Evidence map›Paper›PMID 41869861›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Bio-templated Piezoresistive Yarn for High Sensitivity Movement Monitoring Textiles.

Swarnalok De, Viivi Mäkelä, Matteo Iannacchero, Maija Vaara, Fevzihan Basarir, Hossein Baniasadi, Sharon Saarinen, Jani Sainio, Kristiina Mäkinen, Mauri A Kostiainen and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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
–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

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

11 authors.

Swarnalok DeDepartment of Chemistry and Materials Science, Aalto University, Aalto, Finland.ORCID https://orcid.org/0000-0001-9705-9946
Viivi MäkeläDepartment of Bioproducts and Biosystems, Aalto University, Aalto, Finland.
Matteo IannaccheroDepartment of Chemistry and Materials Science, Aalto University, Aalto, Finland.
Maija VaaraDepartment of Chemistry and Materials Science, Aalto University, Aalto, Finland.
Fevzihan BasarirDepartment of Chemistry and Materials Science, Aalto University, Aalto, Finland.
Hossein BaniasadiDepartment of Chemical and Metallurgical Engineering, Aalto University, Aalto, Finland.
Sharon SaarinenDepartment of Bioproducts and Biosystems, Aalto University, Aalto, Finland.
Jani SainioDepartment of Applied Physics, Aalto University, Aalto, Finland.
Kristiina MäkinenDepartment of Agricultural Sciences, University of Helsinki, Helsinki, Finland.
Mauri A KostiainenDepartment of Bioproducts and Biosystems, Aalto University, Aalto, Finland.
Jaana VapaavuoriDepartment of Chemistry and Materials Science, Aalto University, Aalto, Finland.ORCID https://orcid.org/0000-0002-5923-0789

Funding

Academy of Finland 332 950Academy of Finland's Flagship Programme 318 890Academy of Finland's Flagship Programme 318 891Academy of Finland SUPER-WEAR project 322 214Centers of Excellence Programme 2022-2029Centers of Excellence Programme 346110Centers of Excellence Programme 364201EchoSense project funded by Kone FoundationElla Georg Ehrnrooth FoundationEuropean Research Council (H2020) 101 002 258European Research Council (H2020) 101031327European Research Council (H2020) H2020-MSCA-IF-2020Finnish cultural foundationResearch in the Mäkinen lab
6 · The paper itself

Abstract

Movement-sensing textiles are crucial for advancing wearable technology, providing solutions for real-time human motion monitoring. Textile-integrated piezoresistive sensors often struggle with balancing sensitivity and mechanical stability, alongside sustainability concerns regarding the use of traditional fossil-based materials like polyurethane and polydimethylsiloxane, commonly employed in sensor fabrication. Our study introduces bio-derived co-polyamide-starch (CoPA-SS) yarns as the substrate for piezoresistive sensors, leveraging the yarn's shape memory properties and reactive surface for further chemical modification essential for sensor development. Potato virus A (PV) particles serve as biological templates for creating a uniform silver nanoparticle (AgNP) coating, forming a piezoresistive network that enables long-range conductivity with minimal hysteresis. This network is covalently attached to the reactive surface of CoPA-SS yarns, enhancing sensor stability. These sensors exhibit linear stress-strain behavior across a 0-50% strain range, a gauge factor exceeding 400 at 10% strain, a fast response time of 150 ms, and stability over extensive cycling, including up to 7000 cycles at 50% strain. We also demonstrate sensor textile integration, allowing flexible and repeatable sensor placement without compromising textile integrity. Our pioneering approach of bio-templating AgNPs on PV particles positions this sensor among the highest-performing biobased sensors reported, paving the way for future high-performance wearable electronics.

Indexed as

Biosensing TechniquesTextilesWearable Electronic DevicesHumansMovementSilverSilverbiotemplatingmovement monitoringpiezoresistive sensorplant virus particlessustainabilitywearable electronics

Identifiers

PMID41869861
PMCPMC13587992

What Socratic holds

Textmetadata
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.