Evidence map›Paper›PMID 37758823›Full record

ArticleScientific reports2023

Highly sensitive label-free biosensor: graphene/CaF

Behnam Jafari, Elnaz Gholizadeh, Bahram Jafari, Moheimen Zhoulideh, Ehsan Adibnia, Mahdi Ghafariasl, Mohammad Noori, Saeed Golmohammadi

Abstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

8 authors.

Behnam Jafari *Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, 5166616471, Iran. behnam.jafari95@ms.tabrizu.ac.ir.ORCID http://orcid.org/0000-0001-6071-3609
Elnaz Gholizadeh *Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, 5166616471, Iran.ORCID http://orcid.org/0000-0003-3308-4872
Bahram JafariDepartment of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada.ORCID http://orcid.org/0000-0002-2573-9659
Moheimen ZhoulidehDepartment of Pharmacology, I.M. Sechenov First Moscow State Medical University (Sechenov university), Moscow, Russia.
Ehsan AdibniaFaculty of Electrical and Computer Engineering, University of Sistan and Baluchestan (USB), Zahedan, Iran.
Mahdi GhafariaslDepartment of Physics and Astronomy, University of Georgia, Athens, GA, 30602, USA.
Mohammad NooriElectrical Engineering Department, Technical and Engineering Faculty, University of Bonab, Bonab, East Azerbaijan, Iran.
Saeed GolmohammadiFaculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, 5166616471, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the primary goals for the researchers is to create a high-quality sensor with a simple structure because of the urgent requirement to identify biomolecules at low concentrations to diagnose diseases and detect hazardous chemicals for health early on. Recently graphene has attracted much interest in the field of improved biosensors. Meanwhile, graphene with new materials such as CaF

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Identifiers

PMID37758823
PMCPMC10533514

What OpenQuestion holds

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LicenceCC BY
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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.