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Initial performance evaluation of a spotted array Mobile Analysis Platform (MAP) for the detection of influenza A/B, RSV, and MERS coronavirus()()
Clinical samples were evaluated with the Mobile Analysis Platform (MAP) to determine platform performance for detecting respiratory viruses in samples previously characterized using clinical reverse transcriptase polymerase chain reaction assays. The percent agreement between MAP and clinical result...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013072/ https://www.ncbi.nlm.nih.gov/pubmed/29550057 http://dx.doi.org/10.1016/j.diagmicrobio.2018.02.011 |
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author | Hardick, Justin Metzgar, David Risen, Lisa Myers, Christopher Balansay, Melinda Malcom, Trent Rothman, Richard Gaydos, Charlotte |
author_facet | Hardick, Justin Metzgar, David Risen, Lisa Myers, Christopher Balansay, Melinda Malcom, Trent Rothman, Richard Gaydos, Charlotte |
author_sort | Hardick, Justin |
collection | PubMed |
description | Clinical samples were evaluated with the Mobile Analysis Platform (MAP) to determine platform performance for detecting respiratory viruses in samples previously characterized using clinical reverse transcriptase polymerase chain reaction assays. The percent agreement between MAP and clinical results was 97% for influenza A (73/75), 100% (21/21) for influenza B, 100% (6/6) for respiratory syncytial virus (RSV), and 80% (4/5) for negative specimens. The approximate limit of detection of the MAP was 30 copies/assay for RSV and 1500 copies/assay for Middle East respiratory syndrome coronavirus. |
format | Online Article Text |
id | pubmed-6013072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60130722018-07-01 Initial performance evaluation of a spotted array Mobile Analysis Platform (MAP) for the detection of influenza A/B, RSV, and MERS coronavirus()() Hardick, Justin Metzgar, David Risen, Lisa Myers, Christopher Balansay, Melinda Malcom, Trent Rothman, Richard Gaydos, Charlotte Diagn Microbiol Infect Dis Article Clinical samples were evaluated with the Mobile Analysis Platform (MAP) to determine platform performance for detecting respiratory viruses in samples previously characterized using clinical reverse transcriptase polymerase chain reaction assays. The percent agreement between MAP and clinical results was 97% for influenza A (73/75), 100% (21/21) for influenza B, 100% (6/6) for respiratory syncytial virus (RSV), and 80% (4/5) for negative specimens. The approximate limit of detection of the MAP was 30 copies/assay for RSV and 1500 copies/assay for Middle East respiratory syndrome coronavirus. Elsevier Inc. 2018-07 2018-02-17 /pmc/articles/PMC6013072/ /pubmed/29550057 http://dx.doi.org/10.1016/j.diagmicrobio.2018.02.011 Text en © 2018 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Hardick, Justin Metzgar, David Risen, Lisa Myers, Christopher Balansay, Melinda Malcom, Trent Rothman, Richard Gaydos, Charlotte Initial performance evaluation of a spotted array Mobile Analysis Platform (MAP) for the detection of influenza A/B, RSV, and MERS coronavirus()() |
title | Initial performance evaluation of a spotted array Mobile Analysis Platform (MAP) for the detection of influenza A/B, RSV, and MERS coronavirus()() |
title_full | Initial performance evaluation of a spotted array Mobile Analysis Platform (MAP) for the detection of influenza A/B, RSV, and MERS coronavirus()() |
title_fullStr | Initial performance evaluation of a spotted array Mobile Analysis Platform (MAP) for the detection of influenza A/B, RSV, and MERS coronavirus()() |
title_full_unstemmed | Initial performance evaluation of a spotted array Mobile Analysis Platform (MAP) for the detection of influenza A/B, RSV, and MERS coronavirus()() |
title_short | Initial performance evaluation of a spotted array Mobile Analysis Platform (MAP) for the detection of influenza A/B, RSV, and MERS coronavirus()() |
title_sort | initial performance evaluation of a spotted array mobile analysis platform (map) for the detection of influenza a/b, rsv, and mers coronavirus()() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013072/ https://www.ncbi.nlm.nih.gov/pubmed/29550057 http://dx.doi.org/10.1016/j.diagmicrobio.2018.02.011 |
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