Evidence map›Paper›PMID 30775167›Full record

ArticlePeerJ2019

Potential ecotoxicological effects of antimicrobial surface coatings: a literature survey backed up by analysis of market reports.

Merilin Rosenberg, Krunoslav Ilić, Katre Juganson, Angela Ivask, Merja Ahonen, Ivana Vinković Vrček, Anne Kahru

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 76 citations in OpenAlex.

  1. Review
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  6. Experimental evolution ofMicrobiology spectrum · 2025
    Article
  7. Review
  8. Article
  9. Article
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  12. Review
  13. Antimicrobial Nano Coatings.Nanomaterials (Basel, Switzerland) · 2022
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 3 countries.

Merilin Rosenberg *Laboratory of Environmental Toxicology, National Institute of Chemical Physics and Biophysics, Tallinn, Estonia.
Krunoslav Ilić *Institute for Medical Research and Occupational Health, Zagreb, Croatia.
Katre JugansonLaboratory of Environmental Toxicology, National Institute of Chemical Physics and Biophysics, Tallinn, Estonia.
Angela IvaskLaboratory of Environmental Toxicology, National Institute of Chemical Physics and Biophysics, Tallinn, Estonia.
Merja AhonenFaculty of Technology, Satakunta University of Applied Sciences, Rauma, Finland.
Ivana Vinković VrčekInstitute for Medical Research and Occupational Health, Zagreb, Croatia.ORCID 0000-0003-1382-5581
Anne KahruLaboratory of Environmental Toxicology, National Institute of Chemical Physics and Biophysics, Tallinn, Estonia.ORCID 0000-0002-4944-4900
Institute for Medical Research and Occupational Health · HRNational Institute of Chemical Physics and Biophysics · EEEstonian Academy of Sciences · EESatakunta University of Applied Sciences · FITallinn University of Technology · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review was initiated by the COST action CA15114 AMICI "Anti-Microbial Coating Innovations to prevent infectious diseases," where one important aspect is to analyze ecotoxicological impacts of antimicrobial coatings (AMCs) to ensure their sustainable use. Scopus database was used to collect scientific literature on the types and uses of AMCs, while market reports were used to collect data on production volumes. Special attention was paid on data obtained for the release of the most prevalent ingredients of AMCs into the aqueous phase that was used as the proxy for their possible ecotoxicological effects. Based on the critical analysis of 2,720 papers, it can be concluded that silver-based AMCs are by far the most studied and used coatings followed by those based on titanium, copper, zinc, chitosan and quaternary ammonium compounds. The literature analysis pointed to biomedicine, followed by marine industry, construction industry (paints), food industry and textiles as the main fields of application of AMCs. The published data on ecotoxicological effects of AMCs was scarce, and also only a small number of the papers provided information on release of antimicrobial ingredients from AMCs. The available release data allowed to conclude that silver, copper and zinc are often released in substantial amounts (up to 100%) from the coatings to the aqueous environment. Chitosan and titanium were mostly not used as active released ingredients in AMCs, but rather as carriers for other release-based antimicrobial ingredients (e.g., conventional antibiotics). While minimizing the prevalence of healthcare-associated infections appeared to be the most prosperous field of AMCs application, the release of environmentally hazardous ingredients of AMCs into hospital wastewaters and thus, also the environmental risks associated with AMCs, comprise currently only a fraction of the release and risks of traditional disinfectants. However, being proactive, while the use of antimicrobial/antifouling coatings could currently pose ecotoxicological effects mainly in marine applications, the broad use of AMCs in other applications like medicine, food packaging and textiles should be postponed until reaching evidences on the (i) profound efficiency of these materials in controlling the spread of pathogenic microbes and (ii) safety of AMCs for the human and ecosystems.

Indexed as

Antifouling coatingsAntimicrobial coatingsEnvironmental effectsLiterature analysisReleaseSafe-by-design

Identifiers

PMID30775167
PMCPMC6375256
OpenAlexW2914335925

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.