Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 322

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Antifouling and antimicrobial biomaterials: an overview

Francolini, Iolanda, Vuotto, Claudia, Piozzi, Antonella, Donelli, Gianfranco·2017·APMIS

Abstract

The use of implantable medical devices is a common and indispensable part of medical care for both diagnostic and therapeutic purposes. However, as side effect, the implant of medical devices quite often leads to the occurrence of difficult‐to‐treat infections, as a consequence of the colonization of their abiotic surfaces by biofilm‐growing microorganisms increasingly resistant to antimicrobial therapies. A promising strategy to combat device‐related infections is based on anti‐infective biomaterials that either repel microbes, so they cannot attach to the device surfaces, or kill them in the surrounding areas. In general, such biomaterials are characterized by antifouling coatings, exhibiting low adhesion or even repellent properties towards microorganisms, or antimicrobial coatings, able to kill microbes approaching the surface. In this light, the present overview will address the development in the last two decades of antifouling and antimicrobial biomaterials designed to potentially limit the initial stages of microbial adhesion, as well as the microbial growth and biofilm formation on medical device surfaces.

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 · 10.1111/apm.12675

Cites

10 of 10 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 10 references

Cited by

See all 322

Metadata

Authors
Francolini, I., Vuotto, C., Piozzi, A., & Donelli, G.
Venue
APMIS
Publisher
Wiley
Published
2017-04
Volume
125
Issue
4
Pages
392-417
ISSN
  • 0903-4641 (ISSN-L)
  • 1600-0463
OpenAlex
W2605616341
Cited by
322
References
10
FWCI
21.85
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: Antifouling and antimicrobial biomaterials: an overview. https://app.cochat.ai/papers/10.1111/apm.12675
The paper
Francolini, I., Vuotto, C., Piozzi, A., & Donelli, G. (2017). Antifouling and antimicrobial biomaterials: an overview. APMIS. https://doi.org/10.1111/apm.12675

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.