Title
Sample preparation for many-reactant bioassay on DMFBs using common dilution operation sharing
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.
Year
DOI
Venue
2013
10.1109/ICCAD.2013.6691180
ICCAD
Keywords
Field
DocType
dilution operation sharing,reactants,biochemical applications,biomems,digital microfluidic biochip (dmfb),single-target sample preparation,various reactants,multitarget sample preparation,target solution,recipe matrix,biochemistry,many-reactant sample preparation,sample preparation,common dilution operation sharing,many-reactant bioassay,dmfbs,digital microfluidic biochips,lab-on-a-chip,microfluidics,dilution,target concentration,codos,multi-target sample preparation,biomedical electronics,biochip,reactant minimization,lab on a chip
Process engineering,Dilution,Biochip,Matrix (mathematics),Computer science,Microfluidics,Sample preparation,Real-time computing,Bioassay,Minification,Lab-on-a-chip
Conference
ISSN
ISBN
Citations 
1092-3152
978-1-4799-1069-4
17
PageRank 
References 
Authors
0.69
14
4
Name
Order
Citations
PageRank
Chia-Hung Liu11699.57
Hao-Han Chang2170.69
Tung-Che Liang3170.69
Juinn-Dar Huang427027.42