Evidence map›Paper›PMID 36224267›Full record

ArticleScientific reports2022

Nonlinear dielectric spectroscopy biosensor for SARS-CoV-2 detection.

Ali Talebipour, Amir Hosein Ghannad, Elham Sharifi, Morteza Pirzadeh, Hamed Hasanzadeh Moghadam, Mehrdad Saviz, Majid Badieirostami, Parham Karimi Reikandeh, Hamid Mobasheri, Reza Faraji-Dana

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In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Ali TalebipourDepartment of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
Amir Hosein GhannadDepartment of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
Elham SharifiDepartment of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
Morteza PirzadehDepartment of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
Hamed Hasanzadeh MoghadamSchool of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Mehrdad SavizDepartment of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. msaviz@aut.ac.ir.
Majid BadieirostamiSchool of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Parham Karimi ReikandehDepartment of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
Hamid MobasheriBiophysics Workgroup, University Consortium of Covid-19, Tehran, Iran. h.mobasheri@ut.ac.ir.
Reza Faraji-DanaSchool of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Amirkabir University of Technology · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biosensing TechniquesCOVID-19Dielectric SpectroscopyHumansSARS-CoV-2Specimen Handling

Identifiers

PMID36224267
PMCPMC9554844
OpenAlexW4304690529

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.