Evidence map›Paper›PMID 41286302›Full record

ArticleScientific reports2025

An ultrasensitive and selective electrochemical biosensor for Escherichia coli based on bacteria-imprinted polydopamine and a magnetic nanocomposite modifier.

Ali Gorjizadeh Kohvade, Hamid Reza Rajabi, Mahmoud Roushani, Dawood Elhamifar, Farkhondeh Dadvar

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Ali Gorjizadeh KohvadeChemistry Department, Yasouj University, Yasouj, 75918-74831, Iran.
Hamid Reza RajabiChemistry Department, Yasouj University, Yasouj, 75918-74831, Iran. hr.rajabi@gmail.com.
Mahmoud RoushaniDepartment of Chemistry, Faculty of Sciences, Ilam University, P.O. BOX. 69315-516, Ilam, Iran.
Dawood ElhamifarChemistry Department, Yasouj University, Yasouj, 75918-74831, Iran.
Farkhondeh DadvarChemistry Department, Yasouj University, Yasouj, 75918-74831, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study developed an electrochemical biosensor utilizing a polydopamine film for the highly selective, ultrasensitive, and efficient determination of E. coli. A nanocomposite containing a magnetic graphene oxide-ionic liquid-palladium (MGO-IL-Pd) was synthesized and used as a chemical modifier to create a modified glassy carbon electrode (MGCE). Subsequently, dopamine was deposited on the GCE as a monomer during the electropolymerization process to prepare a bacteria imprinted polymer (BIP). After removing the E. coli as a template, the MGCE was employed for detecting the bacteria. The electrochemical performance of the BIP-based sensor was studied through square wave voltammetry (SWV) and cyclic voltammetry (CV). When E. coli was introduced, a significant current shift was observed, indicating bacterial entry into the BIPs' cavities. The biosensor successfully detected E. coli over a wide concentration range of 5.0 to 1.0 × 10⁷ CFU/mL, with a low detection limit of 1.5 CFU/mL. The biosensor's performance was compared to a non-bacteria imprinted polymer (NBIP) control, revealing a significant synergistic enhancement in detection signal due to the selective BIP cavities. Under optimum conditions, the sensor can be effectively applied to determine E. coli in human urine and serum samples with high precision and excellent recovery percentages.

Indexed as

Biosensing TechniquesElectrochemical TechniquesEscherichia coliIndolesNanocompositesPolymersElectrodesGraphiteHumansLimit of DetectionMolecular Imprintinggraphene oxideGraphiteIndolespolydopaminePolymersBacteria-imprinted polymerElectrochemical biosensorEscherichia coli detection

Identifiers

PMID41286302
PMCPMC12749742

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.