Specific and sensitive detection of Influenza A virus using a biotin-coated nanoparticle enhanced immunomagnetic assay.


Journal

Analytical and bioanalytical chemistry
ISSN: 1618-2650
Titre abrégé: Anal Bioanal Chem
Pays: Germany
ID NLM: 101134327

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 01 10 2020
accepted: 17 11 2020
revised: 04 11 2020
pubmed: 25 11 2020
medline: 18 3 2022
entrez: 24 11 2020
Statut: ppublish

Résumé

This study reports the development of a sensitive magnetic bead-based enzyme-linked immunoassay (MELISA) for the pan-reactive detection of the Influenza A virus. The assay combines immunomagnetic beads and biotin-nanoparticle-based detection to quantify a highly conserved viral nucleoprotein in virus lysates. At the capture step, monoclonal antibody-coated magnetic microbeads were used to bind and concentrate the nucleoprotein in samples. The colorimetric detection signal was amplified using biotinylated silica nanoparticles (NP). These nanoparticles were functionalized on the surface with short DNA spacers bearing biotin groups by an automated supported synthesis method performed on nano-on-micro assemblies with a DNA/RNA synthesizer. A biotin-nanoparticle and immunomagnetic bead-based assay was developed. We succeeded in detecting Influenza A viruses directly in the lysis buffer supplemented with 10% saliva to simulate the clinical context. The biotin-nanoparticle amplification step enabled detection limits as low as 3 × 10

Identifiants

pubmed: 33230699
doi: 10.1007/s00216-020-03081-x
pii: 10.1007/s00216-020-03081-x
pmc: PMC7682758
doi:

Substances chimiques

Antibodies, Monoclonal 0
Biotin 6SO6U10H04

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

265-276

Informations de copyright

© 2020. Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Carole Farre (C)

Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, 69100, Villeurbanne, France.

Sara Viezzi (S)

Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, 69100, Villeurbanne, France.
Dipartimento di Scienze Agro-Alimentari, Ambientali e Animali, Università degli Studi di Udine, via Sondrio 2/A, 33100, Udine, Italy.

Alice Wright (A)

Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, 69100, Villeurbanne, France.

Perrine Robin (P)

Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, 69100, Villeurbanne, France.

Nathalie Lejal (N)

Université Paris-Saclay, UR892, INRAE, 78350, Jouy-en-Josas, France.

Marisa Manzano (M)

Dipartimento di Scienze Agro-Alimentari, Ambientali e Animali, Università degli Studi di Udine, via Sondrio 2/A, 33100, Udine, Italy.

Jasmina Vidic (J)

Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350, Jouy-en-Josas, France.

Carole Chaix (C)

Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, 69100, Villeurbanne, France. carole.chaix-bauvais@univ-lyon1.fr.

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Classifications MeSH