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Published on: May 5, 2017
Predicting the Kinetics of Ice Recrystallization in Aqueous Sugar Solutions
Thijs van Westen1, Robert D Groot2
1Institute AMOLF, Science Park 104, 1098XG Amsterdam, The Netherlands.
Recrystallization rates in frozen foods and biomaterials can now be predicted using Ostwald ripening theory. This improved model accounts for solution properties and uses Maxwell-Stefan diffusion for accurate predictions.
Area of Science:
- Materials Science
- Physical Chemistry
- Food Science
Background:
- Frozen product quality degrades due to ice crystal growth via recrystallization.
- Ostwald ripening theory is often used to model this, but predictions have been inaccurate.
- Accurate prediction requires accounting for non-ideal, non-dilute solutions and ice volume fraction.
Purpose of the Study:
- To accurately predict recrystallization rates in frozen systems using Ostwald ripening theory.
- To develop a formulation of Ostwald ripening based on Maxwell-Stefan diffusion.
- To simplify the calculation of material properties needed for Ostwald ripening predictions.
Main Methods:
- Developed an alternative Ostwald ripening formulation using Maxwell-Stefan diffusion.
- Related Maxwell-Stefan diffusion coefficients to easily measurable self-diffusion coefficients.
- Validated the approach using a model system of ice in an aqueous sucrose solution.
Main Results:
- Recrystallization rates were accurately predicted for ice in a water-sucrose solution.
- The new formulation simplifies material property calculations by canceling the thermodynamic factor.
- Predicted rates showed good agreement with experimental results (within a factor of 2).
Conclusions:
- Ostwald ripening theory can accurately predict recrystallization rates in frozen systems.
- The Maxwell-Stefan diffusion approach simplifies calculations and improves accuracy.
- This work provides a more reliable method for understanding and controlling ice recrystallization.
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