Evidence map›Paper›PMID 34821679›Full record

ArticleBiosensors2021

Superior Non-Invasive Glucose Sensor Using Bimetallic CuNi Nanospecies Coated Mesoporous Carbon.

Ahmed Bahgat Radwan, Sreedevi Paramparambath, John-John Cabibihan, Abdulaziz Khalid Al-Ali, Peter Kasak, Rana A Shakoor, Rayaz A Malik, Said A Mansour, Kishor Kumar Sadasivuni

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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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

9 authors at 3 institutions in 1 country.

Ahmed Bahgat RadwanCenter for Advanced Materials (CAM), Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0003-1115-3590
Sreedevi ParamparambathCenter for Advanced Materials (CAM), Qatar University, Doha P.O. Box 2713, Qatar.
John-John CabibihanDepartment of Mechanical and Industrial Engineering, Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0001-5892-743X
Abdulaziz Khalid Al-AliDepartment of Computer Engineering, Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0003-0006-2642
Peter KasakCenter for Advanced Materials (CAM), Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0003-4557-1408
Rana A ShakoorCenter for Advanced Materials (CAM), Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0003-3397-5309
Rayaz A MalikWeill Cornell Medicine-Qatar, Qatar Foundation-Education City, Doha P.O. Box 24144, Qatar.
Said A MansourQatar Energy and Environment Research Institute, Hamad bin Khalifa University, Qatar Foundation, Doha P.O. Box 34110, Qatar.
Kishor Kumar SadasivuniCenter for Advanced Materials (CAM), Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0003-2730-6483
Qatar University · QAHamad bin Khalifa University · QAWeill Cornell Medical College in Qatar · QA

Funding

Qatar National Research Fund NPRP11S-0110-180247
6 · The paper itself

Abstract

The assessment of blood glucose levels is necessary for the diagnosis and management of diabetes. The accurate quantification of serum or plasma glucose relies on enzymatic and nonenzymatic methods utilizing electrochemical biosensors. Current research efforts are focused on enhancing the non-invasive detection of glucose in sweat with accuracy, high sensitivity, and stability. In this work, nanostructured mesoporous carbon coupled with glucose oxidase (GO

Indexed as

Biosensing TechniquesCarbonMetal NanoparticlesCopperElectrochemical TechniquesElectrodesGlucoseGlucose OxidaseNickelCarbonCopperGlucoseGlucose OxidaseNickelbimetallic nanomaterialsglucose detectionmesoporous carbonnon-invasivesweat sensor

Identifiers

PMID34821679
PMCPMC8615784
OpenAlexW3214680801

What OpenQuestion holds

Textmetadata
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.