Evidence map›Paper›PMID 26036585›Full record

ArticleEnvironmental science and pollution research international2015

Electrochemical impedance immunosensor for rapid detection of stressed pathogenic Staphylococcus aureus bacteria.

Karima Bekir, Houcine Barhoumi, Mohamed Braiek, Amani Chrouda, Nadia Zine, Nabil Abid, Abdelrazek Maaref, Amina Bakhrouf, Hafedh Ben Ouada, Nicole Jaffrezic-Renault and 1 more

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In one paragraph

Article in Environmental science and pollution research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 52 citations in OpenAlex.

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  9. Pathogen detection with electrochemical biosensors: Advantages, challenges and future perspectives.Journal of electroanalytical chemistry (Lausanne, Switzerland) · 2021
    Review
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  13. Electrochemical biosensors for pathogen detection.Biosensors & bioelectronics · 2020
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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

11 authors at 3 institutions in 2 countries.

Karima BekirLaboratoire d'Analyse, Traitement et Valorisation des Polluants de l'Environnement et des Produits, Faculté de Pharmacie de Monastir, Monastir, Tunisia.
Houcine BarhoumiLaboratoire des Sciences Analytiques, UMR CNRS 5180, Université Claude Bernard-Lyon1, Bâtiment CPE, 69622, Villeurbanne Cedex, France.
Mohamed BraiekLaboratoire des Sciences Analytiques, UMR CNRS 5180, Université Claude Bernard-Lyon1, Bâtiment CPE, 69622, Villeurbanne Cedex, France.
Amani ChroudaLaboratoire des Sciences Analytiques, UMR CNRS 5180, Université Claude Bernard-Lyon1, Bâtiment CPE, 69622, Villeurbanne Cedex, France.
Nadia ZineLaboratoire des Sciences Analytiques, UMR CNRS 5180, Université Claude Bernard-Lyon1, Bâtiment CPE, 69622, Villeurbanne Cedex, France.
Nabil AbidLaboratoire d'Analyse, Traitement et Valorisation des Polluants de l'Environnement et des Produits, Faculté de Pharmacie de Monastir, Monastir, Tunisia.
Abdelrazek MaarefLaboratoire de Physique et Chimie des Interfaces, Faculté des Sciences de Monastir, Tunisie, Avenue de l'Environnement, 5019, Monastir, Tunisia.
Amina BakhroufLaboratoire d'Analyse, Traitement et Valorisation des Polluants de l'Environnement et des Produits, Faculté de Pharmacie de Monastir, Monastir, Tunisia.
Hafedh Ben OuadaResearch Unit, Analysis and processes applied to Environment Higher Institute of Applied Sciences and Technology of Mahdia, Monastir University, Monastir, Tunisia.
Nicole Jaffrezic-RenaultLaboratoire des Sciences Analytiques, UMR CNRS 5180, Université Claude Bernard-Lyon1, Bâtiment CPE, 69622, Villeurbanne Cedex, France.
Hedi Ben MansourResearch Unit, Analysis and processes applied to Environment Higher Institute of Applied Sciences and Technology of Mahdia, Monastir University, Monastir, Tunisia. hdbenmansour@gmail.com.
University of Monastir · TNUniversité Claude Bernard Lyon 1 · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we report the adaptation of bacteria to stress conditions that induce instability of their cultural, morphological, and enzymatic characters, on which the identification of pathogenic bacteria is based. These can raise serious issues during the characterization of bacteria. The timely detection of pathogens is also a subject of great importance. For this reason, our objective is oriented towards developing an immunosensing system for rapid detection and quantification of Staphylococcus aureus. Polyclonal anti-S. aureus are immobilized onto modified gold electrode by self-assembled molecular monolayer (SAM) method. The electrochemical performances of the developed immunosensor were evaluated by impedance spectroscopy through the monitoring of the charge transfer resistance at the modified solid/liquid interface using ferri-/ferrocyanide as redox probe. The developed immunosensor was applied to detect stressed and resuscitate bacteria. As a result, a stable and reproducible immunosensor with sensitivity of 15 kΩ/decade and a detection limit of 10 CFU/mL was obtained for the S. aureus concentrations ranging from 10(1) to 10(7) CFU/mL. A low deviation in the immunosensor response (±10 %) was signed when it is exposed to stressed and not stressed bacteria.

Indexed as

Stress, PhysiologicalAdaptation, PhysiologicalAntibodies, ImmobilizedBiosensing TechniquesElectric ImpedanceElectrochemistryElectrodesGoldLimit of DetectionStaphylococcus aureusTime FactorsAntibodies, ImmobilizedGoldImmunosensorImpedance spectroscopySAMStaphylococcus aureusStarvation

Identifiers

PMID26036585
OpenAlexW624558230

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.