材料科学
织物
智能材料
系统工程
纳米技术
工程类
复合材料
作者
Pengfei Zhao,Yilin Song,Zhipeng Hu,Zihan Zhong,Yi Li,Kui Zhou,Tingting Qin,Yan Yan,Hsiao‐Hsuan Hsu,Su‐Ting Han,Vellaisamy A. L. Roy,Chi‐Ching Kuo,Ye Zhou
出处
期刊:Nano Energy
[Elsevier]
日期:2024-08-15
卷期号:130: 110118-110118
被引量:1
标识
DOI:10.1016/j.nanoen.2024.110118
摘要
Artificial intelligence (AI) enabled electronic textiles inherit the advantages of traditional textiles, such as softness, flexibility, and wearable convenience, and demonstrate significant potential for wearable applications. However, the existence of metallic electrodes and polymer thin films sensitive/encapsulating layers in current textile- or fiber-based pressure sensors significantly reduces the unique advantages of textiles, particularly in terms of renewability and biodegradability. Here, an all-textile biodegradable AI enabled pressure sensor is demonstrated using tunable conductivity cotton as the electrode/sensitive layer, incorporating real-time deep learning-based data analysis. The metal electrode and polymer thin film widely adopted in smart textile-based pressure sensors are avoided, and the all-textile components allow the sensors to be freely cut and reassembled like Lego. Based on these Lego-like smart textiles, intelligence applications such as real-time health monitoring, game control, gait analysis, and authentication systems are demonstrated. After completing the functions, the whole device can be rapidly degraded in the cellulase solution and broken down into reducing sugars, thus effectively reducing the environmental pollution. This work provides a new strategy for creating renewable and sustainable textile pressure sensors with significant application potential in next-generation smart green electronics.
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