The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Polyelectrolyte Multilayers: A Versatile Tool for Preparing Antimicrobial Coatings
Open accessAbstract
The prevention of pathogen colonization of medical implants represents a major medical and financial issue. The development of antimicrobial coatings aimed at protecting against such infections has thus become a major field of scientific and technological research. Three main strategies are developed to design such coatings: (i) the prevention of microorganisms adhesion and the killing of microorganisms (ii) by contact and (iii) by the release of active compounds in the vicinity of the implant. Polyelectrolyte multilayer (PEM) technology alone covers the entire widespread spectrum of functionalization possibilities. PEMs are obtained through the alternating deposition of polyanions and polycations on a substrate, and the great advantages of PEMs are that (i) they can be applied to almost any type of substrate whatever its shape and composition; (ii) various chemical, physicochemical, and mechanical properties of the coatings can be obtained; and (iii) active compounds can be embedded and released in a controlled manner. In this article we will give an overview of the field of PEMs applied to the design of antimicrobial coatings, illustrating the large versatility of the PEM technology.
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.
Integrity signals
Registry
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.
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
Two-level antibacterial coating with both release-killing and contact-killing capabilities
Li, Z., Lee, D., Sheng, X., Cohen, R. E., & Rubner, M. F. (2006) · Langmuir · doi:10.1021/la0622166 · Cited by 436
Cited by
Smart Antibacterial Surfaces with Switchable Bacteria-Killing and Bacteria-Releasing Capabilities
Wei, T., Tang, Z., Yu, Q., & Chen, H. (2017) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b13565 · Cited by 382
Metadata
- Authors
- Séon, L., Lavalle, P., Schaaf, P., & Boulmedais, F.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-11-18
- Volume
- 31
- Issue
- 47
- Pages
- 12856-12872
- ISSN
- 0743-7463 (ISSN-L)
- 1520-5827
- OpenAlex
- W1873977011
- Cited by
- 162
- References
- 1
- FWCI
- 6.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Polyelectrolyte Multilayers: A Versatile Tool for Preparing Antimicrobial Coatings. https://app.cochat.ai/papers/10.1021/acs.langmuir.5b02768
- The paper
- Séon, L., Lavalle, P., Schaaf, P., & Boulmedais, F. (2015). Polyelectrolyte Multilayers: A Versatile Tool for Preparing Antimicrobial Coatings. Langmuir. https://doi.org/10.1021/acs.langmuir.5b02768
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.