Multi‐Scenario Applications of Multi‐Dimensional Yarn‐Based Wearable Integrated Sensors

Abstract 1D yarn sensors, crucial for smart textiles, face challenges in achieving diverse functionalities, multiple applications, and durability in harsh environments. Herein, a simple strategy is proposed to prepare reduced graphene oxide‐polyimide yarns (rGO‐PYs), constructing functional and multi‐dimensional sensors for multi‐scenario applications. rGO‐PYs can detect multiple mechanical stimuli, and exhibit a broad bending and pressure response range (0°–180° and 0.12–62.39 KPa), quick response and recovery time (both <100 ms), and excellent cyclic stability. It features real‐time monitoring of human activities, such as joint movements, speech, writing, respiratory, pulse, and heart rate. rGO‐PYs exhibit a remarkable resilience to harsh environments, whether in liquid nitrogen (−196 °C), high temperature (300 °C), acid, or base. Crucially, expanded into an integrated 2D fabric, rGO‐PYs maintain their exceptional multi‐dimensional sensing. The point contact pressure sensor (PCPS) and pressure sensing array showed remarkable sensing performance in identifying pressure and its distribution. This work establishes a comprehensive system from preparation to application, encompassing 1D yarns large‐scale fabrication, functional sensing validation, integration into multi‐dimensional sensors, and diverse cross‐scenario applications. The innovative system would transform traditional yarns into intelligent fabrics, further advancing functional yarns into multi‐dimensional sensors (1D to 2D and 3D), enabling their diverse multi‐scenario applications.

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Publication Details

Journal
Advanced Functional Materials
Published
2024-11-04
DOI
https://doi.org/10.1002/adfm.202415044
Citations
5
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.92
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article

Multi‐Scenario Applications of Multi‐Dimensional Yarn‐Based Wearable Integrated Sensors

Zhaofa Zhang, Dongyang Zhang, Qiancheng Ma, Wei Tian
5 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
0.92
article

Multi‐Scenario Applications of Multi‐Dimensional Yarn‐Based Wearable Integrated Sensors

Zhaofa Zhang, Dongyang Zhang, Qiancheng Ma, Wei Tian
article en
5 citations

Abstract

Abstract 1D yarn sensors, crucial for smart textiles, face challenges in achieving diverse functionalities, multiple applications, and durability in harsh environments. Herein, a simple strategy is proposed to prepare reduced graphene oxide‐polyimide yarns (rGO‐PYs), constructing functional and multi‐dimensional sensors for multi‐scenario applications. rGO‐PYs can detect multiple mechanical stimuli, and exhibit a broad bending and pressure response range (0°–180° and 0.12–62.39 KPa), quick response and recovery time (both <100 ms), and excellent cyclic stability. It features real‐time monitoring of human activities, such as joint movements, speech, writing, respiratory, pulse, and heart rate. rGO‐PYs exhibit a remarkable resilience to harsh environments, whether in liquid nitrogen (−196 °C), high temperature (300 °C), acid, or base. Crucially, expanded into an integrated 2D fabric, rGO‐PYs maintain their exceptional multi‐dimensional sensing. The point contact pressure sensor (PCPS) and pressure sensing array showed remarkable sensing performance in identifying pressure and its distribution. This work establishes a comprehensive system from preparation to application, encompassing 1D yarns large‐scale fabrication, functional sensing validation, integration into multi‐dimensional sensors, and diverse cross‐scenario applications. The innovative system would transform traditional yarns into intelligent fabrics, further advancing functional yarns into multi‐dimensional sensors (1D to 2D and 3D), enabling their diverse multi‐scenario applications.

Advanced Functional MaterialsVol. 35(6)
Zhejiang Sci-Tech University (CN)
Openalex Percentile: Top 27%
Advanced Sensor and Energy Harvesting Materials
0.92
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Multi‐Scenario Applications of Multi‐Dimensional Yarn‐Based Wearable Integrated Sensors — Zhaofa Zhang, Dongyang Zhang, et al. · Advanced Functional Materials (2024) | TGRS Research Map | TGRS