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

项目名称：首席研究员(杜克大学)：Krishnendu Chakrabarty联席首席研究员(杜克大学)：Richard B.公平首席研究员(伦斯勒理工学院)：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整合到芯片设计中，该芯片设计将展示用于识别特定目标的生化分析序列。研究的重点是通过微滴形式的表面张力驱动各种生物和化学物质的高速流体和分子传输，以及随后通过阵列或决策树结构对这些物质的检测。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。正在开发技术，以将这些测试和相关的控制/决策机制映射到基于液滴的微流控体系结构上。该项目是杜克大学和伦斯勒理工学院共同参与的一项多学科合作项目。杜克大学的研究人员正在研究基于芯片生物化学分析的建模、优化和微流控技术。Rensselaer的研究人员正在为有限的一组目标分析研究酶分析和分析化学。拟议的研究结果预计将是一套可重构的、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一组检测标准，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系统的出现，在战斗人员和公民呼吸下一口气之前为他们提供早期预警能力。拟议的研究还可以促进卫生保健，例如通过能够提供有害病原体的快速检测和识别的实地诊所。最后，该项目是三个不同研究团体之间的重要桥梁：微流体学、电路设计和分析化学，并促进跨学科研究和合作。

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.