Literature DB >> 33910115

A thermodynamic scaling law for electrically perturbed lipid membranes: Validation with steepest entropy ascent framework.

Ishan Goswami1, Robert Bielitz2, Scott S Verbridge2, Michael R von Spakovsky3.   

Abstract

Experimental evidence has demonstrated the ability of transient pulses of electric fields to alter mammalian cell behavior. Strategies with these pulsed electric fields (PEFs) have been developed for clinical applications in cancer therapeutics, in-vivo decellularization, and tissue regeneration. Successful implementation of these strategies involve understanding how PEFs impact the cellular structures and, hence, cell behavior. The caveat, however, is that the PEF parameter space (i.e., comprising different pulse widths, amplitudes, number of pulses) is large, and design of experiments to explore all possible combinations of pulse parameters is prohibitive from a cost and time standpoint. In this study, a scaling law based on the Ising model is introduced to understand the impact of PEFs on the outer cell lipid membrane so that an understanding developed in one PEF pulse regime may be extended to another. Combining non-Markovian Monte Carlo techniques to determine density-of-states with a novel non-equilibrium thermodynamic framework based on the principle of steepest entropy ascent, the applicability of this scaling model to predict the behavior of both thermally quenched and electrically perturbed lipid membranes is demonstrated. A comparison of the predictions made by the steepest-entropy-ascent quantum thermodynamic (SEAQT) framework to experimental data is performed to validate the robustness of this computational methodology and the resulting scaling law.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ising model; Lipid membrane; Pulsed electric fields; Steepest entropy ascent quantum thermodynamics; Thermodynamics

Year:  2021        PMID: 33910115     DOI: 10.1016/j.bioelechem.2021.107800

Source DB:  PubMed          Journal:  Bioelectrochemistry        ISSN: 1567-5394            Impact factor:   5.373


  1 in total

1.  Optimized Multiscale Entropy Model Based on Resting-State fMRI for Appraising Cognitive Performance in Healthy Elderly.

Authors:  Fan Yang; Fuyi Zhang; Abdelkader Nasreddine Belkacem; Chong Xie; Ying Wang; Shenghua Chen; Zekun Yang; Zibo Song; Manling Ge; Chao Chen
Journal:  Comput Math Methods Med       Date:  2022-06-07       Impact factor: 2.809

  1 in total

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