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An empirical resistive-force theory for slender biological filaments in shear-thinning fluids

Accepted version
Peer-reviewed

Type

Article

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Authors

Riley, EE 

Abstract

Many cells exploit the bending or rotation of flagellar filaments in order to self-propel in viscous fluids. While appropriate theoretical modeling is available to capture flagella locomotion in simple, Newtonian fluids, formidable computations are required to address theoretically their locomotion in complex, nonlinear fluids, e.g., mucus. Based on experimental measurements for the motion of rigid rods in non-Newtonian fluids and on the classical Carreau fluid model, we propose empirical extensions of the classical Newtonian resistive-force theory to model the waving of slender filaments in non-Newtonian fluids. By assuming the flow near the flagellum to be locally Newtonian, we propose a self-consistent way to estimate the typical shear rate in the fluid, which we then use to construct correction factors to the Newtonian local drag coefficients. The resulting non-Newtonian resistive-force theory, while empirical, is consistent with the Newtonian limit, and with the experiments. We then use our models to address waving locomotion in non-Newtonian fluids and show that the resulting swimming speeds are systematically lowered, a result which we are able to capture asymptotically and to interpret physically. An application of the models to recent experimental results on the locomotion of Caenorhabditis elegans in polymeric solutions shows reasonable agreement and thus captures the main physics of swimming in shear-thinning fluids.

Description

Keywords

Animals, Biomechanical Phenomena, Caenorhabditis elegans, Flagella, Models, Biological, Motion, Movement, Solutions, Viscoelastic Substances

Journal Title

Physical Review E - Statistical, Nonlinear, Biological, and Soft Matter Physics

Conference Name

Journal ISSN

2470-0045
2470-0053

Volume Title

95

Publisher

American Physical Society
Sponsorship
European Research Council (682754)
This work was funded in part by the the EPSRC (E.E.R.) and by the European Union through a Marie Curie CIG grant (E.L.) and an ERC consolidator grant (E.L.).