Utilizing finite element analysis to capture in-plane shear banding lipid monolayer collapse

ORAL

Abstract

Mechanisms of biological processes related to self-assembled lipid monolayers in organs such as the ears, eyes, and lungs can be probed through studying the response of Langmuir lipid monolayers to lateral compressive stress. Mechanically, lipid monolayers can be represented as elastic sheets. In this sense, some monolayers relax stress through out-of-plane deformation, while others relax through shear banding, where in-plane rearrangements of condensed domains are observed via fluorescence microscopy (FM). These collapse modes are accessible by tuning system softness, leading to the search for a constitutive material model with similar tunability. The elastic models that are currently used to describe out-of-plane collapse have been unsuccessful in capturing in-plane collapse. Utilizing finite element analysis, we have found that uniaxial compression of a 2D sheet forms shear bands when the elastic material exhibits a non-monotonic stress-strain response. Simulation results from models that incorporate FM-derived domain morphology show that we can trigger shear bands around domains, allowing for their reorganization and reproduction of experimental shear banding morphology. Our findings expand understanding of lipid monolayer mechanical response and microscale elasticity related phenomena.

* The Materials Research Science and Engineering Center (MRSEC) at the University of ChicagoThe University of Chicago Department of Surgery

Publication: Planned paper to be submitted early 2024, in preparation
A. R. Carotenuto, Anna Gaffney, et al., J. Mech. Behavior. Bio. Mat. 141, 105743 (2023)
A. R. Carotenuto, N. Nguyen, K. Cao, Anna Gaffney, et al., Current Topics in Membrane. 87, 1-41 (2021)

Presenters

  • Anna Gaffney

    University of Chicago

Authors

  • Anna Gaffney

    University of Chicago

  • Dongxu Liu

    University of Chicago

  • Angelo Rosario Carotenuto

    University of Napoli Federico II

  • Kathleen Cao

    University of Chicago

  • Luca Deseri

    University of Trento

  • Ka Yee C Lee

    University of Chicago

  • Luka Pocivavsek

    University of Chicago

  • Nhung Nguyen

    University of Chicago