Literature DB >> 25381172

Monte Carlo simulation of mixed nonionic Brij surfactants in water.

Ruzanna Yahya1, Roghayeh Abedi Karjiban, Mahiran Basri, Mohd Basyaruddin Abdul Rahman, Mauricio Girardi.   

Abstract

Nonionic surfactants such as the Brij® series are important in the preparation of transdermal drug nanodelivery products using nanoemulsions because of their low toxicity and low irritancy. Here, Monte Carlo (MC) simulation was used to examine the physical behavior of the model deterministic system by using sampling procedures. Metropolis MC simulations were run on three mixtures of two different nonionic surfactants, Brij92 and Brij96, with different compositions in aqueous solution. The system was simulated in the canonical ensemble with constant temperature, volume and number of molecules. Hence, the acceptance ratio for single atom moves of the mixed surfactants increased as the concentration of surfactants increased from 0.494 to 0.591. The lowest total energy for the mixed surfactant systems was -99,039 kcal mol(-1) due to the interaction between all molecules in the system simulated. The physicochemical properties of models such as the radius of gyration and radial distribution function, were also determined. These observations indicate that the behavior and physicochemical of mixed surfactant and PKOEs nanoemulsion systems were described adequately during the simulation.

Entities:  

Year:  2014        PMID: 25381172     DOI: 10.1007/s00894-014-2512-1

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  16 in total

1.  Understanding beta-hairpin formation.

Authors:  A R Dinner; T Lazaridis; M Karplus
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-03       Impact factor: 11.205

2.  A Grand Canonical Monte Carlo-Brownian dynamics algorithm for simulating ion channels.

Authors:  W Im; S Seefeld; B Roux
Journal:  Biophys J       Date:  2000-08       Impact factor: 4.033

3.  Phase diagram and correlation functions of the half-filled extended Hubbard model in one dimension.

Authors: 
Journal:  Phys Rev B Condens Matter       Date:  1992-02-15

4.  Monte Carlo simulations of biomolecules: The MC module in CHARMM.

Authors:  Jie Hu; Ao Ma; Aaron R Dinner
Journal:  J Comput Chem       Date:  2006-01-30       Impact factor: 3.376

5.  Monte Carlo simulation of mixed lennard-jones nonionic surfactant adsorption at the liquid/vapor interface.

Authors:  A J Howes; C J Radke
Journal:  Langmuir       Date:  2007-10-05       Impact factor: 3.882

Review 6.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

7.  Phase behavior of low-functionality, telechelic star block copolymers.

Authors:  Federica Lo Verso; Athanassios Z Panagiotopoulos; Christos N Likos
Journal:  Faraday Discuss       Date:  2010       Impact factor: 4.008

8.  Enhancing effect of polyoxyethylene alkyl ethers on the skin permeation of ibuprofen.

Authors:  E S Park; S Y Chang; M Hahn; S C Chi
Journal:  Int J Pharm       Date:  2000-11-19       Impact factor: 5.875

9.  The effects of surfactants on penetration across the skin*.

Authors:  K A Walters; W Bialik; K R Brain
Journal:  Int J Cosmet Sci       Date:  1993-12       Impact factor: 2.970

10.  CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields.

Authors:  K Vanommeslaeghe; E Hatcher; C Acharya; S Kundu; S Zhong; J Shim; E Darian; O Guvench; P Lopes; I Vorobyov; A D Mackerell
Journal:  J Comput Chem       Date:  2010-03       Impact factor: 3.376

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