Evidence map›Paper›PMID 32164408›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2020

Effect of Ageing on the Structure and Properties of Model Liquid-Infused Surfaces.

Sarah J Goodband, Steven Armstrong, Halim Kusumaatmaja, Kislon Voı Tchovsky

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Silicone Oil-Grafted Low-Hysteresis Water-Repellent Surfaces.ACS applied materials & interfaces · 2023
    Article
  7. Review
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

4 authors.

Sarah J GoodbandDepartment of Physics, Durham University, Durham DH1 3LE, U.K.
Steven ArmstrongSmart Materials & Surfaces Laboratory, Faculty of Engineering & Environment, Northumbria University, Newcastle Upon Tyne NE18ST, U.K.ORCID http://orcid.org/0000-0002-0520-8498
Halim KusumaatmajaDepartment of Physics, Durham University, Durham DH1 3LE, U.K.ORCID http://orcid.org/0000-0002-3392-9479
Kislon Voı TchovskyDepartment of Physics, Durham University, Durham DH1 3LE, U.K.ORCID http://orcid.org/0000-0001-7760-4732

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid-infused surfaces (LISs) exhibit unique properties that make them ideal candidates for a wide range of applications, from antifouling and anti-icing coatings to self-healing surfaces and controlled wetting. However, when exposed to realistic environmental conditions, LISs tend to age and progressively lose their desirable properties, potentially compromising their application. The associated ageing mechanisms are still poorly understood, and results reflecting real-life applications are scarce. Here, we track the ageing of a model LIS composed of glass surfaces functionalized with hydrophobic nanoparticles and infused with silicone oil. The LISs are fully submerged in aqueous solutions and exposed to acoustic pressure waves for set time intervals. The ageing is monitored by periodic measurements of the LIS's wetting properties. We also track the changes to the LIS's nanoscale structure. We find that the LISs rapidly lose their slippery properties because of a combination of oil loss, smoothing of the nanoporous functional layer, and substrate degradation when directly exposed to the solution. The oil loss is consistent with water microdroplets entering the oil layer and displacing oil away from the surface. These mechanisms are general and could play a role in the ageing of most LISs.

Identifiers

PMID32164408
PMCPMC7146855

What OpenQuestion holds

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Registered trials

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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.