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Nonlinear dielectric spectroscopy biosensor for SARS-CoV-2 detection

The coronavirus disease caused by the SARS-CoV-2 virus has affected people worldwide for more than two years. Here we present a new diagnostic method based on nonlinear dielectric spectroscopy to detect the presence of the SARS-CoV-2 virus in swab samples. A known current is injected into the virus...

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Autores principales: Talebipour, Ali, Ghannad, Amir Hosein, Sharifi, Elham, Pirzadeh, Morteza, Hasanzadeh Moghadam, Hamed, Saviz, Mehrdad, Badieirostami, Majid, Karimi Reikandeh, Parham, Mobasheri, Hamid, Faraji-Dana, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554844/
https://www.ncbi.nlm.nih.gov/pubmed/36224267
http://dx.doi.org/10.1038/s41598-022-20961-7
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author Talebipour, Ali
Ghannad, Amir Hosein
Sharifi, Elham
Pirzadeh, Morteza
Hasanzadeh Moghadam, Hamed
Saviz, Mehrdad
Badieirostami, Majid
Karimi Reikandeh, Parham
Mobasheri, Hamid
Faraji-Dana, Reza
author_facet Talebipour, Ali
Ghannad, Amir Hosein
Sharifi, Elham
Pirzadeh, Morteza
Hasanzadeh Moghadam, Hamed
Saviz, Mehrdad
Badieirostami, Majid
Karimi Reikandeh, Parham
Mobasheri, Hamid
Faraji-Dana, Reza
author_sort Talebipour, Ali
collection PubMed
description The coronavirus disease caused by the SARS-CoV-2 virus has affected people worldwide for more than two years. Here we present a new diagnostic method based on nonlinear dielectric spectroscopy to detect the presence of the SARS-CoV-2 virus in swab samples. A known current is injected into the virus sample suspension, and the biomarker is the third harmonic detected in the power spectrum of the recorded signal. Computational modeling of harmonic production supports the hypothesis of ion channels (the E-protein) with nonlinear current–voltage characteristics being present on the virus envelope as a possible origin of harmonics. The developed system is able to distinguish between positive and negative samples with 5–10 dBc (decibels relative to the carrier) higher third harmonic ratios in positive samples, in agreement with the computational estimation. Our early results demonstrate that this method can detect the virus in solution. This is the first time harmonic signatures are used to detect SARS-CoV-2 in swab samples.
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spelling pubmed-95548442022-10-12 Nonlinear dielectric spectroscopy biosensor for SARS-CoV-2 detection Talebipour, Ali Ghannad, Amir Hosein Sharifi, Elham Pirzadeh, Morteza Hasanzadeh Moghadam, Hamed Saviz, Mehrdad Badieirostami, Majid Karimi Reikandeh, Parham Mobasheri, Hamid Faraji-Dana, Reza Sci Rep Article The coronavirus disease caused by the SARS-CoV-2 virus has affected people worldwide for more than two years. Here we present a new diagnostic method based on nonlinear dielectric spectroscopy to detect the presence of the SARS-CoV-2 virus in swab samples. A known current is injected into the virus sample suspension, and the biomarker is the third harmonic detected in the power spectrum of the recorded signal. Computational modeling of harmonic production supports the hypothesis of ion channels (the E-protein) with nonlinear current–voltage characteristics being present on the virus envelope as a possible origin of harmonics. The developed system is able to distinguish between positive and negative samples with 5–10 dBc (decibels relative to the carrier) higher third harmonic ratios in positive samples, in agreement with the computational estimation. Our early results demonstrate that this method can detect the virus in solution. This is the first time harmonic signatures are used to detect SARS-CoV-2 in swab samples. Nature Publishing Group UK 2022-10-12 /pmc/articles/PMC9554844/ /pubmed/36224267 http://dx.doi.org/10.1038/s41598-022-20961-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Talebipour, Ali
Ghannad, Amir Hosein
Sharifi, Elham
Pirzadeh, Morteza
Hasanzadeh Moghadam, Hamed
Saviz, Mehrdad
Badieirostami, Majid
Karimi Reikandeh, Parham
Mobasheri, Hamid
Faraji-Dana, Reza
Nonlinear dielectric spectroscopy biosensor for SARS-CoV-2 detection
title Nonlinear dielectric spectroscopy biosensor for SARS-CoV-2 detection
title_full Nonlinear dielectric spectroscopy biosensor for SARS-CoV-2 detection
title_fullStr Nonlinear dielectric spectroscopy biosensor for SARS-CoV-2 detection
title_full_unstemmed Nonlinear dielectric spectroscopy biosensor for SARS-CoV-2 detection
title_short Nonlinear dielectric spectroscopy biosensor for SARS-CoV-2 detection
title_sort nonlinear dielectric spectroscopy biosensor for sars-cov-2 detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554844/
https://www.ncbi.nlm.nih.gov/pubmed/36224267
http://dx.doi.org/10.1038/s41598-022-20961-7
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