Nano Liquid Handling Using Microfluid Processor Chip

描述(由申请人提供)：BioMachines描述一种特定的 多通道、小体积流体处理的创新，微流体 处理器芯片(MPC)。MPC是一种原创的流体处理设备，基于 可阵列的一次性芯片，最初由硅制成，将使 高精度、低成本、高速的纳米级液体处理和 皮升体积。该设计的模块化性质将隔离 复杂的打印机构和控制电路从流体 储水器和喷嘴；允许处理或回收低成本的 受污染的无源部件和更昂贵的有源部件的再利用。这个 与现有技术相比，MPC具有以下优势：1)高速 生物芯片的生产；2)不同液体的柔性微流控点胶 来自单个芯片内多个通道的类型和音量以及3)低成本， 一次性或可回收的蓄水池。BioMachines将开发这项技术 在接下来的一年里，与几个合作者合作。在以下方面取得成功 开发MPC将显著提高效率，并将 大幅降低执行大规模、高价值基因组学的成本 蛋白质组学研究与商业生物医学和生物制药 发展。 拟议的商业应用：BioMachines提议开发一种创新的微流体处理设备，该设备将彻底改变微阵列的生产方式。微阵列或生物芯片是一种强大的技术，有可能在基因组学和蛋白质组学研究中创造巨大的生产率提升。

DESCRIPTION (provided by applicant): BioMachines describes a specific innovation in multichannel, small volume fluid handling, the Microfluid Processor Chip (MPC). The MPC is an original fluid handling device based on arrayable, disposable chips, initially fabricated from silicon that will enable highly accurate, low cost, high speed processing of liquids at nano and picoliter volumes. The modular nature of the design will isolate the sophisticated printing mechanism and control circuitry from the fluid reservoirs and nozzles; allowing disposal or recycling of the low cost contaminated passive parts and reuse of the more expensive active parts. The MPC has the following advantages over existing technologies: 1) High speed production of Biochips; 2) Flexible microfluidic dispensing of different liquid types and volumes from multiple channels within a single chip and 3) Low-cost, disposable or recyclable reservoirs. BioMachines will develop this technology over the next year in collaboration with several collaborators. Success in developing the MPC will significantly increase the efficiency and will substantially lower the cost of performing large-scale, high value genomics and proteomics research and commercial biomedical and biopharmaceutical development. PROPOSED COMMERCIAL APPLICATION: BioMachines proposes to develop an innovative microfluid handling device that will revolutionize the way microarrays are produced. The microarray or Biochip is a powerful technology with the potential for creating huge productivity gains in genomics and proteomics research.