Sample preparation for many-reactant bioassay on DMFBs using common dilution operation sharing

Chia-Hung Liu, Hao-Han Chang, Tung-Che Liang, Juinn-Dar Huang
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引用次数: 40

Abstract

Sample preparation is an essential processing step in most biochemical applications. Various reactants are mixed together to produce a solution with the target concentration. Since reactants generally take a notable part of the cost in a bioassay, their usage should be minimized whenever possible. In this paper, we propose an algorithm, CoDOS, to prepare the target solution with many reactants using common dilution operation sharing on digital microfluidic biochips (DMFBs). CoDOS first represents the given target concentration as a recipe matrix, and then identifies rectangles in the matrix, where each rectangle indicates an opportunity of dilution operation sharing for reactant minimization. Experimental results demonstrate that CoDOS can achieve up to 27% of reactant saving as compared with the bit-scanning method in single-target sample preparation. Moreover, even if CoDOS is not developed for multi-target sample preparation, it still outperforms the recent state-of-the-art algorithm, RSMA. Hence, it is convincing that CoDOS is a better alternative for many-reactant sample preparation.
使用普通稀释操作共享的dmfb多反应物生物测定样品制备
样品制备是大多数生化应用中必不可少的处理步骤。将各种反应物混合在一起,产生具有目标浓度的溶液。由于反应物通常占生物测定成本的很大一部分,因此应尽可能减少反应物的使用。本文提出了一种CoDOS算法,利用数字微流控生物芯片(dmfb)上常见的稀释操作共享来制备含有多种反应物的目标溶液。CoDOS首先将给定的目标浓度表示为配方矩阵,然后在矩阵中识别矩形,其中每个矩形表示为最小化反应物共享稀释操作的机会。实验结果表明,在单目标样品制备中,与位扫描方法相比,CoDOS可节省27%的反应物。此外,即使CoDOS不是为多目标样品制备而开发的,它仍然优于最近最先进的算法RSMA。因此,令人信服的是,CoDOS是多反应物样品制备的更好选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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