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Single-layered microfluidic network-based combinatorial dilution for standard simplex lattice design

  • SUNY Buffalo
  • LG Corporation
  • Kyungil University

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper, we presented a straightforward strategy to generate 15 combinations of three samples based on an experimental simplex lattice design using a single-layer microfluidic network. First, we investigated the performances of the plain structural and the groove structural combinatorial devices by computational simulation (CFD-ACE+). The simulated output concentrations were extremely close to the desirable values within an absolute error of less than 1%. Based on the simulated designs, polydimethylsiloxane (PDMS) devices were fabricated with soft lithography and tested with fluorescent dye (sodium salt). The mixing results for 15 combinations showed good performance, with an absolute error of less than 4%. We also investigated two liquid handling methods (bottom-up and top-down) for high-throughput screening and assay. The liquid-handling methods were successfully accomplished by adding the systematic structured groove sets on the mixing channels.

Original languageEnglish
Article number489
JournalMicromachines
Volume9
Issue number10
DOIs
StatePublished - Sep 25 2018

Keywords

  • 3D simplex lattice design
  • Combinatorial dilution
  • Design of experiment (DOE)
  • Microfluidic network
  • Microfluidic spotting system

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