Evidence map›Paper›PMID 39275483›Full record

ArticleSensors (Basel, Switzerland)2024

One-Port Coaxial Line Sample Holder Characterisation Method of Dielectric Spectra.

Iman Farhat, Lourdes Farrugia, Julian Bonello, Rafel Grima, Raffaele Persico, Charles Sammut

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Iman FarhatDepartment of Physics, University of Malta, MSD 2080 Msida, Malta.ORCID 0000-0001-8401-997X
Lourdes FarrugiaDepartment of Physics, University of Malta, MSD 2080 Msida, Malta.ORCID 0000-0002-1816-0657
Julian BonelloDepartment of Physics, University of Malta, MSD 2080 Msida, Malta.ORCID 0000-0002-1298-7645
Rafel GrimaDepartment of Physics, University of Malta, MSD 2080 Msida, Malta.
Raffaele PersicoDepartment of Environmental Engineering DIAM, Università della Calabria, 87036 Rende, Italy.ORCID 0000-0003-3213-2879
Charles SammutDepartment of Physics, University of Malta, MSD 2080 Msida, Malta.ORCID 0000-0002-8138-3052

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A technique for solving the one-port closed coaxial transmission line sample holder scattering equation for complex permittivity inversion for lossy materials is presented. A non-linear least-squares procedure is used for the determination of parameters for the specification of the spectral functional form of the complex permittivity. The method allows for accurate retrieval of many low- and high-permittivity dielectric materials in the frequency range of 1 GHz to 3 GHz inserted into the coaxial cell. Using this method, the complex permittivity of a number of liquids and a Maltese soil known as Bajjad soil have been extracted by measurements using a short terminated coaxial transmission line sample holder. The proposed novel inversion method is mainly based on the reflection coefficient of the test material. The measured results of the complex permittivity of liquid dielectrics such as ethanol, methanol, and TX100 are validated and compared with previously published data obtained from measurements made by the National Physical Laboratory (NPL) using a two-port measurement setup made with the same commercial coaxial transmission line sample holder used in the one-port setup. Since the technique allows broadband measurements, it has been used to characterise the soil dielectric spectrum in the frequency range of 1-3 GHz, which is also compared with results from a two-port setup of the same coaxial line. The experimental results are a validation of the proposed approach for different types of materials.

Indexed as

coaxial linedielectric measurementsdielectric propertiesmaterial under testmicrowave measurementsample holdervector network analyser

Identifiers

PMID39275483
PMCPMC11398115

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.