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Cited by 181

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Injectable thermosensitive hydrogel systems based on functional PEG/PCL block polymer for local drug delivery

Deng, Hongzhang, Dong, Anjie, Song, Jibin, Chen, Xiaoyuan·2019·Journal of Controlled Release

Abstract

Injectable in situ thermosensitive hydrogels have potential applications in tissue engineering and drug delivery. The hydrogel formulations exist as aqueous solutions at room temperature but rapidly solidify into gels at 37 °C in situ, making them highly suitable for administering drugs in a minimally invasive manner to the target organ(s). The hydrogel formed with nanoparticles assembled with amphiphilic polymer blocks of polyethyleneglycol (PEG) and biodegradable polycaprolactone (PCL) have been tested as platforms for targeted and sustained drug delivery, and have shown encouraging results. In this review, we summarize the influence of the molecular weight, PEG/PCL ratio and functional structure of hydrophobic PCL blocks on the critical gelation temperature, gelling behavior and drug release kinetics of the hydrogels. The current studies on the biomedical applications of thermosensitive PEG/PCL hydrogels have also been discussed.

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Metadata

Authors
Deng, H., Dong, A., Song, J., & Chen, X.
Venue
Journal of Controlled Release
Publisher
Elsevier BV
Published
2019-03
Volume
297
Pages
60-70
ISSN
0168-3659 (ISSN-L)
OpenAlex
W2915061266
Cited by
181
References
3
FWCI
5.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Injectable thermosensitive hydrogel systems based on functional PEG/PCL block polymer for local drug delivery. https://app.cochat.ai/papers/10.1016/j.jconrel.2019.01.026
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Deng, H., Dong, A., Song, J., & Chen, X. (2019). Injectable thermosensitive hydrogel systems based on functional PEG/PCL block polymer for local drug delivery. Journal of Controlled Release. https://doi.org/10.1016/j.jconrel.2019.01.026

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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.