Suppr超能文献

通过大气压等离子体聚合技术在室温下超快合成多孔聚噻吩及其在NO气体传感器中的应用

Ultrafast Room Temperature Synthesis of Porous Polythiophene via Atmospheric Pressure Plasma Polymerization Technique and Its Application to NO Gas Sensors.

作者信息

Park Choon-Sang, Kim Do Yeob, Jung Eun Young, Jang Hyo Jun, Bae Gyu Tae, Kim Jae Young, Shin Bhum Jae, Lee Hyung-Kun, Tae Heung-Sik

机构信息

Department of Electronics and Computer Engineering, College of Engineering, Kansas State University, Manhattan, NY 66506, USA.

ICT Creative Research Laboratory, Electronics & Telecommunications Research Institute, Daejeon 34129, Korea.

出版信息

Polymers (Basel). 2021 May 28;13(11):1783. doi: 10.3390/polym13111783.

Abstract

New nanostructured conducting porous polythiophene (PTh) films are directly deposited on substrates at room temperature (RT) by novel atmospheric pressure plasma jets (APPJs) polymerization technique. The proposed plasma polymerization synthesis technique can grow the PTh films with a very fast deposition rate of about 7.0 μm·min by improving the sufficient nucleation and fragment of the thiophene monomer. This study also compares pure and iodine (I)-doped PTh films to demonstrate the effects of I doping. To check the feasibility as a sensing material, NO-sensing properties of the I-doped PTh films-based gas sensors are also investigated. As a result, the proposed APPJs device can produce the high density, porous and ultra-fast polymer films, and polymers-based gas sensors have high sensitivity to NO at RT. Our approach enabled a series of processes from synthesis of sensing materials to fabrication of gas sensors to be carried out simultaneously.

摘要

新型纳米结构导电多孔聚噻吩(PTh)薄膜通过新型大气压等离子体射流(APPJs)聚合技术在室温(RT)下直接沉积在基板上。所提出的等离子体聚合合成技术通过改善噻吩单体的充分成核和碎片化,能够以约7.0μm·min的非常快的沉积速率生长PTh薄膜。本研究还比较了纯PTh薄膜和碘(I)掺杂的PTh薄膜,以证明I掺杂的效果。为了检验作为传感材料的可行性,还研究了基于I掺杂PTh薄膜的气体传感器对NO的传感特性。结果表明,所提出的APPJs装置能够制备出高密度、多孔且超快的聚合物薄膜,并且基于聚合物的气体传感器在室温下对NO具有高灵敏度。我们的方法能够同时进行从传感材料合成到气体传感器制造的一系列过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8d8/8197993/377b9121dfbb/polymers-13-01783-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验