Evidence map›Paper›PMID 37353545›Full record

ArticleScientific reports2023

Absorbance biosensors-based hybrid [Formula: see text] nanosheets for Escherichia coli detection.

Son Hai Nguyen, Phan Kim Thi Vu, Mai Thi Tran

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Son Hai NguyenSchool of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi, 100000 Vietnam.
Phan Kim Thi VuCollege of Engineering and Computer Science, VinUniversity, Hanoi, 100000 Vietnam.
Mai Thi TranCollege of Engineering and Computer Science, VinUniversity, Hanoi, 100000 Vietnam.
VinUniversity · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detecting Escherichia coli is essential in biomedical, environmental, and food safety applications. In this paper, we have developed a simple, rapid, sensitive, and selective E. coli DNA sensor based on the novel hybrid-type [Formula: see text] and [Formula: see text] nanosheets. The sensor uses the absorbance measurement to distinguish among the DNA of E. coli, Vibrio proteolyticus, and Bacillus subtilis when implemented in conjunction with [Formula: see text]-probes. Our experiments showed that the absorbance increased when sensors detected E. coli DNA, whereas it decreased when sensors detected V. proteolyticus and B. subtilis DNA. To the best of authors' knowledge, there are no reports using the novel hybrid-[Formula: see text] and [Formula: see text] materials for differentiating three types of DNA using cost-effective and rapid absorbance measurements. In addition, the label-free E. coli DNA biosensor exhibited a linear response in the range of 0 fM to 11.65 fM with a limit of detection of 2 fM. The effect of [Formula: see text]-probes on our sensors' working performance is also investigated. Our results will facilitate further research in pathogen detection applications, which have not been fully developed yet.

Indexed as

Biosensing TechniquesEscherichia coliBacillus subtilis

Identifiers

PMID37353545
PMCPMC10290106
OpenAlexW4381805769

What OpenQuestion holds

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LicenceCC BY
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.