Evidence map›Paper›PMID 36881460›Full record

ArticleAnalytical chemistry2023

Probing Interkingdom Signaling Molecules via Liquid Extraction Surface Analysis-Mass Spectrometry.

Shaun N Robertson, Fadi Soukarieh, Thomas M White, Miguel Camara, Manuel Romero, Rian L Griffiths

Open access · hybridFull text read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

6 authors at 3 institutions in 2 countries.

Shaun N RobertsonU.K. National Biofilm Innovation Centre (NBIC), Biodiscovery Institute, School of Life Sciences, Faculty of Health and Medical Sciences, University of Nottingham, NG7 2RD Nottingham, U.K.
Fadi SoukariehU.K. National Biofilm Innovation Centre (NBIC), Biodiscovery Institute, School of Life Sciences, Faculty of Health and Medical Sciences, University of Nottingham, NG7 2RD Nottingham, U.K.ORCID 0000-0002-6730-2543
Thomas M WhiteFaculty of Science, School of Pharmacy, University of Nottingham, NG7 2RD Nottingham, U.K.
Miguel CamaraU.K. National Biofilm Innovation Centre (NBIC), Biodiscovery Institute, School of Life Sciences, Faculty of Health and Medical Sciences, University of Nottingham, NG7 2RD Nottingham, U.K.
Manuel RomeroU.K. National Biofilm Innovation Centre (NBIC), Biodiscovery Institute, School of Life Sciences, Faculty of Health and Medical Sciences, University of Nottingham, NG7 2RD Nottingham, U.K.
Rian L GriffithsFaculty of Science, School of Pharmacy, University of Nottingham, NG7 2RD Nottingham, U.K.ORCID 0000-0002-1601-4664
Nottingham Biomedical Research Centre · GBUniversity of Nottingham · GBUniversidade de Santiago de Compostela · ES

Funding

Biotechnology and Biological Sciences Research Council BB/R012415/1
6 · The paper itself

Abstract

Previously, metabolites diffused or secreted from microbial samples have been analyzed via liquid chromatography-mass spectrometry (LC-MS) approaches following lengthy extraction protocols. Here, we present a model system for growing biofilms on discs before utilizing rapid and direct surface sampling MS, namely, liquid extraction surface analysis, to study the microbial exometabolome. One of the benefits of this approach is its surface-specific nature, enabling mimicking biofilm formation in a way that the study of planktonic liquid cultures cannot imitate. Even though

Indexed as

Quorum SensingStaphylococcus aureusBiofilmsChromatography, LiquidMass SpectrometryPseudomonas aeruginosa

Identifiers

PMID36881460
PMCPMC10034741
OpenAlexW4323348040

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read7
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.