Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 784

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Antibacterial activity of chitosan and its derivatives and their interaction mechanism with bacteria: Current state and perspectives

Li, Jianhui, Zhuang, Shaoling·2020·European Polymer Journal

Abstract

Abstract Chitosan has fascinating antibacterial activity, good biodegradation, outstanding biocompatibility, non-toxicity and excellent physical and chemical properties. As a result, chitosan has been widely used in the field of antibacterial. Chitosan and its derivatives show antibacterial activity against fungi, gram-positive bacteria and gram-negative bacteria. In recent years, there have been some reviews about the antibacterial activity of chitosan and its derivatives. This review adds many valuable concerns on the basis of those previous reviews. For example, composite of chitosan and metal, composite of chitosan and metal oxide, etc. This review will systematically analyze various influencing factors of chitosan, so as to clearly summarize the antibacterial mechanism of chitosan. Finally, the challenges and prospects of chitosan-based materials as antimicrobial agents are assessed and commented.

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 · 10.1016/j.eurpolymj.2020.109984

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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

Cites

Show all 2 references

Cited by

See all 784

Metadata

Authors
Li, J., & Zhuang, S.
Venue
European Polymer Journal
Publisher
Elsevier BV
Published
2020-09
Volume
138
Pages
109984
ISSN
0014-3057 (ISSN-L)
OpenAlex
W3081687669
Cited by
784
References
2
FWCI
19.82
Type
journal article
Language
en
Open access
closed

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: Antibacterial activity of chitosan and its derivatives and their interaction mechanism with bacteria: Current state and perspectives. https://app.cochat.ai/papers/10.1016/j.eurpolymj.2020.109984
The paper
Li, J., & Zhuang, S. (2020). Antibacterial activity of chitosan and its derivatives and their interaction mechanism with bacteria: Current state and perspectives. European Polymer Journal. https://doi.org/10.1016/j.eurpolymj.2020.109984

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.