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Anti-fouling Coatings of Poly(dimethylsiloxane) Devices for Biological and Biomedical Applications

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Zhang, Hongbin, Chiao, Mu·2015·Journal of Medical and Biological Engineering

Abstract

Fouling initiated by nonspecific protein adsorption is a great challenge in biomedical applications, including biosensors, bioanalytical devices, and implants. Poly(dimethylsiloxane) (PDMS), a popular material with many attractive properties for device fabrication in the biomedical field, suffers serious fouling problems from protein adsorption due to its hydrophobic nature, which limits the practical use of PDMS-based devices. Effort has been made to develop biocompatible materials for anti-fouling coatings of PDMS. In this review, typical nonfouling materials for PDMS coatings are introduced and the associated basic anti-fouling mechanisms, including the steric repulsion mechanism and the hydration layer mechanism, are described. Understanding the relationships between the characteristics of coating materials and the accompanying anti-fouling mechanisms is critical for preparing PDMS coatings with desirable anti-fouling properties.

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Metadata

Authors
Zhang, H., & Chiao, M.
Venue
Journal of Medical and Biological Engineering
Published
2015-04
Volume
35
Issue
2
Pages
143-155
ISSN
  • 1609-0985 (ISSN-L)
  • 2199-4757
OpenAlex
W289241723
Cited by
415
References
0
FWCI
13.72
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Anti-fouling Coatings of Poly(dimethylsiloxane) Devices for Biological and Biomedical Applications. https://app.cochat.ai/papers/10.1007/s40846-015-0029-4
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Zhang, H., & Chiao, M. (2015). Anti-fouling Coatings of Poly(dimethylsiloxane) Devices for Biological and Biomedical Applications. Journal of Medical and Biological Engineering. https://doi.org/10.1007/s40846-015-0029-4

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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.