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Automated sample-to-answer centrifugal microfluidic system for rapid molecular diagnostics of SARS-CoV-2.
Malic, Lidija; Brassard, Daniel; Da Fonte, Dillon; Nassif, Christina; Mounier, Maxence; Ponton, André; Geissler, Matthias; Shiu, Matthew; Morton, Keith J; Veres, Teodor.
  • Malic L; Life Sciences Division, National Research Council of Canada, 75 de Mortagne Boulevard, Boucherville, QC, J4B 6Y4, Canada. lidija.malic@cnrc-nrc.gc.ca.
  • Brassard D; Life Sciences Division, National Research Council of Canada, 75 de Mortagne Boulevard, Boucherville, QC, J4B 6Y4, Canada. lidija.malic@cnrc-nrc.gc.ca.
  • Da Fonte D; Life Sciences Division, National Research Council of Canada, 75 de Mortagne Boulevard, Boucherville, QC, J4B 6Y4, Canada. lidija.malic@cnrc-nrc.gc.ca.
  • Nassif C; Life Sciences Division, National Research Council of Canada, 75 de Mortagne Boulevard, Boucherville, QC, J4B 6Y4, Canada. lidija.malic@cnrc-nrc.gc.ca.
  • Mounier M; Life Sciences Division, National Research Council of Canada, 75 de Mortagne Boulevard, Boucherville, QC, J4B 6Y4, Canada. lidija.malic@cnrc-nrc.gc.ca.
  • Ponton A; Life Sciences Division, National Research Council of Canada, 75 de Mortagne Boulevard, Boucherville, QC, J4B 6Y4, Canada. lidija.malic@cnrc-nrc.gc.ca.
  • Geissler M; Life Sciences Division, National Research Council of Canada, 75 de Mortagne Boulevard, Boucherville, QC, J4B 6Y4, Canada. lidija.malic@cnrc-nrc.gc.ca.
  • Shiu M; Life Sciences Division, National Research Council of Canada, 75 de Mortagne Boulevard, Boucherville, QC, J4B 6Y4, Canada. lidija.malic@cnrc-nrc.gc.ca.
  • Morton KJ; Life Sciences Division, National Research Council of Canada, 75 de Mortagne Boulevard, Boucherville, QC, J4B 6Y4, Canada. lidija.malic@cnrc-nrc.gc.ca.
  • Veres T; Life Sciences Division, National Research Council of Canada, 75 de Mortagne Boulevard, Boucherville, QC, J4B 6Y4, Canada. lidija.malic@cnrc-nrc.gc.ca.
Lab Chip ; 22(17): 3157-3171, 2022 08 23.
Article in English | MEDLINE | ID: covidwho-1878559
ABSTRACT
Testing for SARS-CoV-2 is one of the most important assets in COVID-19 management and mitigation. At the onset of the pandemic, SARS-CoV-2 testing was uniquely performed in central laboratories using RT-qPCR. RT-qPCR relies on trained personnel operating complex instrumentation, while time-to-result can be lengthy (e.g., 24 to 72 h). Now, two years into the pandemic, with the surge in cases driven by the highly transmissible Omicron variant, COVID-19 testing capabilities have been stretched to their limit worldwide. Rapid antigen tests are playing an increasingly important role in quelling outbreaks by expanding testing capacity outside the realm of clinical laboratories. These tests can be deployed in settings where repeat and rapid testing is essential, but they often come at the expense of limited accuracy and sensitivity. Reverse transcription loop-mediated isothermal amplification (RT-LAMP) provides a number of advantages to SARS-CoV-2 testing in standard laboratories and at the point-of-need. In contrast to RT-qPCR, RT-LAMP is performed at a constant temperature, which circumvents the need for thermal cycling and translates into a shorter analysis time (e.g., <1 h). In addition, RT-LAMP is compatible with colorimetric detection, facilitating visualization and read-out. However, even with these benefits, RT-LAMP is not yet clinically deployed at its full capacity. Lack of automation and integration of sample preparation, such as RNA extraction, limits the sensitivity and specificity of the method. Furthermore, the need for cold storage of reagents complicates its use at the point of need. The developments presented in this work address these

limitations:

We describe a fully automated SARS-CoV-2 detection method using RT-LAMP, which also includes up-front lysis and extraction of viral RNA, performed on a centrifugal platform with active pneumatic pumping, a disposable, all-polymer-based microfluidic cartridge and lyophilized reagents. We demonstrate that the limit of detection of the RT-LAMP assay itself is 0.2 copies per µL using N and E genes as target sequences. When combined with integrated RNA extraction, the assay sensitivity is 0.5 copies per µL, which is highly competitive to RT-qPCR. We tested the automated assay using 12 clinical swab specimens from patients and were able to distinguish positive and negative samples for SARS-CoV-2 within 60 min, thereby obtaining 100% agreement with RT-qPCR results.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Lab Chip Journal subject: Biotechnology / Chemistry Year: 2022 Document Type: Article Affiliation country: D2lc00242f

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Lab Chip Journal subject: Biotechnology / Chemistry Year: 2022 Document Type: Article Affiliation country: D2lc00242f