Evidence map›Paper›PMID 38470514›Full record

ArticleApplied microbiology and biotechnology2024

Computational aptamer design for spike glycoprotein (S) (SARS CoV-2) detection with an electrochemical aptasensor.

Alessia Cossettini, Laura Pasquardini, Antonello Romani, Aldo Feriani, Debora Pinamonti, Marisa Manzano

Open access · goldAbstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. An electrochemical aptasensor for detection ofFrontiers in bioengineering and biotechnology · 2025
    Article
  7. Article
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

6 authors at 1 institution in 1 country.

Alessia CossettiniDepartment of Agriculture, Food, Environmental and Animal Sciences, University of Udine, Via Sondrio 2/A, 33100, Udine, Italy.
Laura PasquardiniIndivenire Srl, Via Sommarive 18, 38123, Trento, Italy.
Antonello RomaniArta Peptidion srls, Via Quasimodo 11, 43126, Parma, Italy.
Aldo FerianiArta Peptidion srls, Via Quasimodo 11, 43126, Parma, Italy.
Debora PinamontiDepartment of Agriculture, Food, Environmental and Animal Sciences, University of Udine, Via Sondrio 2/A, 33100, Udine, Italy.
Marisa ManzanoDepartment of Agriculture, Food, Environmental and Animal Sciences, University of Udine, Via Sondrio 2/A, 33100, Udine, Italy. marisa.manzano@uniud.it.ORCID http://orcid.org/0000-0002-3543-6141
University of Udine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new bioinformatic platform (APTERION) was used to design in a short time and with high specificity an aptamer for the detection of the spike protein, a structural protein of SARS-CoV-2 virus, responsible for the COVID-19 pandemic. The aptamer concentration on the carbon electrode surface was optimized using static contact angle and fluorescence method, while specificity was tested using differential pulse voltammetry (DPV) associated to carbon screen-printed electrodes. The data obtained demonstrated the good features of the aptamer which could be used to create a rapid method for the detection of SARS-CoV-2 virus. In fact, it is specific for spike also when tested against bovine serum albumin and lysozyme, competitor proteins if saliva is used as sample to test for the virus presence. Spectrofluorometric characterization allowed to measure the amount of aptamer present on the carbon electrode surface, while DPV measurements proved the affinity of the aptamer towards the spike protein and gave quantitative results. The acquired data allowed to conclude that the APTERION bioinformatic platform is a good method for aptamer design for rapidity and specificity. KEY POINTS: • Spike protein detection using an electrochemical biosensor • Aptamer characterization by contact angle and fluorescent measurements on electrode surface • Computational design of specific aptamers to speed up the aptameric sequence time.

Indexed as

Aptamers, NucleotideBiosensing TechniquesCOVID-19CarbonElectrochemical TechniquesElectrodesGlycoproteinsHumansPandemicsSARS-CoV-2Spike Glycoprotein, CoronavirusAptamers, NucleotideCarbonGlycoproteinsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2AptamerBioinformatic platformBiosensorScreen-printed electrodesSpike protein

Identifiers

PMID38470514
PMCPMC10933206
OpenAlexW4392710815

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.