Stability and instability properties of aggregation of single chain amphiphiles into binary mixtures

Dumitru Popescu, Liviu Movileanu, Gheorghe Victor, Grigore Turcu

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

In a lysophospholipid binary mixture, there are three ways of association between the mixture components of single-chain amphiphiles: (a) between two identical molecules each of the first and second component (self- association process) and (b) between two different molecules (cross- association process). Association probabilities for three binary mixtures were analyzed as functions depending on the electric dipole moments of the polar head groups. A 3-D view representation is most suitable for this analysis. The most important finding is that for certain values of the electric dipole moments there are molecular couples which have a maximum stability to the changes in the external electrolytic medium. This fact confirms the formation of clusters and their stability, which is equivalent to the existence of micro-heterogeneities within the lipid bilayers. On the other hand, there are unstable molecular associations, and this fact influences the appearance of some phase transitions. Generally, the increase of the electric dipole moment or the increase of the acyl-chain length of one component from a binary lipid mixture decreases the self-association probability between its own molecules, but it increases the self-association probability of the other mixture components. Furthermore, the cross- association probability has high values for any binary lipid mixture of single-chain amphiphiles.

Original languageEnglish (US)
Pages (from-to)43-61
Number of pages19
JournalBulletin of Mathematical Biology
Volume59
Issue number1
DOIs
StatePublished - Jan 1997
Externally publishedYes

ASJC Scopus subject areas

  • Neuroscience(all)
  • Immunology
  • Mathematics(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Environmental Science(all)
  • Pharmacology
  • Agricultural and Biological Sciences(all)
  • Computational Theory and Mathematics

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