Meng Xiancun, Sun Tao, Liu Linpeng, Zhang Changchao, Zhao Houqi, Wang Dakai, Zhang Junqiu, Niu Shichao, Han Zhiwu, Ren Luquan
Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China.
The State Key Laboratory of High Performance and Complex Manufacturing, College of Mechanical and Electrical Engineering, Central South University, Changsha 410012, China.
ACS Appl Mater Interfaces. 2022 Jun 29;14(25):29441-29450. doi: 10.1021/acsami.2c06703. Epub 2022 Jun 14.
Slit sensillum, a unique sensing organ on the scorpion's legs, is composed of several cracks with curved shapes. In fact, it is just its particular morphological distribution and structure that endows the scorpions with ultrasensitive sensing capacity. Here, a scorpion-inspired flexible strain sensor with an ordered concentric circular curved crack array (CCA) was designed and fabricated by using an optimized solvent-induced and template transfer combined method. The morphology of the cracks can be effectively controlled by the heating temperature and the lasting time. Instead of the nonuniform stress distribution induced by disordered cracks, ordered concentric circle curved structures are introduced to generate a uniform stress distribution and larger deformation, which can significantly improve the performance of the strain sensor. Thus, the CCA sensor exhibits ultrahigh sensitivity (GF ∼ 7878.6), excellent stability (over 16 000 cycles), and fast response time (110 ms). Furthermore, the CCA sensor was demonstrated to be feasible for monitoring human motions and detecting noncontact vibration signals, indicating its great potential in human-health monitoring and vibration signal detection applications.
裂隙感器是蝎子腿部一种独特的感觉器官，由几条呈弯曲形状的裂缝组成。实际上，正是其特殊的形态分布和结构赋予了蝎子超灵敏的传感能力。在此，通过使用优化的溶剂诱导和模板转移相结合的方法，设计并制造了一种具有有序同心圆弯曲裂缝阵列（CCA）的受蝎子启发的柔性应变传感器。裂缝的形态可以通过加热温度和持续时间有效地控制。引入有序的同心圆弯曲结构来产生均匀的应力分布和更大的变形，而不是由无序裂缝引起的应力分布不均匀，这可以显著提高应变传感器的性能。因此，CCA传感器具有超高灵敏度（GF ∼ 7878.6）、出色的稳定性（超过16000次循环）和快速响应时间（110毫秒）。此外，CCA传感器被证明可用于监测人体运动和检测非接触振动信号，表明其在人体健康监测和振动信号检测应用中具有巨大潜力。
