Evidence map›Paper›PMID 38894320›Full record

ArticleSensors (Basel, Switzerland)2024

Study on Sensing Urine Concentrations in Water Using a Microwave Sensor Based on Hilbert Structure.

Rusul Khalid Abdulsattar, Musab T S Al-Kaltakchi, Iulia Andreea Mocanu, Amer Abbood Al-Behadili, Zaid A Abdu Hassain

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Rusul Khalid AbdulsattarDepartment of Electrical Engineering, University of Technology, Baghdad 10066, Iraq.ORCID 0000-0002-9019-3840
Musab T S Al-KaltakchiDepartment of Electrical Engineering, College of Engineering, Mustansiriyah University, Baghdad 10052, Iraq.ORCID 0000-0001-5542-9144
Iulia Andreea MocanuTelecommunications Department, National University of Science and Technology Politehnica Bucharest, 060042 Bucharest, Romania.ORCID 0000-0003-1922-3047
Amer Abbood Al-BehadiliDepartment of Electrical Engineering, College of Engineering, Mustansiriyah University, Baghdad 10052, Iraq.ORCID 0000-0003-4643-8043
Zaid A Abdu HassainDepartment of Electrical Engineering, College of Engineering, Mustansiriyah University, Baghdad 10052, Iraq.ORCID 0000-0002-3197-4583

Funding

National Program for Research of the National Association of Technical Universities - GNAC ARUT 2023 16/06.10.2023
6 · The paper itself

Abstract

In this study, a two-port network-based microwave sensor for liquid characterization is presented. The suggested sensor is built as a miniature microwave resonator using the third iteration of Hilbert's fractal architecture. The suggested structure is used with the T-resonator to raise the sensor quality factor. The suggested sensor is printed on a FR4 substrate and has a footprint of 40×60×1.6mm3. Analytically, a theoretical investigation is made to clarify how the suggested sensor might function. The suggested sensor is created and put to the test in an experiment. Later, two pans to contain the urine Sample Under Test (SUT) are printed on the sensor. Before loading the SUT, it is discovered that the suggested structure's frequency resonance is 0.46 GHz. An 18 MHz frequency shift is added to the initial resonance after the pans are printed. They monitor the S-parameters in terms of S12 regarding the change in water content in the urine samples, allowing for the sensing component to be completed. As a result, 10 different samples with varying urine percentages are added to the suggested sensor to evaluate its ability to detect the presence of urine. Finally, it is discovered that the suggested process' measurements and corresponding simulated outcomes agreed quite well.

Indexed as

MicrowavesWaterHumansUrineWaterfractal structuremicrowave sensorurinewater content

Identifiers

PMID38894320
PMCPMC11175210

What OpenQuestion holds

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Registered trials

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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.