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Simulation-assisted design of microfluidic sample traps for optimal trapping and culture of non-adherent single cells, tissues, and spheroids

Nassim Rousset, Frédéric Monet and Thomas Gervais

Article (2017)

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Cite this document: Rousset, N., Monet, F. & Gervais, T. (2017). Simulation-assisted design of microfluidic sample traps for optimal trapping and culture of non-adherent single cells, tissues, and spheroids. Scientific Reports, 7. doi:10.1038/s41598-017-00229-1
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This work focuses on modelling design and operation of "microfluidic sample traps" (MSTs). MSTs regroup a widely used class of microdevices that incorporate wells, recesses or chambers adjacent to a channel to individually trap, culture and/or release submicroliter 3D tissue samples ranging from simple cell aggregates and spheroids, to ex vivo tissue samples and other submillimetre-scale tissue models. Numerous MST designs employing various trapping mechanisms have been proposed in the literature, spurring the development of 3D tissue models for drug discovery and personalized medicine. Yet, there lacks a general framework to optimize trapping stability, trapping time, shear stress, and sample metabolism. Herein, the effects of hydrodynamics and diffusion-reaction on tissue viability and device operation are investigated using analytical and finite element methods with systematic parametric sweeps over independent design variables chosen to correspond to the four design degrees of freedom. Combining different results, we show that, for a spherical tissue of diameter d &lt; 500 mu m, the simplest, closest to optimal trap shape is a cube of dimensions w equal to twice the tissue diameter: w = 2d. Furthermore, to sustain tissues without perfusion, available medium volume per trap needs to be 100x the tissue volume to ensure optimal metabolism for at least 24 hours.

Uncontrolled Keywords

Biomedical engineering; Fluid dynamics; Lab-on-a-chip

Open Access document in PolyPublie
Subjects: 1900 Génie biomédical > 1900 Génie biomédical
2200 Mécanique des fluides > 2200 Mécanique des fluides
3100 Physique > 3100 Physique
Department: Département de génie physique
Institut de génie biomédical
Research Center: Non applicable
Grant number: RGPIN2014-06409, 185159
Date Deposited: 20 Feb 2019 12:51
Last Modified: 21 Feb 2019 01:20
PolyPublie URL: https://publications.polymtl.ca/3542/
Document issued by the official publisher
Journal Title: Scientific Reports (vol. 7)
Publisher: Springer Nature
Official URL: https://doi.org/10.1038/s41598-017-00229-1


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