Detection of Distributed Static and Dynamic Loads with Electrolyte-Enabled Distributed Transducers in a Polymer-Based Microfluidic Device

在基于聚合物的微流体装置中使用电解质启用的分布式传感器检测分布式静态和动态负载

• 批准号: 1265785
• 负责人: Julie Zhili Hao
• 金额: $ 32.5万
• 依托单位: Old Dominion University Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-06-01 至 2018-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1265785&HistoricalAwards=false
• 关键词: Detection; Distributed; Static; Dynamic; Loads

This objective of this award is to develop a fundamental understanding of the performance of a polymer-based microfluidic device with Electrolyte-Enabled Distributed Transducers (EEDTs) that can detect distributed loads. The novelty of this EEDT device lies in its configuration, a single deformable polymer microstructure integrated with EEDTs, which can be built with great simplicity and allows the distributed-load detection using one single device. A standard polymer-based micro-fabrication process will be employed to ensure its disposability and affordability. The technical approach includes 1) experimental investigation of the device performance as a function of its geometry and electrolyte properties; 2) development of a theoretical framework for quantification of the device performance; 3) its optimization for ultra-high spatial resolution and ultra-high load resolution; and 4) its adaptation for biomaterial and biological tissue investigations. The results of this research will enable the development of miniaturized distributed-load sensors for biomedical, surgical, robotics, and manufacturing applications. Disposable, affordable, high-performance EEDT devices will revolutionize the intelligent systems and instruments, manufacturing equipment, and robots that rely on the functionality of distributed-load detection. Consequently, systems incorporating EEDT devices will be used to diagnose diseases at early stages, improve surgical outcomes, shorten development time, increase the manufacturing quality of viscoelastic materials and biomaterials, allow industrial automation, and save lives by enabling robotic operations in hazardous environments.

该奖项的目标是开发一个基于聚合物的微流体装置的性能的基本理解，该装置具有电解质启用分布式换能器（EEDTs），可以检测分布式负载。这种EEDT装置的新颖之处在于它的结构，一个单一的可变形聚合物微观结构与EEDT集成在一起，可以非常简单地构建，并且允许使用单个设备进行分布式负载检测。将采用标准的基于聚合物的微加工工艺，以确保其一次性和可负担性。技术方法包括：1)实验研究器件性能作为其几何形状和电解质特性的函数；2)建立量化器件性能的理论框架；3)超高空间分辨率和超高负载分辨率的优化；4)对生物材料和生物组织研究的适应性。这项研究的结果将使生物医学、外科、机器人和制造业应用的小型化分布式负载传感器的发展成为可能。一次性、经济实惠、高性能的EEDT设备将彻底改变依赖分布式负载检测功能的智能系统和仪器、制造设备和机器人。因此，结合EEDT设备的系统将用于早期诊断疾病，改善手术结果，缩短开发时间，提高粘弹性材料和生物材料的制造质量，实现工业自动化，并通过在危险环境中实现机器人操作来挽救生命。