用于大范围高灵敏度应力检测的多模态传感智能皮肤系统。

IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Bocheng Wang, Boya Chang, Kerui Li, Qinghong Zhang, Yaogang Li, Hongzhi Wang, Kai Guo* and Chengyi Hou*, 
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引用次数: 0

摘要

在自然环境中,机械应力相互作用在强度上表现为多个数量级。传统的单机构机械传感器具有有限的动态检测范围,在以最佳灵敏度同时解决细微应力和高强度冲击方面存在基本限制。这种固有的限制要求开发协同多转导传感架构,结合摩擦电纳米发电机(TENG)、机械发光(ML)材料和压电材料,以实现具有广谱响应性的仿生智能皮肤系统。受人体皮肤机械感觉能力的启发,本研究通过结合摩擦电纳米发电机(TENG)和机械发光(ML)技术,介绍了一种能够进行大范围(0-130 MPa)和高灵敏度应力检测的多模态传感智能皮肤系统。在自供电模式下工作,系统可以在广泛的范围内进行精确的机械信号检测。表皮系统包含三种不同的感知模式,它们表现出协同反应和相互验证,在压力识别方面达到近100%的准确性。广泛的耐久性测试证实了该系统的坚固性,可以承受超过10,000次的冲击循环而不会出现结构退化。它的多用途性能在空间识别、警告检测和人机交互方面显示出巨大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Multimodal Sensing Smart Skin System for Wide-Range and High-Sensitivity Stress Detection

Multimodal Sensing Smart Skin System for Wide-Range and High-Sensitivity Stress Detection

In natural environments, mechanical stress interactions manifest across multiple orders of magnitude in intensity. Conventional single-mechanism mechanical sensors exhibit constrained dynamic detection ranges, presenting fundamental limitations in concurrently resolving both subtle stresses and high-intensity impacts with optimal sensitivity. This inherent constraint necessitates the development of synergistic multitransduction sensing architectures combining triboelectric nanogenerators (TENG), mechanoluminescent (ML) materials, and piezoelectric materials to achieve biomimetic smart skin systems with broad-spectrum responsiveness. Inspired by the mechanosensory capabilities of human skin, this work introduces a multimodal sensing smart skin system capable of wide-range (0–130 MPa) and high-sensitivity stress detection by combining triboelectric nanogenerator (TENG) and mechanoluminescence (ML) technologies. Operating in self-powered mode, the system enables precise mechanical signal detection across this broad spectrum. The epidermal system incorporates three distinct sensing modalities that exhibit synergistic responses and mutual validation, achieving near-100% accuracy in stress identification. Extensive durability testing confirms the system’s robustness, withstanding over 10,000 impact cycles without structural degradation. Its versatile performance demonstrates significant potential in spatial recognition, warning detection, and human–machine interaction.

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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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