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

Micromachines (Basel)

SMALL (Sensors and MicroActuators Learning Lab), Department of Electrical Engineering, The State University of New York at Buffalo, Buffalo, NY 14260, USA.

Published: September 2018

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215202PMC
http://dx.doi.org/10.3390/mi9100489DOI Listing

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