Graphene-based Ultrasensitive Nanostructures

基于石墨烯的超灵敏纳米结构

基本信息

批准号：
1069076
负责人：
Teng Li
金额：
$ 24.83万
依托单位：
University of Maryland, College Park
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2011
资助国家：
美国
起止时间：
2011-02-15 至 2015-01-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1069076&HistoricalAwards=false
关键词：
Graphene based Ultrasensitive Nanostructures

项目摘要

The research objective of this grant is to decipher the underpinning science of graphene's morphologic instabilities under various external stimuli, and explore novel concepts to push the limits of graphene-based nanostructures of high sensitivity for graphene-based sensing. Graphene consists of carbon atoms densely patterned in a honeycomb lattice. Graphene's two dimensional structure exposes its entire volume to its surrounding with well amenable surface chemistry, making it a highly efficient and promising candidate material for sensing. However, graphene-based sensing up to single molecule level often accompanies ultra small amplitude of indicators of change, posing significant challenge to the success of graphene-based sensing. Recent research revealed graphene's morphologic instability, which can lead to a sharp change in graphene properties, thus substantially increase the amplitude of indicator of external stimuli.By deciphering the fundamental science of graphene-based ultrasensitive nanostructures under various external stimuli and interferences, this research will offer new inroads towards a wide range of exciting sensing applications. The strongest material ever demonstrated, graphene enables mechanically robust nanostructures, allowing unattended sensing/actuation under repeated external stimuli over long term. The widespread use of graphene-based sensing will make significant impacts on health monitoring of civil, mechanical and manufacturing. On the educational front, this project will leverage cyberinfrastructures to significantly broaden the impact of the research and educational activities.

这项赠款的研究目标是在各种外部刺激下破译石墨烯形态不稳定性的基础科学，并探索新颖的概念，以推动基于石墨烯基于石墨烯的感应的高灵敏度的基于石墨烯的纳米结构的极限。石墨烯由在蜂窝晶格中密集的碳原子组成。石墨烯的二维结构将其整个体积暴露于周围的表面化学反应，使其成为一种高效且有希望的候选材料。但是，基于石墨烯的传感达到单分子水平通常伴随着变化指标的超小幅度，对基于石墨烯的感应的成功构成了重大挑战。最近的研究揭示了石墨烯的形态不稳定性，这可能导致石墨烯特性发生急剧变化，从而大大增加了外部刺激指标的振幅。通过解密基于石墨烯的基于石墨烯的超敏感性的基本科学在各种外部刺激和干扰下，向广泛的激动人心的感应应用提供新的侵害。石墨烯是有史以来最强大的材料，使机械稳健的纳米结构可在长期重复的外部刺激下进行无人值守的感应/驱动。基于石墨烯的传感的广泛使用将对民用，机械和制造业的健康监测产生重大影响。在教育方面，该项目将利用网络基础设施来显着扩大研究和教育活动的影响。