Evidence map›Paper›PMID 32750677›Full record

ReviewBiosensors & bioelectronics2020

Human virus detection with graphene-based materials.

Eleni Vermisoglou, David Panáček, Kolleboyina Jayaramulu, Martin Pykal, Ivo Frébort, Milan Kolář, Marián Hajdúch, Radek Zbořil, Michal Otyepka

Open access · greenAbstract readReview
In one paragraph

Review in Biosensors & bioelectronics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 pooled it
11.5field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 2 syntheses or guidelines pooled it, 187 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Development of MoSLife (Basel, Switzerland) · 2026
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  11. Two-Dimensional (2D) materials in the detection of SARS-CoV-2.Microchemical journal : devoted to the application of microtechniques in all branches of science · 2023
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3 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 2 countries.

Eleni VermisoglouRegional Centre of Advanced Technologies and Materials (RCPTM), Faculty of Science, Palacký University Olomouc, Czech Republic.
David PanáčekRegional Centre of Advanced Technologies and Materials (RCPTM), Faculty of Science, Palacký University Olomouc, Czech Republic; Department of Physical Chemistry, Faculty of Science, Palacký University Olomouc, Czech Republic.
Kolleboyina JayaramuluRegional Centre of Advanced Technologies and Materials (RCPTM), Faculty of Science, Palacký University Olomouc, Czech Republic; Department of Chemistry, Indian Institute of Technology Jammu, Jammu & Kashmir, 181221, India.
Martin PykalRegional Centre of Advanced Technologies and Materials (RCPTM), Faculty of Science, Palacký University Olomouc, Czech Republic.
Ivo FrébortCentre of the Region Haná (CRH), Faculty of Science, Palacký University Olomouc, Czech Republic.
Milan KolářDepartment of Microbiology, Faculty of Medicine and Dentistry, Palacký University Olomouc, Czech Republic.
Marián HajdúchInstitute of Molecular and Translational Medicine (UMTM), Faculty of Medicine and Dentistry, Palacký University Olomouc, Czech Republic.
Radek ZbořilRegional Centre of Advanced Technologies and Materials (RCPTM), Faculty of Science, Palacký University Olomouc, Czech Republic.
Michal OtyepkaRegional Centre of Advanced Technologies and Materials (RCPTM), Faculty of Science, Palacký University Olomouc, Czech Republic. Electronic address: Michal.Otyepka@upol.cz.
Palacký University Olomouc · CZRegional Centre of Advanced Technologies and Materials · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our recent experience of the COVID-19 pandemic has highlighted the importance of easy-to-use, quick, cheap, sensitive and selective detection of virus pathogens for the efficient monitoring and treatment of virus diseases. Early detection of viruses provides essential information about possible efficient and targeted treatments, prolongs the therapeutic window and hence reduces morbidity. Graphene is a lightweight, chemically stable and conductive material that can be successfully utilized for the detection of various virus strains. The sensitivity and selectivity of graphene can be enhanced by its functionalization or combination with other materials. Introducing suitable functional groups and/or counterparts in the hybrid structure enables tuning of the optical and electrical properties, which is particularly attractive for rapid and easy-to-use virus detection. In this review, we cover all the different types of graphene-based sensors available for virus detection, including, e.g., photoluminescence and colorimetric sensors, and surface plasmon resonance biosensors. Various strategies of electrochemical detection of viruses based on, e.g., DNA hybridization or antigen-antibody interactions, are also discussed. We summarize the current state-of-the-art applications of graphene-based systems for sensing a variety of viruses, e.g., SARS-CoV-2, influenza, dengue fever, hepatitis C virus, HIV, rotavirus and Zika virus. General principles, mechanisms of action, advantages and drawbacks are presented to provide useful information for the further development and construction of advanced virus biosensors. We highlight that the unique and tunable physicochemical properties of graphene-based nanomaterials make them ideal candidates for engineering and miniaturization of biosensors.

Indexed as

Biosensing TechniquesClinical Laboratory TechniquesGraphiteAntigen-Antibody ReactionsBetacoronavirusColorimetryCoronavirus InfectionsCOVID-19COVID-19 TestingDNA, ViralElectrochemical TechniquesEquipment DesignHumansLuminescenceNanostructuresNucleic Acid HybridizationDNA, ViralGraphiteBiosensorGrapheneNanocompositeSARS-CoV-2Virus

Identifiers

PMID32750677
PMCPMC7375321
OpenAlexW3045272156

What OpenQuestion holds

Textmetadata
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.