Characterization of transport in microfluidic gradient generators
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We present a two-dimensional model that describes the concentration profile of a class of previously reported microfluidic devices which are of particular interest in cellular taxis research. The devices generate stable concentration gradients by mixing and dividing two or more external inputs into a large number of discrete streams. This study focuses specifically on modeling the confluence of the discrete streams in a long chamber. We derive a closed-form solution for gradient generators with any arbitrary number of sampling streams. By relating the physical dimensions to the Péclet number, we create a model independent of flow rate and therefore dependent only on the specific nature of the boundary condition provided by the upstream network. As a result, the modeling method we propose may help evaluate the effectiveness of competing gradient generation schemes. Finally, our analytical work introduces a framework for developing simple design rules of interest to experimentalists working with these devices.
KeywordsMicrofluidics Gradient generation Chemotaxis Convection–diffusion mass transport Péclet number
We thank Michael Hwang for programming assistance. We are further indebted to Drs. G. Kane Jennings, Dmitry Markov, and Robert Roselli for reviewing early drafts of this manuscript. The Advanced Computing Center for Research and Education (ACCRE) at Vanderbilt graciously provided computational resources. We acknowledge support from the NSF-sponsored VaNTH ERC, the Systems Biology/Bioengineering Undergraduate Research Experience (SyBBURE), the Vanderbilt Institute for Integrative Biosystems Research and Education (VIIBRE), NIH Grant 5U01AI061223, and a Whitaker Foundation Special Opportunity Award.
- Behar T, Schaffner A, Colton C, Somogyi R, Olah Z, Lehel C, Barker J (1994) GABA-induced chemokinesis and NGF-induced chemotaxis of embryonic spinal cord neurons. J Neurosci 14:29–38Google Scholar
- Campbell K, Groisman A (2007) Generation of complex concentration profiles in microchannels in a logarithmically small number of steps. Lab Chip (in print). doi:10.1039/b610011b
- Deen WM (1998) Analysis of transport phenomena. Oxford University Press, New YorkGoogle Scholar
- Harris H (1954) Role of chemotaxis in inflammation. Physiol Rev 34:529–562Google Scholar
- Jeon NL, Baskaran H, Dertinger SKW, Whitesides GM, de Water LV, Toner M (2002) Neutrophil chemotaxis in linear and complex gradients of Interleukin-8 formed in a microfabricated device. Nat Biotechnol 20:826–830Google Scholar
- Pantankar SV (1980) Numerical heat transfer and fluid flow. Hemisphere, New YorkGoogle Scholar
- Rhoads DS, Nadkarni SM, Song L, Voeltz C, Bodenschatz E, Guan JL (2005) Using microfluidic channel networks to generate gradients for studying cell migration. Methods Mol Biol 294:347–357Google Scholar
- Vianello F, Papeta N, Chen T, Kraft P, White N, Hart W, Kircher M, Swart E, Rhee S, Palu G, Irimia D, Toner M, Weissleder R, Poznansky M (2006) Murine B16 melanomas expressing high levels of the chemokine stromal-derived factor-1/CXCL12 induce tumor-specific T cell chemorepulsion and escape from immune control. J Immunol 176:2902–2914Google Scholar
- Zicha D, Dunn GA, Brown AF (1991) A new direct-viewing chemotaxis chamber. J Cell Sci 99:769–775Google Scholar