Evidence map›Paper›PMID 41507255›Full record

ArticleScientific reports2026

An aptamer-functionalized AuNPs/rGO nanocomposite biosensor for ultrasensitive detection of foodborne pathogen E. coli O157:H7.

Mohadeseh Izadi, Majid Arvand

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Mohadeseh IzadiElectroanalytical Chemistry Laboratory, Faculty of Chemistry, University of Guilan, Namjoo Street, P.O. Box: 1914-41335, Rasht, Iran.
Majid ArvandElectroanalytical Chemistry Laboratory, Faculty of Chemistry, University of Guilan, Namjoo Street, P.O. Box: 1914-41335, Rasht, Iran. arvand@guilan.ac.ir.ORCID http://orcid.org/0000-0002-5824-8688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foodborne pathogenic bacteria can cause food poisoning or infection, leading to disease. Early screening of foodborne pathogens has become crucial for managing and preventing these diseases. Here, we developed an electrochemical aptamer-based biosensor to detect Escherichia coli (E. coli O157:H7) in real samples. The glassy carbon electrode (GCE) underwent an initial treatment using a nanocomposite made of reduced graphene oxide (rGO) and gold nanoparticles (AuNPs) (AuNPs/rGO/GCE) to enhance the surface area and boost the sensor’s sensitivity. In addition to good electrical properties, nanocomposites made of rGO and AuNPs play a crucial role in sensor development by enabling high loading and adequate immobilization of biorecognition elements like aptamers while preserving their activity and affinity. Next, to elevate the specificity of the altered electrode, aptamers were linked to the exterior of the prepared electrode (APT/AuNPs/rGO/GCE). The prepared electrode underwent characterization using field emission scanning electron microscopy, energy-dispersive spectroscopy, Fourier-transform infrared spectroscopy, and electrochemical impedance spectroscopy. This proposed aptasensor can accurately identify E. coli O157:H7 within a range of 6 to 6 × 108 CFU/mL and has a detection limit of 3.25 CFU/mL. Microbial culture results validate the aptasensor findings, providing quicker results and a lower detection limit.

Indexed as

Aptamers, NucleotideBiosensing TechniquesEscherichia coli O157GoldGraphiteMetal NanoparticlesNanocompositesElectrochemical TechniquesElectrodesFood MicrobiologyLimit of DetectionAptamers, NucleotideGoldgraphene oxideGraphiteAptasensorElectrochemical biosensorEscherichia coliNanomaterial

Identifiers

PMID41507255
PMCPMC12823673

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.