Modeling Electroporation Dynamics in Liposomes and Cells Exposed to Nanosecond Pulsed Electric Fields for Optimized Drug Delivery

Nanosecond pulsed electric fields (nsPEFs) are widely used to induce electroporation in biological membranes, enabling drug delivery applications. This work presents a multiphysics numerical study to analyze the electroporation dynamics of liposomes and a single cell exposed to nsPEFs, comparing in vitro conditions with a tissue-embedded scenario. The results highlight the influence of tissue properties on TMP evolution and membrane poration, emphasizing the need for more detailed predictive models to optimize nsPEF-based drug delivery. Developing accurate simulations enables fine-tuning of PEF parameters to maximize therapeutic efficacy while minimizing unwanted effects.

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Published
2025-09-08
DOI
https://doi.org/10.1109/iceaa65662.2025.11305828
Primary Topic
Microbial Inactivation Methods
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article
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article

Modeling Electroporation Dynamics in Liposomes and Cells Exposed to Nanosecond Pulsed Electric Fields for Optimized Drug Delivery

Laura Caramazza, Giulia Risca, Micaela Liberti, Carmen Pisano et al.
Microbial Inactivation Methods
article

Modeling Electroporation Dynamics in Liposomes and Cells Exposed to Nanosecond Pulsed Electric Fields for Optimized Drug Delivery

Laura Caramazza, Giulia Risca, Micaela Liberti, Carmen Pisano, Francesca Apollonio, Vittoria Isoldi, Alessandra Paffi
article en

Abstract

Nanosecond pulsed electric fields (nsPEFs) are widely used to induce electroporation in biological membranes, enabling drug delivery applications. This work presents a multiphysics numerical study to analyze the electroporation dynamics of liposomes and a single cell exposed to nsPEFs, comparing in vitro conditions with a tissue-embedded scenario. The results highlight the influence of tissue properties on TMP evolution and membrane poration, emphasizing the need for more detailed predictive models to optimize nsPEF-based drug delivery. Developing accurate simulations enables fine-tuning of PEF parameters to maximize therapeutic efficacy while minimizing unwanted effects.

Sapienza University of Rome (IT)
Good health and well-being
Openalex Percentile: Top 31%
Microbial Inactivation Methods
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