Multi-Target many-reactant sample preparation for reactant minimization on microfluidic biochips

Yung Chun Lei, Tien Kuo Lin, Juinn-Dar Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Sample preparation is one of essential steps in biochemical applications. It produces solutions with target concentrations through mixing various reactants in a specific way. In this paper, we propose a reactant cost minimization technique, M2SPA, for multi-Target many-reactant sample preparation on microfluidic biochips through maximally sharing identical intermediate solutions among different targets. M2SPA first represents target concentrations as a recipe cube, searches all feasible candidates for intermediate solution sharing among targets, and then selects the one with the best cost saving for action. Experimental results show that the proposed algorithm can reduce up to 15.7% of reactant cost as compared to a state-of-The-Art method.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2018
PublisherIEEE Computer Society
Pages655-659
Number of pages5
ISBN (Print)9781538670996
DOIs
StatePublished - 7 Aug 2018
Event17th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2018 - Hong Kong, Hong Kong
Duration: 9 Jul 201811 Jul 2018

Publication series

NameProceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI
Volume2018-July
ISSN (Print)2159-3469
ISSN (Electronic)2159-3477

Conference

Conference17th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2018
CountryHong Kong
CityHong Kong
Period9/07/1811/07/18

Keywords

  • Microfluidic biochips
  • Reactant minimization
  • Sample preparation

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