Evidence map›Paper›PMID 42382007›Full record

ArticleACS applied nano materials2026

Superhydrophobic and Water-Repellent Coatings with Dual-Scale Roughness Based on Waterborne MXene Nanocomposites.

Franceska Gojda, Maria Vlasiadi, Alexandros Thomos, Fanourios Krasanakis, Minas M Stylianakis, Kiriaki Chrissopoulou, Spiros H Anastasiadis

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Article in ACS applied nano materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Franceska GojdaInstitute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Heraklion Crete 700 13, Greece.
Maria VlasiadiInstitute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Heraklion Crete 700 13, Greece.
Alexandros ThomosInstitute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Heraklion Crete 700 13, Greece.
Fanourios KrasanakisInstitute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Heraklion Crete 700 13, Greece.
Minas M StylianakisInstitute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Heraklion Crete 700 13, Greece.ORCID https://orcid.org/0000-0002-6718-3804
Kiriaki ChrissopoulouInstitute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Heraklion Crete 700 13, Greece.ORCID https://orcid.org/0000-0001-8908-5909
Spiros H AnastasiadisInstitute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Heraklion Crete 700 13, Greece.ORCID https://orcid.org/0000-0003-0936-1614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of superhydrophobic and water-repellent surfaces utilizing a facile, economic and environmental-friendly way constitute an important scientific challenge since these materials find applications in a great number of industrial sectors as manufacturing, healthcare, and everyday consumer products. In this work, two-dimensional layered MXenes are utilized as functional additives for the development of superhydrophobic and water-repellent coatings prepared using waterborne nanocomposite formulations, which contain a low surface energy, short-chain perfluoroalkyl silanol, to provide the appropriate hydrophobicity; the nanoadditives are introduced to create the necessary surface roughness. While traditional methods typically employ 0D nanoparticles to achieve surface nanostructuring, the flake-like structure of Ti

Indexed as

2D nanoadditivescontact anglecontact angle hysteresisMXenessuperhydrophobic surfaceswater-based nanocomposite coatings

Identifiers

PMID42382007
PMCPMC13317936

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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.