Evidence mapPaperPMID 39965077Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Multifunctional Conductive Nanofibers for Self-Powered Glucose Biosensors.

Seda Gungordu Er, Rameesh Bulathsinghala, Selvinaz Burcu Kizilates, Bing Li, Rucchi Ryan, Tanveer A Tabish, Ishara Dharmasena, Mohan Edirisinghe

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Artificial Intelligence-Driven Soft Bioelectronics for Self-Powered Respiration Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Piezo-Phototronic PVDF/HfOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Multifunctional Conductive Nanofibers for Self-Powered Glucose Biosensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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.

Seda Gungordu ErDepartment of Mechanical Engineering, University College London, London, WC1E 7JE, UK.ORCID https://orcid.org/0000-0002-9952-8731
Rameesh BulathsinghalaWolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, LE11 3TU, UK.
Selvinaz Burcu KizilatesThe Institute for Materials Discovery, University College London, London, WC1E 7JE, UK.ORCID https://orcid.org/0000-0002-6613-6854
Bing LiThe Institute for Materials Discovery, University College London, London, WC1E 7JE, UK.ORCID https://orcid.org/0000-0002-1737-3423
Rucchi RyanAdvanced Technology Institute, University of Surrey, Guildford, Surrey, GU2 7XH, UK.
Tanveer A TabishDepartment of Mechanical Engineering, University College London, London, WC1E 7JE, UK.ORCID https://orcid.org/0000-0001-5578-076X
Ishara DharmasenaWolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, LE11 3TU, UK.ORCID https://orcid.org/0000-0002-7959-2840
Mohan EdirisingheDepartment of Mechanical Engineering, University College London, London, WC1E 7JE, UK.ORCID https://orcid.org/0000-0001-8258-7914

Funding

Ministry of National Education of Turkey
6 · The paper itself

Abstract

Electrochemical glucose biosensors are essential for diabetes management, and self-powered systems present an eco-friendly and innovative alternative. Traditional biosensors face several limitations including limited sensitivity, enzyme instability, and dependency on external power sources. Addressing these issues, the study develops a novel multifunctional nanofiber integrating biosensor for glucose detection and a self-powered motion sensor, utilizing an innovative triboelectric nanogenerator (TENG) system. Electrospun nanofibers, composed of graphene oxide (GO), porous graphene (PG), graphene foam (GF), polypyrrole (PPy), and polycaprolactone (PCL), demonstrate enhanced electrical conductivity, triboelectric efficiency, and mechanical strength. Among these, dip-coated nanofibers exhibited the highest conductivity of 4.9 × 10⁻⁵ S/cm, attributed to superior surface electrical properties of GO. PCL/PPy/GO nanofibers achieved the highest glucose detection performance in cyclic voltammetry and differential pulse voltammetry due to efficient electron transfer mechanisms of GO and PPy. Additionally, triboelectric tests revealed peak voltages of 63V with PCL/PPy/GO and polyvinylidene fluoride nanofibers containing glucose oxidase enzyme. Core-sheath and dip-coated nanofibers also demonstrated significant mechanical resilience (∼0.9 N force, ∼350 s durability). These findings highlight PCL/PPy/GO nanofibers as a multifunctional, efficient, and scalable solution, offering highly sensitive glucose detection and non-invasive sweat analysis along with robust energy harvesting for environmentally friendly and advanced diabetes management systems.

Indexed as

Biosensing TechniquesGlucoseNanofibersElectric ConductivityElectrochemical TechniquesGlucose OxidaseGraphiteHumansPolyestersPolymersPyrrolesGlucoseGlucose Oxidasegraphene oxideGraphitepolycaprolactonePolyestersPolymerspolypyrrolePyrrolescore‐sheath fiberselectroconductive fiberselectrospun nanofibergraphene oxideself‐powered biosensortriboelectric nanogenerator

Identifiers

PMID39965077
PMCPMC12079449

What Socratic 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 Socratic graph.