Molecular Dynamics Simulations of Hydration Effects on Solvation, Diffusivity, and Permeability in Chitosan/Chitin Films

Marshall T. McDonnell, Duncan A. Greeley, Kevin M. Kit, David J. Keffer

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

The effects of hydration on the solvation, diffusivity, solubility, and permeability of oxygen molecules in sustainable, biodegradable chitosan/chitin food packaging films were studied via molecular dynamics and confined random walk simulations. With increasing hydration, the membrane has a more homogeneous water distribution with the polymer chains being fully solvated. The diffusivity increased by a factor of 4 for oxygen molecules and by an order of magnitude for water with increasing the humidity. To calculate the Henry's constant and solubility of oxygen in the membranes with changing hydration, the excess chemical potential was calculated via free energy perturbation, thermodynamic integration and direct particle deletion methods. The simulations predicted a higher solubility and permeability for the lower humidity, in contradiction to experimental results. All three methods for calculating the solubility were in good agreement. It was found that the Coulombic interactions in the potential caused the oxygen to bind too strongly to the protonated amine group. Insight from this work will help guide molecular modeling of chitosan/chitin membranes, specifically permeability measurements for small solute molecules. Efforts to chemically tailor chitosan/chitin membranes to favor discrete as opposed to continuous aqueous domains could reduce oxygen permeability.

Original languageEnglish
Pages (from-to)8997-9010
Number of pages14
JournalJournal of Physical Chemistry B
Volume120
Issue number34
DOIs
StatePublished - Sep 1 2016
Externally publishedYes

Funding

M.M. was partially supported by a grant from the National Science Foundation (DGE-0801470). D.A.G. was partially supported by a grant from the Center of Materials Processing, a Tennessee Higher Education Commission (THEC) Center of Excellence. This research project used resources of the National Institute for Computational Sciences (NICS) supported by the NSF under agreement number: OCI 07-11134.5.

FundersFunder number
National Institute for Computational Sciences
National Science FoundationDGE-0801470, OCI 07-11134.5
Tennessee Higher Education Commission

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