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Handheld point-of-care system for rapid detection of SARS-CoV-2 extracted RNA in under 20 min
File | Description | Size | Format | |
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acscentsci.0c01288.pdf | Published version | 4.21 MB | Adobe PDF | View/Open |
Title: | Handheld point-of-care system for rapid detection of SARS-CoV-2 extracted RNA in under 20 min |
Authors: | Rodriguez-Manzano, J Malpartida-Cardenas, K Moser, N Pennisi, I Cavuto, M Miglietta, L Moniri, A Penn, R Satta, G Randell, P Davies, F Bolt, F Barclay, W Holmes, A Georgiou, P |
Item Type: | Journal Article |
Abstract: | The COVID-19 pandemic is a global health emergency characterized by the high rate of transmission and ongoing increase of cases globally. Rapid point-of-care (PoC) diagnostics to detect the causative virus, SARS-CoV-2, are urgently needed to identify and isolate patients, contain its spread and guide clinical management. In this work, we report the development of a rapid PoC diagnostic test (<20 min) based on reverse transcriptase loop-mediated isothermal amplification (RT-LAMP) and semiconductor technology for the detection of SARS-CoV-2 from extracted RNA samples. The developed LAMP assay was tested on a real-time benchtop instrument (RT-qLAMP) showing a lower limit of detection of 10 RNA copies per reaction. It was validated against extracted RNA from 183 clinical samples including 127 positive samples (screened by the CDC RT-qPCR assay). Results showed 91% sensitivity and 100% specificity when compared to RT-qPCR and average positive detection times of 15.45 ± 4.43 min. For validating the incorporation of the RT-LAMP assay onto our PoC platform (RT-eLAMP), a subset of samples was tested (n = 52), showing average detection times of 12.68 ± 2.56 min for positive samples (n = 34), demonstrating a comparable performance to a benchtop commercial instrument. Paired with a smartphone for results visualization and geolocalization, this portable diagnostic platform with secure cloud connectivity will enable real-time case identification and epidemiological surveillance. |
Issue Date: | 24-Feb-2021 |
Date of Acceptance: | 18-Nov-2020 |
URI: | http://hdl.handle.net/10044/1/85853 |
DOI: | 10.1021/acscentsci.0c01288 |
ISSN: | 2374-7943 |
Publisher: | American Chemical Society (ACS) |
Start Page: | 307 |
End Page: | 317 |
Journal / Book Title: | ACS Central Science |
Volume: | 7 |
Issue: | 2 |
Copyright Statement: | © 2020 The Authors. Published by American Chemical Society. This is an open access article published under an ACS AuthorChoice License, which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
Sponsor/Funder: | Imperial College COVID-19 Research Fund National Institute for Health Research National Institute for Health Research National Institute for Health Research |
Funder's Grant Number: | NF-SI-0617-10176 NIHR200646 NIHR200876 |
Keywords: | 03 Chemical Sciences |
Publication Status: | Published |
Open Access location: | https://pubs.acs.org/doi/abs/10.1021/acscentsci.0c01288 |
Article Number: | acscentsci.0c01288 |
Online Publication Date: | 2021-01-13 |
Appears in Collections: | Electrical and Electronic Engineering Department of Infectious Diseases Faculty of Medicine Imperial College London COVID-19 Faculty of Engineering |