Evidence map›Paper›PMID 37069170›Full record

ArticleScientific reports2023

Non-enzymatic glucose sensors composed of trimetallic CuO/Ag/NiO based composite materials.

Gowhar A Naikoo, Mustri Bano, Fareeha Arshad, Israr U Hassan, Fatima BaOmar, Iman M Alfagih, Murtaza M Tambuwala

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 54 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

7 authors at 3 institutions in 3 countries.

Gowhar A NaikooDepartment of Mathematics & Sciences, College of Arts & Applied Sciences, Dhofar University, 211, Salalah, Oman. gahmed@du.edu.om.
Mustri BanoDepartment of Mathematics & Sciences, College of Arts & Applied Sciences, Dhofar University, 211, Salalah, Oman. mustribano1@gmail.com.
Fareeha ArshadDepartment of Mathematics & Sciences, College of Arts & Applied Sciences, Dhofar University, 211, Salalah, Oman.
Israr U HassanCollege of Engineering, Dhofar University, 211, Salalah, Oman.
Fatima BaOmarDepartment of Mathematics & Sciences, College of Arts & Applied Sciences, Dhofar University, 211, Salalah, Oman.
Iman M AlfagihDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, 4545, Saudi Arabia.
Murtaza M TambuwalaLincoln Medical School - Universities of Nottingham and Lincoln, University of Lincoln, Brayford Pool, Lincoln, LN6 7TS, Lincolnshire, UK. mtambuwala@lincoln.ac.uk.
Dhofar University · OMKing Saud University · SAUniversity of Lincoln · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The escalating risk of diabetes and its consequential impact on cardiac, vascular, ocular, renal, and neural systems globally have compelled researchers to devise cost-effective, ultrasensitive, and reliable electrochemical glucose sensors for the early diagnosis of diabetes. Herein, we utilized advanced composite materials based on nanoporous CuO, CuO/Ag, and CuO/Ag/NiO for glucose detection. The crystalline structure and surface morphology of the synthesized materials were ascertained via powder X-ray diffraction (P-XRD), energy dispersive X-ray (EDX) spectroscopy, scanning electron microscopy (SEM) and transmission electron microscopy (TEM) analysis. The electro-catalytic properties of the manufactured electrode materials for glucose electro-oxidation in alkaline conditions were probed using cyclic voltammetry (CV) and differential pulse voltammetry (DPV) techniques. Notably, the CuO/Ag/NiO electrode material exhibited exceptional performance as a non-enzymatic glucose sensor, displaying a linear range of 0.001-5.50 mM, an ultrahigh sensitivity of 2895.3 μA mM

Indexed as

GlucoseNanocompositesCopperDielectric SpectroscopyElectrochemical TechniquesElectrodesCoppercupric oxideGlucose

Identifiers

PMID37069170
PMCPMC10110615
OpenAlexW4366189937

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.