Tracking protein electrodenaturation fronts in the electrochemical treatment of tumors
Electrochemical reactions in the electrochemical treatment of tumors (EChT) induce extreme pH changes and, consequently, protein electrodenaturation fronts intimately related to tumor destruction. Here we introduce a new in vitro EChT collagen-macronutrient gel (CMG) model to study protein electrode...
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13882481_v12_n1_p94_Olaiz http://hdl.handle.net/20.500.12110/paper_13882481_v12_n1_p94_Olaiz |
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paper:paper_13882481_v12_n1_p94_Olaiz2023-06-08T16:13:03Z Tracking protein electrodenaturation fronts in the electrochemical treatment of tumors Suárez, Cecilia Ana Molina, Fernando Victor Electrochemical treatment Electrodenaturation In vitro models Tumors Accurate prediction Diffusion-controlled regime Electrochemical reactions Electrochemical treatments Electrodenaturation Front tracking Healthy tissues In-silico In-vitro In-vivo pH change Tissue destruction Grinding machines Oncology Proteins Tumors Electrochemical reactions in the electrochemical treatment of tumors (EChT) induce extreme pH changes and, consequently, protein electrodenaturation fronts intimately related to tumor destruction. Here we introduce a new in vitro EChT collagen-macronutrient gel (CMG) model to study protein electrodenaturation fronts as a mean of assessing EChT effectiveness. Our CMG model shows that from an initial uniform condition two electrodenaturation fronts evolve expanding towards each other until collision. Moreover, electrodenaturation front tracking reveals that the front grows under a diffusion-controlled regime. Based on this evidence it is possible, in principle, to predict the time needed for tumor destruction without compromising healthy tissue. These results are consistent with those previously obtained with in vivo and in vitro EChT modeling. In contrast to previous simpler in vitro models, our CMG model represents a better structural and chemical approximation to a real tissue thus providing a better tool for validation of new in silico EChT models aimed at a more accurate prediction of tissue destruction level. © 2009 Elsevier B.V. All rights reserved. Fil:Suárez, C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Molina, F. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2010 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13882481_v12_n1_p94_Olaiz http://hdl.handle.net/20.500.12110/paper_13882481_v12_n1_p94_Olaiz |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Electrochemical treatment Electrodenaturation In vitro models Tumors Accurate prediction Diffusion-controlled regime Electrochemical reactions Electrochemical treatments Electrodenaturation Front tracking Healthy tissues In-silico In-vitro In-vivo pH change Tissue destruction Grinding machines Oncology Proteins Tumors |
spellingShingle |
Electrochemical treatment Electrodenaturation In vitro models Tumors Accurate prediction Diffusion-controlled regime Electrochemical reactions Electrochemical treatments Electrodenaturation Front tracking Healthy tissues In-silico In-vitro In-vivo pH change Tissue destruction Grinding machines Oncology Proteins Tumors Suárez, Cecilia Ana Molina, Fernando Victor Tracking protein electrodenaturation fronts in the electrochemical treatment of tumors |
topic_facet |
Electrochemical treatment Electrodenaturation In vitro models Tumors Accurate prediction Diffusion-controlled regime Electrochemical reactions Electrochemical treatments Electrodenaturation Front tracking Healthy tissues In-silico In-vitro In-vivo pH change Tissue destruction Grinding machines Oncology Proteins Tumors |
description |
Electrochemical reactions in the electrochemical treatment of tumors (EChT) induce extreme pH changes and, consequently, protein electrodenaturation fronts intimately related to tumor destruction. Here we introduce a new in vitro EChT collagen-macronutrient gel (CMG) model to study protein electrodenaturation fronts as a mean of assessing EChT effectiveness. Our CMG model shows that from an initial uniform condition two electrodenaturation fronts evolve expanding towards each other until collision. Moreover, electrodenaturation front tracking reveals that the front grows under a diffusion-controlled regime. Based on this evidence it is possible, in principle, to predict the time needed for tumor destruction without compromising healthy tissue. These results are consistent with those previously obtained with in vivo and in vitro EChT modeling. In contrast to previous simpler in vitro models, our CMG model represents a better structural and chemical approximation to a real tissue thus providing a better tool for validation of new in silico EChT models aimed at a more accurate prediction of tissue destruction level. © 2009 Elsevier B.V. All rights reserved. |
author |
Suárez, Cecilia Ana Molina, Fernando Victor |
author_facet |
Suárez, Cecilia Ana Molina, Fernando Victor |
author_sort |
Suárez, Cecilia Ana |
title |
Tracking protein electrodenaturation fronts in the electrochemical treatment of tumors |
title_short |
Tracking protein electrodenaturation fronts in the electrochemical treatment of tumors |
title_full |
Tracking protein electrodenaturation fronts in the electrochemical treatment of tumors |
title_fullStr |
Tracking protein electrodenaturation fronts in the electrochemical treatment of tumors |
title_full_unstemmed |
Tracking protein electrodenaturation fronts in the electrochemical treatment of tumors |
title_sort |
tracking protein electrodenaturation fronts in the electrochemical treatment of tumors |
publishDate |
2010 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13882481_v12_n1_p94_Olaiz http://hdl.handle.net/20.500.12110/paper_13882481_v12_n1_p94_Olaiz |
work_keys_str_mv |
AT suarezceciliaana trackingproteinelectrodenaturationfrontsintheelectrochemicaltreatmentoftumors AT molinafernandovictor trackingproteinelectrodenaturationfrontsintheelectrochemicaltreatmentoftumors |
_version_ |
1768545107952271360 |