Literature DB >> 3179284

Modelling the phase equilibria in two-component membranes of phospholipids with different acyl-chain lengths.

J H Ipsen1, O G Mouritsen.   

Abstract

A phenomenological model is proposed to describe the membrane phase equilibria in binary mixtures of saturated phospholipids with different acyl-chain lengths. The model is formulated in terms of thermodynamic and thermomechanic properties of the pure lipid bilayers, specifically the chain-melting transition temperature and enthalpy, the hydrophobic bilayer thickness, and the lateral area compressibility modulus. The model is studied using a regular solution theory made up of a set of interaction parameters which directly identify that part of the lipid-lipid interaction which is due to hydrophobic mismatch of saturated chains of different lengths. It is then found that there is effectively a single universal interaction parameter which, in the full composition range, describes the phase equilibria in mixtures of DMPC/DPPC, DPPC/DSPC, DMPC/DSPC, and DLPC/DSPC, in excellent agreement with experimental measurements. The model is used to predict the variation with temperature and composition of the specific heat, as well as of the average membrane thickness and area in each of the phases. Given the value of the universal interaction parameter, the model is then used to predict the phase diagrams of binary mixtures of phospholipids with different polar head groups, e.g., DPPC/DPPE, DMPC/DPPE and DMPE/DSPC. By comparison with experimental results for these mixtures, it is shown that difference in acyl-chain lengths gives the major contribution to deviation from ideal mixing. Application of the model to mixtures with non-saturated lipids is also discussed.

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Year:  1988        PMID: 3179284     DOI: 10.1016/0005-2736(88)90425-7

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  23 in total

1.  Density fluctuations in saturated phospholipid bilayers increase as the acyl-chain length decreases.

Authors:  J H Ipsen; K Jørgensen; O G Mouritsen
Journal:  Biophys J       Date:  1990-11       Impact factor: 4.033

2.  Impact of Acyl Chain Mismatch on the Formation and Properties of Sphingomyelin-Cholesterol Domains.

Authors:  Thomas K M Nyholm; Oskar Engberg; Victor Hautala; Hiroshi Tsuchikawa; Kai-Lan Lin; Michio Murata; J Peter Slotte
Journal:  Biophys J       Date:  2019-09-25       Impact factor: 4.033

3.  Indirect evidence for lipid-domain formation in the transition region of phospholipid bilayers by two-probe fluorescence energy transfer.

Authors:  S Pedersen; K Jørgensen; T R Baekmark; O G Mouritsen
Journal:  Biophys J       Date:  1996-08       Impact factor: 4.033

4.  New approaches to the simulation of heat-capacity curves and phase diagrams of pseudobinary phospholipid mixtures.

Authors:  C Johann; P Garidel; L Mennicke; A Blume
Journal:  Biophys J       Date:  1996-12       Impact factor: 4.033

5.  Two photon fluorescence microscopy of coexisting lipid domains in giant unilamellar vesicles of binary phospholipid mixtures.

Authors:  L A Bagatolli; E Gratton
Journal:  Biophys J       Date:  2000-01       Impact factor: 4.033

6.  Theory of thermal anomalies in the specific heat of lipid bilayers containing cholesterol.

Authors:  J H Ipsen; O G Mouritsen; M J Zuckermann
Journal:  Biophys J       Date:  1989-10       Impact factor: 4.033

7.  Monte Carlo simulation of two-component bilayers: DMPC/DSPC mixtures.

Authors:  I P Sugár; T E Thompson; R L Biltonen
Journal:  Biophys J       Date:  1999-04       Impact factor: 4.033

8.  Monte Carlo simulation of lipid mixtures: finding phase separation.

Authors:  J Huang; G W Feigenson
Journal:  Biophys J       Date:  1993-11       Impact factor: 4.033

9.  Geometrical properties of gel and fluid clusters in DMPC/DSPC bilayers: Monte Carlo simulation approach using a two-state model.

Authors:  I P Sugár; E Michonova-Alexova; P L Chong
Journal:  Biophys J       Date:  2001-11       Impact factor: 4.033

10.  Component and state separation in DMPC/DSPC lipid bilayers: a Monte Carlo simulation study.

Authors:  Ekaterina I Michonova-Alexova; István P Sugár
Journal:  Biophys J       Date:  2002-10       Impact factor: 4.033

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