Li Yan, Zhang Zongzheng, Du Songlin, Zong Sicheng, Ning Zijun, Yang Fuling
School of Mechanical and Electrical Engineering, China University of Mining and Technology─Beijing, Beijing 100083, China.
ACS Sens. 2024 Jun 28;9(6):3057-3065. doi: 10.1021/acssensors.4c00245. Epub 2024 May 29.
High-sensitivity sensors in practical applications face the issue of environmental noise interference, requiring additional noise reduction circuits or filtering algorithms to improve the signal-to-noise ratio (SNR). To address this issue, this study proposes a biomimetic crack pressure sensor with selective frequency response based on hydrogel dampers. The core of this research is to construct a biomimetic crack pressure sensor with selective frequency response using the high-pass filtering characteristics of gelatin-chitosan hydrogels. This design, inspired by the slit sensilla and stratum corneum structure of spider legs, delves into the material properties and principles of hydrogel dampers, exploring their application in biomimetic crack pressure sensors, including parameter selection, structural design, and performance optimization. By delving into the nuanced characteristics and working principles of hydrogel dampers, their integration in biomimetic crack pressure sensors is examined, focusing on aspects like parameter selection, structural engineering, and performance enhancement to selectively sieve out low-frequency noise and transmit target vibrational signals. Experimental results demonstrate that this innovative sensor, while suppressing low-frequency vibration signals, can selectively detect high-frequency signals with high sensitivity. At different vibration frequencies, the relative change in resistance exceeds 200%, and the sensor sensitivity is 7 × 10 kPa. Furthermore, this sensor was applied to human voice detection, and the corresponding results verified its frequency-selective performance evidently. This study not only proposes a new design for pressure sensors but also offers fresh insights into the application of biomimetic crack pressure sensors in intricate environments.
实际应用中的高灵敏度传感器面临环境噪声干扰问题，需要额外的降噪电路或滤波算法来提高信噪比（SNR）。为了解决这个问题，本研究提出了一种基于水凝胶阻尼器的具有选择性频率响应的仿生裂纹压力传感器。本研究的核心是利用明胶-壳聚糖水凝胶的高通滤波特性构建具有选择性频率响应的仿生裂纹压力传感器。这种设计灵感来自蜘蛛腿的狭缝感受器和角质层结构，深入研究了水凝胶阻尼器的材料特性和原理，探索其在仿生裂纹压力传感器中的应用，包括参数选择、结构设计和性能优化。通过深入研究水凝胶阻尼器的细微特性和工作原理，研究了它们在仿生裂纹压力传感器中的集成，重点关注参数选择、结构工程和性能增强等方面，以选择性地滤除低频噪声并传输目标振动信号。实验结果表明，这种创新型传感器在抑制低频振动信号的同时，能够高灵敏度地选择性检测高频信号。在不同振动频率下，电阻相对变化超过200%，传感器灵敏度为7×10 kPa。此外，该传感器应用于人体语音检测，相应结果明显验证了其频率选择性性能。本研究不仅提出了压力传感器的新设计，还为仿生裂纹压力传感器在复杂环境中的应用提供了新的见解。
