tetano
Editor, Senior Moderator
Sci Rep
. 2022 Oct 12;12(1):17080.
doi: 10.1038/s41598-022-20961-7.
Nonlinear dielectric spectroscopy biosensor for SARS-CoV-2 detection
Ali Talebipour[SUP] 1 [/SUP], Amir Hosein Ghannad[SUP] 1 [/SUP], Elham Sharifi[SUP] 1 [/SUP], Morteza Pirzadeh[SUP] 1 [/SUP], Hamed Hasanzadeh Moghadam[SUP] 2 [/SUP], Mehrdad Saviz[SUP] 3 4 [/SUP], Majid Badieirostami[SUP] 2 5 [/SUP], Parham Karimi Reikandeh[SUP] 6 [/SUP], Hamid Mobasheri[SUP] 7 8 [/SUP], Reza Faraji-Dana[SUP] 2 5 9 [/SUP]
Affiliations
Abstract
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.
. 2022 Oct 12;12(1):17080.
doi: 10.1038/s41598-022-20961-7.
Nonlinear dielectric spectroscopy biosensor for SARS-CoV-2 detection
Ali Talebipour[SUP] 1 [/SUP], Amir Hosein Ghannad[SUP] 1 [/SUP], Elham Sharifi[SUP] 1 [/SUP], Morteza Pirzadeh[SUP] 1 [/SUP], Hamed Hasanzadeh Moghadam[SUP] 2 [/SUP], Mehrdad Saviz[SUP] 3 4 [/SUP], Majid Badieirostami[SUP] 2 5 [/SUP], Parham Karimi Reikandeh[SUP] 6 [/SUP], Hamid Mobasheri[SUP] 7 8 [/SUP], Reza Faraji-Dana[SUP] 2 5 9 [/SUP]
Affiliations
- PMID: 36224267
- DOI: 10.1038/s41598-022-20961-7
Abstract
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.