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

BACKGROUND: Bacterial 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 an...

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Autores principales: Bankier, Claire, Cheong, Yuen, Mahalingam, Suntharavathanan, Edirisinghe, Mohan, Ren, Guogang, Cloutman-Green, Elaine, Ciric, Lena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794139/
https://www.ncbi.nlm.nih.gov/pubmed/29390022
http://dx.doi.org/10.1371/journal.pone.0192093
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author Bankier, Claire
Cheong, Yuen
Mahalingam, Suntharavathanan
Edirisinghe, Mohan
Ren, Guogang
Cloutman-Green, Elaine
Ciric, Lena
author_facet Bankier, Claire
Cheong, Yuen
Mahalingam, Suntharavathanan
Edirisinghe, Mohan
Ren, Guogang
Cloutman-Green, Elaine
Ciric, Lena
author_sort Bankier, Claire
collection PubMed
description BACKGROUND: Bacterial 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. METHODS: Plate 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. RESULTS: Strong 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. CONCLUSION: Flow cytometry was determined to be the best method to measure antimicrobial activity of the novel NPCs due to high-throughput, rapid and quantifiable results.
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spelling pubmed-57941392018-02-16 A comparison of methods to assess the antimicrobial activity of nanoparticle combinations on bacterial cells Bankier, Claire Cheong, Yuen Mahalingam, Suntharavathanan Edirisinghe, Mohan Ren, Guogang Cloutman-Green, Elaine Ciric, Lena PLoS One Research Article BACKGROUND: Bacterial 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. METHODS: Plate 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. RESULTS: Strong 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. CONCLUSION: Flow cytometry was determined to be the best method to measure antimicrobial activity of the novel NPCs due to high-throughput, rapid and quantifiable results. Public Library of Science 2018-02-01 /pmc/articles/PMC5794139/ /pubmed/29390022 http://dx.doi.org/10.1371/journal.pone.0192093 Text en © 2018 Bankier et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bankier, Claire
Cheong, Yuen
Mahalingam, Suntharavathanan
Edirisinghe, Mohan
Ren, Guogang
Cloutman-Green, Elaine
Ciric, Lena
A comparison of methods to assess the antimicrobial activity of nanoparticle combinations on bacterial cells
title A comparison of methods to assess the antimicrobial activity of nanoparticle combinations on bacterial cells
title_full A comparison of methods to assess the antimicrobial activity of nanoparticle combinations on bacterial cells
title_fullStr A comparison of methods to assess the antimicrobial activity of nanoparticle combinations on bacterial cells
title_full_unstemmed A comparison of methods to assess the antimicrobial activity of nanoparticle combinations on bacterial cells
title_short A comparison of methods to assess the antimicrobial activity of nanoparticle combinations on bacterial cells
title_sort comparison of methods to assess the antimicrobial activity of nanoparticle combinations on bacterial cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794139/
https://www.ncbi.nlm.nih.gov/pubmed/29390022
http://dx.doi.org/10.1371/journal.pone.0192093
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