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Biophysical Characterization of Flagellar Motor Functions
Published on: January 18, 2017
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An ALE-based finite element model of flagellar motion driven by beating waves: A parametric study
Seyed Esmail Razavi1, Arman Seyed Ahmadi1
1School of Mechanical Engineering, University of Tabriz, Tabriz, Iran.
Computers in Biology and Medicine
|September 29, 2015
Summary
This study models flagellar motility using computational methods, revealing how wave parameters and head shape influence swimming. Microorganism models swim more efficiently in shear-thinning fluids, offering insights into microbial locomotion.
Area of Science:
- Computational Biology
- Fluid Dynamics
- Biophysics
Background:
- Flagellar motility is crucial for microorganism locomotion.
- Understanding the physics of flagellar propulsion is key to various biological and engineering applications.
- Previous models often simplify fluid interactions or flagellar dynamics.
Purpose of the Study:
- To develop a computational model for flagellar motility using the finite element method.
- To investigate the influence of flagellar wave parameters and head morphology on swimming characteristics.
- To analyze swimming efficiency in Newtonian and non-Newtonian fluids.
Main Methods:
- Utilized the finite element method to model flagellar propulsion.
- Solved incompressible Navier-Stokes equations on a moving triangular mesh with an arbitrary Lagrangian-Eulerian formulation.
- Validated the computational model against existing literature data.
Main Results:
- Swimming velocity was found to be a linear function of finite amplitude.
- The rate of work was independent of channel height for large amplitudes.
- Propulsive velocity showed dissimilar trends with wavelength for different channel heights, especially for human sperm motility parameters.
- Wall proximity amplified effects of different head shapes.
- Microorganism models exhibited higher swimming efficiency in shear-thinning fluids.
Conclusions:
- The computational model accurately simulates flagellar motility and its dependence on various parameters.
- Head morphology and fluid properties significantly impact swimming performance.
- The findings provide valuable insights into microbial locomotion and potential applications in microfluidics and bio-inspired design.
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