Passive Chips-in-Yarn Integration for On-Fabric Batteryless Identification and Sensing

Rusong Yang , Yulong Liu , Fangli Chen , Liekun Yang , Terry Tao Ye , Lulu Xu

Advanced Fiber Materials ›› : 1 -15.

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Advanced Fiber Materials ›› :1 -15. DOI: 10.1007/s42765-026-00765-4
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Passive Chips-in-Yarn Integration for On-Fabric Batteryless Identification and Sensing
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Abstract

Smart clothing has the potential to monitor the body continuously, but most current systems still rely on rigid electronic modules, batteries, and wired connections. These components reduce flexibility, comfort, washability, and long-term usability. Here, we report a passive chips-in-yarn strategy for creating battery-free electronic yarns that can be integrated directly into fabrics. In this approach, radio frequency identification (RFID) chips are embedded inside yarn structures, allowing the yarns to be wirelessly powered and read by an external RFID reader without onboard batteries. The RFID chip is connected to conductive filaments that act as yarn-shaped antennas, while local encapsulation and a braided sheath protect the chip–filament junction during textile manufacturing and use. By engineering different antenna geometries, RFID yarns enable multiple functions: ID-only yarns for garment life-cycle identification, deformation-sensitive yarns for passive movement monitoring through wireless signal changes, and temperature-sensing yarns for distributed on-body thermal mapping. The resulting RFID yarns showed mechanical robustness, wash durability, and compatibility with textile weaving integration. With multiple chip-enabled yarns embedded into garments, this work demonstrates a fabric-scale sensing network that is lightweight, battery-free, and maintenance-free. This work advances smart textiles from module-attached wearable devices toward textile-native sensing systems, where passive electronic functions are embedded directly within the yarn structure.

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Smart yarn / Radio frequency identification / Wireless sensing / Fiber-based electronics / Smart textiles / Wearable electronics

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Rusong Yang, Yulong Liu, Fangli Chen, Liekun Yang, Terry Tao Ye, Lulu Xu. Passive Chips-in-Yarn Integration for On-Fabric Batteryless Identification and Sensing. Advanced Fiber Materials 1-15 DOI:10.1007/s42765-026-00765-4

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Funding

National Natural Science Foundation of China(62471209)

Royal Society Research Grants 2024 Round 2(RGS\R2\242174)

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