A Modified Differentiator Circuit for Extracting Cole-Impedance Model Parameters Using Meta-heuristic Optimization Algorithms

Ghoneim, Mohamed S.; Mohammaden, Amr; Mohsen, Menna; Said, Lobna A.; Radwan, Ahmed G.

doi:10.1007/s13369-021-05631-6

Cited by 4 publications

(1 citation statement)

References 33 publications

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“…Meanwhile, bio-impedance spectroscopy measures the response of biological tissues under the effect of electrical current flow with varying frequency (AC signal). The impedance of a tissue can be correlated to its chemical and physical characteristics, which allows its assessment under changing environmental conditions [ 1 , 2 ]. Typically, the cellular membrane acts as a high impedance under the effect of a low-frequency AC signal.…”

Section: Introductionmentioning

confidence: 99%

Plant Tissue Modelling Using Power-Law Filters

Gadallah

Ghoneim

Elwakil

et al. 2022

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%

Plant Tissue Modelling Using Power-Law Filters

Gadallah

Ghoneim

Elwakil

et al. 2022

Sensors

Self Cite

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Preparation and Characterization of nZVI, Bimetallic Fe0-Cu, and Fava Bean Activated Carbon-Supported Bimetallic AC-F e0-Cu for Anionic Methyl Orange Dye Removal

et al. 2023

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Nano zero-valent iron (nZVI), bimetallic Nano zero-valent iron-copper (Fe0- Cu), and fava bean activated carbon-supported with bimetallic Nano zero-valent iron-copper (AC-F e0-Cu) were prepared and characterized by DLS, FT-IR, XRD, and SEM. The influence of the synthesized adsorbents on the adsorption and removal of soluble anionic methyl orange (M.O) dye was investigated using UV-V spectroscopy. The influence of numerous operational parameters was studied at varied pH (3–9), time intervals (15–180 min), and dye concentrations (25–1000 ppm) to establish the best removal conditions. The maximum removal efficiency of M.O. using the prepared adsorbent materials reached about 99%. The removal efficiency is modeled using response surface methodology (RSM). The Bimetallic $$F{e}^{0}$$ F e 0 -Cu, the best experimental and predicted removal efficiency is 96.8% RE. For the H2SO4 chemical AC-$$F{e}^{0}$$ F e 0 -Cu, the best experimental and removal efficiency is 96.25% RE. The commercial AC-Fe0–Cu, the best experimental and predicted removal efficiency is 94.93%RE. This study aims to produce low-cost adsorbents such as Bimetallic Fe0-Cu, and Fava Bean Activated Carbon-Supported Bimetallic AC-Fe0-Cu to treat the industrial wastewater from the anionic methyl orange (M.O) dye and illustrate its ability to compete H2SO4 chemical AC-Fe0-Cu, and commercial AC-Fe0-Cu.

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