Sensitive electrochemical gold nanoparticle-based immunosensor for norovirus detection in food samples.


Journal

RSC advances
ISSN: 2046-2069
Titre abrégé: RSC Adv
Pays: England
ID NLM: 101581657

Informations de publication

Date de publication:
14 Feb 2024
Historique:
received: 15 12 2023
accepted: 12 02 2024
medline: 19 2 2024
pubmed: 19 2 2024
entrez: 19 2 2024
Statut: epublish

Résumé

Norovirus (NoV) infection is one of the most common non-bacterial causes of gastroenteritis among the population worldwide. From the point of view of medical diagnostics, it is important to develop a system that would sensitively and selectively detect norovirus from a patient's sample in order to control and limit its spread. In this paper, we present a stable and sensitive NoV (mouse model) detection matrix in infected food samples. The bio-platform was made of a modified gold electrode with a self-assembled l-cysteine monolayer, covered with gold nanoparticles, a linker and an antibody specific to the VP1 surface protein of the virus. Binding of the VP1 protein to the antibody caused a decrease in the current strength confirmed by electrochemical techniques - cyclic voltammetry (CV) and differential pulse voltammetry. The reduction of the current was proportional to the concentration of NoV sample. The biosensors showed high sensitivity and linearity in a range from 1 × 10

Identifiants

pubmed: 38370455
doi: 10.1039/d3ra08586d
pii: d3ra08586d
pmc: PMC10870109
doi:

Types de publication

Journal Article

Langues

eng

Pagination

6028-6040

Informations de copyright

This journal is © The Royal Society of Chemistry.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest regarding the content presented in this article.

Auteurs

Paulina Janicka (P)

Department of Pathology, University of Environmental and Life Sciences in Wrocław Norwida 31 50-375 Wrocław Poland.
Food4Future Technologies Sp. z o. o. ul. Tarasa Szewczenki 24 51-351 Wrocław Poland.

Sylwia Baluta (S)

Institute of Advanced Materials, Wrocław University of Science and Technology Wybrzeże Wyspiańskiego 27 50-370 Wrocław Poland sylwia.baluta@pwr.edu.pl.

Juliusz Winiarski (J)

Group of Surface Technology, Department of Advanced Material Technologies, Wroclaw University of Science and Technology Wybrzeże Wyspiańskiego 27 Wroclaw 50-370 Poland.

Kinga Halicka-Stępień (K)

Institute of Advanced Materials, Wrocław University of Science and Technology Wybrzeże Wyspiańskiego 27 50-370 Wrocław Poland sylwia.baluta@pwr.edu.pl.

Aleksandra Pogorzelska (A)

Department of Pathology, University of Environmental and Life Sciences in Wrocław Norwida 31 50-375 Wrocław Poland.

Joanna Cabaj (J)

Institute of Advanced Materials, Wrocław University of Science and Technology Wybrzeże Wyspiańskiego 27 50-370 Wrocław Poland sylwia.baluta@pwr.edu.pl.

Katarzyna Pala (K)

Water Science and Technology Institute- H2O SciTech ul. Tarasa Szewczenki 24 51-351 Wrocław Poland.

Barbara Bażanów (B)

Department of Pathology, University of Environmental and Life Sciences in Wrocław Norwida 31 50-375 Wrocław Poland.

Classifications MeSH