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Related Experiment Videos

Theoretical prediction of 'optimal' freezing programmes.

H Woelders1, A Chaveiro

  • 1Animal Sciences Group, Wageningen UR, Division of Animal Resources Development, P.O. Box 65, 8200 AB, Lelystad, The Netherlands. henri.woelders@wur.nl

Cryobiology
|December 24, 2004
PubMed
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This study presents a new quantitative model for cell freezing, maximizing intracellular supercooling to prevent ice damage while optimizing cooling rates. This approach minimizes osmotic and cryoprotectant gradients, crucial for effective cryopreservation.

Area of Science:

  • Cellular cryobiology
  • Biophysics of freezing
  • Membrane transport phenomena

Background:

  • Cellular freezing requires careful control of cooling rates to prevent intracellular ice formation and osmotic damage.
  • Existing models often presuppose cooling rates, limiting their applicability to diverse cryopreservation scenarios.

Purpose of the Study:

  • To develop a quantitative description of cell osmotic behavior during freezing that maximizes intracellular supercooling without a fixed cooling rate.
  • To establish a framework for predicting optimal non-linear cooling curves that balance minimizing slow cooling damage and preventing fast cooling damage.

Main Methods:

  • Developed a model based on maximizing intracellular supercooling to a predetermined limit (p).
  • Derived equations for non-linear cooling curves based on constant supercooling.

Related Experiment Videos

  • Performed simulations of osmotic events during freezing with and without permeant solutes.

    • Main Results:

    • The model generates optimal, non-linear cooling curves by dynamically adjusting the cooling rate.
    • Simulations demonstrate the influence of medium composition, membrane permeability (water and CPA), and cell osmotic properties on the predicted optimal freezing curve.
    • The approach effectively limits osmotic and cryoprotectant gradients, minimizing transmembrane fluxes.

    Conclusions:

    • The developed quantitative description provides a method to predict optimal freezing curves for cryopreservation.
    • This model accounts for intracellular supercooling, osmotic behavior, and cryoprotectant dynamics, offering a more versatile approach than fixed-rate methods.
    • Understanding these parameters is essential for optimizing cryopreservation protocols for various cell types and conditions.