Evidence map›Paper›PMID 41467532›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Ultra-Sensitive Nanofiber-Based Triboelectric Nanogenerator for Energy Harvesting and Self-Powered Sensing.

Sajib Roy, Bhaskar Dudem, Md Delowar Hussain, Vlad Stolojan, Seyedeh Sadrieh Emadian, Satheesh Krishnamurthy, Jae Sung Yun, S Ravi P Silva

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Sajib RoyAdvanced Technology Institute, Department of Computer Science and Electronic Engineering, University of Surrey, Guildford, Surrey, UK.
Bhaskar DudemAdvanced Technology Institute, Department of Computer Science and Electronic Engineering, University of Surrey, Guildford, Surrey, UK.
Md Delowar HussainAdvanced Technology Institute, Department of Computer Science and Electronic Engineering, University of Surrey, Guildford, Surrey, UK.
Vlad StolojanAdvanced Technology Institute, Department of Computer Science and Electronic Engineering, University of Surrey, Guildford, Surrey, UK.
Seyedeh Sadrieh EmadianAdvanced Technology Institute, Department of Computer Science and Electronic Engineering, University of Surrey, Guildford, Surrey, UK.
Satheesh KrishnamurthyAdvanced Technology Institute, Department of Computer Science and Electronic Engineering, University of Surrey, Guildford, Surrey, UK.
Jae Sung YunAdvanced Technology Institute, Department of Computer Science and Electronic Engineering, University of Surrey, Guildford, Surrey, UK.
S Ravi P SilvaAdvanced Technology Institute, Department of Computer Science and Electronic Engineering, University of Surrey, Guildford, Surrey, UK.ORCID https://orcid.org/0000-0002-0356-1319

Funding

Engineering and Physical Sciences Research Council EP/W524463/1
6 · The paper itself

Abstract

Triboelectric nanogenerator (TENG) represents a major advancement in capability for self-powered sensors, with its ability to convert low-frequency mechanical movements into electricity. These devices serve at present an unmet medical and societal need in the monitoring of human activity and enhancing interactions between humans and machines, the optioned interface for setting up verifiable digital twins. Here, a novel composite nanofibrous TENG (CNF-TENG) based on borophene@poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) is constructed through electrospinning. Comprehensive materials characterization of the exfoliated nanosheets confirms crystalline sheet morphology and validates their incorporation into the fibers. The inclusion of borophene introduces a dual innovation by enhancing both the jet stressing in electrospinning and the quality of doped films. This improvement is attributed to the enhanced effective permittivity through interfacial polarization, which promotes β-phase formation, electron-donating capacity, surface charge trapping, and refined fiber morphology, while inducing a transition from a hydrophobic to a superhydrophobic surface state. When paired with nylon 66 nanofibers, the CNF-TENG exhibits a remarkable sensitivity of 53.8 ± 1.2 V kPa

Indexed as

boropheneelectrospinningself‐powered sensorstriboelectric nanogeneratorswearables

Identifiers

PMID41467532
PMCPMC12910543

What OpenQuestion holds

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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.