Laser-Induced Graphene-Based Smart Textiles for Wireless Cross-Body Metrics
Laser-Induced Graphene-Based Smart Textiles for Wireless Cross-Body Metrics
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DOI：
10.1021/acsanm.3c03582
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发表时间：
2023-10
影响因子：
5.9
通讯作者：
Huiting Qin;Amirhossein Hajiaghajani;A. Escobar;Amir Hosein Afandizadeh Zargari;Abel Jimenez;Fadi J. Kurdahi;Peter Tseng
中科院分区：
文献类型：
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作者：
Huiting Qin;Amirhossein Hajiaghajani;A. Escobar;Amir Hosein Afandizadeh Zargari;Abel Jimenez;Fadi J. Kurdahi;Peter Tseng
基于纺织品的传感器已经成为一种很有前途的技术，可以实现低负担、个性化和身体生物识别。然而，目前的纺织传感器通常缺乏多模式或多位置传感能力，难以大规模制造，并且不能无缝集成到纺织机载读出系统中。我们报告了用于多参数生物识别监测的纺织品集成，激光诱导石墨烯（LIG）传感器。LIG传感器设计具有针对不同刺激的定制模式──本文所示的应变、湿度和温度──并通过控制模式几何形状和LIG转换过程中使用的激光功率来显示可调的灵敏度。这些传感器对电阻变化高度敏感，对刺激反应迅速（<5 s），并且在至少1000个周期内表现出显著的稳定性。最后，这种传感器与磁性超材料一起合成，并与柔性近场通信系统直接在纺织品上无缝耦合。这使得完全集成的“智能”服装能够无电池，无线监测跨身指标。这样的协议代表了一种直接的，可访问的策略，将多个传感器和网络元件直接合并到按需纺织品中，用于先进的人体测量。
Textile-based sensors have emerged as a promising technology for enabling low-burden, personalized, and on-body biometrics. However, current textile sensors often lack multimodal or multipositional sensing capabilities, are challenging to fabricate at scale, and are not seamlessly integrated into textile-borne readout systems. We report textile-integrated, laser-induced graphene (LIG) sensors for multiparametric biometrics monitoring. The LIG sensors are designed with custom patterns specific to different stimuli─strain, humidity, and temperature demonstrated herein─and exhibit tunable sensitivity through control of the pattern geometry and the laser power used during LIG conversion. These sensors are highly sensitive to changes in resistance, rapidly respond to stimuli (<5 s), and exhibit remarkable stability for at least 1000 cycles. Lastly, such sensors are synthesized alongside magnetic metamaterials and are seamlessly coupled with flexible near-field communication systems directly on textile. This enables fully integrated “smart” clothing capable of battery-free, wireless monitoring of cross-body metrics. Such protocols represent a straightforward, accessible strategy for directly incorporating multiple sensor and network elements into on-demand textiles for advanced human body measurements.