Jiangsu Provincial Key Laboratory of Advanced Robotics, Soochow University, Suzhou, 215123, P. R. China.
Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, 130022, P. R. China.
Adv Sci (Weinh). 2024 Nov;11(41):e2405544. doi: 10.1002/advs.202405544. Epub 2024 Sep 11.
Numerous plants evolve ingeniously microcantilever-based hairs to ultra-sensitively detect out-of-plane quasi-static tactile loads, providing a natural blueprint for upgrading the industrial static mode microcantilever sensors, but how do the biological sensory hairs work mechanically? Here, the action potential-producing trigger hairs of carnivorous Venus flytraps (Dionaea muscipula) are investigated in detail from biomechanical perspective. Under tiny mechanical stimulation, the deformable trigger hair, composed of distal stiff lever and proximal flexible podium, will lead to rapid trap closure and prey capture. The multiple features determining the sensitivity such as conical morphology, multi-scale functional structures, kidney-shaped sensory cells, and combined deformation under tiny mechanical stimulation are comprehensively researched. Based on materials mechanics, finite element simulation, and bio-inspired original artificial sensors, it is verified that the omnidirectional ultra-sensitivity of trigger hair is attributed to the stiff-flexible coupling of material, the double stress concentration, the circular distribution of sensory cells, and the positive local buckling. Also, the balance strategy of slender hair between sensitivity and structural stability (i.e., avoiding disastrous collapse) is detailed revealed. The unique basic biomechanical mechanism underlying trigger hairs is essential for significantly enhancing the performance of the traditional industrial static mode microcantilever sensors, and ensure the stability of arbitrary load perception.
许多植物巧妙地进化出基于微悬臂梁的毛发,以超灵敏地检测面外准静态触觉负载,为升级工业静态模式微悬臂梁传感器提供了自然蓝图,但生物感觉毛发的机械工作原理是什么?在这里,从生物力学的角度详细研究了肉食性维纳斯捕蝇草(Dionaea muscipula)产生动作电位的触发毛。在微小的机械刺激下,由远端刚性杠杆和近端柔性基座组成的可变形触发毛会导致快速的陷阱闭合和猎物捕获。综合研究了决定灵敏度的多个特征,如锥形形态、多尺度功能结构、肾形感觉细胞以及微小机械刺激下的组合变形。基于材料力学、有限元模拟和仿生原始人工传感器,验证了触发毛的全方位超灵敏度归因于材料的刚柔耦合、双重应力集中、感觉细胞的圆形分布以及正向局部屈曲。此外,还详细揭示了细长毛发在灵敏度和结构稳定性(即避免灾难性崩溃)之间的平衡策略。触发毛发的独特基本生物力学机制对于显著提高传统工业静态模式微悬臂梁传感器的性能以及确保任意负载感知的稳定性至关重要。