@article {209, title = {Modeling methods for treatment planning in overlapping electroporation treatments}, journal = {IEEE Transactions on Biomedical Engineering}, volume = {69}, year = {2022}, month = {09/2021}, pages = {1318 - 1327}, chapter = {1318}, doi = {10.1109/TBME.2021.3115029}, url = {https://ieeexplore.ieee.org/document/9547807}, author = {Enric Perera-Bel and Borja Mercadal and Tomas Garcia-Sanchez and Miguel A. Gonz{\'a}lez-Ballester and Antoni Ivorra} } @article {187, title = {Dynamics of Cell Death After Conventional IRE and H-FIRE Treatments}, journal = {Annals of Biomedical Engineering}, volume = {48}, year = {2020}, pages = {1451{\textendash}1462}, chapter = {pages1451}, doi = {10.1007/s10439-020-02462-8}, url = {https://doi.org/10.1007/s10439-020-02462-8}, author = {Borja Mercadal and Natalie Beitel-White and Kenneth N. Aycock and Q. Castellv{\'\i} and Rafael Davalos and Antoni Ivorra} } @article {198, title = {EView: An electric field visualization web platform for electroporation-based therapies}, journal = {Computer Methods and Programs in Biomedicine}, volume = {197}, year = {2020}, pages = {105682}, chapter = {105682}, doi = {10.1016/j.cmpb.2020.105682}, author = {Enric Perera-Bel and Carlos Yag{\"u}e and Borja Mercadal and Mario Ceresa and Natalie Beitel-White and Rafael Davalos and Miguel A. Gonz{\'a}lez-Ballester and Antoni Ivorra} } @article {185, title = {High-voltage pulsed electric field laboratory device with asymmetric voltage multiplier for marine macroalgae electroporation}, journal = {Innovative Food Science and Emerging Technologies}, volume = {(In press, Journal Pre-proof)}, year = {2020}, doi = {10.1016/j.ifset.2020.102288}, author = {Klimentiy Levkov and Yoav Linzon and Borja Mercadal and Antoni Ivorra and C{\'e}sar Gonz{\'a}lez and Alexander Golberg} } @article {188, title = {In vitro study on the mechanisms of action of electrolytic electroporation (E2)}, journal = {Bioelectrochemistry}, volume = {133}, year = {2020}, pages = {107482}, chapter = {107482}, doi = {10.1016/j.bioelechem.2020.107482}, url = {https://doi.org/10.1016/j.bioelechem.2020.107482}, author = {Nina Klein and Borja Mercadal and Michael Stehling and Antoni Ivorra} } @article {196, title = {Interleaved intramuscular stimulation with minimally overlapping electrodes evokes smooth and fatigue resistant forces}, journal = {Journal of Neural Engineering}, volume = {17}, year = {2020}, pages = {046037}, chapter = {046037}, doi = {10.1088/1741-2552/aba99e}, url = {https://doi.org/10.1088/1741-2552/aba99e}, author = {Ahmed Eladly and Jaume Del Valle and Jesus Minguillon and Borja Mercadal and Laura Becerra-Fajardo and Xavier Navarro and Antoni Ivorra} } @article {195, title = {Pulsed radiofrequency for chronic pain: in vitro evidence of an electroporation mediated calcium uptake}, journal = {Bioelectrochemistry}, volume = {136}, year = {2020}, pages = {107624}, chapter = {107624}, doi = {10.1016/j.bioelechem.2020.107624}, author = {Borja Mercadal and Rub{\'e}n Vicente and Antoni Ivorra} } @article {179, title = {Successful tumor Electrochemotherapy using Sine Waves}, journal = {IEEE Transactions on Biomedical Engineering}, volume = {67}, year = {2019}, pages = {1040-1049}, chapter = {1040}, doi = {10.1109/TBME.2019.2928645}, author = {Tomas Garcia-Sanchez and Borja Mercadal and Melanie Polrot and Adeline Muscat and H{\'e}ctor Sarnago and {\'O}scar Luc{\'\i}a and Lluis M. Mir} } @article {169, title = {Avoiding neuromuscular stimulation in liver irreversible electroporation using radiofrequency electric fields}, journal = {Physics in Medicine and Biology}, volume = {63}, year = {2018}, pages = {035027}, chapter = {035027}, doi = {10.1088/1361-6560/aaa16f}, author = {Q. Castellv{\'\i} and Borja Mercadal and Xavier Moll and Fontdevila, Dolors and Andaluz, Anna and Antoni Ivorra} } @article {159, title = {Effect of applied voltage, duration and repetition frequency of RF pulses for pain relief on temperature spikes and electrical field: A computer modeling study}, journal = {International Journal of Hyperthermia }, volume = {34}, year = {2018}, pages = {112-121}, chapter = {112}, doi = {10.1080/02656736.2017.1323122}, url = {http://dx.doi.org/10.1080/02656736.2017.1323122}, author = {El{\.z}bieta Ewertowska and Borja Mercadal and V{\'\i}ctor Mu{\~n}oz and Antoni Ivorra and Trujillo, Macarena and Berjano, Enrique} } @article {165, title = {Avoiding nerve stimulation in irreversible electroporation: a numerical modeling study}, journal = {Physics in Medicine and Biology}, volume = {62}, year = {2017}, pages = {8060-8079}, chapter = {8060}, doi = {https://doi.org/10.1088/1361-6560/aa8c53}, author = {Borja Mercadal and Christopher Arena and Rafael Davalos and Antoni Ivorra} } @inbook {155, title = {Assessment of Electroporation by Electrical Impedance Methods}, booktitle = {Handbook of Electroporation}, year = {2016}, pages = {1-20 (electronic)}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, abstract = {

