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Sampling and detection of airborne influenza virus towards point-of-care applications

Airborne transmission of the influenza virus contributes significantly to the spread of this infectious pathogen, particularly over large distances when carried by aerosol droplets with long survival times. Efficient sampling of virus-loaded aerosol in combination with a low limit of detection of th...

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Autores principales: Ladhani, Laila, Pardon, Gaspard, Meeuws, Hanne, van Wesenbeeck, Liesbeth, Schmidt, Kristiane, Stuyver, Lieven, van der Wijngaart, Wouter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5369763/
https://www.ncbi.nlm.nih.gov/pubmed/28350811
http://dx.doi.org/10.1371/journal.pone.0174314
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author Ladhani, Laila
Pardon, Gaspard
Meeuws, Hanne
van Wesenbeeck, Liesbeth
Schmidt, Kristiane
Stuyver, Lieven
van der Wijngaart, Wouter
author_facet Ladhani, Laila
Pardon, Gaspard
Meeuws, Hanne
van Wesenbeeck, Liesbeth
Schmidt, Kristiane
Stuyver, Lieven
van der Wijngaart, Wouter
author_sort Ladhani, Laila
collection PubMed
description Airborne transmission of the influenza virus contributes significantly to the spread of this infectious pathogen, particularly over large distances when carried by aerosol droplets with long survival times. Efficient sampling of virus-loaded aerosol in combination with a low limit of detection of the collected virus could enable rapid and early detection of airborne influenza virus at the point-of-care setting. Here, we demonstrate a successful sampling and detection of airborne influenza virus using a system specifically developed for such applications. Our system consists of a custom-made electrostatic precipitation (ESP)-based bioaerosol sampler that is coupled with downstream quantitative polymerase chain reaction (qPCR) analysis. Aerosolized viruses are sampled directly into a miniaturized collector with liquid volume of 150 μL, which constitutes a simple and direct interface with subsequent biological assays. This approach reduces sample dilution by at least one order of magnitude when compared to other liquid-based aerosol bio-samplers. Performance of our ESP-based sampler was evaluated using influenza virus-loaded sub-micron aerosols generated from both cultured and clinical samples. Despite the miniaturized collection volume, we demonstrate a collection efficiency of at least 10% and sensitive detection of a minimum of 3721 RNA copies. Furthermore, we show that an improved extraction protocol can allow viral recovery of down to 303 RNA copies and a maximum sampler collection efficiency of 47%. A device with such a performance would reduce sampling times dramatically, from a few hours with current sampling methods down to a couple of minutes with our ESP-based bioaerosol sampler.
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spelling pubmed-53697632017-04-06 Sampling and detection of airborne influenza virus towards point-of-care applications Ladhani, Laila Pardon, Gaspard Meeuws, Hanne van Wesenbeeck, Liesbeth Schmidt, Kristiane Stuyver, Lieven van der Wijngaart, Wouter PLoS One Research Article Airborne transmission of the influenza virus contributes significantly to the spread of this infectious pathogen, particularly over large distances when carried by aerosol droplets with long survival times. Efficient sampling of virus-loaded aerosol in combination with a low limit of detection of the collected virus could enable rapid and early detection of airborne influenza virus at the point-of-care setting. Here, we demonstrate a successful sampling and detection of airborne influenza virus using a system specifically developed for such applications. Our system consists of a custom-made electrostatic precipitation (ESP)-based bioaerosol sampler that is coupled with downstream quantitative polymerase chain reaction (qPCR) analysis. Aerosolized viruses are sampled directly into a miniaturized collector with liquid volume of 150 μL, which constitutes a simple and direct interface with subsequent biological assays. This approach reduces sample dilution by at least one order of magnitude when compared to other liquid-based aerosol bio-samplers. Performance of our ESP-based sampler was evaluated using influenza virus-loaded sub-micron aerosols generated from both cultured and clinical samples. Despite the miniaturized collection volume, we demonstrate a collection efficiency of at least 10% and sensitive detection of a minimum of 3721 RNA copies. Furthermore, we show that an improved extraction protocol can allow viral recovery of down to 303 RNA copies and a maximum sampler collection efficiency of 47%. A device with such a performance would reduce sampling times dramatically, from a few hours with current sampling methods down to a couple of minutes with our ESP-based bioaerosol sampler. Public Library of Science 2017-03-28 /pmc/articles/PMC5369763/ /pubmed/28350811 http://dx.doi.org/10.1371/journal.pone.0174314 Text en © 2017 Ladhani 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
Ladhani, Laila
Pardon, Gaspard
Meeuws, Hanne
van Wesenbeeck, Liesbeth
Schmidt, Kristiane
Stuyver, Lieven
van der Wijngaart, Wouter
Sampling and detection of airborne influenza virus towards point-of-care applications
title Sampling and detection of airborne influenza virus towards point-of-care applications
title_full Sampling and detection of airborne influenza virus towards point-of-care applications
title_fullStr Sampling and detection of airborne influenza virus towards point-of-care applications
title_full_unstemmed Sampling and detection of airborne influenza virus towards point-of-care applications
title_short Sampling and detection of airborne influenza virus towards point-of-care applications
title_sort sampling and detection of airborne influenza virus towards point-of-care applications
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5369763/
https://www.ncbi.nlm.nih.gov/pubmed/28350811
http://dx.doi.org/10.1371/journal.pone.0174314
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