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一种用于糖尿病相关丙酮检测的具有三维仿生模板的柔性超灵敏化学传感器。

A flexible, ultra-sensitive chemical sensor with 3D biomimetic templating for diabetes-related acetone detection.

作者信息

Wang Lili, Jackman Joshua A, Park Jae Hyeon, Tan Ee-Lin, Cho Nam-Joon

机构信息

School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798 Singapore, Singapore.

出版信息

J Mater Chem B. 2017 Jun 14;5(22):4019-4024. doi: 10.1039/c7tb00787f. Epub 2017 May 19.

DOI:10.1039/c7tb00787f
PMID:32264133
Abstract

The structural features of biological organisms have evolved through natural selection to provide highly tailored functions, inspiring numerous biomimetic and biological design strategies. A wide scope of untapped potential lies in harnessing the nanoscale architectural properties of natural biological materials to develop high-performance sensors. Herein, we report the development of an ultrasensitive chemical sensor that is based on the three-dimensional (3D) biomimetic templating of a structurally hierarchical butterfly wing. In conjunction with graphene sheet coating strategies, the porous 3D architecture enables highly selective detection of diabetes-related volatile organic compounds (VOCs), including a rapid response time (≤1 s), a low limit of detection (20 ppb), and superior mechanical properties. Taken together, the findings in this work demonstrate the promise of incorporating natural biological materials into high-performance sensors, with excellent potential for wearable and flexible sensors.

摘要

生物有机体的结构特征通过自然选择不断进化,以提供高度定制化的功能,这启发了众多仿生和生物设计策略。利用天然生物材料的纳米级结构特性来开发高性能传感器,存在着广泛的未开发潜力。在此,我们报告了一种超灵敏化学传感器的开发,该传感器基于具有结构层次的蝴蝶翅膀的三维(3D)仿生模板。结合石墨烯片涂层策略,这种多孔3D结构能够对与糖尿病相关的挥发性有机化合物(VOCs)进行高选择性检测,包括快速响应时间(≤1秒)、低检测限(20 ppb)以及优异的机械性能。综上所述,这项工作的研究结果证明了将天然生物材料纳入高性能传感器的前景,在可穿戴和柔性传感器方面具有巨大潜力。

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