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Micromachines 2018, 9(10), 489; https://doi.org/10.3390/mi9100489

Single-Layered Microfluidic Network-Based Combinatorial Dilution for Standard Simplex Lattice Design

1
SMALL (Sensors and MicroActuators Learning Lab), Department of Electrical Engineering, The State University of New York at Buffalo, Buffalo, NY 14260, USA
2
Sensor Solution Laboratory, LG Electronics, LG Science Park, Seoul 07796, Korea
3
School of Mechanical and Automotive Engineering, Kyungil University, Daegu 712-701, Korea
4
Department of Biomedical Engineering, The State University of New York at Buffalo, Buffalo, NY 14260, USA
*
Author to whom correspondence should be addressed.
Received: 6 August 2018 / Revised: 18 September 2018 / Accepted: 21 September 2018 / Published: 25 September 2018
(This article belongs to the Section Micro/Nanofluidics and Lab on a Chip)
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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. View Full-Text
Keywords: combinatorial dilution; 3D simplex lattice design; microfluidic network; design of experiment (DOE); microfluidic spotting system combinatorial dilution; 3D simplex lattice design; microfluidic network; design of experiment (DOE); microfluidic spotting system
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Lee, K.; Kim, C.; Oh, K.W. Single-Layered Microfluidic Network-Based Combinatorial Dilution for Standard Simplex Lattice Design. Micromachines 2018, 9, 489.

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