Bending moduli and spontaneous curvature. 1. Bilayers and monolayers of pure and mixed nonionic surfactants

Barneveld, P.A.; Scheutjens, J.M.H.M.; Lyklema, J.

doi:10.1021/la00048a044

Cited by 36 publications

(33 citation statements)

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“…Accordingly, SANS detects an aggregate with lower axial ratio in the NaPal(D)/NaDod(H) system, where only NaDod contributes to the scattering. It is not quite clear why this situation should be energetically favourable, as the mean radius of curvature is smaller in end caps, and the bending energy of a mixed surfactant bilayer should be lower, the higher the fraction of short-chain surfactant (Barneveld et al, 1992(Barneveld et al, , 1994.…”

Section: Figure 23 the Differential Cross-section Of Sans From Solutmentioning

confidence: 99%

Interactions between cationic starch and anionic surfactants

Merta¹,

Stenius²

1995

Colloid Polym Sci

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Section: Figure 23 the Differential Cross-section Of Sans From Solutmentioning

confidence: 99%

Interactions between cationic starch and anionic surfactants

Merta¹,

Stenius²

1995

Colloid Polym Sci

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“…Hence an alternative route is to describe this demixing at higher temperatures, and to extrapolate the temperature dependence of the χ-parameter back to room temperature. This way Barneveld et al [66] estimated this χ-parameter as function of temperature and found the value χ ew ≈ 0.30 − 0.38 at room temperature. However, he only took the cloud-point into account where mean-field theory is least reliable.…”

Section: Biomembrane Morphologymentioning

confidence: 96%

Applications of Dissipative Particle Dynamics

Groot

2004

Novel Methods in Soft Matter Simulations

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Abstract. Dissipative Particle Dynamics (DPD) is one of the most promising simulation techniques for studies of mesoscopic properties of soft matter systems. Here, we discuss DPD, its parameterisation in simple systems, as well as in polymeric systems using the Flory-Huggins theory, and generalisations of DPD. Block copolymer mesophase separation, polymers and membranes in surfactant solutions, and biomembrane morphology and rupture will shown as specific examples. Why Mesoscopic Simulation?Over the last two decades most simulation studies have concentrated on the motion of individual atoms in systems of a few nanometers and a few nanoseconds. Other simulation methods concentrate exclusively on the macroscopic world of planes, trains and automobiles. However, between the nano-and macroscopic scale ranges some forty decades in volume and time. The holy grail of theoretical physics is to bridge this gap. This is due to the fact that in many cases simulation of this intermediate regime is essential for understanding macroscopic phenomena, e.g. molecules ordering spontaneously on mesoscopic length and time scales. This category of problems includes life and biological phenomena such as membrane structuring, perforation and trafficking. As a matter of fact, this list contains all soft condensed matter including surfactants, polymers and (multi)block copolymers that show microphase separation, or form gels or glassy systems, see Fig. 1.What could we expect if we would be able to extend the time scale over which we can simulate a physical system? If we take the example of lipid bilayers, we find that new phenomena occur every time we increase the time scale at which we look at our system [1]. On the shortest time scale of a few picoseconds the lipids show bond and angle fluctuations of dihedral angles within the same molecule. On larger time scales of a few tens of picoseconds, trans-gauche isomerizations of dihedrals occur [2]. On a time scale of a few nanoseconds the phospholipids rotate around their axis, and on the timescale of tens of nanoseconds two lipids switch place within a bilayer, giving rise to lateral diffusion. Within this time scale the individual lipids orient, and lipid membranes show protrusions [3]. Finally, on a time-scale of 100 ns peristaltic motions and undulations occur [4]. By virtue of parallelization over several processors or PC clusters, hardware developments have now pushed the limit of molecular simulations to 100 ns [4]. Nevertheless, there is a limit beyond which hardware developments cannot help us. For instance, phenomena such as co-operative motion in phase transitions, insertion of large molecules

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“…The lattice based SCF theory as used by Scheutjens and co workers [54] assumes that the chains are flexible and composed of symmetric seg ments with characteristic length a. The geometry of the system has to be specified.…”

Section: Scf Theorymentioning

confidence: 99%

“…On the basis of the self consistent field (SCF) the ory, Barneveld et al [48][49][50] have applied the self consistent field lattice theory of Scheutjens and Fleer [51] to calculate numerical bending elasticity parame ters for both bilayer and monolayer of alkyl polyethyl ene glycols. Oversteegen and Leermakers [52][53][54] generalized the theory of Scheutjens and Fleer to eval uate the bending rigidity of surfactant bilayers.…”

Section: Introductionmentioning

confidence: 99%

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Mechanical properties of one-phase microemulsion system

Al-Anber

2013

Colloid J

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A theoretical approach for free Gibbs energy of microemulsion ternary systems water-oil-non ionic surfactant of arbitrary size and shape is presented. We consider the Gibbs energy for three different geometries (flat, spherical and cylindrical) to estimate the free energy of surfactant-oil-water microemul sion. We also used a lattice based self consistent field (SCF) theory to calculate the free energy and the mechanical properties (the mean bending modulus and the spontaneous curvature and the saddle splay modulus ) of such system. The values obtained by our theoretical approach were compared qualita tively with those predicted by SCF theory. The results of theoretical approach were in a good agreement with those of SCF in the region where the values of free energy approach zero for the flat geometry. We demon strated that the parameters and strongly depend on the surfactant concentration.

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Bending moduli and spontaneous curvature. 1. Bilayers and monolayers of pure and mixed nonionic surfactants

Cited by 36 publications

References 0 publications

Interactions between cationic starch and anionic surfactants

Interactions between cationic starch and anionic surfactants

Applications of Dissipative Particle Dynamics

Mechanical properties of one-phase microemulsion system

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