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

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

*Corresponding author for this work

Research output: Contribution to journalConference article

61 Scopus citations

Abstract

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.

Original languageEnglish
Article number6386640
Pages (from-to)377-383
Number of pages7
JournalIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
DOIs
StatePublished - 1 Dec 2012
Event2012 30th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2012 - San Jose, CA, United States
Duration: 5 Nov 20128 Nov 2012

Keywords

  • Biochip
  • digital microfluidic biochip (DMFB)
  • dilution
  • mixing tree
  • reactant minimization
  • sample preparation

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