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Finite Element Evaluation of the Electric Field Distribution in a Non-Homogeneous Environment

Finite element analysis is used in this study to investigate the effect of media inhomogeneity on the electric field distribution in a sample composed of cells and their extracellular matrix. The sample is supposed to be subjected to very high pulsed electric field. Numerically computed electric fie...

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Autores principales: Sieni, Elisabetta, Dettin, Monica, Zamuner, Annj, Conconi, Maria Teresa, Bazzolo, Bianca, Balducci, Cristian, Di Barba, Paolo, Forzan, Michele, Lamberti, Patrizia, Mognaschi, Maria Evelina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525744/
https://www.ncbi.nlm.nih.gov/pubmed/37760163
http://dx.doi.org/10.3390/bioengineering10091062
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author Sieni, Elisabetta
Dettin, Monica
Zamuner, Annj
Conconi, Maria Teresa
Bazzolo, Bianca
Balducci, Cristian
Di Barba, Paolo
Forzan, Michele
Lamberti, Patrizia
Mognaschi, Maria Evelina
author_facet Sieni, Elisabetta
Dettin, Monica
Zamuner, Annj
Conconi, Maria Teresa
Bazzolo, Bianca
Balducci, Cristian
Di Barba, Paolo
Forzan, Michele
Lamberti, Patrizia
Mognaschi, Maria Evelina
author_sort Sieni, Elisabetta
collection PubMed
description Finite element analysis is used in this study to investigate the effect of media inhomogeneity on the electric field distribution in a sample composed of cells and their extracellular matrix. The sample is supposed to be subjected to very high pulsed electric field. Numerically computed electric field distribution and transmembrane potential at the cell membrane in electroporation conditions are considered in order to study cell behavior at different degrees of inhomogeneity. The different inhomogeneity grade is locally obtained using a representative model of fixed volume with cell–cell distance varying in the range of 1–283 um. The conductivity of the extracellular medium was varied between plain collagen and a gel-like myxoid matrix through combinations of the two, i.e., collagen and myxoid. An increase in the transmembrane potential was shown in the case of higher aggregate. The results obtained in this study show the effect of the presence of the cell aggregates and collagen on the transmembrane potential. In particular, by increasing the cell aggregation in the two cases, the transmembrane potential increased. Finally, the simulation results were compared to experimental data obtained by culturing HCC1954 cells in a hyaluronic acid-based scaffold. The experimental validation confirmed the behavior of the transmembrane potential in presence of the collagen: an increase in electroporation at a lower electric field intensity was found for the cells cultured in the scaffolds where there is the formation of collagen areas.
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spelling pubmed-105257442023-09-28 Finite Element Evaluation of the Electric Field Distribution in a Non-Homogeneous Environment Sieni, Elisabetta Dettin, Monica Zamuner, Annj Conconi, Maria Teresa Bazzolo, Bianca Balducci, Cristian Di Barba, Paolo Forzan, Michele Lamberti, Patrizia Mognaschi, Maria Evelina Bioengineering (Basel) Article Finite element analysis is used in this study to investigate the effect of media inhomogeneity on the electric field distribution in a sample composed of cells and their extracellular matrix. The sample is supposed to be subjected to very high pulsed electric field. Numerically computed electric field distribution and transmembrane potential at the cell membrane in electroporation conditions are considered in order to study cell behavior at different degrees of inhomogeneity. The different inhomogeneity grade is locally obtained using a representative model of fixed volume with cell–cell distance varying in the range of 1–283 um. The conductivity of the extracellular medium was varied between plain collagen and a gel-like myxoid matrix through combinations of the two, i.e., collagen and myxoid. An increase in the transmembrane potential was shown in the case of higher aggregate. The results obtained in this study show the effect of the presence of the cell aggregates and collagen on the transmembrane potential. In particular, by increasing the cell aggregation in the two cases, the transmembrane potential increased. Finally, the simulation results were compared to experimental data obtained by culturing HCC1954 cells in a hyaluronic acid-based scaffold. The experimental validation confirmed the behavior of the transmembrane potential in presence of the collagen: an increase in electroporation at a lower electric field intensity was found for the cells cultured in the scaffolds where there is the formation of collagen areas. MDPI 2023-09-08 /pmc/articles/PMC10525744/ /pubmed/37760163 http://dx.doi.org/10.3390/bioengineering10091062 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sieni, Elisabetta
Dettin, Monica
Zamuner, Annj
Conconi, Maria Teresa
Bazzolo, Bianca
Balducci, Cristian
Di Barba, Paolo
Forzan, Michele
Lamberti, Patrizia
Mognaschi, Maria Evelina
Finite Element Evaluation of the Electric Field Distribution in a Non-Homogeneous Environment
title Finite Element Evaluation of the Electric Field Distribution in a Non-Homogeneous Environment
title_full Finite Element Evaluation of the Electric Field Distribution in a Non-Homogeneous Environment
title_fullStr Finite Element Evaluation of the Electric Field Distribution in a Non-Homogeneous Environment
title_full_unstemmed Finite Element Evaluation of the Electric Field Distribution in a Non-Homogeneous Environment
title_short Finite Element Evaluation of the Electric Field Distribution in a Non-Homogeneous Environment
title_sort finite element evaluation of the electric field distribution in a non-homogeneous environment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525744/
https://www.ncbi.nlm.nih.gov/pubmed/37760163
http://dx.doi.org/10.3390/bioengineering10091062
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