Paper Info
Title
Graph-based optimal reactant minimization for sample preparation on digital microfluidic biochips
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.
Year
DOI
Venue
2013
10.1109/VLDI-DAT.2013.6533817
VLSI-DAT
Field
DocType
ISSN
Process engineering,Graph,Dilution,Engineering drawing,Biochip,Computer science,Microfluidics,Sample preparation,Real-time computing,Minification,Biochemical reactions,Reagent
Conference
2474-2724
ISBN
Citations 
PageRank 
978-1-4673-4435-7
20
0.93
References 
Authors
8
3
Name
Order
Citations
PageRank
Ting-Wei Chiang1632.77
Chia-Hung Liu21699.57
Juinn-Dar Huang327027.42