Evidence map›Paper›PMID 40796589›Full record

ArticleScientific reports2025

Reduced graphene oxide-based absorbance biosensors for detecting Escherichia coli DNA.

Chau Nguyen Minh Hoang, Son Hai Nguyen, Mai Thi Tran

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 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

3 authors.

Chau Nguyen Minh HoangVinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam.
Son Hai NguyenSchool of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam. son.nguyenhai@hust.edu.vn.
Mai Thi TranVinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam. mai.tt@vinuni.edu.vn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Escherichia coli represents a significant concern for food safety, water quality, medical applications, and environmental health, necessitating effective detection methods. This study presents a reduced graphene oxide-based biosensor for the sensitive and specific detection of E. coli DNA. The functionalized reduced graphene oxide was successfully synthesized using a modified Hummers' method, followed by a hydrothermal reduction step. Structural, morphological, and chemical properties of the reduced graphene oxide were confirmed through Fourier-transform infrared spectroscopy, scanning electron microscopy, and X-ray diffraction. The biosensor incorporates functionalized reduced graphene oxide linked to amino-modified probe DNA sequences specific to E. coli markers, providing stability and selective hybridization. Detection of E. coli DNA in the range of 0-476.19 fM is achieved by measuring absorbance changes at 273 nm, where an increase in absorbance indicates the presence of complementary E. coli single-stranded DNA. Performance testing with various DNA concentrations revealed a linear relationship, achieving a limit of detection of 80.28 fM and demonstrating high selectivity against non-target bacteria such as Bacillus subtilis, Enterococcus, Vibrio proteolyticus, and Staphylococcus. Optimization efforts identified the amino-E.coli BL21 probe as the only probe capable of detecting E. coli DNA. The reduced graphene oxide-based biosensor holds promise for rapid detection in pathogen monitoring, clinical diagnostics, and environmental analysis, paving the way for enhanced DNA biosensing technologies.

Indexed as

Biosensing TechniquesDNA, BacterialEscherichia coliGraphiteLimit of DetectionSpectroscopy, Fourier Transform InfraredDNA, Bacterialgraphene oxideGraphite

Identifiers

PMID40796589
PMCPMC12344144

What OpenQuestion holds

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Registered trials

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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.