Evidence map›Paper›PMID 39683820›Full record

ArticleMolecules (Basel, Switzerland)2024

Laser-Induced Graphene Decorated with MOF-Derived NiCo-LDH for Highly Sensitive Non-Enzymatic Glucose Sensor.

Longxiao Li, Yufei Han, Yuzhe Zhang, Weijia Wu, Wei Du, Guojun Wen, Siyi Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Longxiao LiSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.
Yufei HanSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.
Yuzhe ZhangSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.
Weijia WuSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.
Wei DuSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.
Guojun WenSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.
Siyi ChengSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.

Funding

Key research and development project of Hubei Province 2020BAB054National Natural Science Foundation of China NO. 41972325National Natural Science Foundation of China NO. 52205611Natural Science Foundation of Chongqing 2023NSCQ-MSX4247Natural Science Foundation of Hubei Province 2022CFB121
6 · The paper itself

Abstract

Designing and fabricating a highly sensitive non-enzymatic glucose sensor is crucial for the early detection and management of diabetes. Meanwhile, the development of innovative electrode substrates has become a key focus for addressing the growing demand for constructing flexible sensors. Here, a simple one-step laser engraving method is applied for preparing laser-induced graphene (LIG) on polyimide (PI) film, which serves as the sensor substrate. NiCo-layered double hydroxides (NiCo-LDH) are synthesized on LIG as a precursor, utilizing the zeolitic imidazolate framework (ZIF-67), and then reacted with Ni(NO

Indexed as

Biosensing TechniquesElectrochemical TechniquesGlucoseGraphiteHydroxidesLasersElectrodesLimit of DetectionMetal-Organic FrameworksNickelGlucoseGraphiteHydroxidesMetal-Organic FrameworksNickelflexibleglucose sensorlaser-induced grapheneNiCo-LDHZIF-67

Identifiers

PMID39683820
PMCPMC11643804

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.