Evidence map›Paper›PMID 31527610›Full record

ArticleScientific reports2019

A Pixelated Microwave Near-Field Sensor for Precise Characterization of Dielectric Materials.

Maryam Saadat-Safa, Vahid Nayyeri, Ali Ghadimi, Mohammad Soleimani, Omar M Ramahi

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

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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

5 authors.

Maryam Saadat-SafaAntenna and Microwave Research Laboratory, Iran University of Science and Technology, Tehran, 1684613114, Iran.
Vahid NayyeriAntenna and Microwave Research Laboratory, Iran University of Science and Technology, Tehran, 1684613114, Iran. nayyeri@iust.ac.ir.
Ali GhadimiAntenna and Microwave Research Laboratory, Iran University of Science and Technology, Tehran, 1684613114, Iran.
Mohammad SoleimaniAntenna and Microwave Research Laboratory, Iran University of Science and Technology, Tehran, 1684613114, Iran.
Omar M RamahiDepartment of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, N2L3G1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A highly sensitive microwave near-field sensor based on electrically-small planar resonators is proposed for highly accurate characterization of dielectric materials. The proposed sensor was developed in a robust complete-cycle topology optimization procedure wherein first the sensing area was pixelated. By maximizing the sensitivity as our goal, a binary particle swarm optimization algorithm was applied to determine whether each pixel is metalized or not. The outcome of the optimization is a pixelated pattern of the resonator yielding the maximum possible sensitivity. A curve fitting method was applied to the full-wave simulation results to derive a closed form expression for extracting the dielectric constant of a chemical material from the shift in the resonance frequency of the sensor. As a proof of concept, the sensor was fabricated and used to measure the permittivity of two known liquids (cyclohexane and chloroform) and their mixtures with different volume ratios. The experimentally extracted dielectric constants were in an excellent agreement with the reference data (for pure cyclohexane and chloroform) or those obtained by mixture formulas.

Identifiers

PMID31527610
PMCPMC6746951

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