State Key Laboratory for Advanced Metals and Materials, School of Materials Science and Engineering, University of Science and Technology Beijing , Beijing 100083, China.
The Beijing Municipal Key Laboratory of New Energy Materials and Technologies, University of Science and Technology Beijing , Beijing 100083, China.
ACS Appl Mater Interfaces. 2017 Feb 1;9(4):4151-4158. doi: 10.1021/acsami.6b12991. Epub 2017 Jan 20.
Rapid advances in functional sensing electronics place tremendous demands on innovation toward creative uses of versatile advanced materials and effective designs of device structures. Here, we first report a feasible and effective fabrication strategy to integrate commercial abrasive papers with microcracked gold (Au) nanofilms to construct cuttable and self-waterproof crack-based resistive bending strain sensors. Via introducing surface microstructures, the sensitivities of the bending strain sensors are greatly enhanced by 27 times than that of the sensors without surface microstructures, putting forward an alternative suggestion for other flexible electronics to improve their performances. Besides, the bending strain sensors also endow rapid response and relaxation time of 20 ms and ultrahigh stability of >18 000 strain loading-unloading cycles in conjunction with flexibility and robustness. In addition, the concepts of cuttability and self-waterproofness (attain and even surpass IPX-7) of the bending strain sensors have been demonstrated. Because of the distinctive sensing properties, flexibility, cuttability, and self-waterproofness, the bending strain sensors are attractive and promising for wearable electronic devices and smart health monitoring system.
功能传感电子技术的快速发展对创新提出了巨大的要求，需要创造性地利用多功能先进材料和有效地设计器件结构。在这里，我们首次报道了一种可行且有效的制造策略，即将商用研磨砂纸与微裂纹金（Au）纳米薄膜集成，以构建可切割和自防水裂纹基电阻弯曲应变传感器。通过引入表面微观结构，弯曲应变传感器的灵敏度比没有表面微观结构的传感器提高了 27 倍，为其他柔性电子产品提高性能提供了另一种选择。此外，弯曲应变传感器还具有快速的响应和松弛时间（20 ms）以及超高的稳定性（超过 18000 次应变加载-卸载循环），同时具有灵活性和坚固性。此外，弯曲应变传感器的可切割性和自防水性（达到甚至超过 IPX-7）的概念已经得到了验证。由于独特的传感性能、灵活性、可切割性和自防水性，弯曲应变传感器在可穿戴电子设备和智能健康监测系统中具有吸引力和广阔的应用前景。
