Bio‐templated Piezoresistive Yarn for High Sensitivity Movement Monitoring Textiles

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.

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Publication Details

Journal
Advanced Science
Published
2026-03-23
DOI
https://doi.org/10.1002/advs.202524247
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
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article

Bio‐templated Piezoresistive Yarn for High Sensitivity Movement Monitoring Textiles

Mauri A. Kostiainen, Kristiina Mäkinen, Jani Sainio, Maija Vaara et al.
Advanced Science
Advanced Sensor and Energy Harvesting Materials
article

Bio‐templated Piezoresistive Yarn for High Sensitivity Movement Monitoring Textiles

Mauri A. Kostiainen, Kristiina Mäkinen, Jani Sainio, Maija Vaara, Swarnalok De, Sharon Saarinen, Matteo Iannacchero, Hossein Baniasadi, Jaana Vapaavuori, Viivi Mäkelä, Fevzihan Basarir
article en

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.

Advanced Science
University of Helsinki (FI), Aalto University (FI)
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Advanced Sensor and Energy Harvesting Materials
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