ITR: Collaborative Research: Reconfigurable Architectures for Bio-Molecular Detection: Modeling, Experimentation, and Optimization

ITR：协作研究：生物分子检测的可重构架构：建模、实验和优化

• 批准号: 0312503
• 负责人: Julie Stenken
• 金额: --
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-15 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0312503&HistoricalAwards=false
• 关键词: ITR; Collaborative; Research; Reconfigurable; Architectures

Project Title: Principal Investigator (Duke University): Krishnendu ChakrabartyCo-Principal Investigator (Duke University): Richard B. FairPrincipal Investigator (Rensselaer Polytechnic Institute): Julie StenkenAbstract:The scope of this project includes the high-level modeling of biosensors and detectors, laboratory experiments on bio-molecular detection, and optimization techniques for system design. An optimized, system-level architecture is being incorporated into a chip design that will demonstrate a bio-chemical assay sequence to identify a specific target. Research is focused on high-speed fluidic and molecular transport of a variety of biological and chemical substances by surface-tension actuation in the form of micro-droplets, as well as subsequent detection of these substances through array or decision-tree architectures. A series of simple tests are being devised to rapidly narrow the set of possible bio-chemical agents. Techniques are being developed to map these tests and the associated control/decision mechanism on a droplet-based microfluidic architecture. The project is planned as a collaborative, multi-disciplinary effort involving Duke University and Rensselaer Polytechnic Institute. Researchers at Duke University are investigating modeling, optimization, and microfludics-based on-chip bio-chemical assays. Researchers at Rensselaer are studying enzymatic assays and assay chemistry for a limited set of target analytes.The outcome of the proposed research is expected to be a set of reconfigurable, droplet-based biomolecular detection microsystem architectures with bio-molecular detection sites and a collection of detection criteria allowing a decision flow path to be programmed into the system by a set of decision rules. Advances in system design will lead to the availability of inexpensive microsystems that offer an early warning capability to combatants and citizens alike, before they take their next breath. The proposed research can also contribute to heath care, e.g., through field clinics that can provide rapid detection and identification of harmful pathogens. Finally, this project serves as an important bridge between three different research communities: microfluidics, circuit design, and analytical chemistry, and it fosters interdisciplinary research and collaboration.

项目名称：主要研究者（杜克大学）：Krishnendu Chakrabarty共同主要研究者（杜克大学）：Richard B。FairPrincipal Investigator（Rensselaer Polytechnic Institute）：Julie Stenken摘要：该项目的范围包括生物传感器和检测器的高级建模，生物分子检测的实验室实验以及系统设计的优化技术。一种优化的系统级架构正在被纳入芯片设计中，该芯片设计将展示用于识别特定目标的生化检测序列。研究重点是通过微滴形式的表面张力驱动对各种生物和化学物质进行高速流体和分子运输，以及随后通过阵列或决策树架构对这些物质进行检测。目前正在设计一系列简单的测试，以迅速缩小可能的生化制剂的范围。正在开发的技术映射这些测试和相关的控制/决策机制的液滴为基础的微流体架构。该项目计划作为一个合作，多学科的努力，涉及杜克大学和伦斯勒理工学院。杜克大学的研究人员正在研究建模、优化和基于微流控的芯片生化分析。Rensselaer的研究人员正在研究有限的目标分析物的酶测定和测定化学，拟议研究的结果预计将是一组可重构的，基于液滴的生物分子检测微系统架构，具有生物分子检测位点和检测标准的集合，允许通过一组决策规则将决策流程编程到系统中。系统设计的进步将导致廉价的微型系统的出现，这些系统在战斗人员和公民呼吸之前为他们提供预警能力。拟议的研究也可以有助于保健，例如，通过能够快速检测和识别有害病原体的实地诊所。最后，该项目是三个不同研究领域之间的重要桥梁：微流体，电路设计和分析化学，它促进了跨学科的研究和合作。