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Sample Preparation with Free-Flowing Biochips using Microfluidic Binary-Tree Network

机译:使用微流二叉树网络的自由流动生物芯片进行样品制备

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Microfluidic biochips enable low-cost automation of biochemical protocols with numerous applications to medical diagnostics, forensics, molecular biology, and drug design. An important component of protocol design is sample preparation, which involves dilution or mixing of two or more fluids in a desired ratio of concentration factors (CF). Existing continuous-flow microfluidic biochips deploy either free-flowing networks where only a single layer of flow-channels is used devoid of any control valves, or valve-based technology where the flow-layer is augmented with a control layer of valves. While the former is easy to fabricate, reliable, and less expensive, they are typically hardwired for specific applications only. The latter class, although programmable, is expensive and prone to various manufacturing and operational defects. In this paper, we present the physical design of a microfluidic network that is free-flowing as well as programmable. The proposed valve-free network resembles a complete binary tree with serpentine obstacles embedded within its channels, and can be used to achieve a desired dilution of a sample just by proper selection of fluid concentrations to be fed as inputs under constant pressure. Simulation with COMSOL Multiphysics Software shows that the proposed network provides a powerful and versatile architecture for solution preparation with minimal control, outperforming prior approaches in terms of the accuracy of CFs and time for convergence.
机译:微流控生物芯片可实现生化协议的低成本自动化,并将其广泛应用于医学诊断,法医,分子生物学和药物设计。规程设计的重要组成部分是样品制备,它涉及按所需比例的浓缩因子(CF)稀释或混合两种或多种流体。现有的连续流微流生物芯片部署了自由流动的网络(其中仅使用单层流道而不使用任何控制阀),或者部署了基于阀的技术,其中在流动层中增加了阀的控制层。尽管前者易于制造,可靠且价格便宜,但它们通常仅针对特定应用进行硬接线。后一类虽然可以编程,但价格昂贵,并且容易出现各种制造和操作缺陷。在本文中,我们介绍了自由流动且可编程的微流体网络的物理设计。所提出的无阀网络类似于具有嵌入其内的通道蛇形障碍完全二叉树,并且可以使用仅通过流体浓度的适当选择来实现样品的所期望的稀释度将被供给作为在恒定压力下输入。使用COMSOL Multiphysics Software进行的仿真表明,所建议的网络为解决方案的准备提供了强大而通用的体系结构,并且只需最少的控制,就CF的准确性和收敛时间而言,其性能优于先前的方法。

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