Evidence map›Paper›PMID 41552520›Full record

ArticleACS omega2026

Development of a Robust and Flexible Wearable Sensor Derived from Disulfide-Linked Polyurethane/Graphene Nanoplatelets with Enhanced Temperature Tolerance.

Saurabh Kumar Jha, Priyam Srivastava, Rani Rohini

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In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Saurabh Kumar JhaDepartment of Materials Engineering, Indian Institute of Technology Jammu, Jagti, NH-44, PO Nagrota, Jammu 181221, Jammu and Kashmir , India.
Priyam SrivastavaDepartment of Materials Engineering, Indian Institute of Technology Jammu, Jagti, NH-44, PO Nagrota, Jammu 181221, Jammu and Kashmir , India.ORCID https://orcid.org/0000-0002-0432-4630
Rani RohiniDepartment of Materials Engineering, Indian Institute of Technology Jammu, Jagti, NH-44, PO Nagrota, Jammu 181221, Jammu and Kashmir , India.ORCID https://orcid.org/0009-0001-0311-1027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents a novel method to synthesize polyurethane (PU) with a disulfide linkage and embed graphene nanoplatelet (GnP) to form composite films for wearable strain sensors. These films are highly sensitive and flexible. The PU was chain-extended with a disulfide chain extender, which improved molecular flexibility. This modification provided greater flexibility in comparison to traditional butanediol-extended PU. The chemical structure of the samples was qualitatively analyzed utilizing FTIR spectroscopy. Purity of GnP was characterized using Raman spectroscopy. The shape and structure of the nanocomposite were analyzed by using scanning electron microscopy (SEM), which showed the distribution of GnP in the PU matrix. Atomic force microscopy (AFM) was used to analyze the three-dimensional arrangement of GnP in the polymer. Graphite coating was applied to improve the conductive network within the material. Electromechanical testing was performed by using an in-house Arduino-controlled linear actuator. The results showed a higher gauge factor and better sensitivity than typical commercial sensors. This novel approach combines the properties of polyurethane with disulfide linkages and the strong electrical conductivity of GnP. As a result of its enhanced performance, it showed an excellent result for the monitoring of human health, and it could also be used in wearable devices and personalized healthcare. In addition, thermal analysis was carried out to determine the thermal degradation and stability of both the hard segment and the soft segment. The glass transition temperature was determined by using differential scanning calorimetry (DSC) analysis. This wearable sensor exhibits excellent temperature tolerance, ensuring reliable operation under extreme conditions.

Identifiers

PMID41552520
PMCPMC12809336

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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.