CRI: IAD: A Digital Microfluidic Testbed for Combinatorial Biosynthesis and Screening

CRI：IAD：用于组合生物合成和筛选的数字微流体测试平台

• 批准号: 0709099
• 负责人: Jonathan Dordick
• 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: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0709099&HistoricalAwards=false
• 关键词: CRI; IAD; Digital; Microfluidic; Testbed

Low-cost, portable lab-on-a-chip systems capable of rapid automated biochemical analysis can impact a wide variety of applications including genetic analysis (medical diagnostics, newborn screening, DNA fingerprinting), biological research (genomics, proteomics, glycomics, drug discovery), in vitro biomolecule production (e.g., heparin), and biochemical sensing (pathogen detection, air and water monitoring, chemical explosives detection). There is an emerging opportunity in developing algorithms and computational tools for the design, simulation, and performance evaluation of digital microfluidics systems (DMFS), a paradigm changing class of lab-on-a-chip systems that manipulate discrete droplets. The proposed research will develop specialized routing and scheduling algorithms for the coordination of droplets on a DMFS. The team will develop general principles for designing scalable grid layouts and coordinating droplets that work across different hardware implementations. The algorithms will enable robust and user friendly operation of digital microfluidics systems, offering end users tremendous flexibility and the ability to exercise unprecedented spatial and temporal control over reactions. This research will enable reconfigurable lab-on-a-chip systems for use in a wide variety of applications including biohazard detection, clinical diagnostics, and environmental monitoring. It can potentially lead to more effective ways of synthesizing heparin, a therapeutically important compound, and point-of-care newborn screening. The proposed research will involve graduate students in research, and will be integrated into graduate courses taught by the PIs. Outreach activities include after-school Lego robotics activities and summer robotics camps for middle school students in collaboration with RPI's Center for Initiatives in Pre-College Education.

能够进行快速自动化生化分析的低成本便携式芯片实验室系统可以影响多种应用，包括遗传分析（医学诊断、新生儿筛查、DNA 指纹识别）、生物研究（基因组学、蛋白质组学、糖组学、药物组学）发现）、体外生物分子生产（例如肝素）和生化传感（病原体检测、空气和水监测、化学爆炸物检测）。在开发用于数字微流体系统 (DMFS) 的设计、模拟和性能评估的算法和计算工具方面存在着一个新兴机会，DMFS 是一种操纵离散液滴的芯片实验室系统的范式改变类。 拟议的研究将开发专门的路由和调度算法来协调 DMFS 上的液滴。该团队将制定设计可扩展网格布局和协调跨不同硬件实现的液滴的一般原则。这些算法将使数字微流体系统实现稳健且用户友好的操作，为最终用户提供巨大的灵活性以及对反应进行前所未有的空间和时间控制的能力。 这项研究将使可重构的片上实验室系统能够用于多种应用，包括生物危害检测、临床诊断和环境监测。它可能会带来更有效的方法来合成肝素（一种治疗上重要的化合物）和床旁新生儿筛查。拟议的研究将让研究生参与研究，并将纳入 PI 教授的研究生课程中。外展活动包括课后乐高机器人活动以及与 RPI 大学前教育倡议中心合作为中学生举办的机器人夏令营。