ArticleFrontiers in bioengineering and biotechnology2014
Poisson's Ratio and Young's Modulus of Lipid Bilayers in Different Phases.
Article in Frontiers in bioengineering and biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- External strain on the plasma membrane is relayed to the endoplasmic reticulum by membrane contact sites and alters cellular energetics.Science advances · 2025Article
- Flower-shaped 2D crystals grown in curved fluid vesicle membranes.Nature communications · 2024Article
- Viscosity-Sensitive Membrane Dyes as Tools To Estimate the Crystalline Structure of Lipid Bilayers.Analytical chemistry · 2023Article
- Review
- Changes in Mechanical Properties of Vesicles by Mucin in Aqueous Solution.Nanomaterials (Basel, Switzerland) · 2022Article
- Quantitative Models of Lipid Transfer and Membrane Contact Formation.Contact (Thousand Oaks (Ventura County, Calif.)) · 2022Article
- Viscoelastic damage evaluation of the axon.Frontiers in bioengineering and biotechnology · 2022Article
- Dynamical nonlinear memory capacitance in biomimetic membranes.Nature communications · 2019Article
- Quantitative atomic force microscopy provides new insight into matrix vesicle mineralization.Archives of biochemistry and biophysics · 2019Article
- Peridynamic Modeling of Ruptures in Biomembranes.PloS one · 2016Article
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4 authors.
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Abstract
A general computational method is introduced to estimate the Poisson's ratio for membranes with small thickness. In this method, the Poisson's ratio is calculated by utilizing a rescaling of inter-particle distances in one lateral direction under periodic boundary conditions. As an example for the coarse grained lipid model introduced by Lenz and Schmid, we calculate the Poisson's ratio in the gel, fluid, and interdigitated phases. Having the Poisson's ratio, enable us to obtain the Young's modulus for the membranes in different phases. The approach may be applied to other membranes such as graphene and tethered membranes in order to predict the temperature dependence of its Poisson's ratio and Young's modulus.
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