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.
Authors
- Mauri A. Kostiainen (ORCID: https://orcid.org/0000-0002-8282-2379)
- Kristiina Mäkinen (ORCID: https://orcid.org/0000-0001-8233-8942)
- Jani Sainio (ORCID: https://orcid.org/0000-0002-4435-0016)
- Maija Vaara (ORCID: https://orcid.org/0000-0003-0090-0351)
- Swarnalok De (ORCID: https://orcid.org/0000-0001-9705-9946)
- Sharon Saarinen
- Matteo Iannacchero (ORCID: https://orcid.org/0009-0003-5668-4544)
- Hossein Baniasadi
- Jaana Vapaavuori
- Viivi Mäkelä
- Fevzihan Basarir
Institutions
- University of Helsinki (FI)
- Aalto University (FI)
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
- 0.00