Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/186652
Title: Modeling and Characterization of the Passive Bending Stiffness of Nanoparticle-Coated Sperm Cells using Magnetic Excitation
Author: Dias, João M. S.
Estima, Daniel
Punte, Harmen
Klingner, Anke
Marques, Lino
Magdanz, Veronika
Khalil, Islam S. M.
Keywords: Espermatozoides
Fecundació
Spermatozoa
Fertilization (Biology)
Issue Date: 27-Jan-2022
Publisher: Wiley
Abstract: Of all the various locomotion strategies in low- (Formula presented.), traveling-wave propulsion methods with an elastic tail are preferred because they can be developed using simple designs and fabrication procedures. The only intrinsic property of the elastic tail that governs the form and rate of wave propagation along its length is the bending stiffness. Such traveling wave motion is performed by spermatozoa, which possess a tail that is characterized by intrinsic variable stiffness along its length. In this paper, the passive bending stiffness of the magnetic nanoparticle-coated flagella of bull sperm cells is measured using a contactless electromagnetic-based excitation method. Numerical elasto-hydrodynamic models are first developed to predict the magnetic excitation and relaxation of nanoparticle-coated nonuniform flagella. Then solutions are provided for various groups of nonuniform flagella with disparate nanoparticle coatings that relate their bending stiffness to their decay rate after the magnetic field is removed and the flagellum restores its original configuration. The numerical models are verified experimentally, and capture the effect of the nanoparticle coating on the bending stiffness. It is also shown that electrostatic self-assembly enables arbitrarily magnetizable cellular segments with variable stiffness along the flagellum. The bending stiffness is found to depend on the number and location of the magnetized cellular segments. © 2022 The Authors. Advanced Theory and Simulations published by Wiley-VCH GmbH.
Note: Reproducció del document publicat a: https://doi.org/10.1002/adts.202100438
It is part of: Advanced Theory And Simulations, 2022, vol. 5, num. 3
URI: http://hdl.handle.net/2445/186652
Related resource: https://doi.org/10.1002/adts.202100438
ISSN: 2513-0390
Appears in Collections:Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC))

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