Ultralow voltage operation and microwatt power consumption MXene based pressure sensors with excellent sensing performance

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Jiangtao Chen, Yarong Zhou, Tiancheng Song, Xinyi Wang, Ting Wang, Yun Zhao, Bingjun Yang, Jianbiao Chen, Yi Zhang, Yan Li
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Abstract

Nowadays, smart flexible and wearable electronic devices are experiencing rapid development. As one of core components, flexible pressure sensor has attracted more attentions. High sensitivity, broad detection range and fast response of the pressure sensor with a low power consumption are urgently needed for various practical scenes but it remains a great challenge to simultaneously achieve these merits. Herein, a periodical structured MXene/PDMS composite is explored to construct high performance flexible piezoresistive sensor. The developed sensor has ultrahigh sensitivity (70.6 kPa⁻¹), fast response (18 ms), broad detection range (up to 436 kPa) as well as outstanding long-term stability (9700 cycles). More significantly, the sensor shows a low operation voltage (0.01 V) and low power consumption (Max. 120 μW), which successfully powered by a thermoelectric generator using tiny temperature difference between human skin and environment. We have also combined the sensor with an artificial neural network model and realized a high accuracy recognition (97%) to the Morse code. The results indicate that periodical structured MXene/PDMS sensors hold a great potential in practical applications such as human motion monitoring, robotic control and encrypted communication. Also, this work opens a new way toward highly sensitive, broad-range-response, and multifunctional self-powered energy-saving wearable electronics.
超低电压运行、微瓦特功耗、传感性能卓越的基于 MXene 的压力传感器
如今,智能、柔性和可穿戴电子设备正经历着快速的发展。柔性压力传感器作为核心部件之一,越来越受到人们的关注。各种实际场景迫切需要高灵敏度、宽检测范围和快速响应、低功耗的压力传感器,但同时实现这些优点仍然是一个很大的挑战。本文探索了一种周期性结构的MXene/PDMS复合材料来构建高性能柔性压阻传感器。开发的传感器具有超高灵敏度(70.6 kPa - 1),快速响应(18 ms),宽检测范围(高达436 kPa)以及出色的长期稳定性(9700次循环)。更重要的是,该传感器具有低工作电压(0.01 V)和低功耗(最大120 μW)的特点,成功地利用人体皮肤和环境之间微小的温差为热电发电机供电。我们还将传感器与人工神经网络模型相结合,实现了对摩尔斯电码的高精度识别(97%)。结果表明,周期性结构化MXene/PDMS传感器在人体运动监测、机器人控制和加密通信等实际应用中具有很大的潜力。此外,这项工作为高灵敏度,宽范围响应和多功能自供电节能可穿戴电子产品开辟了一条新途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Materials Chemistry A
Journal of Materials Chemistry A CHEMISTRY, PHYSICAL-ENERGY & FUELS
CiteScore
19.50
自引率
5.00%
发文量
1892
审稿时长
1.5 months
期刊介绍: The Journal of Materials Chemistry A, B & C covers a wide range of high-quality studies in the field of materials chemistry, with each section focusing on specific applications of the materials studied. Journal of Materials Chemistry A emphasizes applications in energy and sustainability, including topics such as artificial photosynthesis, batteries, and fuel cells. Journal of Materials Chemistry B focuses on applications in biology and medicine, while Journal of Materials Chemistry C covers applications in optical, magnetic, and electronic devices. Example topic areas within the scope of Journal of Materials Chemistry A include catalysis, green/sustainable materials, sensors, and water treatment, among others.
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