Related Experiment Video
Updated: Sep 28, 2025
06:42
Cryogenic Sample Loading into a Magic Angle Spinning Nuclear Magnetic Resonance Spectrometer that Preserves Cellular Viability
Published on: September 1, 2020
3.6K
Relating Metabolism Suppression and Nucleation Probability During Supercooled Biopreservation
Anthony N Consiglio1, Boris Rubinsky1, Matthew J Powell-Palm1
1Department of Mechanical Engineering, University of California at Berkeley, Berkeley, CA 94720.
Journal of Biomechanical Engineering
|March 29, 2022
Summary
Aqueous supercooling preserves biological matter by slowing metabolism without ice. This study links ice nucleation risk to metabolic rate reduction, offering a framework for better biopreservation protocols.
Area of Science:
- Biophysics
- Biochemistry
- Cryobiology
Background:
- Aqueous supercooling enables subfreezing preservation of biological matter by inhibiting ice formation.
- Reduced metabolic rates at lower temperatures enhance preservation longevity.
- Stochastic ice nucleation in supercooled solutions poses a risk to biopreservation.
Purpose of the Study:
- To integrate theoretical models of stochastic ice nucleation with biological preservation principles.
- To quantify the relationship between supercooling stability and metabolic rate reduction.
- To develop a framework for optimizing supercooled biopreservation protocols.
Main Methods:
- Application of a statistical model for stochastic ice nucleation.
- Development of a quantitative approach to balance supercooling stability and metabolic reduction.
- Analysis of the stability-metabolism relationship across different system sizes and nucleation modes.
Main Results:
- Demonstrated inherent relationship between metabolic rate reduction and supercooling stability.
- Established a quantitative method for weighing preservation stability against metabolic benefits.
- Showed how system size influences the stability-metabolism trade-off.
Conclusions:
- Presents a generalizable framework for designing supercooled biopreservation protocols.
- Integrates phase transformation kinetics with biochemical/biophysical kinetics for informed protocol design.
- Provides a quantitative approach to optimize the balance between preservation stability and metabolic reduction.
