Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:1279-1282. doi: 10.1109/EMBC48229.2022.9871457.
Moore's law has enabled massive scaling of complex computing and sensing systems in modern-day chip-scale architectures allowing extremely high yield and system complexity at very low-cost. Exploiting such Moore's law, we explore silicon-based integrated circuits and chip-scale systems to interface with biological fluids to manipulate, sense, and detect cells in real-time for an end-to-end low cost, miniaturized, and high sensitivity point-of-care diagnostics platform. Elimi-nating the need for complex, expensive, large and bulky syringe pumps and optical-based cytometers, the proposed system allows pneumatic-free AC electro-osmosis bulk fluid driving capabilities controlled by the CMOS chip, and integrated dielectrophoretic cell actuation with 2μm focusing accuracy, impedance spectroscopy sensing, and separation capabilities. The paper presents, for the first-time, a CMOS-driven cellular sensing platform for microfluidics that can be translated to a wide range of biomedical applications.
摩尔定律使现代芯片级架构中的复杂计算和传感系统得以大规模扩展，从而以极低的成本实现了极高的产量和系统复杂性。利用这种摩尔定律，我们探索基于硅的集成电路和芯片级系统，以与生物流体接口，实时操纵、感测和检测细胞，实现低成本、微型化和高灵敏度的即时诊断平台。该系统无需复杂、昂贵、大型和庞大的注射器泵和基于光学的细胞计数器，允许由 CMOS 芯片控制的无气动交流电渗流整体流体驱动能力，并具有 2μm 聚焦精度的集成介电泳细胞致动、阻抗谱传感和分离能力。本文首次提出了一种用于微流控的 CMOS 驱动细胞传感平台，可广泛应用于生物医学领域。
