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Updated: Aug 9, 2026

Crystallization of Membrane Proteins in Lipidic Mesophases
Published on: March 28, 2011
A mathematical model of crystallization in an emulsion
Daniel L Feltham1, John Garside
1Centre for Polar Observation and Modeling, Department of Space and Climate Physics, University College London, UK. dlf@cpom.ucl.ac.uk
This study presents a mathematical model for emulsion crystallization, detailing monomer transport and crystal growth. Numerical simulations align with experimental findings, enhancing our understanding of crystallization processes.
Area of Science:
- Physical Chemistry
- Materials Science
- Chemical Engineering
Background:
- Emulsion crystallization involves complex processes like nucleation, precipitation, and monomer transport.
- Existing models often simplify or omit key physical effects, limiting their predictive power.
Purpose of the Study:
- To develop a comprehensive mathematical model for emulsion crystallization.
- To explicitly conserve particle numbers and incorporate monomer transport between emulsion domains.
- To analyze the influence of various physical processes on crystal formation and growth.
Main Methods:
- Formulation of an autonomous system of nonlinear, coupled ordinary differential equations.
- Application of Becker-Döring equations for nucleation and precipitation.
- Stage-wise analysis of the model to understand individual process roles.
- Numerical calculations and linear stability analysis for different scenarios.
Main Results:
- The model accurately describes nucleation, precipitation, monomer transport, and crystal growth in emulsions.
- Numerical results are consistent with experimental observations, particularly when crystals act as monomer sinks.
- Analysis reveals the impact of monomer transport on crystallization dynamics.
- Bifurcation diagrams illustrate the behavior of stationary solutions.
Conclusions:
- The developed mathematical model provides a robust framework for studying emulsion crystallization.
- Explicit conservation of particles and detailed monomer transport are crucial for accurate modeling.
- The model's predictions align with experimental data, validating its approach.
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