Evidence map›Paper›PMID 34507206›Full record

ArticleBiosensors & bioelectronics2021

Laser-induced graphene non-enzymatic glucose sensors for on-body measurements.

Jia Zhu, Shangbin Liu, Zhihui Hu, Xianzhe Zhang, Ning Yi, Kairui Tang, Michael Gregory Dexheimer, Xiaojun Lian, Qing Wang, Jian Yang and 2 more

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
16.1field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 219 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

12 authors at 1 institution in 2 countries.

Jia ZhuDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA. Electronic address: jmz5364@psu.edu.
Shangbin LiuDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.
Zhihui HuDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA; School of Logistics Engineering, Wuhan University of Technology, Wuhan, 430063, China.
Xianzhe ZhangDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.
Ning YiDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA; Department of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
Kairui TangDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.
Michael Gregory DexheimerDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.
Xiaojun LianDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
Qing WangDepartment of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
Jian YangDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
Jennifer GrayMaterials Research Institute, The Pennsylvania State University, University Park, PA, 16802, USA.
Huanyu ChengDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA; Department of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA; Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA. Electronic address: huanyu.cheng@psu.edu.
Pennsylvania State University · US

Funding

Wearable, Graphene-based Flexible Sensors for Chronic Monitoring of Venous Thromboembolism for High-Risk PatientsR61HL154215 · NHLBI · ACTUATED MEDICAL, INC. · PI BAGWELL, ROGER BROOKS · 2020 to 2021
$787k
NHLBI NIH HHS R61 HL154215
6 · The paper itself

Abstract

Non-enzymatic glucose sensors outperform enzymatic ones in terms of cost, sensitivity, stability, and operating duration. Though highly sensitive, it is still desirable to further improve the sensitivity of non-enzymatic glucose sensors to detect a trace amount of glucose in sweat and other biofluids. Among the demonstrated effective approaches using bimetals or 3D porous structures, the porous laser-induced graphene (LIG) on flexible polymers showcases good conductivity and a simple fabrication process for the integration of sensing materials. The uniform electroless plating of the nickel and gold layer on LIG electrodes demonstrates significantly enhanced sensitivity and a large linear range for glucose sensing. The sensor with the porous LIG foam exhibits a high sensitivity of 1080 μA mM

Indexed as

Biosensing TechniquesGraphiteGlucoseHumansLasersSweatGlucoseGraphiteIntegrated reaction cavity for on-body measurementsLaser-induced graphene foams or fibersNon-enzymatic glucose sensorsPorous/3d structures for improved sensitivity

Identifiers

PMID34507206
PMCPMC8556579
OpenAlexW3197321815

What OpenQuestion holds

Textmetadata
LicenceTDM
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.