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Mesoscopic simulations of hydrophilic cross-linked polycarbonate polyurethane networks: structure and morphology.
- Source :
-
Soft matter [Soft Matter] 2016 Jun 14; Vol. 12 (22), pp. 5029-40. Date of Electronic Publication: 2016 May 13. - Publication Year :
- 2016
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Abstract
- Polyurethane (PU) cross-linked networks are frequently used in biomedical and marine applications, e.g., as hydrophilic polymer coatings with antifouling or low-friction properties and have been reported to exhibit characteristic phase separation between soft and hard segments. Understanding this phase-separation behavior is critical to design novel hydrophilic polymer coatings. However, most of the studies on the structure and morphology of cross-linked coatings are experimental, which only assess the phase separation via indirect methods. Herein we present a mesoscopic simulation study of the network characteristics of model hydrophilic polymer networks, consisting of PU with and without methyl-polyethylene glycol (mPEG) dangling chains. The systems are analyzed using a number of tools, such as the radial distribution function, the cross-link point density distribution and the Voronoi volume distribution (of the cross-linking points). The combined results show that the cross-linked networks without dangling chains are rather homogeneous but contain a small amount of clustering of cross-linker molecules. A clear phase separation is observed when introducing the dangling chains. In spite of that, the amount of cross-linker molecules connected to dangling chains only, i.e., not connected to the main network, is relatively small, leading to about 3 wt% extractables. Thus, these cross-linked polymers consist of a phase-separated, yet highly connected network. This study provides valuable guidelines towards new self-healing hydrophilic coatings based on the molecular design of cross-linked networks in direct contact with water or aqueous fluids, e.g., as anti-fouling self-repairing coatings for marine applications.
Details
- Language :
- English
- ISSN :
- 1744-6848
- Volume :
- 12
- Issue :
- 22
- Database :
- MEDLINE
- Journal :
- Soft matter
- Publication Type :
- Academic Journal
- Accession number :
- 27174657
- Full Text :
- https://doi.org/10.1039/c6sm00621c