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首页> 外文期刊>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems >Reactant and Waste Minimization in Multitarget Sample Preparation on Digital Microfluidic Biochips
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Reactant and Waste Minimization in Multitarget Sample Preparation on Digital Microfluidic Biochips

机译:数字微流控生物芯片上多目标样品制备中的反应物和废物最少化

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摘要

Sample preparation is one of essential processes in biochemical reactions. Raw reactants are diluted in this process to achieve given target concentrations. A bioassay may require several different target concentrations of a reactant. Both the dilution operation count and the reactant usage can be minimized if multiple target concentrations are considered simultaneously during sample preparation. Hence, in this paper, we propose a multitarget sample preparation algorithm that extensively exploits the ideas of waste recycling and intermediate droplet sharing to reduce both reactant usage and waste amount for digital microfluidic biochips. Experimental results show that our waste recycling algorithm can reduce the waste and operation count by 48% and 37%, respectively, as compared to an existing state-of-the-art multitarget sample preparation method if the number of target concentrations is ten. The reduction can be up to 97% and 73% when the number of target concentrations goes even higher.
机译:样品制备是生化反应中必不可少的过程之一。在此过程中将原始反应物稀释以达到给定的目标浓度。生物测定可能需要几种不同目标浓度的反应物。如果在样品制备过程中同时考虑多个目标浓度,则稀释操作数和反应物用量都可以最小化。因此,在本文中,我们提出了一种多目标样品制备算法,该算法广泛利用了废物回收和中间液滴共享的思想,以减少数字微流控生物芯片的反应物使用量和废物量。实验结果表明,如果目标浓度为十个,与现有的最新多目标样品制备方法相比,我们的废物回收算法可以分别减少48%和37%的废物浪费。当目标浓度的数量更高时,减少量可高达97%和73%。

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