Evidence map›Paper›PMID 36433566›Full record

ArticleSensors (Basel, Switzerland)2022

Wearable Healthcare Monitoring Based on a Microfluidic Electrochemical Integrated Device for Sensing Glucose in Natural Sweat.

Zouaghi Noura, Imran Shah, Shahid Aziz, Aamouche Ahmed, Dong-Won Jung, Lakssir Brahim, Ressami ElMostafa

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
1.9field-weighted citation impact, top 15% 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, 26 citations in OpenAlex.

  1. Beyond Flexible: Unveiling the Next Era of Flexible Electronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2024
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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 4 institutions in 3 countries.

Zouaghi NouraNational School of Applied Sciences, LISA Laboratory, Cadi Ayyad University, Marrakech 40000, Morocco.ORCID 0000-0003-1382-6146
Imran ShahDepartment of Aerospace Engineering, College of Aeronautical Engineering, National University of Sciences and Technology, Risalpur 24090, Pakistan.ORCID 0000-0002-1833-4098
Shahid AzizDepartment of Mechanical Engineering, Jeju National University, 102 Jejudaehak-ro, Jeju-si 63243, Republic of Korea.ORCID 0000-0003-1190-6273
Aamouche AhmedNational School of Applied Sciences, LISA Laboratory, Cadi Ayyad University, Marrakech 40000, Morocco.ORCID 0000-0002-1589-7397
Dong-Won JungDepartment of Mechanical Engineering, Jeju National University, 102 Jejudaehak-ro, Jeju-si 63243, Republic of Korea.ORCID 0000-0001-9773-4884
Lakssir BrahimMoroccan Foundation for Advanced Science, Innovation and Research, Digitalization & Microelectronics Smart Devices Laboratory, Rabat 10100, Morocco.
Ressami ElMostafaMoroccan Foundation for Advanced Science, Innovation and Research, Digitalization & Microelectronics Smart Devices Laboratory, Rabat 10100, Morocco.
Cadi Ayyad University · MAJeju National University · KRMoroccan Foundation for Advanced Science, Innovation and Research · MANational University of Sciences and Technology · PK

Funding

Brain Pool program of the Ministry of Science and by ICT through the National Research Foundation of Korea 2021H1D3A2A01100014
6 · The paper itself

Abstract

Wearable sweat sensors offer the possibility of continuous real-time health monitoring of an individual at a low cost without invasion. A variety of sweat glucose sensors have been developed thus far to help diabetes patients frequently monitor blood glucose levels through sweat glucose as a surrogate marker. The present study demonstrates the development and characterization of a three-dimensional paper-based microfluidic electrochemical integrated device (3D PMED) for measuring glucose concentration in sweat in real-time via simple, non-invasive, capillary-action-based sample collection. The device was selective for glucose, and it detected glucose accurately in the clinically relevant range (0~2 mM) in an off-body setup. To the best of our knowledge, this is the first time NEXAR™ has been used for biosensing applications. Further, the developed glucose sensor has acceptable sensitivity of 16.8 µA/mM/cm

Indexed as

SweatWearable Electronic DevicesBlood GlucoseBlood Glucose Self-MonitoringDelivery of Health CareGlucoseHumansMicrofluidicsBlood GlucoseGlucoseglucose detectionscreen-printed electrodesweatwearable microfluidic sensors

Identifiers

PMID36433566
PMCPMC9698867
OpenAlexW4309449844

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.