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The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Polysaccharide-based nanoparticles for theranostic nanomedicine

Open access
Swierczewska, M., Han, H.S., Kim, K., Park, J.H., Lee, S.·2016·Advanced Drug Delivery Reviews

Abstract

Polysaccharides are natural biological molecules that have numerous advantages for theranostics, the integrated approach of therapeutics and diagnostics. Their derivable reactive groups can be leveraged for functionalization with a nanoparticle-enabling conjugate, therapeutics (small molecules, proteins, peptides, photosensitizers) and/or diagnostic agents (imaging agents, sensors). In addition, polysaccharides are diverse in size and charge, biodegradable and abundant and show low toxicity in vivo. Polysaccharide-based nanoparticles are increasingly being used as platforms for simultaneous drug delivery and imaging and are therefore becoming popular theranostic nanoparticles. The review focuses on the method of nanoparticle formation (self-assembled, physical or chemical cross-linked) when engineering polysaccharide-based nanoparticles for theranostic nanomedicine. We highlight recent examples of polysaccharides-based theranostic systems from literature and their potential for use in the clinic, particularly chitosan- and hyaluronic acid-based NPs.

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Crossref · 10.1016/j.addr.2015.11.015

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Metadata

Authors
Swierczewska, M., Han, H. S., Kim, K., Park, J. H., & Lee, S.
Venue
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Published
2016-04
Volume
99
Issue
Pt A
Pages
70-84
ISSN
0169-409X (ISSN-L)
OpenAlex
W2177205490
Cited by
415
References
8
FWCI
1.03
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Polysaccharide-based nanoparticles for theranostic nanomedicine. https://app.cochat.ai/papers/10.1016/j.addr.2015.11.015
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Swierczewska, M., Han, H. S., Kim, K., Park, J. H., & Lee, S. (2016). Polysaccharide-based nanoparticles for theranostic nanomedicine. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2015.11.015

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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.