MEDA Biochip based Single- Target Fluidic Mixture Preparation with Minimum Wastage

Debraj Kundu, Sudip Roy
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引用次数: 1

Abstract

Sample preparation is an inherent procedure of many biochemical applications, and digital microfluidic biochips (DMBs) proved to be very effective in performing such a procedure. In a single mixing step, conventional DMBs can mix two droplets in 1:1 ratio only. Due to this limitation, DMBs suffer from heavy fluid wastage and large number of mixing steps. However, the next generation DMBs, i.e., micro-electrode-dot-array (MEDA) biochips can realize multiple mixing ratios and are able to overcome a lot of those limitations. In this paper, we present a heuristic-based sample preparation algorithm, specifically a mixing algorithm called Division by Factor Method for Mixing that exploits the mixing models of MEDA biochips. We propose another mixing algorithm for MEDA biochips called Single Target Waste Minimization (STWM), which minimizes the wastage of fluids and determines an optimized mixing graph. Simulation results confirm that the proposed STWM method outperforms the state-of-the-art method in terms of minimizing the number of waste fluids, reducing the total reagent usage, and minimizing the number of mixing operations.
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基于MEDA生物芯片的单目标流体混合物制备的最小浪费
样品制备是许多生化应用的固有程序,数字微流控生物芯片(dmb)被证明在执行这一程序中非常有效。在单个混合步骤中,传统的dmb只能以1:1的比例混合两个液滴。由于这一限制,dmb遭受严重的流体浪费和大量的混合步骤。然而,下一代dmb,即微电极点阵列(MEDA)生物芯片可以实现多种混合比,并能够克服许多这些限制。在本文中,我们提出了一种基于启发式的样品制备算法,特别是一种基于MEDA生物芯片混合模型的混合算法,称为按因子法混合。我们提出了另一种用于MEDA生物芯片的混合算法,称为单目标废物最小化(STWM),该算法最大限度地减少了流体的浪费,并确定了优化的混合图。模拟结果证实,所提出的STWM方法在最大限度地减少废液数量、减少总试剂使用量和最大限度地减少混合操作次数方面优于最先进的方法。
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