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From polymeric particles to multifunctional nanocapsules for biomedical applications using the miniemulsion process

Landfester, Katharina, Musyanovych, Anna, Mailänder, Volker·2010·Journal of Polymer Science Part A: Polymer Chemistry

Abstract

The miniemulsions process represents a versatile tool for the formation of polymeric nanoparticles consisting of different kinds of polymer as obtained by a variety of polymerization types ranging from radical, anionic, cationic, enzymatic polymerization to polyaddition, and polycondensation. The process perfectly allows the encapsulation of hydrophilic and hydrophobic liquids and solids in polymeric shells, molecularly dissolved dyes or other components. In combination with a specific functionalization of the nanoparticles' or nanocapsules' surfaces and the possibility to release substances in a defined way from the interior, complex nanoparticles or nanocapsules are obtained, which are ideally suited for application in biomedical application as marker and targeted drug‐delivery system. © 2009 Wiley Periodicals, Inc. J Polym Sci Part A: Polym Chem 48: 493–515, 2010

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Metadata

Authors
Landfester, K., Musyanovych, A., & Mailänder, V.
Venue
Journal of Polymer Science Part A: Polymer Chemistry
Publisher
Wiley
Published
2009-12-18
Volume
48
Issue
3
Pages
493-515
ISSN
  • 0887-624X (ISSN-L)
  • 1099-0518
OpenAlex
W1988296513
Cited by
173
References
5
FWCI
5.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: From polymeric particles to multifunctional nanocapsules for biomedical applications using the miniemulsion process. https://app.cochat.ai/papers/10.1002/pola.23786
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Landfester, K., Musyanovych, A., & Mailänder, V. (2010). From polymeric particles to multifunctional nanocapsules for biomedical applications using the miniemulsion process. Journal of Polymer Science Part A: Polymer Chemistry. https://doi.org/10.1002/pola.23786

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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.