Unknown

Dataset Information

0

Fast detection of SARS-CoV-2 RNA via the integration of plasmonic thermocycling and fluorescence detection in a portable device.


ABSTRACT: The diagnosis of severe acute respiratory syndrome 2 (SARS-CoV-2) infection by quantitative PCR with reverse transcription (RT-qPCR) typically involves bulky instrumentation in centralized laboratories and an assay time of 1-2 h. Here, we show that SARS-CoV-2 RNA can be detected in 17 min via a portable device integrating reverse transcription, fast thermocycling (via plasmonic heating through magneto-plasmonic nanoparticles) and in situ fluorescence detection following magnetic clearance of the nanoparticles. The device correctly classified all nasopharyngeal, oropharyngeal and sputum samples from 75 patients with COVID-19 and 75 healthy controls, with good concordance in fluorescence intensity with standard RT-qPCR (Pearson coefficients > 0.7 for the N1, N2 and RPP30 genes). Fast, portable and automated nucleic acid detection should facilitate testing at the point of care.

SUBMITTER: Cheong J 

PROVIDER: S-EPMC8202505 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Fast detection of SARS-CoV-2 RNA via the integration of plasmonic thermocycling and fluorescence detection in a portable device.

Cheong Jiyong J   Yu Hojeong H   Lee Chang Yeol CY   Lee Jung-Uk JU   Choi Hyun-Jung HJ   Lee Jae-Hyun JH   Lee Hakho H   Cheon Jinwoo J  

Nature biomedical engineering 20201203 12


The diagnosis of severe acute respiratory syndrome 2 (SARS-CoV-2) infection by quantitative PCR with reverse transcription (RT-qPCR) typically involves bulky instrumentation in centralized laboratories and an assay time of 1-2 h. Here, we show that SARS-CoV-2 RNA can be detected in 17 min via a portable device integrating reverse transcription, fast thermocycling (via plasmonic heating through magneto-plasmonic nanoparticles) and in situ fluorescence detection following magnetic clearance of the  ...[more]

Similar Datasets

| S-EPMC9733968 | biostudies-literature
| S-EPMC8538454 | biostudies-literature
| S-EPMC8701218 | biostudies-literature
| S-EPMC8146445 | biostudies-literature
| S-EPMC7249063 | biostudies-literature
| S-EPMC6957652 | biostudies-literature
| S-EPMC10377351 | biostudies-literature
| S-EPMC8963973 | biostudies-literature
| S-EPMC8170879 | biostudies-literature
| S-EPMC10170873 | biostudies-literature