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Step bunching in a diffusion-controlled system: phase-shifting interferometry investigation of ferritin
Olga Gliko1, Nicholas A Booth, Peter G Vekilov
1Department of Chemical Engineering, University of Houston, Houston, TX 77204, USA.
Acta Crystallographica. Section D, Biological Crystallography
|September 28, 2002
Summary
We developed a new phase-shifting interferometry method to study protein crystallization kinetics. This technique revealed fluctuations in ferritin crystal growth, influenced by solute transport and interfacial processes.
Area of Science:
- Crystallization Science
- Biophysics
- Materials Science
Background:
- Protein crystallization is crucial for structural biology and drug development.
- Understanding crystal growth kinetics and pattern formation is key to optimizing crystallization processes.
- Ferritin crystallization serves as a model system for studying protein crystal growth dynamics.
Purpose of the Study:
- To introduce a novel phase-shifting interferometry technique for analyzing unsteady kinetics during protein crystallization.
- To investigate the formation of spatio-temporal patterns in ferritin crystal growth.
- To elucidate the relationship between interfacial growth processes and bulk solute transport.
Main Methods:
- Application of a novel phase-shifting interferometry technique.
- In-situ monitoring of ferritin crystal growth.
- Analysis of growth rate, step density, and step velocity fluctuations.
- Investigation of the influence of supersaturation, crystal size, and distance from step sources.
Main Results:
- Observed strong fluctuations in growth rate, step density, and step velocity attributed to step bunch passage.
- Demonstrated that fluctuation amplitudes decrease with increased supersaturation, crystal size, and distance from step sources.
- Identified weak interaction between steps through analysis of step velocity dependence on local slope.
Conclusions:
- Fluctuations in ferritin crystal growth are rooted in the coupling of interfacial growth processes with bulk solute transport.
- In diffusion-controlled systems with weakly interacting steps, stable growth occurs via equidistant step trains.
- Randomly arising step bunches tend to decay, supporting the stable growth mode.