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Cited by 531

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Surface Treatments of Polymers for Biocompatibility

Elbert, D L, Hubbell, J A·1996·Annual Review of Materials Science

Abstract

Biological recognition mediates cell and tissue interactions with biomaterials, be the materials employed in a biotechnical environment in vitro or a biomedical environment in vivo. These interactions are typically mediated by proteins that have adsorbed to the biomaterial surface. The principles of protein adsorption and biological recognition are described. Polymer surface modifications to reduce protein adsorption upon biomaterial surfaces are summarized, as are modifications to enhance the irreversible adsorption of proteins. Using these approaches, it may be possible to reduce the extent to which the biomaterial surface and the protein-biomaterial surface are recognized by cells and tissues. Polymer surface modifications to incorporate oligopeptide-, saccharide-, and oligosaccharide-based receptor-binding sequences are described to enable direct binding of cells with the polymer surface. With use of these approaches, it is possible to endow an entirely synthetic material with the biological recognition characteristics of biological macromolecules.

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Metadata

Authors
Elbert, D. L., & Hubbell, J. A.
Venue
Annual Review of Materials Science
Published
1996-08
Volume
26
Issue
1
Pages
365-394
ISSN
0084-6600 (ISSN-L)
OpenAlex
W2126758920
Cited by
531
References
0
FWCI
10.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Surface Treatments of Polymers for Biocompatibility. https://app.cochat.ai/papers/10.1146/annurev.ms.26.080196.002053
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Elbert, D. L., & Hubbell, J. A. (1996). Surface Treatments of Polymers for Biocompatibility. Annual Review of Materials Science. https://doi.org/10.1146/annurev.ms.26.080196.002053

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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.