Collaborative Research: Novel Microscale Resonant Sensors for Chemical and Biological Detection

合作研究：用于化学和生物检测的新型微型谐振传感器

基本信息

批准号：
0758419
负责人：
Steven Shaw
金额：
$ 18.6万
依托单位：
Michigan State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2008
资助国家：
美国
起止时间：
2008-09-01 至 2012-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0758419&HistoricalAwards=false
关键词：
Collaborative Research Novel Microscale Resonant

项目摘要

The proposed research is aimed at advancing resonant microelectromechancal (MEMS) mass sensors such as those used for detecting specific chemical or biological agents. Two investigative themes are proposed: (1) mass sensors utilizing array-type detection single-input-single-output device configurations which is simpler than existing array-based approaches and would allow designer to minimize on-chip electronics, and (2) mass detection using parametrically resonance sensors. Methods will be developed for assessing sensor metrics for performance comparison with traditional resonance-based mass sensors. Nano scaled material modeling and assembly for synthesis and performance enhancement will be investigated. The development and simple single-input-simple-output design would allow minimization of on-chip electronics and enable packaging of the resonators in vacuum and enhancement of overall system performance and sensitivity.This collaborative multi-disciplinary research between a theorist and experimentalist will advance the graduate education programs across the departmental and institutional boundaries, and address outreach at the junior high and high school levels through art, the internet, and interactive activities, all of which are enhanced by computational components.

拟议的研究旨在推进共鸣的微电脑学（MEMS）质量传感器，例如用于检测特定化学物质或生物学剂的质量传感器。提出了两个研究主题：（1）利用阵列类型检测单输入单输出设备配置的质量传感器，该配置比现有基于阵列的方法更简单，并允许设计人员使用参数共振传感器最小化芯片电子设备，以及（2）质量检测。将开发用于评估传感器指标的方法，以与传统的基于共振的质量传感器进行性能比较。将研究纳米缩放的材料建模和用于合成和性能增强的组装。开发和简单的单输入简化超出设计的设计将允许最大程度地减少片上电子设备，并能够在真空中包装谐振器，并增强整体系统的性能和敏感性。这项理论家和实验主义者之间的协作多学科研究将通过互联网跨度的互联网活动来推进，并在互联网上跨越高级的互联网，并在高处进行，并在高处，以及高度的高级范围内，以及高度的高级活动，并将其中的计算组件增强了。