Plant Tissue Modelling Using Power-Law Filters

Samar I. Gadallah; Mohamed S. Ghoneim; Ahmed S. Elwakil; Lobna A. Said; Ahmed H. Madian; Ahmed G. Radwan

doi:10.3390/s22155659

Plant Tissue Modelling Using Power-Law Filters

Samar I. Gadallah
, Mohamed S. Ghoneim
, Ahmed S. Elwakil
, Lobna A. Said
, Ahmed H. Madian
, Ahmed G. Radwan

University of Sharjah

Nile University
Egypt University of Informatics
University of Calgary
Egyptian Atomic Energy Authority
Cairo University

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Impedance spectroscopy has became an essential non-invasive tool for quality assessment measurements of the biochemical and biophysical changes in plant tissues. The electrical behaviour of biological tissues can be captured by fitting its bio-impedance data to a suitable circuit model. This paper investigates the use of power-law filters in circuit modelling of bio-impedance. The proposed models are fitted to experimental data obtained from eight different fruit types using a meta-heuristic optimization method (the Water Cycle Algorithm (WCA)). Impedance measurements are obtained using a Biologic SP150 electrochemical station, and the percentage error between the actual impedance and the fitted models’ impedance are reported. It is found that a circuit model consisting of a combination of two second-order power-law low-pass filters shows the least fitting error.

Original language	English
Article number	5659
Journal	Sensors
Volume	22
Issue number	15
DOIs	https://doi.org/10.3390/s22155659
State	Published - Aug 2022

Keywords

bio-impedance
fractional-order circuits
optimization
power-law filters

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10.3390/s22155659

Cite this

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title = "Plant Tissue Modelling Using Power-Law Filters",

abstract = "Impedance spectroscopy has became an essential non-invasive tool for quality assessment measurements of the biochemical and biophysical changes in plant tissues. The electrical behaviour of biological tissues can be captured by fitting its bio-impedance data to a suitable circuit model. This paper investigates the use of power-law filters in circuit modelling of bio-impedance. The proposed models are fitted to experimental data obtained from eight different fruit types using a meta-heuristic optimization method (the Water Cycle Algorithm (WCA)). Impedance measurements are obtained using a Biologic SP150 electrochemical station, and the percentage error between the actual impedance and the fitted models{\textquoteright} impedance are reported. It is found that a circuit model consisting of a combination of two second-order power-law low-pass filters shows the least fitting error.",

keywords = "bio-impedance, fractional-order circuits, optimization, power-law filters",

author = "Gadallah, \{Samar I.\} and Ghoneim, \{Mohamed S.\} and Elwakil, \{Ahmed S.\} and Said, \{Lobna A.\} and Madian, \{Ahmed H.\} and Radwan, \{Ahmed G.\}",

note = "Publisher Copyright: {\textcopyright} 2022 by the authors.",

year = "2022",

month = aug,

doi = "10.3390/s22155659",

language = "English",

volume = "22",

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TY - JOUR

T1 - Plant Tissue Modelling Using Power-Law Filters

AU - Gadallah, Samar I.

AU - Ghoneim, Mohamed S.

AU - Elwakil, Ahmed S.

AU - Said, Lobna A.

AU - Madian, Ahmed H.

AU - Radwan, Ahmed G.

PY - 2022/8

Y1 - 2022/8

N2 - Impedance spectroscopy has became an essential non-invasive tool for quality assessment measurements of the biochemical and biophysical changes in plant tissues. The electrical behaviour of biological tissues can be captured by fitting its bio-impedance data to a suitable circuit model. This paper investigates the use of power-law filters in circuit modelling of bio-impedance. The proposed models are fitted to experimental data obtained from eight different fruit types using a meta-heuristic optimization method (the Water Cycle Algorithm (WCA)). Impedance measurements are obtained using a Biologic SP150 electrochemical station, and the percentage error between the actual impedance and the fitted models’ impedance are reported. It is found that a circuit model consisting of a combination of two second-order power-law low-pass filters shows the least fitting error.

AB - Impedance spectroscopy has became an essential non-invasive tool for quality assessment measurements of the biochemical and biophysical changes in plant tissues. The electrical behaviour of biological tissues can be captured by fitting its bio-impedance data to a suitable circuit model. This paper investigates the use of power-law filters in circuit modelling of bio-impedance. The proposed models are fitted to experimental data obtained from eight different fruit types using a meta-heuristic optimization method (the Water Cycle Algorithm (WCA)). Impedance measurements are obtained using a Biologic SP150 electrochemical station, and the percentage error between the actual impedance and the fitted models’ impedance are reported. It is found that a circuit model consisting of a combination of two second-order power-law low-pass filters shows the least fitting error.

KW - bio-impedance

KW - fractional-order circuits

KW - optimization

KW - power-law filters

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U2 - 10.3390/s22155659

DO - 10.3390/s22155659

M3 - Article

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AN - SCOPUS:85136342841

SN - 1424-8220

VL - 22

JO - Sensors

JF - Sensors

IS - 15

M1 - 5659

ER -

Plant Tissue Modelling Using Power-Law Filters

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Keywords

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