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Correlated percolation patterns in PEF damaged cellular material

2000/05/16 by N. I. Lebovka, Lebovka, N. I., M. I. Bazhal +3
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Biological sciences #FOS: Physical sciences #Quantitative Biology (q-bio) #Statistical Mechanics (cond-mat.stat-mech) #cond-mat.dis-nn #cond-mat.stat-mech #q-bio

paper · pdf · doi:10.48550/arxiv.cond-mat/0005252

RevTeX. For more information see, http://www.utc.fr/~nlebovka or http://www.utc.fr/~bazhalma

arxiv created 2000/05/16 · arxiv updated 2009/11/30

Abstract

We present results of numerical and experimental investigation of the electric breakage of a cellular material in pulsed electric fields (PEF). The numerical model simulates the conductive properties of a cellular material by a two-dimensional array of biological cells. The application of an external field in the form of the idealised square pulse sequence with a pulse duration ti, and a pulse repetition time Δt is assumed. The simulation model includes the known mechanisms of temporal and spatial evolution of the conductive properties of different microstructural elements in a tissue. The kinetics of breakage at different values of electric field strength E, ti and Δt was studied in experimental investigation. We propose the hypothesis for the nature of tissue properties evolution after PEF treatment and consider this phenomena as a correlated percolation, which is governed by two key processes: resealing of cells and moisture transfer processes inside the cellular structure. The breakage kinetics was shown to be very sensitive to the repetition times Δt of the PEF treatment. We observed correlated percolation patterns in a case when Δt exceeds the characteristic time of the processes of moisture transfer and random percolation patterns in other cases. The long-term mode of the pulse repetition times in PEF treatment allows us to visualize experimentally the macroscopic percolation channels in the sample.

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