Electroporation causes an immediate increase in cell membrane permeability that results in membrane conductivity increase, which has an effect in the measured impedance of the cell suspension or the tissue. Therefore, impedance measurements offer the possibility to perform real-time assessment of the electroporation phenomenon in a minimally invasive fashion. Nevertheless, impedance measurements in biological organisms depend on many factors and other processes besides the membrane permeabilization. This lack of specificity can be an important drawback for using impedance measurements as an electroporation measure. An equivalent electrical model of cell suspensions and tissues is commonly employed to better understand how the different processes that take place during electroporation can affect the measured impedance of a sample. This chapter briefly overviews the information that can be extracted from impedance measurements during and after the application of electroporation pulses. These measurements have been widely used to observe and analyze the dynamics of the phenomenon. Impedance has the potential to be used as a tool to assess electroporation effectiveness of treatment. A significant conclusion from the experimental studies on the topic is that conductivity measured shortly after treatment appears to be correlated with electroporation effectiveness in terms of cell membrane permeabilization. That is, it has the potential to be used as an electroporation effectiveness indicator. On the other hand, dynamic conductivity during the electroporation pulses, which is much easier to be measured, does not seem to be correlated with electroporation effectiveness.

}, issn = {978-3-319-26779-1}, doi = {10.1007/978-3-319-26779-1_164-1}, author = {Q. Castellv{\'\i} and Borja Mercadal and Antoni Ivorra} } @article {151, title = {Dependence of electroporation detection threshold on cell radius: an explanation to observations non compatible with Schwan{\textquoteright}s equation model}, journal = {Journal of Membrane Biology}, volume = {249}, year = {2016}, pages = {663-676}, chapter = {663}, abstract = {

It is widely accepted that electroporation occurs when the cell transmembrane voltage induced by an external applied electric field reaches a threshold. Under this assumption, in order to trigger electroporation in a spherical cell, Schwan{\textquoteright}s equation leads to an inversely proportional relationship between the cell radius and the minimum magnitude of the applied electric field. And, indeed, several publications report experimental evidences of an inverse relationship between the cell size and the field required to achieve electroporation. However, this dependence is not always observed or is not as steep as predicted by Schwan{\textquoteright}s equation. The present numerical study attempts to explain these observations that do not fit Schwan{\textquoteright}s equation on the basis of the interplay between cell membrane conductivity, permeability and transmembrane voltage. For that, a single cell in suspension was modeled and it was determined the electric field necessary to achieve electroporation with a single pulse according to two effectiveness criteria: a specific permeabilization level, understood as the relative area occupied by the pores during the pulse, and a final intracellular concentration of a molecule due to uptake by diffusion after the pulse, during membrane resealing. The results indicate that plausible model parameters can lead to divergent dependencies of the electric field threshold on the cell radius. These divergent dependencies were obtained through both criteria and using two different permeabilization models. This suggests that the interplay between cell membrane conductivity, permeability and transmembrane voltage might be the cause of results which are non compatible with the Schwan{\textquoteright}s equation model.\ 

}, author = {Borja Mercadal and P. Thomas Vernier and Antoni Ivorra} }