NDLI: The golden-mean surface pattern to enhance flow mixing in micro-channel

Content Provider	Springer Nature Link
Author	Wang, J. F. Liu, Y. Xu, Y. S.
Copyright Year	2008
Abstract	Mixing of analytes and reagents in microfluidic devices is often crucial to the effective functioning of lab-on-a-chip. It is possible to affect the mixing in microfluidics by intelligently controlling the thermodynamic and chemical properties of the substrate surface. Numerous studies have shown that the phase behavior of mixtures is significantly affected by surface properties of microfluidics. For example, the phase separation between the fluids can be affected by heterogeneous patterns on the substrate. The patterned substrate can offer an effective means to control fluid behavior and in turn to enhance mixing. The golden mean is a ratio that is present in the growth patterns of many biological systems—the spiral formed by a shell or the curve of a fern, for example. The golden mean or golden section was derived by the ancient Greeks. Like “π” the golden mean ratio is an irrational number 1.618, or $${{\left( {\sqrt 5 + 1} \right)} \mathord{\left/ {\vphantom {{\left( {\sqrt 5 + 1} \right)} 2}} \right. -} 2}$$ . It was found that the golden mean was an optimum ratio in natural convection heat transfer problem (Liu and Phan-Thien, Numer Heat Transf 37:613–630, 2000). In this study, we numerically studied the effect of optimum surface pattern on mixing in a micro channel and found that the flow oscillation and chaotic mixing were enhanced apparently when the ratio of hydrophobic and hydrophilic boundary follows the golden mean.
Starting Page	351
Ending Page	357
Page Count	7
File Format	PDF
ISSN	13872176
Journal	Biomedical Microdevices
Volume Number	11
Issue Number	2
e-ISSN	15728781
Language	English
Publisher	Springer US
Publisher Date	2008-10-12
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Optimum surface pattern Micro-mixing Engineering Fluid Dynamics Nanotechnology Biophysics/Biomedical Physics Biomedical Engineering
Content Type	Text
Resource Type	Article
Subject	Nanoscience and Nanotechnology Molecular Biology Biomedical Engineering

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