Purely electrical SARS-CoV-2 sensing based on single-molecule counting. Issue 13 (8th March 2022)

• Record Type: Journal Article
• Authors: van Kooten, Xander F.; Rozevsky, Yana; Marom, Yulia; Ben Sadeh, Efrat; Meller, Amit
• Is Part Of: Nanoscale. Volume 14:Issue 13(2022)
• Page Start: 4977
• Page End: 4986
• Publication Date: 2022-03-08
• Subjects: Nanoscience -- Periodicals; Nanotechnology -- Periodicals; 620.505
• DOI: 10.1039/d1nr07787b
• Languages: English
• ISSNs: 2040-3364

Abstract

Abstract : Purely electrical SARS-CoV-2 quantification based on single-molecule counting in a solid-state nanopore sensor. RNA from clinical samples is converted to double-stranded DNA without amplification and analyzed using the nanopore device. Abstract : The majority of RNA based COVID-19 diagnostics employ enzymatic amplification to achieve high sensitivity, but this relies on arbitrary thresholding, which complicates the comparison of test results and may lead to false outcomes. Here we introduce solid-state nanopore sensing for label-free quantification of SARS-CoV-2 RNA in clinical nasal swab samples. This PCR-free method involves reverse transcribing a target gene on the viral RNA before enzymatically digesting all but the resulting dsDNA. Ratiometric quantification of RNA abundance is achieved by single-molecule counting and length-based nanopore identification of dsDNA from a SARS-CoV-2 gene and a human reference gene. We graded nasal swab samples from >15 subjects and find that the SARS-CoV-2 ratiometric nanopore index correlates well with the reported RT-qPCR threshold cycle for positive classified samples. Remarkably, nanopore analysis also reports quantitative positive outcomes for clinical samples classified as negative by RT-qPCR, suggesting that the method may be used to diagnose COVID-19 in samples that may evade detection. We show that the sample preparation workflow can be implemented using a compact microfluidic device with integrated thermal control for semi-automated processing of extremely small sample volumes, offering a viable route towards automated, fast and affordable RNA quantification in a small and portable device.