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Cited by 382

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

Smart Hydrogels for Advanced Drug Delivery Systems

Open access
Bordbar-Khiabani, Aydin, Gasik, Michael·2022·International Journal of Molecular Sciences

Abstract

Since the last few decades, the development of smart hydrogels, which can respond to stimuli and adapt their responses based on external cues from their environments, has become a thriving research frontier in the biomedical engineering field. Nowadays, drug delivery systems have received great attention and smart hydrogels can be potentially used in these systems due to their high stability, physicochemical properties, and biocompatibility. Smart hydrogels can change their hydrophilicity, swelling ability, physical properties, and molecules permeability, influenced by external stimuli such as pH, temperature, electrical and magnetic fields, light, and the biomolecules’ concentration, thus resulting in the controlled release of the loaded drugs. Herein, this review encompasses the latest investigations in the field of stimuli-responsive drug-loaded hydrogels and our contribution to this matter.

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Crossref · 10.3390/ijms23073665

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Metadata

Authors
Bordbar-Khiabani, A., & Gasik, M.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2022-03-27
Volume
23
Issue
7
Pages
3665
ISSN
1422-0067 (ISSN-L)
OpenAlex
W4220940704
Cited by
382
References
88
FWCI
21.10
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Smart Hydrogels for Advanced Drug Delivery Systems. https://app.cochat.ai/papers/10.3390/ijms23073665
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Bordbar-Khiabani, A., & Gasik, M. (2022). Smart Hydrogels for Advanced Drug Delivery Systems. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms23073665

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.