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Cited by 217

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Chitosan-based nanoparticles as drug delivery systems: a review on two decades of research

Naskar, Sweet, Kuotsu, Ketousetuo, Sharma, Suraj·2019·Journal of Drug Targeting

Abstract

Chitosan (CS) is one of the most functional natural biopolymer widely used in the pharmaceutical field due to its biocompatibility and biodegradability. These privileges lead to its application in the synthesis of nanoparticles for the drug during the last two decades. This article gives rise to a general review of the different chitosan nanoparticles (CSNPs) preparation techniques: Ionic gelation, emulsion cross-linking, spray-drying, emulsion-droplet coalescence method, nanoprecipitation, reverse micellar method, desolvation method, modified ionic gelation with radial polymerisation and emulsion solvent diffusion, from the point of view of the methodological and mechanistic aspects involved. The physicochemical behaviour of CSNPs including drug loading, drug release, particles size, zeta potential and stability are briefly discussed. This review also directs to bring an outline of the major applications of CSNPs in drug delivery according to drug and route of administration. Finally, derivatives of CSNPs and CS nano-complexes are also discussed.

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Metadata

Authors
Naskar, S., Kuotsu, K., & Sharma, S.
Venue
Journal of Drug Targeting
Published
2018-09-05
Volume
27
Issue
4
Pages
379-393
ISSN
  • 1026-7158 (ISSN-L)
  • 1061-186X
  • 1029-2330
OpenAlex
W2887267168
Cited by
217
References
5
FWCI
9.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Chitosan-based nanoparticles as drug delivery systems: a review on two decades of research. https://app.cochat.ai/papers/10.1080/1061186x.2018.1512112
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Naskar, S., Kuotsu, K., & Sharma, S. (2019). Chitosan-based nanoparticles as drug delivery systems: a review on two decades of research. Journal of Drug Targeting. https://doi.org/10.1080/1061186x.2018.1512112

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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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