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Light-Controlled Radical Polymerization: Mechanisms, Methods, and Applications

Open access
Chen, Mao, Zhong, Mingjiang, Johnson, Jeremiah A.·2016·Chemical Reviews

Abstract

The use of light to mediate controlled radical polymerization has emerged as a powerful strategy for rational polymer synthesis and advanced materials fabrication. This review provides a comprehensive survey of photocontrolled, living radical polymerizations (photo-CRPs). From the perspective of mechanism, all known photo-CRPs are divided into either (1) intramolecular photochemical processes or (2) photoredox processes. Within these mechanistic regimes, a large number of methods are summarized and further classified into subcategories based on the specific reagents, catalysts, etc., involved. To provide a clear understanding of each subcategory, reaction mechanisms are discussed. In addition, applications of photo-CRP reported so far, which include surface fabrication, particle preparation, photoresponsive gel design, and continuous flow technology, are summarized. We hope this review will not only provide informative knowledge to researchers in this field but also stimulate new ideas and applications to further advance photocontrolled reactions.

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Metadata

Authors
Chen, M., Zhong, M., & Johnson, J. A.
Venue
Chemical Reviews
Published
2016-03-15
Volume
116
Issue
17
Pages
10167-10211
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W2299481623
Cited by
1,202
References
10
FWCI
3.11
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Light-Controlled Radical Polymerization: Mechanisms, Methods, and Applications. https://app.cochat.ai/papers/10.1021/acs.chemrev.5b00671
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Chen, M., Zhong, M., & Johnson, J. A. (2016). Light-Controlled Radical Polymerization: Mechanisms, Methods, and Applications. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.5b00671

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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.