NDLI: Graph-based optimal reactant minimization for sample preparation on digital microfluidic biochips

Content Provider	IEEE Xplore Digital Library
Author	Ting-Wei Chiang Chia-Hung Liu Juinn-Dar Huang
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Chia-Hung Liu; Juinn-Dar Huang) \|\| EECS Undergraduate Honors Program, Nat. Chiao Tung Univ., Hsinchu, Taiwan (Ting-Wei Chiang)
Abstract	Sample preparation is an essential step in biochemical reactions. Reactants must be diluted to achieve given target concentrations in sample preparation. Since some reactants like costly reagents and infant's blood are valuable, their usage should be minimized during dilution. In this paper, we propose an optimal reactant minimization algorithm, GORMA, for sample preparation on digital microfluidic biochips. GORMA adopts a systematic method to exhaustively check all possible dilution solutions and then identifies the one with minimal reactant usage and waste through maximal droplet sharing. Experimental results show that GORMA outperforms all the existing methods in reactant usage. Meanwhile, the waste amount is reduced up to 30% as compared with existing waste minimization methods. Moreover, GORMA requires only 0.6% more operations on average when compared with an operation-minimal dilution method.
Sponsorship	IEEE Circuits Syst. Soc.
Starting Page	1
Ending Page	4
File Size	636141
Page Count	4
File Format	PDF
ISBN	9781467344357
e-ISBN	9781467344364
DOI	10.1109/VLDI-DAT.2013.6533817
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-22
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Minimization Microfluidics Optimization Design automation Educational institutions Systematics Mixers
Content Type	Text
Resource Type	Article

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