Evidence map›Paper›PMID 31766551›Full record

ArticlePolymers2019

Effect of Polymer Demixed Nanotopographies on Bacterial Adhesion and Biofilm Formation.

George Fleming, Jenny Aveyard, Joanne L Fothergill, Fiona McBride, Rasmita Raval, Raechelle A D'Sa

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

6 authors at 1 institution in 1 country.

George FlemingSchool of Engineering, University of Liverpool, Liverpool L69 3GH, UK.
Jenny AveyardSchool of Engineering, University of Liverpool, Liverpool L69 3GH, UK.
Joanne L FothergillInstitute of Infection and Global Health, University of Liverpool, Liverpool L69 7B3, UK.
Fiona McBrideThe Open Innovation Hub for Antimicrobial Surfaces, Surface Science Research Centre, University of Liverpool, Liverpool L69 3BX, UK.
Rasmita RavalThe Open Innovation Hub for Antimicrobial Surfaces, Surface Science Research Centre, University of Liverpool, Liverpool L69 3BX, UK.
Raechelle A D'SaSchool of Engineering, University of Liverpool, Liverpool L69 3GH, UK.
University of Liverpool · GB

Funding

Engineering and Physical Sciences Research Council EP/M027325/1Engineering and Physical Sciences Research Council EP/MO27325/1
6 · The paper itself

Abstract

As the current global threat of antimicrobial resistance (AMR) persists, developing alternatives to antibiotics that are less susceptible to resistance is becoming an urgent necessity. Recent advances in biomaterials have allowed for the development and fabrication of materials with discrete surface nanotopographies that can deter bacteria from adhering to their surface. Using binary polymer blends of polystyrene (PS), poly(methyl methacrylate) (PMMA) and polycaprolactone (PCL) and varying their relative concentrations, PS/PCL, PS/PMMA and PCL/PMMA polymer demixed thin films were developed with nanoisland, nanoribbon and nanopit topographies. In the PS/PCL system, PS segregates to the air-polymer interface, with the lower solubility PCL preferring the substrate-polymer interface. In the PS/PMMA and PCL/PMMA systems, PMMA prefers the air-polymer interface due to its greater solubility and lower surface energy. The anti-adhesion efficacy of the demixed films were tested against

Indexed as

antimicrobialbiofilmbiointerfacesnanotopographypolymer demixing

Identifiers

PMID31766551
PMCPMC6960884
OpenAlexW2989943926

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.