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Related Concept Videos

Micelles01:30

Micelles

Micelle formation is an intricate process that hinges on the properties of amphiphilic or amphipathic molecules and the conditions of the system in which they are found. Amphiphilic molecules, which have both hydrophilic (water-attracting) and hydrophobic (water-repelling) parts, play a critical role in this process.In aqueous environments, these molecules arrange themselves such that their hydrophilic heads are turned towards the water phase, while their hydrophobic tails are oriented away...
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Surface Active Agents

Surfactants, named for their behavior at interfaces, positively adsorb at the interfaces of two phases, reducing interfacial tension. Their versatility as emulsifiers, detergents, and foaming agents stems from this ability. Surfactants, often termed amphiphiles, share the property of amphipathy, with molecules having both hydrophilic and hydrophobic portions. The hydrophilic part is called the head, and the hydrophobic part, including an elongated alkyl substituent, forms the tail.Surfactants...
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Solution, Solubility, and Solubility Equilibrium
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Intermolecular Forces03:13

Intermolecular Forces

Atoms and molecules interact through bonds (or forces): intramolecular and intermolecular. The forces are electrostatic as they arise from interactions (attractive or repulsive) between charged species (permanent, partial, or temporary charges) and exist with varying strengths between ions, polar, nonpolar, and neutral molecules. The different types of intermolecular forces are ion–dipole, dipole–dipole, hydrogen bonds, and dispersion; among these, dipole–dipole, hydrogen bonds, and dispersion...
Entropy and Solvation02:05

Entropy and Solvation

The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ ≥ 15); an...
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Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the concentration...

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Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies
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Published on: September 1, 2023

Implicit solvent models for micellization of ionic surfactants.

Arben Jusufi1, Antti-Pekka Hynninen, Athanassios Z Panagiotopoulos

  • 1Department of Chemical Engineering and Institute for the Science and Technology of Materials, Princeton University, Princeton, NJ 08544, USA.

The Journal of Physical Chemistry. B
|October 11, 2008
PubMed
Summary
This summary is machine-generated.

This study presents a novel two-step method for parameterizing implicit solvent models to simulate ionic surfactant micelle self-assembly. The approach accurately predicts critical micelle concentration and shows broad agreement with experimental data.

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Area of Science:

  • Physical Chemistry
  • Computational Chemistry
  • Materials Science

Background:

  • Accurate simulation of surfactant self-assembly into micelles is crucial for understanding various chemical and biological processes.
  • Implicit solvent models offer computational efficiency but require robust parameterization for reliable predictions.

Purpose of the Study:

  • To develop and validate a generalizable two-step method for parameterizing implicit solvent models for ionic surfactant micellization.
  • To investigate the transferability and generality of the developed model across different surfactant systems.

Main Methods:

  • Atomistic molecular dynamics simulations with explicit solvent to capture headgroup/counterion structural properties.
  • Implicit solvent model parameterization by matching structural quantities between explicit and implicit systems.
  • Grand canonical Monte Carlo simulations with histogram reweighting to determine solvophobic tail interactions, using critical micelle concentration (cmc) as the matching objective.

Main Results:

  • The developed method successfully parameterized implicit solvent models for ionic surfactants.
  • Simulations showed broad agreement with experimental data for critical micelle concentration (cmc).
  • The model demonstrated transferability for specific ion effects and varying headgroup types and alkyl chain lengths.

Conclusions:

  • The proposed two-step parameterization method is effective for simulating ionic surfactant self-assembly into micelles.
  • The approach confirms the generality and transferability of implicit solvent model parameters for diverse surfactant systems.
  • This work provides a reliable computational tool for studying micellization phenomena.