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On the molecular basis of fouling resistance

Morra, Marco·2000·Journal of Biomaterials Science, Polymer Edition

Abstract

This paper presents a review of models used to describe the properties of fouling resistant surfaces, i.e. the relationship between molecular structure and resistance to adsorption/adhesion of biological moieties. In particular, the well established 'physical' school of thought, mostly based on ideas stemming from the Alexander--De Gennes theory of polymer interfaces, which appears especially suitable for the modeling of resistance to bio-adhesion in terms of entropic effects, is compared to approaches that call into play the role of interfacial forces based on hydrogen bonding and molecular conformations. It is underlined that the presently prevailing view based on 'steric' stabilization effects is based on models that do not take into account some of the most fundamental aspects of water-soluble polymers and that, within this approximation, repulsive forces resulting from the 'compression' of tethered layers is the only possible explanation. When effects typical of water, such as hydrogen bonding, are considered, different pictures arise, even if their quantification poses several analytical challenges and new theoretical problems.

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Metadata

Authors
Morra, M.
Venue
Journal of Biomaterials Science, Polymer Edition
Published
2000-01
Volume
11
Issue
6
Pages
547-569
ISSN
  • 0920-5063 (ISSN-L)
  • 1568-5624
OpenAlex
W2083345634
Cited by
270
References
0
FWCI
6.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On the molecular basis of fouling resistance. https://app.cochat.ai/papers/10.1163/156856200743869
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Morra, M. (2000). On the molecular basis of fouling resistance. Journal of Biomaterials Science, Polymer Edition. https://doi.org/10.1163/156856200743869

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.