BibTex format
@article{Rodriguez-Manzano:2021:10.1021/acscentsci.0c01288,
author = {Rodriguez-Manzano, J and Malpartida-Cardenas, K and Moser, N and Pennisi, I and Cavuto, M and Miglietta, L and Moniri, A and Penn, R and Satta, G and Randell, P and Davies, F and Bolt, F and Barclay, W and Holmes, A and Georgiou, P},
doi = {10.1021/acscentsci.0c01288},
journal = {ACS Central Science},
pages = {307--317},
title = {Handheld point-of-care system for rapid detection of SARS-CoV-2 extracted RNA in under 20 min},
url = {http://dx.doi.org/10.1021/acscentsci.0c01288},
volume = {7},
year = {2021}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - 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.
AU - Rodriguez-Manzano,J
AU - Malpartida-Cardenas,K
AU - Moser,N
AU - Pennisi,I
AU - Cavuto,M
AU - Miglietta,L
AU - Moniri,A
AU - Penn,R
AU - Satta,G
AU - Randell,P
AU - Davies,F
AU - Bolt,F
AU - Barclay,W
AU - Holmes,A
AU - Georgiou,P
DO - 10.1021/acscentsci.0c01288
EP - 317
PY - 2021///
SN - 2374-7943
SP - 307
TI - Handheld point-of-care system for rapid detection of SARS-CoV-2 extracted RNA in under 20 min
T2 - ACS Central Science
UR - http://dx.doi.org/10.1021/acscentsci.0c01288
UR - http://hdl.handle.net/10044/1/85853
VL - 7
ER -
