材料科学
电容感应
纳米技术
压力传感器
光电子学
电极
可穿戴计算机
灵敏度(控制系统)
微观结构
电介质
可穿戴技术
纳米传感器
计算机科学
图层(电子)
柔性电子器件
信号(编程语言)
波形
导电体
电子皮肤
数码产品
生物传感器
电阻抗
电子工程
作者
Jixing Xiong,Jie Yang,Jingyi Chen,Hongli Zhang,Hushen Luo,Jiaojiao Zheng,Jianhua Ma
标识
DOI:10.1021/acsapm.5c04773
摘要
High-performance capacitive pressure sensors are crucial for advancing wearable electronics and human-computer interaction, yet it remains challenging to simultaneously achieve high sensitivity and a broad linear working range. To overcome the inherent sensitivity-range trade-off in conventional designs, this work reports a confined evaporation strategy to fabricate the ionic dielectric layer featuring bioinspired microstructures for capacitive sensors. The dielectric layer mimics the surface morphology of Calathea zebrina leaves and spontaneously generates randomly distributed, pinecone-like microcones with a wide size distribution. Under external pressure, these microstructures demonstrate hierarchical deformation characteristics; smaller microcones activate preferentially under low pressure, while larger structures engage progressively with increasing load. This sequential engagement mechanism nonlinearly amplifies the effective contact area with electrodes. The expanded interfacial area synergizes with the electric double-layer effect from incorporated ionic liquid, substantially enhancing sensitivity, while the graded activation of different-sized microstructures enables an extended linear operating range. The flexible BC-MB electrode incorporates Ti3C2Tx MXene nanosheets with bacterial cellulose to form a conductive network, enhancing stability and sensitivity. The resulting capacitive sensor with flexible BC-MB electrodes achieves remarkable performance, ultrahigh sensitivity (692.30 kPa–1), wide linear response range, ultralow detection limit (0.53 Pa), fast response/recovery (61/32 ms), and excellent cycling stability (10,000 cycles). Meanwhile, this sensor demonstrates exceptional capability in capturing subtle physiological signals, including detailed arterial pulse waveforms for cardiovascular assessment, while enabling dual-mode human-computer interaction through Morse code gesture recognition and dynamic handwriting identification. Successful integration with wireless communication systems confirms its practical implementation potential in wearable health monitoring and interactive interfaces. This work establishes a scalable microstructure-engineering approach for high-performance capacitive sensors, effectively transcending conventional material-level constraints.
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