Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 660

The DOI matches its Crossref record.

Chitosan Nanoparticles: A Promising System in Novel Drug Delivery

Open access
Nagpal, Kalpana, Singh, Shailendra Kumar, Mishra, Dina Nath·2010·CHEMICAL & PHARMACEUTICAL BULLETIN

Abstract

The ability of nanoparticles to manipulate the molecules and their structures has revolutionized the conventional drug delivery system. The chitosan nanoparticles, because of their biodegradability, biocompatibility, better stability, low toxicity, simple and mild preparation methods, offer a valuable tool to novel drug delivery systems in the present scenario. Besides ionotropic gelation method, other methods such as microemulsion method, emulsification solvent diffusion method, polyelectrolyte complex method, emulsification cross-linking method, complex coacervation method and solvent evaporation method are also in use. The chitosan nanoparticles have also been reported to have key applications in parentral drug delivery, per-oral administration of drugs, in non-viral gene delivery, in vaccine delivery, in ocular drug delivery, in electrodeposition, in brain targeting drug delivery, in stability improvement, in mucosal drug delivery in controlled drug delivery of drugs, in tissue engineering and in the effective delivery of insulin. The present review describes origin and properties of chitosan and its nanoparticles along with the different methods of its preparation and the various areas of novel drug delivery where it has got its application.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1248/cpb.58.1423

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 660

Metadata

Authors
Nagpal, K., Singh, S. K., & Mishra, D. N.
Venue
CHEMICAL & PHARMACEUTICAL BULLETIN
Published
2010
Volume
58
Issue
11
Pages
1423-1430
ISSN
  • 0009-2363 (ISSN-L)
  • 1347-5223
OpenAlex
W2037306331
Cited by
660
References
0
FWCI
18.50
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Chitosan Nanoparticles: A Promising System in Novel Drug Delivery. https://app.cochat.ai/papers/10.1248/cpb.58.1423
The paper
Nagpal, K., Singh, S. K., & Mishra, D. N. (2010). Chitosan Nanoparticles: A Promising System in Novel Drug Delivery. CHEMICAL & PHARMACEUTICAL BULLETIN. https://doi.org/10.1248/cpb.58.1423

Data sources

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.