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Stimulus responsive core-shell nanoparticles: synthesis and applications of polymer based aqueous systems

Cayre, Olivier J., Chagneux, Nelly, Biggs, Simon·2011·Soft Matter

Abstract

In this article we review the current state of knowledge in the field of responsive nanoparticles for aqueous-based systems. The review focuses on the use of stimuli-responsive copolymers that can either self-assemble into ‘soft’ nanoparticles or that are attached to the surface of solid nanoparticles. We first describe the most common methods for synthesizing the different responsive polymers used in the design of such nanoparticles, highlighting living radical polymerization techniques in particular. Subsequently, we give examples of how copolymers containing such responsive blocks can self-assemble into a wide range of ‘soft’ structures. We also depict the main techniques for attaching responsive polymers to the surface of solid nanoparticles and list advantages and drawbacks of each. Finally, for both soft self-assembled systems and solid core-polymer shell systems, we show specific examples of these systems used in a varied range of applications including drug delivery, smart emulsifiers, transport across membranes, sensors and coatings.

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Crossref · 10.1039/c0sm01072c

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Metadata

Authors
Cayre, O. J., Chagneux, N., & Biggs, S.
Venue
Soft Matter
Published
2011
Volume
7
Issue
6
Pages
2211-2234
ISSN
  • 1744-683X (ISSN-L)
  • 1744-6848
OpenAlex
W1965381245
Cited by
200
References
7
FWCI
8.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Stimulus responsive core-shell nanoparticles: synthesis and applications of polymer based aqueous systems. https://app.cochat.ai/papers/10.1039/c0sm01072c
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Cayre, O. J., Chagneux, N., & Biggs, S. (2011). Stimulus responsive core-shell nanoparticles: synthesis and applications of polymer based aqueous systems. Soft Matter. https://doi.org/10.1039/c0sm01072c

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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.