Literature DB >> 9285340

Measurement and simulation of water transport during freezing in mammalian liver tissue.

P V Pazhayannur1, J C Bischof.   

Abstract

Optimization of cryosurgical procedures on deep tissues such as liver requires an increased understanding of the fundamental mechanisms of ice formation and water transport in tissues during freezing. In order to further investigate and quantify the amount of water transport that occurs during freezing in tissue, this study reports quantitative and dynamic experimental data and theoretical modeling of rat liver freezing under controlled conditions. The rat liver was frozen by one of four methods of cooling: Method 1-ultrarapid "slam cooling" (> or = 1000 degrees C/min) for control samples; Method 2-equilibrium freezing achieved by equilibrating tissue at different subzero temperatures (-4, -6, -8, -10 degrees C); Method 3-two-step freezing, which involves cooling at 5 degrees C/min. to -4, -6, -8, -10 or -20 degrees C followed immediately by slam cooling; or Method 4-constant and controlled freezing at rates from 5-400 degrees C/min. on a directional cooling stage. After freezing, the tissue was freeze substituted, embedded in resin, sectioned, stained, and imaged under a light microscope fitted with a digitizing system. Image analysis techniques were then used to determine the relative cellular to extracellular volumes of the tissue. The osmotically inactive cell volume was determined to be 0.35 by constructing a Boyle van't Hoff plot using cellular volumes from Method 2. The dynamic volume of the rat liver cells during cooling was obtained using cellular volumes from Method 3 (two-step freezing at 5 degrees C/min). A nonlinear regression fit of a Krogh cylinder model to the volumetric shrinkage data in Method 3 yielded the biophysical parameters of water transport in rat liver tissue of: Lpg = 3.1 x 10(-13) m3/Ns (1.86 microns/min-atm) and ELp = 290 kJ/mole (69.3 kcal/mole), with chi-squared variance of 0.00124. These parameters were then incorporated into the Krogh cylinder model and used to simulate water transport in rat liver tissue during constant cooling at rates between 5-100 degrees C/min. Reasonable agreement between these simulations and the constant cooling rate freezing experiments in Method 4 were obtained. The model predicts that the water transport ceases at a relatively high subzero temperature (-10 degrees C), such that the amount of intracellular ice forming in the tissue cells rises from almost none (= extensive dehydration and vascular expansion) at < or = 5 degrees C/min to over 88 percent of the original cellular water at > or = 50 degrees C/min. The theoretical simulations based on these experimental methods may be of use in visualizing and predicting freezing response, and thus can assist in the planning and implementing of cryosurgical protocols.

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Year:  1997        PMID: 9285340     DOI: 10.1115/1.2796091

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


  8 in total

1.  Spatiotemporal measurement of freezing-induced deformation of engineered tissues.

Authors:  Ka Yaw Teo; J Craig Dutton; Bumsoo Han
Journal:  J Biomech Eng       Date:  2010-03       Impact factor: 2.097

2.  Numerical Simulation of Local Temperature Distortions During Ice Nucleation of Cells in Suspension.

Authors:  D Kandra; R V Devireddy
Journal:  Int J Heat Mass Transf       Date:  2008-11       Impact factor: 5.584

3.  Ice-Templated Protein Nanoridges Induce Bone Tissue Formation.

Authors:  Mingying Yang; Yajun Shuai; Kegan S Sunderland; Chuanbin Mao
Journal:  Adv Funct Mater       Date:  2017-10-05       Impact factor: 18.808

4.  Effects of freezing-induced cell-fluid-matrix interactions on the cells and extracellular matrix of engineered tissues.

Authors:  Ka Yaw Teo; Tenok O DeHoyos; J Craig Dutton; Frederick Grinnell; Bumsoo Han
Journal:  Biomaterials       Date:  2011-05-05       Impact factor: 12.479

5.  Thermomechanical analysis of freezing-induced cell-fluid-matrix interactions in engineered tissues.

Authors:  Bumsoo Han; Ka Yaw Teo; Soham Ghosh; J Craig Dutton; Frederick Grinnell
Journal:  J Mech Behav Biomed Mater       Date:  2012-11-10

6.  Role of cells in freezing-induced cell-fluid-matrix interactions within engineered tissues.

Authors:  Angela Seawright; Altug Ozcelikkale; Craig Dutton; Bumsoo Han
Journal:  J Biomech Eng       Date:  2013-09       Impact factor: 2.097

7.  Freezing-induced fluid-matrix interaction in poroelastic material.

Authors:  Bumsoo Han; Jeffrey D Miller; Jun K Jung
Journal:  J Biomech Eng       Date:  2009-02       Impact factor: 2.097

8.  BIOPRESERVATION: HEAT/MASS TRANSFER CHALLENGES AND BIOCHEMICAL/GENETIC ADAPTATIONS IN BIOLOGICAL SYSTEMS.

Authors:  Ram V Devireddy
Journal:  Heat Transf Res       Date:  2013       Impact factor: 2.443

  8 in total

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