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Evaluation of an electrochemical model of erythrocyte pH buffering using 31P nuclear magnetic resonance data

When erythrocytes are suspended in a solution of known composition the resultant values of such basic cell parameters as volume and pH are difficult to predict. To facilitate such predictions, we developed a mathematical model describing the passive transmembrane distribution of permeant species; th...

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Formato: Texto
Lenguaje:English
Publicado: The Rockefeller University Press 1990
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2216354/
https://www.ncbi.nlm.nih.gov/pubmed/2374002
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collection PubMed
description When erythrocytes are suspended in a solution of known composition the resultant values of such basic cell parameters as volume and pH are difficult to predict. To facilitate such predictions, we developed a mathematical model describing the passive transmembrane distribution of permeant species; three simultaneous equations were produced. Certain essential data required for the model were determined experimentally; these included the pH dependence of the charge on the hemoglobin molecule and the variation of the osmotic coefficient of hemoglobin with cell volume. Finally, cells were added to various solutions, and then titrated to produce a wide pH range (pH 6-8). We measured the resultant cell volume, cellular and extracellular pH using both conventional and 31P NMR methods. The expected equilibrium values of these electrochemical parameters were also calculated by solving (numerically) the three model equations. The accuracy of the model simulations was evaluated by direct comparison of calculated and experimentally determined values.
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spelling pubmed-22163542008-04-23 Evaluation of an electrochemical model of erythrocyte pH buffering using 31P nuclear magnetic resonance data J Gen Physiol Articles When erythrocytes are suspended in a solution of known composition the resultant values of such basic cell parameters as volume and pH are difficult to predict. To facilitate such predictions, we developed a mathematical model describing the passive transmembrane distribution of permeant species; three simultaneous equations were produced. Certain essential data required for the model were determined experimentally; these included the pH dependence of the charge on the hemoglobin molecule and the variation of the osmotic coefficient of hemoglobin with cell volume. Finally, cells were added to various solutions, and then titrated to produce a wide pH range (pH 6-8). We measured the resultant cell volume, cellular and extracellular pH using both conventional and 31P NMR methods. The expected equilibrium values of these electrochemical parameters were also calculated by solving (numerically) the three model equations. The accuracy of the model simulations was evaluated by direct comparison of calculated and experimentally determined values. The Rockefeller University Press 1990-06-01 /pmc/articles/PMC2216354/ /pubmed/2374002 Text en This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 Unported license, as described at http://creativecommons.org/licenses/by-nc-sa/4.0/).
spellingShingle Articles
Evaluation of an electrochemical model of erythrocyte pH buffering using 31P nuclear magnetic resonance data
title Evaluation of an electrochemical model of erythrocyte pH buffering using 31P nuclear magnetic resonance data
title_full Evaluation of an electrochemical model of erythrocyte pH buffering using 31P nuclear magnetic resonance data
title_fullStr Evaluation of an electrochemical model of erythrocyte pH buffering using 31P nuclear magnetic resonance data
title_full_unstemmed Evaluation of an electrochemical model of erythrocyte pH buffering using 31P nuclear magnetic resonance data
title_short Evaluation of an electrochemical model of erythrocyte pH buffering using 31P nuclear magnetic resonance data
title_sort evaluation of an electrochemical model of erythrocyte ph buffering using 31p nuclear magnetic resonance data
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2216354/
https://www.ncbi.nlm.nih.gov/pubmed/2374002