Design and validation of microfluidic parameters of a microfluidic chip using fluid dynamics
Source abstract
Abstract
The internal fluidic parameters of microfluidic channels must be analyzed to solve fundamental microfluidic problems, including microscale transport problems involving thermal analysis, chemical reactivity, velocity, pressure drop, etc., for developing good-quality chemical and biological products. Therefore, the characterization and optimization of the interaction of chemical and biological solutions through microfluidic channels are vital for fluid flow design and engineering for quality assurance in microfluidic platforms. As the internal structures and kinetics of microfluidic channels are becoming increasingly complex, experiments involving optimal fluidic and transport designs are challenging to perform with high accuracy. However, highly integrated simulation tools can guide researchers without specialized computational fluid backgrounds to design numerical prototypes of highly integrated devices. In this study, a microfluidic chip with two inlet wells and one outlet well was fabricated from polydimethylsiloxane following which simulations were performed using an ANSYS Fluent tool influenced by computational fluid dynamics at a nearly identical scale. The pressure drop and velocity profiles of the interaction of two pH buffer solutions (pH 4 and 10) through the designed microfluidic chip were qualitatively estimated from experimental data analysis and validated with the simulation results obtained from the CFD-influenced ANSYS Fluent tool.
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Research context
OpenAlex topics: Microfluidic and Capillary Electrophoresis Applications · Microfluidic and Bio-sensing Technologies · Innovative Microfluidic and Catalytic Techniques Innovation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Graduate School of Natural Science and Technology, Department of Medical Bioengineering, Okayama University 3-1-1 1 , Tsushima-naka, Kita-ku, Okayama 700-8530, Japan
Graduate School of Interdisciplinary Science and Engineering in Health Systems, Department of Medical Bioengineering, Okayama University 3-1-1 2 , Tsushima-naka, Kita-ku, Okayama 700-8530, Japan
References (26)
Show source-provided references
1. Microscale flow visualization
2. 2016 · 1
3. Optical method for simultaneous high-resolution measurement of heat and fluid flow: The case of Rayleigh-Bénard convection10.1103/physrevapplied.14.054038 ↗
4. Terahertz imaging technique for monitoring the flow of buffer solutions at different pH values through a microfluidic chip10.35848/1347-4065/abd86e ↗
5. Study of flow behaviors on single-cell manipulation and shear stress reduction in microfluidic chips using computational fluid dynamics simulations10.1063/1.4866358 ↗
6. Advances in computational fluid mechanics in cellular flow manipulation: A review10.3390/app9194041 ↗
7. CFD solution procedure—A beginning10.1016/B978-0-08-098243-4.00002-0 ↗
8. Towards numerical prototyping of labs-on-chip: Modeling for integrated microfluidic devices10.1007/s10404-005-0041-z ↗
9. Introduction10.1016/B978-0-08-098243-4.00001-9 ↗
10. Design of pressure-driven microfluidic networks using electric circuit analogy10.1039/c2lc20799k ↗
11. Microfluidic systems for whole-animal screening with C. elegans
12. Employing microfluidic devices to induce concentration gradients
13. Microfluidic cell culture platforms with embedded nanoscale features
14. Microfluidics and micro total analytical systems10.1016/B978-0-12-814862-4.00003-X ↗
15. Latest developments in micro total analysis systems10.1021/ac100969k ↗
16. Perspectives on liquid biopsy for label-free detection of “circulating tumor cells” through intelligent lab-on-chips10.1002/viw.20200034 ↗
17. From CAD to microfluidic chip within one day: Rapid prototyping of lab-on-chip cartridges using generic polymer parts10.1088/1361-6439/aba5dd ↗
18. 2018
19. An approximation approach for the simulation of vapor-liquid phase change by the volume-of-fluid method10.1016/j.ijmultiphaseflow.2020.103359 ↗
20. Conservation laws10.1016/B978-0-12-405935-1.00004-6 ↗
21. Computational fluid dynamics10.1016/B978-0-12-405935-1.00013-7 ↗
22. Numerical modeling of multiphase flows in microfluidics and micro process engineering: A review of methods and applications10.1007/s10404-012-0940-8 ↗
23. 2012
24. 2012
25. Laminar flow10.1016/B978-0-12-405935-1.00009-5 ↗
26. Turbulence10.1016/B978-0-12-405935-1.00012-5 ↗