Evidence map›Paper›PMID 38250355›Full record

ArticleACS omega2024

Rapid Detection and Identification of Vancomycin-Sensitive Bacteria Using an Electrochemical Apta-Sensor.

Zorica Novakovic, Majd Khalife, Vlad Costache, Maria Joao Camacho, Susana Cardoso, Veronica Martins, Ivana Gadjanski, Marko Radovic, Jasmina Vidic

Abstract read
In one paragraph

Article in ACS omega, 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
–field-weighted citation impact
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.

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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

9 authors.

Zorica NovakovicUniversity of Novi Sad, BioSense Institute, 21000 Novi Sad, Serbia.
Majd KhalifeUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, UMR 1319, 78350 Jouy-en-Josas, France.
Vlad CostacheUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, UMR 1319, 78350 Jouy-en-Josas, France.
Maria Joao CamachoINESC Microsistemas e Nanotecnologias Rua Alves Redol, 1000-049 Lisbon, Portugal.
Susana CardosoINESC Microsistemas e Nanotecnologias Rua Alves Redol, 1000-049 Lisbon, Portugal.ORCID https://orcid.org/0000-0001-6913-6529
Veronica MartinsINESC Microsistemas e Nanotecnologias Rua Alves Redol, 1000-049 Lisbon, Portugal.
Ivana GadjanskiUniversity of Novi Sad, BioSense Institute, 21000 Novi Sad, Serbia.ORCID https://orcid.org/0000-0003-0713-7897
Marko RadovicUniversity of Novi Sad, BioSense Institute, 21000 Novi Sad, Serbia.ORCID https://orcid.org/0000-0001-7565-4015
Jasmina VidicUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, UMR 1319, 78350 Jouy-en-Josas, France.ORCID https://orcid.org/0000-0002-8549-8199

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to combat the complex and diverse infections caused by bacteria, it is essential to develop efficient diagnostic tools. Current techniques for bacterial detection rely on laborious multistep procedures, with high costs and extended time of analysis. To overcome these limitations, we propose here a novel portable electrochemical biosensor for the rapid detection and identification of Gram-positive bacteria that leverages the recognition capabilities of vancomycin and aptamers. A vancomycin-modified screen-printed carbon electrode was used to selectively capture Gram-positive bacteria susceptible to this antibiotic. Electrochemical impedance spectroscopy and scanning electron microscopy demonstrated that capture was achieved in 10 min, with a limit of detection of only 2 CFU/mL. We then tested the device's potential for aptamer-based bacterial identification using

Identifiers

PMID38250355
PMCPMC10795129

What OpenQuestion holds

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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.