High-Speed On-Chip Mixing by Microvortex Generated by Controlling Local Jet Flow Using Dual Membrane Pumps

Robot integrated microfluidic chip is a key technology for microscale applications. Recently, the technology has been applied to on-chip mixing, which mix solutions on a microfluidic chip because it is a promising tool to analyze not only the chemical reaction with the small sample volume, but also the response of cells to environmental changes. However, these conventional mixing methods require the mixing time of millisecond-order due to the difficulty of mixing in the laminar condition of a microchannel whose Reynolds number tends to be low. In this letter, we propose a high-speed on-chip mixing by the microvortex generated by controlling local jet flow using dual-membrane pumps. First, we confirmed that vortex was successfully generated within 20 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>s by the local jet flow. The velocity and Reynolds number were analytically estimated as approximately 20 m/s and <inline-formula><tex-math notation="LaTeX">${\text{1.6}} \times \text{10}^{\text{3}}$</tex-math></inline-formula>, respectively. Second, we evaluated the response time of the mixing using the microvortex. We mixed 200-nm nanobead suspension and the DI water in the velocity of main flow of 1 m/s. By measuring the intensity at the certain observation area, we confirmed that our method successfully mixed solutions and the mixing time was approximately 500 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>s, whose speed has not been achieved by conventional robot integrated on-chip mixers. Moreover, we confirmed that our system can control the concentration of mixed flow by controlling flow rate ratio of sample and sheath flow. From these results, we confirmed that we achieved high-speed on-demand on-chip mixing by the microvortex.

[1]  Fumihito Arai,et al.  Measurement of the mechanical properties of single Synechocystis sp. strain PCC6803 cells in different osmotic concentrations using a robot-integrated microfluidic chip. , 2018, Lab on a chip.

[2]  Tuncay Alan,et al.  Vibrating membrane with discontinuities for rapid and efficient microfluidic mixing. , 2015, Lab on a chip.

[3]  K. Mae,et al.  Control of extremely fast competitive consecutive reactions using micromixing. Selective Friedel-Crafts aminoalkylation. , 2005, Journal of the American Chemical Society.

[4]  Bifeng Liu,et al.  Ultrafast microfluidic mixer for tracking the early folding kinetics of human telomere G-quadruplex. , 2014, Analytical chemistry.

[5]  D. J. Harrison,et al.  Capillary electrophoresis and sample injection systems integrated on a planar glass chip , 1992 .

[6]  Fumihito Arai,et al.  Comparative Analysis of kdp and ktr Mutants Reveals Distinct Roles of the Potassium Transporters in the Model Cyanobacterium Synechocystis sp. Strain PCC 6803 , 2014, Journal of bacteriology.

[7]  Aram J. Chung,et al.  Pulsed laser activated cell sorting with three dimensional sheathless inertial focusing , 2014, The 9th IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS).

[8]  P. Gendron,et al.  Diffusion Coefficients of Several Rhodamine Derivatives as Determined by Pulsed Field Gradient–Nuclear Magnetic Resonance and Fluorescence Correlation Spectroscopy , 2008, Journal of Fluorescence.

[9]  Fumihito Arai,et al.  Intelligent Image-Activated Cell Sorting , 2018, Cell.

[10]  Chang Lu,et al.  Droplet sorting based on the number of encapsulated particles using a solenoid valve. , 2013, Lab on a chip.

[11]  Frédéric Ayela,et al.  Hydrodynamic cavitation of binary liquid mixtures in laminar and turbulent flow regimes , 2017 .

[12]  S. Terry,et al.  A gas chromatographic air analyzer fabricated on a silicon wafer , 1979, IEEE Transactions on Electron Devices.

[13]  Fumihito Arai,et al.  On-chip cell sorting by high-speed local-flow control using dual membrane pumps. , 2017, Lab on a chip.

[14]  Nam-Trung Nguyen,et al.  High-throughput micromixers based on acoustic streaming induced by surface acoustic wave , 2011 .

[15]  J. T. Edward,et al.  Molecular Volumes and the Stokes-Einstein Equation. , 1970 .

[16]  Chien-Hsiung Tsai,et al.  Application of electrokinetic instability flow for enhanced micromixing in cross-shaped microchannel , 2006, Biomedical microdevices.

[17]  Shujing Wang,et al.  High-throughput single-cell analysis for the proteomic dynamics study of the yeast osmotic stress response , 2017, Scientific Reports.

[18]  Victor M Ugaz,et al.  Multivortex micromixing. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[19]  Lin Wang,et al.  Standing surface acoustic wave (SSAW) based multichannel cell sorting. , 2012, Lab on a chip.

[20]  Fumihito Arai,et al.  Red blood cell fatigue evaluation based on the close-encountering point between extensibility and recoverability. , 2014, Lab on a chip.

[21]  Jr-Lung Lin,et al.  A vortex-type micromixer utilizing pneumatically driven membranes , 2009 .

[22]  Fumihito Arai,et al.  Cellular Force Measurement Using a Nanometric-Probe-Integrated Microfluidic Chip with a Displacement Reduction Mechanism , 2013, J. Robotics Mechatronics.

[23]  Adam Sciambi,et al.  Accurate microfluidic sorting of droplets at 30 kHz. , 2015, Lab on a chip.

[24]  Fumihito Arai,et al.  Isolation of single motile cells using a high-speed picoliter pipette , 2019, Microfluidics and Nanofluidics.

[25]  Dino Di Carlo,et al.  Hydrodynamic stretching of single cells for large population mechanical phenotyping , 2012, Proceedings of the National Academy of Sciences.

[26]  Kei Nanatani,et al.  Characterization of the role of a mechanosensitive channel in osmotic down shock adaptation in Synechocystis sp PCC 6803 , 2013, Channels.

[27]  T. Fukuda,et al.  Generation of concentration gradient from a wave-like pattern by high frequency vibration of liquid–liquid interface , 2008, Biomedical microdevices.

[28]  Michael A. Sprague,et al.  A simple three-dimensional vortex micromixer , 2009 .

[29]  Manabu Tokeshi,et al.  Development of the iLiNP Device: Fine Tuning the Lipid Nanoparticle Size within 10 nm for Drug Delivery , 2018, ACS omega.