Suppr超能文献

静电纺丝后多壁碳纳米管自组装形成的小叶状异质结构。

Leaflet-heterostructures by MWCNT self-assembly following electrospinning.

作者信息

Texter John, Li Qi, Yan Feng

机构信息

Strider Research Corporation, Rochester, NY 14610-2246, USA.

Coating Research Institute, School of Engineering, Eastern Michigan University, Ypsilanti, MI 48197, USA.

出版信息

iScience. 2024 Jun 6;27(7):110186. doi: 10.1016/j.isci.2024.110186. eCollection 2024 Jul 19.

Abstract

Electrospinning of nanocarbons such as graphene and carbon nanotubes typically produces mats composed of one-dimensional fibers where the carrier polymer encapsulates the nanocarbons. Recently it was found that decreasing the amount of carrier polymer in approaching the electrospinning-electrospray boundary for graphene suspensions resulted in retention of the graphene two-dimensional anisotropy with one-dimensional carrier polymer fibers connecting flakes. We explored a similar decrease in carrier polymer in MWCNT suspensions to investigate the network topology that might ensue. Unexpectedly, two-dimensional leaflet meso-networks were obtained wherein the leaflets comprise laterally aligned MWCNTs one to several nanotubes thick. A mechanism based on capillary force-driven MWCNT self-assembly activated by menisci formed during drying of electrospun fibers is presented. Such materials offer new approaches to producing high surface-area coatings for catalytic and energy applications and suggest ways of formulating two-dimensional MWCNT assemblies in metal foams and other open-cell porous materials.

摘要

对诸如石墨烯和碳纳米管等纳米碳进行静电纺丝,通常会产生由一维纤维组成的毡垫,其中载体聚合物包裹着纳米碳。最近发现,在接近石墨烯悬浮液的静电纺丝-电喷雾边界时减少载体聚合物的量,会使石墨烯的二维各向异性得以保留,同时一维载体聚合物纤维连接着薄片。我们在多壁碳纳米管悬浮液中探索了类似的载体聚合物减少情况,以研究可能形成的网络拓扑结构。出乎意料的是,得到了二维小叶介观网络,其中小叶由横向排列的、厚度为一到几根纳米管的多壁碳纳米管组成。本文提出了一种基于毛细管力驱动的多壁碳纳米管自组装机制,该机制由静电纺纤维干燥过程中形成的弯月面激活。这类材料为生产用于催化和能源应用的高表面积涂层提供了新方法,并为在金属泡沫和其他开孔多孔材料中制备二维多壁碳纳米管组件指明了方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cda/11253149/767e27a4103c/fx1.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