Evidence map›Paper›PMID 29390022›Full record

ArticlePloS one2018

A comparison of methods to assess the antimicrobial activity of nanoparticle combinations on bacterial cells.

Claire Bankier, Yuen Cheong, Suntharavathanan Mahalingam, Mohan Edirisinghe, Guogang Ren, Elaine Cloutman-Green, Lena Ciric

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 93 citations in OpenAlex.

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  16. Enhanced detoxification of CrNanoscale advances · 2023
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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

7 authors at 3 institutions in 1 country.

Claire BankierDepartment of Civil, Environmental and Geomatic Engineering, University College London, London, United Kingdom.ORCID 0000-0003-3139-8018
Yuen CheongSchool of Engineering and Technology, University of Hertfordshire, Hatfield, United Kingdom.
Suntharavathanan MahalingamDepartment of Mechanical Engineering, University College London, London, United Kingdom.
Mohan EdirisingheDepartment of Mechanical Engineering, University College London, London, United Kingdom.
Guogang RenSchool of Engineering and Technology, University of Hertfordshire, Hatfield, United Kingdom.
Elaine Cloutman-GreenDepartment of Civil, Environmental and Geomatic Engineering, University College London, London, United Kingdom.
Lena CiricDepartment of Civil, Environmental and Geomatic Engineering, University College London, London, United Kingdom.
University College London · GBUniversity of Hertfordshire · GBGreat Ormond Street Hospital for Children NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBacterial cell quantification after exposure to antimicrobial compounds varies widely throughout industry and healthcare. Numerous methods are employed to quantify these antimicrobial effects. With increasing demand for new preventative methods for disease control, we aimed to compare and assess common analytical methods used to determine antimicrobial effects of novel nanoparticle combinations on two different pathogens.

methodsPlate counts of total viable cells, flow cytometry (LIVE/DEAD BacLight viability assay) and qPCR (viability qPCR) were used to assess the antimicrobial activity of engineered nanoparticle combinations (NPCs) on Gram-positive (Staphylococcus aureus) and Gram-negative (Pseudomonas aeruginosa) bacteria at different concentrations (0.05, 0.10 and 0.25 w/v%). Results were analysed using linear models to assess the effectiveness of different treatments.

resultsStrong antimicrobial effects of the three NPCs (AMNP0-2) on both pathogens could be quantified using the plate count method and flow cytometry. The plate count method showed a high log reduction (>8-log) for bacteria exposed to high NPC concentrations. We found similar antimicrobial results using the flow cytometry live/dead assay. Viability qPCR analysis of antimicrobial activity could not be quantified due to interference of NPCs with qPCR amplification.

conclusionFlow cytometry was determined to be the best method to measure antimicrobial activity of the novel NPCs due to high-throughput, rapid and quantifiable results.

Indexed as

NanoparticlesAnti-Infective AgentsBacteriaColony Count, MicrobialFlow CytometryMicrobial Sensitivity TestsPseudomonas aeruginosaReal-Time Polymerase Chain ReactionStaphylococcus aureusAnti-Infective Agents

Identifiers

PMID29390022
PMCPMC5794139
OpenAlexW2791136115

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.