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Diagn Microbiol Infect Dis. 2018 Feb 17. pii: S0732-8893(18)30070-1. doi: 10.1016/j.diagmicrobio.2018.02.011. [Epub ahead of print]
Initial performance evaluation of a spotted array Mobile Analysis Platform (MAP) for the detection of influenza A/B, RSV, and MERS coronavirus.
Hardick J1, Metzgar D2, Risen L2, Myers C3, Balansay M3, Malcom T4, Rothman R4, Gaydos C5.
Author information
Abstract
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.
KEYWORDS:
MERS; Point-of-care diagnostics; Respiratory viruses
PMID: 29550057 DOI: 10.1016/j.diagmicrobio.2018.02.011
Initial performance evaluation of a spotted array Mobile Analysis Platform (MAP) for the detection of influenza A/B, RSV, and MERS coronavirus.
Hardick J1, Metzgar D2, Risen L2, Myers C3, Balansay M3, Malcom T4, Rothman R4, Gaydos C5.
Author information
Abstract
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.
KEYWORDS:
MERS; Point-of-care diagnostics; Respiratory viruses
PMID: 29550057 DOI: 10.1016/j.diagmicrobio.2018.02.011