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Multiplex Quantitative Polymerase Chain Reaction Diagnostic Test for SARS-CoV-2 and Influenza A/B Viruses

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Multiplex Biomarker Techniques

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2511))

Abstract

COVID-19 disease caused by the novel SARS-CoV-2 virus represents a new challenge for healthcare systems. The molecular confirmation of infection is crucial to guide public health decision-making. This task could be made more difficult during the next influenza season. Thus, a rapid and user-friendly diagnostic test to discriminate SARS-CoV-2 from influenza viruses is urgently needed. Here, we present a multiplex quantitative polymerase chain reaction (qPCR) assay capable of distinguishing SARS-CoV-2 from influenza A and B cases. This assay benefits from the use of an inhibitor tolerant PCR mix which obviates the need for the rate-limiting extraction step, allowing for a more rapid and accurate analysis.

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Conflict of Interest Statement

SFH is an employee of Meridian Bioscience.

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Authors and Affiliations

  1. Meridian Bioscience, Unit 16, The Edge Business Centre, London, UK

    Steve F. C. Hawkins

  2. Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil

    Paul C. Guest

Authors
  1. Steve F. C. Hawkins
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  2. Paul C. Guest
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Corresponding author

Correspondence to Steve F. C. Hawkins .

Editor information

Editors and Affiliations

  1. Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, University of Campinas, Campinas, Sao Paulo, Brazil

    Paul C. Guest

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© 2022 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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Hawkins, S.F.C., Guest, P.C. (2022). Multiplex Quantitative Polymerase Chain Reaction Diagnostic Test for SARS-CoV-2 and Influenza A/B Viruses. In: Guest, P.C. (eds) Multiplex Biomarker Techniques. Methods in Molecular Biology, vol 2511. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2395-4_4

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  • DOI: https://doi.org/10.1007/978-1-0716-2395-4_4

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2394-7

  • Online ISBN: 978-1-0716-2395-4

  • eBook Packages: Springer Protocols

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