Evidence map›Paper›PMID 35335764›Full record

ReviewNanomaterials (Basel, Switzerland)2022

Integration of Different Graphene Nanostructures with PDMS to Form Wearable Sensors.

Shan He, Yang Zhang, Jingrong Gao, Anindya Nag, Abdul Rahaman

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

Shan HeSchool of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China.
Yang ZhangSchool of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China.
Jingrong GaoSchool of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China.
Anindya NagFaculty of Electrical and Computer Engineering, Technische Universität Dresden, 01062 Dresden, Germany.ORCID 0000-0002-3760-1470
Abdul RahamanSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.ORCID 0000-0002-7680-8423

Funding

Deutsche Forschungsgemeinschaft EXC 2050/1 - Project ID 390696704National Natural Science Foundation of China 32150410363
6 · The paper itself

Abstract

This paper presents a substantial review of the fabrication and implementation of graphene-PDMS-based composites for wearable sensing applications. Graphene is a pivotal nanomaterial which is increasingly being used to develop multifunctional sensors due to their enhanced electrical, mechanical, and thermal characteristics. It has been able to generate devices with excellent performances in terms of sensitivity and longevity. Among the polymers, polydimethylsiloxane (PDMS) has been one of the most common ones that has been used in biomedical applications. Certain attributes, such as biocompatibility and the hydrophobic nature of PDMS, have led the researchers to conjugate it in graphene sensors as substrates or a polymer matrix. The use of these graphene/PDMS-based sensors for wearable sensing applications has been highlighted here. Different kinds of electrochemical and strain-sensing applications have been carried out to detect the physiological signals and parameters of the human body. These prototypes have been classified based on the physical nature of graphene used to formulate the sensors. Finally, the current challenges and future perspectives of these graphene/PDMS-based wearable sensors are explained in the final part of the paper.

Indexed as

graphenenanoplateletsreduced graphene oxidesensorswearable

Identifiers

PMID35335764
PMCPMC8949288

What OpenQuestion holds

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Registered trials

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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.