Literature DB >> 15971707

A simplified procedure to determine the optimal rate of freezing biological systems.

Sreedhar Thirumala1, Ram V Devireddy.   

Abstract

The effect of several cell-level parameters on the predicted optimal cooling rate B(opt) of an arbitrary biological system has been studied using a well-defined water transport model. An extensive investigation of the water transport model revealed three key cell level parameters: reference permeability of the membrane to water L(pg), apparent activation energy E(Lp), and the ratio of the available surface area for water transport to the initial volume of intracellular water (SA/WV). We defined B(opt) as the "highest" cooling rate at which a predefined percent of the initial water volume is trapped inside the cell (values ranging from 5% to 80%) at a predefined end temperature (values ranging from -5 degrees C to -40 degrees C). Irrespective of the choice of the percent of initial water volume trapped and the end temperature, an exact and linear relationship exists between L(pg), SA/WV, and B(opt0. However, a nonlinear and inverse relationship is found between E(Lp) and B(opt). Remarkably, for a variety of biological systems a comparison of the published experimentally determined values of B(opt) agreed quite closely with numerically predicted B(opt) values when the model assumed 5% of initial water is trapped inside the cell at a temperature of -15 degrees C. This close agreement between the experimental and model predicted optimal cooling rates is used to develop a generic optimal cooling rate chart and a generic optimal cooling rate equation that greatly simplifies the prediction of the optimal rate of freezing of biological systems.

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Year:  2005        PMID: 15971707     DOI: 10.1115/1.1865213

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  5 in total

1.  Subzero water permeability parameters and optimal freezing rates for sperm cells of the southern platyfish, Xiphophorus maculatus.

Authors:  D Pinisetty; C Huang; Q Dong; T R Tiersch; R V Devireddy
Journal:  Cryobiology       Date:  2005-06       Impact factor: 2.487

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.  Engineering complex tissues.

Authors:  Antonios G Mikos; Susan W Herring; Pannee Ochareon; Jennifer Elisseeff; Helen H Lu; Rita Kandel; Frederick J Schoen; Mehmet Toner; David Mooney; Anthony Atala; Mark E Van Dyke; David Kaplan; Gordana Vunjak-Novakovic
Journal:  Tissue Eng       Date:  2006-12

4.  Non-ideal solution thermodynamics of cytoplasm.

Authors:  Lisa U Ross-Rodriguez; Janet A W Elliott; Locksley E McGann
Journal:  Biopreserv Biobank       Date:  2012-10       Impact factor: 2.300

5.  Slow freezing coupled static magnetic field exposure enhances cryopreservative efficiency--a study on human erythrocytes.

Authors:  Chun-Yen Lin; Po-Li Wei; Wei-Jen Chang; Yung-Kai Huang; Sheng-Wei Feng; Che-Tong Lin; Sheng-Yang Lee; Haw-Ming Huang
Journal:  PLoS One       Date:  2013-03-08       Impact factor: 3.240

  5 in total

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