Evidence map›Paper›PMID 35884290›Full record

ArticleBiosensors2022

A Biosensor Platform for Point-of-Care SARS-CoV-2 Screening.

Antonios Georgas, Konstantinos Agiannis, Vasiliki Papakosta, Panagiotis Priftis, Spyridon Angelopoulos, Angelo Ferraro, Evangelos Hristoforou

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 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 33% 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.

  1. Article
  2. Article
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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

7 authors at 1 institution in 1 country.

Antonios GeorgasSchool of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece.ORCID 0000-0002-9094-8422
Konstantinos AgiannisSchool of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece.
Vasiliki PapakostaSchool of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece.
Panagiotis PriftisSchool of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece.
Spyridon AngelopoulosSchool of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece.ORCID 0000-0003-2533-435X
Angelo FerraroSchool of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece.ORCID 0000-0002-2044-7569
Evangelos HristoforouSchool of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece.ORCID 0000-0003-1895-6417
National Technical University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic remains a constant threat to human health, the economy, and social relations. Scientists around the world are constantly looking for new technological tools to deal with the pandemic. Such tools are the rapid virus detection tests, which are constantly evolving and optimizing. This paper presents a biosensor platform for the rapid detection of spike protein both in laboratory conditions and in swab samples from hospitalized patients. It is a continuation and improvement of our previous work and consists of a microcontroller-based readout circuit, which measures the capacitance change generated in an interdigitated electrode transducer by the presence either of sole spike protein or the presence of SARS-CoV-2 particles in swab samples. The circuit efficiency is calibrated by its correlation with the capacitance measurement of an LCR (inductance (L), capacitance (C), and resistance (R)) meter. The test result is made available in less than 2 min through the microcontroller's LCD (liquid-crystal display) screen, whereas at the same time, the collected data are sent wirelessly to a mobile application interface. The novelty of this research lies in the potential it offers for continuous and effective screening of SARS-CoV-2 patients, which is facilitated and enhanced, providing big data statistics of COVID-19 in terms of space and time. This device can be used by individuals for SARS-CoV-2 testing at home, by health professionals for patient monitoring, and by public health agencies for monitoring the spatio-temporal spread of the virus.

Indexed as

Biosensing TechniquesCOVID-19COVID-19 TestingHumansPandemicsPoint-of-Care SystemsSARS-CoV-2Spike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2interdigitated electrodesinternet of thingsportablereadoutSARS-CoV-2screeningsmartphonevirus monitoring

Identifiers

PMID35884290
PMCPMC9312522
OpenAlexW4283795984

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.