Your browser doesn't support javascript.
loading
Handheld Point-of-Care System for Rapid Detection of SARS-CoV-2 Extracted RNA in under 20 min.
Rodriguez-Manzano, Jesus; Malpartida-Cardenas, Kenny; Moser, Nicolas; Pennisi, Ivana; Cavuto, Matthew; Miglietta, Luca; Moniri, Ahmad; Penn, Rebecca; Satta, Giovanni; Randell, Paul; Davies, Frances; Bolt, Frances; Barclay, Wendy; Holmes, Alison; Georgiou, Pantelis.
Afiliação
  • Rodriguez-Manzano J; Department of Infectious Disease, Faculty of Medicine, Imperial College London, London SW7 2AZ, United Kingdom.
  • Malpartida-Cardenas K; Department of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London, London SW7 2AZ, United Kingdom.
  • Moser N; Department of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London, London SW7 2AZ, United Kingdom.
  • Pennisi I; Department of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London, London SW7 2AZ, United Kingdom.
  • Cavuto M; Department of Infectious Disease, Faculty of Medicine, Imperial College London, London SW7 2AZ, United Kingdom.
  • Miglietta L; Department of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London, London SW7 2AZ, United Kingdom.
  • Moniri A; Department of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London, London SW7 2AZ, United Kingdom.
  • Penn R; Department of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London, London SW7 2AZ, United Kingdom.
  • Satta G; Department of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London, London SW7 2AZ, United Kingdom.
  • Randell P; Department of Infectious Disease, Faculty of Medicine, Imperial College London, London SW7 2AZ, United Kingdom.
  • Davies F; Imperial College Healthcare NHS Trust, Hammersmith Hospital, London W12 0HS, United Kingdom.
  • Bolt F; Imperial College Healthcare NHS Trust, Hammersmith Hospital, London W12 0HS, United Kingdom.
  • Barclay W; Department of Infectious Disease, Faculty of Medicine, Imperial College London, London SW7 2AZ, United Kingdom.
  • Holmes A; Department of Infectious Disease, Faculty of Medicine, Imperial College London, London SW7 2AZ, United Kingdom.
  • Georgiou P; Department of Infectious Disease, Faculty of Medicine, Imperial College London, London SW7 2AZ, United Kingdom.
ACS Cent Sci ; 7(2): 307-317, 2021 Feb 24.
Article em En | MEDLINE | ID: mdl-33649735
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article