Evidence map›Paper›PMID 33447814›Full record

ArticleBiofilm2020

Surface functionalization-dependent localization and affinity of SiO

Dishon Wayne Hiebner, Caio Barros, Laura Quinn, Stefania Vitale, Eoin Casey

Abstract read
In one paragraph

Article in Biofilm, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Understanding bacterial biofilms: From definition to treatment strategies.Frontiers in cellular and infection microbiology · 2023
    Pooled it
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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

5 authors.

Dishon Wayne HiebnerUCD School of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Dublin 4, Dublin, Ireland.
Caio BarrosUCD School of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Dublin 4, Dublin, Ireland.
Laura QuinnUCD School of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Dublin 4, Dublin, Ireland.
Stefania VitaleUCD School of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Dublin 4, Dublin, Ireland.
Eoin CaseyUCD School of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Dublin 4, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The contribution of the biofilm extracellular polymeric substance (EPS) matrix to reduced antimicrobial susceptibility in biofilms is widely recognised. As such, the direct targeting of the EPS matrix is a promising biofilm control strategy that allows for the disruption of the matrix, thereby allowing a subsequent increase in susceptibility to antimicrobial agents. To this end, surface-functionalized nanoparticles (NPs) have received considerable attention. However, the fundamental understanding of the interactions occurring between engineered NPs and the biofilm EPS matrix has not yet been fully elucidated. An insight into the underlying mechanisms involved when a NP interacts with the EPS matrix will aid in the design of more efficient NPs for biofilm control. Here we demonstrate the use of highly specific fluorescent probes in confocal laser scanning microscopy (CLSM) to illustrate the distribution of EPS macromolecules within the biofilm. Thereafter, a three-dimensional (3D) colocalization analysis was used to assess the affinity of differently functionalized silica NPs (SiNPs) and EPS macromolecules from

Indexed as

Bacterial biofilmColocalizationEPS matrixNanoparticlesPhysicochemical interactionsPseudomonas fluorescens

Identifiers

PMID33447814
PMCPMC7798476

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.