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Plant Tissue Modelling Using Power-Law Filters.

Samar I Gadallah1, Mohamed S Ghoneim2, Ahmed S Elwakil3,4

  • 1Nanoelectronics Integrated Systems Center (NISC), Nile University, Giza 12588, Egypt.

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|August 12, 2022
PubMed
Summary
This summary is machine-generated.

This study explores using power-law filters for modeling plant tissue bio-impedance. A specific circuit model combining two filters demonstrated the lowest fitting error for fruit impedance data.

Keywords:
bio-impedancefractional-order circuitsoptimizationpower-law filters

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Area of Science:

  • Electrical Engineering
  • Biophysics
  • Food Science

Background:

  • Impedance spectroscopy is vital for non-invasively assessing biochemical and biophysical changes in plant tissues.
  • Modeling electrical behavior of biological tissues requires fitting bio-impedance data to appropriate circuit models.

Purpose of the Study:

  • To investigate the application of power-law filters in circuit modeling of plant tissue bio-impedance.
  • To evaluate the accuracy of proposed power-law filter models using experimental fruit data.

Main Methods:

  • Experimental impedance measurements were performed on eight fruit types using a Biologic SP150 electrochemical station.
  • A meta-heuristic optimization method, the Water Cycle Algorithm (WCA), was employed to fit proposed circuit models to the bio-impedance data.
  • Percentage error between actual and fitted impedance was calculated to assess model accuracy.

Main Results:

  • A circuit model incorporating a combination of two second-order power-law low-pass filters exhibited the minimal fitting error among the evaluated models.
  • The Water Cycle Algorithm effectively optimized the circuit model parameters for the experimental bio-impedance data.

Conclusions:

  • Power-law filters offer a promising approach for accurate bio-impedance circuit modeling in plant tissues.
  • The developed model provides a reliable method for non-invasive quality assessment of fruits based on electrical properties.