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Cited by 237

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

Chitosan-based nanoparticles: An overview of biomedical applications and its preparation

Naskar, Sweet, Sharma, Suraj, Kuotsu, Ketousetuo·2019·Journal of Drug Delivery Science and Technology

Abstract

Abstract Chitosan (CS) is one of the most successfully developed biodegradable polymers. Among the numerous polymers developed to formulate polymeric nanoparticles, CS has fascinated considerable attention due to its appealing properties: (i) biodegradability and biocompatibility, (ii) FDA approval for wound dressings as well as in dietary application, (iii) non-toxicity, (v) scope of sustained release, (vi) probability to modify surface properties and (vii) scope of target nanoparticles (NPs) to particular organs or cells. This review presents different preparation methods of chitosan nanoparticles (CSNPs) from the methodological and mechanistic point of view. The crosslinking agent including aldehyde, tripolyphosphate (TPP), genipin and other cross linkers and the physicochemical behaviour of CSNPs including drug loading, drug release, particles size, zeta-potential and stability are briefly discussed. This review also presents why CS has been chosen to design nanoparticles (NPs) as drug delivery systems in various pharmaceutical applications.

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Metadata

Authors
Naskar, S., Sharma, S., & Kuotsu, K.
Venue
Journal of Drug Delivery Science and Technology
Publisher
Elsevier BV
Published
2019-02
Volume
49
Pages
66-81
ISSN
1773-2247 (ISSN-L)
OpenAlex
W2898849725
Cited by
237
References
8
FWCI
8.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Chitosan-based nanoparticles: An overview of biomedical applications and its preparation. https://app.cochat.ai/papers/10.1016/j.jddst.2018.10.022
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Naskar, S., Sharma, S., & Kuotsu, K. (2019). Chitosan-based nanoparticles: An overview of biomedical applications and its preparation. Journal of Drug Delivery Science and Technology. https://doi.org/10.1016/j.jddst.2018.10.022

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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