drude polarizable force field accurately calculated the experimental partition coefficient of the charged solute. These results indicate the utility of the Drude polarizable force field as a tool for the rational development of mixed micelles.

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Year:  2020        PMID: 31955574      PMCID: PMC7060100          DOI: 10.1021/acs.jpcb.9b11199

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  29 in total

1.  Determination of Electrostatic Parameters for a Polarizable Force Field Based on the Classical Drude Oscillator.

Authors:  Victor M Anisimov; Guillaume Lamoureux; Igor V Vorobyov; Niu Huang; Benoît Roux; Alexander D MacKerell
Journal:  J Chem Theory Comput       Date:  2005-01       Impact factor: 6.006

2.  Density-functional approximation for the correlation energy of the inhomogeneous electron gas.

Authors: 
Journal:  Phys Rev B Condens Matter       Date:  1986-06-15

3.  Determination of the aggregation number and charge of ionic surfactant micelles from the stepwise thinning of foam films.

Authors:  Svetoslav E Anachkov; Krassimir D Danov; Elka S Basheva; Peter A Kralchevsky; Kavssery P Ananthapadmanabhan
Journal:  Adv Colloid Interface Sci       Date:  2012-08-18       Impact factor: 12.984

4.  Structural properties of ionic detergent aggregates: a large-scale molecular dynamics study of sodium dodecyl sulfate.

Authors:  Maria Sammalkorpi; Mikko Karttunen; Mikko Haataja
Journal:  J Phys Chem B       Date:  2007-09-18       Impact factor: 2.991

5.  Solubilization in mixed micelles studied by molecular dynamics simulations and COSMOmic.

Authors:  Sandra Storm; Sven Jakobtorweihen; Irina Smirnova
Journal:  J Phys Chem B       Date:  2014-03-24       Impact factor: 2.991

6.  A polarizable force field of dipalmitoylphosphatidylcholine based on the classical Drude model for molecular dynamics simulations of lipids.

Authors:  Janamejaya Chowdhary; Edward Harder; Pedro E M Lopes; Lei Huang; Alexander D MacKerell; Benoît Roux
Journal:  J Phys Chem B       Date:  2013-07-30       Impact factor: 2.991

7.  Micellization and Partition Equilibria in Mixed Nonionic/Ionic Micellar Systems: Predictions with Molecular Models.

Authors:  D Yordanova; E Ritter; I Smirnova; S Jakobtorweihen
Journal:  Langmuir       Date:  2017-10-13       Impact factor: 3.882

8.  Molecular dynamics simulation of SDS and CTAB micellization and prediction of partition equilibria with COSMOmic.

Authors:  Sandra Storm; Sven Jakobtorweihen; Irina Smirnova; Athanassios Z Panagiotopoulos
Journal:  Langmuir       Date:  2013-09-04       Impact factor: 3.882

9.  Many-body polarization effects and the membrane dipole potential.

Authors:  Edward Harder; Alexander D Mackerell; Benoît Roux
Journal:  J Am Chem Soc       Date:  2009-03-04       Impact factor: 15.419

10.  OpenMM 7: Rapid development of high performance algorithms for molecular dynamics.

Authors:  Peter Eastman; Jason Swails; John D Chodera; Robert T McGibbon; Yutong Zhao; Kyle A Beauchamp; Lee-Ping Wang; Andrew C Simmonett; Matthew P Harrigan; Chaya D Stern; Rafal P Wiewiora; Bernard R Brooks; Vijay S Pande
Journal:  PLoS Comput Biol       Date:  2017-07-26       Impact factor: 4.475

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  1 in total

1.  Deep Neural Network Model to Predict the Electrostatic Parameters in the Polarizable Classical Drude Oscillator Force Field.

Authors:  Anmol Kumar; Poonam Pandey; Payal Chatterjee; Alexander D MacKerell
Journal:  J Chem Theory Comput       Date:  2022-02-11       Impact factor: 6.006

  1 in total

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