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Cited by 533

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Photo-responsive block copolymer micelles: design and behavior

Open access
Gohy, Jean-François, Zhao, Yue·2013·Chemical Society Reviews

Abstract

Stimuli-responsive block copolymer micelles are the topic of intense research since they are able to show sharp and eventually reversible responses to various environmental changes and find applications in various fields including controlled drug delivery. Among all the available stimuli, light has recently attracted much attention since it can be localized in time and space, and it can also be triggered from outside of the system. In this tutorial review, we highlight the progress realized in recent years. More precisely, we provide some guidelines towards the rational design of photo-responsive block copolymers and we present the different photo-responsive moieties that have been used so far. We also discuss the different types of irreversible and reversible responses encountered by photo-responsive block copolymer micelles. Finally, we suggest possible future developments including the design of biocompatible systems operating at excitation wavelengths compatible for biomedical applications.

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Metadata

Authors
Gohy, J.-F., & Zhao, Y.
Venue
Chemical Society Reviews
Published
2013
Volume
42
Issue
17
Pages
7117
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W2090797725
Cited by
533
References
2
FWCI
2.36
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Photo-responsive block copolymer micelles: design and behavior. https://app.cochat.ai/papers/10.1039/c3cs35469e
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Gohy, J.-F., & Zhao, Y. (2013). Photo-responsive block copolymer micelles: design and behavior. Chemical Society Reviews. https://doi.org/10.1039/c3cs35469e

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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.