Complex Permittivity Extraction of Layered Biological Samples

Conference Paper (2018)
Author(s)

Harshitha Thippur Shivamurthy (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Vincenzo Mascolo (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Raffaele Romano (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Andrea Neto (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Marco Spirito (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Electronics
DOI related publication
https://doi.org/10.1109/MWSYM.2018.8439281 Final published version
More Info
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Publication Year
2018
Language
English
Research Group
Electronics
Volume number
2018-June
Article number
8439281
Pages (from-to)
1573-1576
ISBN (print)
978-1-5386-5067-7
Event
2018 IEEE/MTT-S International Microwave Symposium, IMS 2018 (2018-06-10 - 2018-06-15), Philadelphia, United States
Downloads counter
187

Abstract

In this paper, we present a technique to extract the complex permittivity of the different layers (i.e., pulp and skin) of a biological sample (i.e., mangoes) in broadband dielectric spectroscopy measurements. The proposed approach is based on a newly developed accurate and rapid electromagnetic lumped capacitance equivalent network model for the open-ended coaxial cable, capable of accounting for stratified layered media. Combining broadband dielectric measurement with the model predictions allows to derive the permittivity of the internal layers of the biological sample. The proposed approach is applied to evaluate fruit quality, i.e., staging of the effective fruit ripening and identification of internal fruit defects (not visible externally). Broadband permittivity measurements (0.5GHz to 5GHz) are presented and combined with the EM model to demonstrate the effectiveness of the technique for evaluation of the internal (i.e., pulp) staging and structure disorders in Mangoes.