Competition of convection and diffusion in the self-mixing of microtubule-kinesin active fluid with non-uniform activity: Simulation
ORAL
Abstract
Active fluids with spatiotemporally varying activity have potential applications to micromixing; however previously existing active fluids models are not prepared to account for spatiotemporally-varying active stresses. Our experimental work used UV-activated caged ATP to activate controlled regions of microtubule-kinesin active fluid inducing a propagating active-passive interface. Here, we recapitulate our experimental results with two models. The first model redistributes an initial ATP distribution by Fick's law and translates the ATP distribution into a velocity profile by Michaelis-Menton kinetics. This model reproduces our experimental measurements for the low-Péclet number limit within 10% error without fitting parameters. However, as the model is diffusion based, it fails to capture the convective based superdiffusive-like behaviour at high Péclet numbers. Our second model introduces a spatiotemporally varying ATP field to an existing nematohydrodynamic active fluid model and then couples the active stresses to local ATP concentrations. This model is successful in qualitatively capturing the superdiffusive-like progression of the active-inactive interface for high Peclet number (convective transport) experimental cases. Our results show that new model frameworks are necessary for capturing the behaviour of active fluid with spatiotemporally varying activity.
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Publication: Bate et al. Self-mixing in microtubule-kinesin active fluid from nonuniform to uniform distributions of activities, 23 May 2022, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-1682654/v1]
Presenters
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Joshua H Dickie
Worcester Polytechnic Institute
Authors
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Joshua H Dickie
Worcester Polytechnic Institute
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Teagan Bate
Worcester Polytechnic Institute
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Megan Varney
Worcester Polytechnic Institute
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Ezra Taylor
Worcester Polytechnic Institute
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Chih-Che Chueh
National Cheng Kung University
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Michael M Norton
Rochester Institute of Technology
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Kun-Ta Wu
Worcester Polytechnic Institute