CovidArray: A Microarray-Based Assay with High Sensitivity for the Detection of Sars-Cov-2 in Nasopharyngeal Swabs.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
03 Apr 2021
Historique:
received: 01 03 2021
revised: 29 03 2021
accepted: 31 03 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 4 5 2021
Statut: epublish

Résumé

A new coronavirus (SARS-CoV-2) caused the current coronavirus disease (Covid-19) epidemic. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is used as the gold standard for clinical detection of SARS-CoV-2. Under ideal conditions, RT-qPCR Covid-19 assays have analytical sensitivity and specificity greater than 95%. However, when the sample panel is enlarged including asymptomatic individuals, the sensitivity decreases and false negatives are reported. Moreover, RT-qPCR requires up to 3-6 h with most of the time involved in RNA extraction from swab samples. We introduce CovidArray, a microarray-based assay, to detect SARS-CoV-2 markers N1 and N2 in the nasopharyngeal swabs. The method is based on solid-phase hybridization of fluorescently-labeled amplicons upon RNA extraction and reverse transcription. This approach combines the physical-optical properties of the silicon substrate with the surface chemistry used to coat the substrate to obtain a diagnostic tool of great sensitivity. Furthermore, we used an innovative approach, RNAGEM, to extract and purify viral RNA in less than 15 min. We correctly assigned 12 nasopharyngeal swabs, previously analyzed by RT-qPCR. Thanks to the CovidArray sensitivity we were able to identify a false-negative sample. CovidArray is the first DNA microarray-based assay to detect viral genes in the swabs. Its high sensitivity and the innovative viral RNA extraction by RNAGEM allows the reduction of both the amount of false-negative results and the total analysis time to about 2 h.

Identifiants

pubmed: 33916661
pii: s21072490
doi: 10.3390/s21072490
pmc: PMC8038375
pii:
doi:

Substances chimiques

RNA, Viral 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Francesco Damin (F)

Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" SCITEC CNR, 20131 Milan, Italy.

Silvia Galbiati (S)

Complications of Diabetes Units, Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.

Stella Gagliardi (S)

Genomic and Post Genomic Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy.

Cristina Cereda (C)

Genomic and Post Genomic Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy.

Francesca Dragoni (F)

Genomic and Post Genomic Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy.
Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, 27100 Pavia, Italy.

Claudio Fenizia (C)

Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy.

Valeria Savasi (V)

Unit of Obstetrics and Gynecology, L. Sacco Hospital ASST Fatebenefratelli Sacco, 20157 Milan, Italy.
Department of Biomedical and Clinical Sciences, University of Milan, 20122 Milan, Italy.

Laura Sola (L)

Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" SCITEC CNR, 20131 Milan, Italy.

Marcella Chiari (M)

Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" SCITEC CNR, 20131 Milan, Italy.

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Classifications MeSH