Department of Electronic and Information Materials Engineering, Division of Advanced Materials Engineering, and Research Center of Advanced Materials Development, Jeonbuk National University, Jeonju 54896, South Korea.
Mechanical Engineering and Materials Science, Washington University in Saint Louis, MO 63130, USA.
Mater Horiz. 2022 Oct 31;9(11):2846-2853. doi: 10.1039/d2mh00692h.
We successfully develop a self-powered image array (IA) composed of 16 touch-free sensors (TFSs) fabricated with semiconductor InN nanowires (NWs) as a response medium. Without using a power supply, the InN-NW TFS can detect the position of a human hand 30 cm away from the device surface. It also distinguishes different materials such as polyimide, Al foil, printing paper, latex, and polyvinyl chloride in non-contact mode at a distance of 1 cm. The self-powered TFS-IA clearly distinguishes square-shaped transparent polydimethylsiloxane film attached to the back of a human hand positioned 5 cm from the device, indicating the possibility for detecting changes in the surface texture of human skin, such as skin burns or skin cancer. The performance of the self-powered TFS and TFS-IA is attributed to high electrostatic induction of InN NWs by external triboelectricity resulting from the simple movement of the target object, which differs markedly from conventional sensors designed to detect variations in the temperature or light essentially using a power supply.
我们成功开发了一种由 16 个无接触传感器 (TFS) 组成的自供电图像阵列 (IA),这些传感器由半导体 InN 纳米线 (NW) 制成,作为响应介质。无需使用电源,InN-NW TFS 即可检测到距离器件表面 30 厘米处人手的位置。它还可以在 1 厘米的距离以非接触模式区分聚酰亚胺、铝箔、打印纸、乳胶和聚氯乙烯等不同材料。自供电 TFS-IA 可以清晰地区分附着在距器件 5 厘米处人手背面的方形透明聚二甲基硅氧烷薄膜,表明有可能检测到人体皮肤表面纹理的变化,如皮肤烧伤或皮肤癌。自供电 TFS 和 TFS-IA 的性能归因于外部摩擦电通过目标物体的简单运动对 InN NWs 产生的高静电感应,这与传统传感器明显不同,传统传感器主要依靠电源来检测温度或光的变化。