Literature DB >> 25240602

Foundations of modeling in cryobiology-I: concentration, Gibbs energy, and chemical potential relationships.

Daniel M Anderson1, James D Benson2, Anthony J Kearsley3.   

Abstract

Mathematical modeling plays an enormously important role in understanding the behavior of cells, tissues, and organs undergoing cryopreservation. Uses of these models range from explanation of phenomena, exploration of potential theories of damage or success, development of equipment, and refinement of optimal cryopreservation/cryoablation strategies. Over the last half century there has been a considerable amount of work in bio-heat and mass-transport, and these models and theories have been readily and repeatedly applied to cryobiology with much success. However, there are significant gaps between experimental and theoretical results that suggest missing links in models. One source for these potential gaps is that cryobiology is at the intersection of several very challenging aspects of transport theory: it couples multi-component, moving boundary, multiphase solutions that interact through a semipermeable elastic membrane with multicomponent solutions in a second time-varying domain, during a two-hundred Kelvin temperature change with multi-molar concentration gradients and multi-atmosphere pressure changes. In order to better identify potential sources of error, and to point to future directions in modeling and experimental research, we present a three part series to build from first principles a theory of coupled heat and mass transport in cryobiological systems accounting for all of these effects. The hope of this series is that by presenting and justifying all steps, conclusions may be made about the importance of key assumptions, perhaps pointing to areas of future research or model development, but importantly, lending weight to standard simplification arguments that are often made in heat and mass transport. In this first part, we review concentration variable relationships, their impact on choices for Gibbs energy models, and their impact on chemical potentials.
Copyright © 2014 Elsevier Inc. All rights reserved.

Keywords:  Chemical potential gradient; Diffusion; Gibbs free energy; Solidification; Transport

Mesh:

Substances:

Year:  2014        PMID: 25240602     DOI: 10.1016/j.cryobiol.2014.09.004

Source DB:  PubMed          Journal:  Cryobiology        ISSN: 0011-2240            Impact factor:   2.487


  4 in total

1.  Mathematical Modeling and Optimization of Cryopreservation in Single Cells.

Authors:  James D Benson
Journal:  Methods Mol Biol       Date:  2021

2.  Foundations of modeling in cryobiology-III: Inward solidification of a ternary solution towards a permeable spherical cell in the dilute limit.

Authors:  Daniel M Anderson; James D Benson; Anthony J Kearsley
Journal:  Cryobiology       Date:  2019-10-08       Impact factor: 2.487

Review 3.  Foundations of modeling in cryobiology-II: Heat and mass transport in bulk and at cell membrane and ice-liquid interfaces.

Authors:  Daniel M Anderson; James D Benson; Anthony J Kearsley
Journal:  Cryobiology       Date:  2019-10-04       Impact factor: 2.487

4.  A toxicity cost function approach to optimal CPA equilibration in tissues.

Authors:  James D Benson; Adam Z Higgins; Kunjan Desai; Ali Eroglu
Journal:  Cryobiology       Date:  2017-09-28       Impact factor: 2.487

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.