Literature DB >> 9917344

Membrane permeability modeling: Kedem-Katchalsky vs a two-parameter formalism.

F W Kleinhans1.   

Abstract

The analysis of experiments for the purpose of determining cell membrane permeability parameters is often done using the Kedem-Katchalsky (KK) formalism (1958). In this formalism, three parameters, the hydraulic conductivity (Lp), the solute permeability (Ps), and a reflection coefficient (final sigma), are used to characterize the membrane. Sigma was introduced to characterize flux interactions when water and solute (cryoprotectant) cross the membrane through a common channel. However, the recent discovery and characterization of water channels (aquaporins) in biological membranes reveals that aquaporins are highly selective for water and do not typically cotransport cryoprotectants. In this circumstance, sigma is a superfluous parameter, as pointed out by Kedem and Katchalsky. When sigma is unneeded, a two-parameter model (2P) utilizing only Lp and Ps is sufficient, simpler to implement, and less prone to spurious results. In this paper we demonstrate that the 2P and KK formalism yield essentially the same result (Lp and Ps) when cotransporting channels are absent. This demonstration is accomplished using simulation techniques to compare the transport response of a model cell using a KK or 2P formalism. Sigma is often misunderstood, even when its use is appropriate. It is discussed extensively here and several simulations are used to illustrate and clarify its meaning. We also discuss the phenomenological nature of transport parameters in many experiments, especially when both bilayer and channel transport are present. Copyright 1998 Academic Press.

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Year:  1998        PMID: 9917344     DOI: 10.1006/cryo.1998.2135

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


  55 in total

1.  Mathematical modeling of cryoprotectant addition and removal for the cryopreservation of engineered or natural tissues.

Authors:  Alison Lawson; Indra Neil Mukherjee; Athanassios Sambanis
Journal:  Cryobiology       Date:  2011-11-28       Impact factor: 2.487

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3.  An Application of Stream Imaging Technique in the Study of Osmotic Behaviors of Multiple Cells.

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4.  A general model for the dynamics of cell volume, global stability, and optimal control.

Authors:  James D Benson; Carmen C Chicone; John K Critser
Journal:  J Math Biol       Date:  2010-11-10       Impact factor: 2.259

5.  A mixture theory analysis for passive transport in osmotic loading of cells.

Authors:  Gerard A Ateshian; Morakot Likhitpanichkul; Clark T Hung
Journal:  J Biomech       Date:  2006       Impact factor: 2.712

6.  Osmotic loading of spherical gels: a biomimetic study of hindered transport in the cell protoplasm.

Authors:  Michael B Albro; Nadeen O Chahine; Matteo Caligaris; Victoria I Wei; Morakot Likhitpanichkul; Kenneth W Ng; Clark T Hung; Gerard A Ateshian
Journal:  J Biomech Eng       Date:  2007-08       Impact factor: 2.097

7.  Osmotic transport across cell membranes in nondilute solutions: a new nondilute solute transport equation.

Authors:  Heidi Y Elmoazzen; Janet A W Elliott; Locksley E McGann
Journal:  Biophys J       Date:  2009-04-08       Impact factor: 4.033

8.  Optimization of cryoprotectant loading into murine and human oocytes.

Authors:  Jens O M Karlsson; Edyta A Szurek; Adam Z Higgins; Sang R Lee; Ali Eroglu
Journal:  Cryobiology       Date:  2013-11-15       Impact factor: 2.487

Review 9.  Multi-scale heat and mass transfer modelling of cell and tissue cryopreservation.

Authors:  Feng Xu; Sangjun Moon; Xiaohui Zhang; Lei Shao; Young Seok Song; Utkan Demirci
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2010-02-13       Impact factor: 4.226

Review 10.  A biologist's view of the relevance of thermodynamics and physical chemistry to cryobiology.

Authors:  Peter Mazur
Journal:  Cryobiology       Date:  2009-12-04       Impact factor: 2.487

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