Multi-electrode architecture modeling and optimization for homogeneous electroporation of large volumes of tissue

López-Alonso, Borja (Universidad de Zaragoza) ; Sarnago, Héctor (Universidad de Zaragoza) ; Burdío, José Miguel (Universidad de Zaragoza) ; Briz, Pablo ; Lucía, Óscar (Universidad de Zaragoza)

Resumen: Electroporation is a phenomenon that consists of increasing the permeability of the cell membrane by means of high-intensity electric field application. Nowadays, its clinical application to cancer treatment is one of the most relevant branches within the many areas of electroporation. In this area, it is essential to apply homogeneous treatments to achieve complete removal of tumors and avoid relapse. It is necessary to apply an optimized transmembrane potential at each point of the tissue by means of a homogenous electric field application and appropriated electric field orientation. Nevertheless, biological tissues are composed of wide variety, heterogeneous and anisotropic structures and, consequently, predicting the applied electric field distribution is complex. Consequently, by applying the parallel-needle electrodes and single-output generators, homogeneous and predictable treatments are difficult to obtain, often requiring several repositioning/application processes that may leave untreated areas. This paper proposes the use of multi-electrode structure to apply a wide range of electric field vectors to enhance the homogeneity of the treatment. To achieve this aim, a new multi-electrode parallel-plate configuration is proposed to improve the treatment in combination with a multiple-output generator. One method for optimizing the electric field pattern application is studied, and simulation and experimental results are presented and discussed, proving the feasibility of the proposed approach.

Idioma: Inglés

DOI: 10.3390/en14071892

Año: 2021

Publicado en: Energies 14, 7 (2021), 1892 [16 pp.]
ISSN: 1996-1073

Factor impacto JCR: 3.252 (2021)

Categ. JCR: ENERGY & FUELS rank: 80 / 119 = 0.672 (2021) - Q3 - T3

Factor impacto CITESCORE: 5.0 - - -

Factor impacto SCIMAGO: 0.653 - Energy (miscellaneous) (Q1) - Energy Engineering and Power Technology (Q1) - Fuel Technology (Q1) - Control and Optimization (Q1) - Engineering (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MECD/FPU16-03765
Financiación: info:eu-repo/grantAgreement/ES/MICINN-AEI-FEDER/PID2019-103939RB-I00

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Tecnología Electrónica (Dpto. Ingeniería Electrón.Com.)