Limits...
Poisson's Ratio and Young's Modulus of Lipid Bilayers in Different Phases.

Jadidi T, Seyyed-Allaei H, Tabar MR, Mashaghi A - Front Bioeng Biotechnol (2014)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Physics, University of Osnabrück , Osnabrück , Germany.

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.

No MeSH data available.


Related in: MedlinePlus

Snapshots of the simulated lipid membrane in the (A) gel, (B) fluid, and (C) interdigitated phase. Lipid’s head beads and tail bead are shown in red and green, respectively.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4126470&req=5

Figure 2: Snapshots of the simulated lipid membrane in the (A) gel, (B) fluid, and (C) interdigitated phase. Lipid’s head beads and tail bead are shown in red and green, respectively.

Mentions: By scanning the phase diagram of the referenced model (Lenz, 2007), firstly we equilibrated lipid bilayers for about two millions Monte Carlo (MC) steps to produce different phases for the aim of this work, see Figure 2. In the reduced units, ϵ/kB for the temperature T and for the pressure P, the corresponding thermodynamic variables are: P = 2 and T = 1.08 for the gel phase, P = 1 and T = 1.3 for the fluid phase, P = 0.5 and T = 1.16 for the interdigitated phase. The characteristic parameters for different phases including the average chain length , thickness of the bilayer d, area per lipid A, and chain order parameter Sz are summarized in Table 2.


Poisson's Ratio and Young's Modulus of Lipid Bilayers in Different Phases.

Jadidi T, Seyyed-Allaei H, Tabar MR, Mashaghi A - Front Bioeng Biotechnol (2014)

Snapshots of the simulated lipid membrane in the (A) gel, (B) fluid, and (C) interdigitated phase. Lipid’s head beads and tail bead are shown in red and green, respectively.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4126470&req=5

Figure 2: Snapshots of the simulated lipid membrane in the (A) gel, (B) fluid, and (C) interdigitated phase. Lipid’s head beads and tail bead are shown in red and green, respectively.
Mentions: By scanning the phase diagram of the referenced model (Lenz, 2007), firstly we equilibrated lipid bilayers for about two millions Monte Carlo (MC) steps to produce different phases for the aim of this work, see Figure 2. In the reduced units, ϵ/kB for the temperature T and for the pressure P, the corresponding thermodynamic variables are: P = 2 and T = 1.08 for the gel phase, P = 1 and T = 1.3 for the fluid phase, P = 0.5 and T = 1.16 for the interdigitated phase. The characteristic parameters for different phases including the average chain length , thickness of the bilayer d, area per lipid A, and chain order parameter Sz are summarized in Table 2.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Physics, University of Osnabrück , Osnabrück , Germany.

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.

No MeSH data available.


Related in: MedlinePlus