Suppr超能文献

用于可刷新和柔性气体传感器的碳纳米管上的染料功能化溶胶-凝胶基质

Dye-functionalized Sol-gel Matrix on Carbon Nanotubes for Refreshable and Flexible Gas Sensors.

作者信息

Kim Jeongsu, Yoo Haneul, Pham Ba Viet Anh, Shin Narae, Hong Seunghun

机构信息

Department of Physics and Astronomy, and Institute of Applied Physics, Seoul National University, Seoul, 151-747, Republic of Korea.

出版信息

Sci Rep. 2018 Aug 10;8(1):11958. doi: 10.1038/s41598-018-30481-y.

Abstract

We report a colorimetric dye-functionalized sol-gel matrix on carbon nanotubes for use as a refreshable and flexible gas sensor with humidity calibration. Here, we fabricated gas sensors by functionalizing dye molecules on the top of carbon nanotube networks via a sol-gel method. Using hybrid gas sensors with different dye molecules, we could selectively detect various hazardous gases, such as NH, Cl and SO gases, via optical and electrical signals. The sensors exhibited rather large conductance changes of more than 50% following exposure to gas species with concentrations even under the permissible exposure limit. Significantly, we could refresh used gas sensors by simply exposing them to fresh N gas without any heat treatment. Additionally, our sensors can be bent to form versatile practical sensor devices, such as tube-shape sensors for ventilation tubes. This work shows a simple but powerful method for building refreshable and selective gas sensors for versatile industrial and academic applications.

摘要

我们报道了一种用于碳纳米管的比色染料功能化溶胶-凝胶基质,用作具有湿度校准功能的可刷新且灵活的气体传感器。在此,我们通过溶胶-凝胶法在碳纳米管网络顶部功能化染料分子来制造气体传感器。使用具有不同染料分子的混合气体传感器,我们能够通过光学和电信号选择性地检测各种有害气体,如NH、Cl和SO气体。即使在浓度低于允许暴露极限的情况下,传感器在暴露于气体种类后仍表现出超过50%的相当大的电导变化。值得注意的是,我们只需将用过的气体传感器暴露于新鲜的N气中而无需任何热处理,就可以使其恢复如新。此外,我们的传感器可以弯曲以形成多功能实用的传感器设备,例如用于通风管的管状传感器。这项工作展示了一种简单而强大的方法,用于构建适用于多种工业和学术应用的可刷新且选择性的气体传感器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7647/6086896/5cdd41cb4eb5/41598_2018_30481_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验