Reactant minimization during sample preparation on digital microfluidic biochips using skewed mixing trees

Juinn-Dar Huang*, Chia Hung Liu, Ting Wei Chiang

*此作品的通信作者

    研究成果: Conference article同行評審

    83 引文 斯高帕斯(Scopus)

    摘要

    Sample preparation is an indispensable process to biochemical reactions. Original reactants are usually diluted to the solutions with desirable concentrations. Since the reactants, like infant's blood, DNA evidence collected from a crime scene, or costly reagents, are extremely valuable, the usage of reactant must be minimized in the sample preparation process. In this paper, we propose the first reactant minimization approach, REMIA, during sample preparation on digital microfluidic biochips (DMFBs). Given a target concentration, REMIA constructs a skewed mixing tree to guide the sample preparation process for reactant minimization. Experimental results demonstrate that REMIA can save about 31%∼52% of reactant usage on average compared with three existing sample preparation methods. Besides, REMIA can be extended to tackle the sample preparation problem with multiple target concentrations, and the extended version also successfully decreases the reactant usage further.

    原文English
    文章編號6386640
    頁(從 - 到)377-383
    頁數7
    期刊IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
    DOIs
    出版狀態Published - 2012
    事件2012 30th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2012 - San Jose, CA, United States
    持續時間: 5 11月 20128 11月 2012

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