A mask-based diagnostic platform for point-of-care screening of Covid-19.

Aptamers Detection Electrochemistry Exhaled breath condensate (EBC) Real-time reverse-transcription polymerase chain reaction (RT-PCR) SARS-CoV-2

Journal

Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289

Informations de publication

Date de publication:
15 Nov 2021
Historique:
received: 20 06 2021
accepted: 02 07 2021
pubmed: 15 7 2021
medline: 22 9 2021
entrez: 14 7 2021
Statut: ppublish

Résumé

Diagnostics of SARS-CoV-2 infection using real-time reverse-transcription polymerase chain reaction (RT-PCR) on nasopharyngeal swabs is now well-established, with saliva-based testing being lately more widely implemented for being more adapted for self-testing approaches. In this study, we introduce a different concept based on exhaled breath condensate (EBC), readily collected by a mask-based sampling device, and detection with an electrochemical biosensor with a modular architecture that enables fast and specific detection and quantification of COVID-19. The face mask forms an exhaled breath vapor containment volume to hold the exhaled breath vapor in proximity to the EBC collector to enable a condensate-forming surface, cooled by a thermal mass, to coalesce the exhaled breath into a 200-500 μL fluid sample in 2 min. EBC RT-PCR for SARS-CoV-2 genes (E, ORF1ab) on samples collected from 7 SARS-CoV-2 positive and 7 SARS-CoV-2 negative patients were performed. The presence of SARS-CoV-2 could be detected in 5 out of 7 SARS-CoV-2 positive patients. Furthermore, the EBC samples were screened on an electrochemical aptamer biosensor, which detects SARS-CoV-2 viral particles down to 10 pfu mL

Identifiants

pubmed: 34260968
pii: S0956-5663(21)00523-6
doi: 10.1016/j.bios.2021.113486
pmc: PMC8264268
pii:
doi:

Substances chimiques

RNA, Viral 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113486

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

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Auteurs

John Daniels (J)

Diagmetrics Inc., 30 Renees Way Madison, Connecticut, 06443, USA.

Shekhar Wadekar (S)

Diagmetrics Inc., 30 Renees Way Madison, Connecticut, 06443, USA.

Ken DeCubellis (K)

Diagmetrics Inc., 30 Renees Way Madison, Connecticut, 06443, USA.

George W Jackson (GW)

Base Pair Biotechnologies, Inc., 8619 Broadway St., Suite 100, Pearland, TX, USA.

Alexander S Chiu (AS)

Base Pair Biotechnologies, Inc., 8619 Broadway St., Suite 100, Pearland, TX, USA.

Quentin Pagneux (Q)

Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520 - IEMN, F-59000, Lille, France.

Hiba Saada (H)

Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520 - IEMN, F-59000, Lille, France.

Ilka Engelmann (I)

Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520 - IEMN, F-59000, Lille, France.

Judith Ogiez (J)

Univ Lille, CHU Lille, Laboratoire de Virologie ULR3610, F-59000, Lille, France.

Delphine Loze-Warot (D)

CerbaHealthCare Biomedical Laboratory, CERBALLIANCE Lille, 17/24 Rue de La Digue, 59000, Lille, France.

Rabah Boukherroub (R)

Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520 - IEMN, F-59000, Lille, France.

Sabine Szunerits (S)

Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520 - IEMN, F-59000, Lille, France. Electronic address: sabine.szunerits@univ-lille.fr.

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Classifications MeSH