Evidence map›Paper›PMID 36298156›Full record

ArticleSensors (Basel, Switzerland)2022

A Method for Extracting Debye Parameters as a Tool for Monitoring Watered and Contaminated Soils.

Andrea Cataldo, Iman Farhat, Lourdes Farrugia, Raffaele Persico, Raissa Schiavoni

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Broadband Measurements of Soil Complex Permittivity.Sensors (Basel, Switzerland) · 2023
    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.

Andrea CataldoDepartment of Engineering for Innovation, University of Salento, 73100 Lecce, Italy.ORCID 0000-0001-9031-7690
Iman FarhatDepartment of Physics, University of Malta, 2080 Msida, Malta.ORCID 0000-0001-8401-997X
Lourdes FarrugiaDepartment of Physics, University of Malta, 2080 Msida, Malta.
Raffaele PersicoDepartment of Environmental Engineering DIAM, University of Calabria, 87036 Rende, Italy.ORCID 0000-0003-3213-2879
Raissa SchiavoniDepartment of Engineering for Innovation, University of Salento, 73100 Lecce, Italy.ORCID 0000-0002-8462-5563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil monitoring is a key topic from several perspectives, such as moisture level control for irrigation management and anti-contamination purposes. Monitoring the latter is becoming even more important due to increasing environmental pollution. As a direct consequence, there is a strong demand for innovative monitoring systems that are low cost, provide for quasi-real time and in situ monitoring, high sensitivity, and adequate accuracy. Starting from these considerations, this paper addresses the implementation of a microwave reflectometry based-system utilizing a customized bifilar probe and a miniaturized Vector Network Analyzer (m-VNA). The main objective is to relate frequency-domain (FD) measurements to the features of interest, such as the water content and/or the percentage of some polluting substances, through an innovative automatable procedure to retrieve the Debye dielectric parameters of the soil under different conditions. The results from this study confirm the potential of microwave reflectometry for moisture monitoring and contamination detection.

Indexed as

Environmental PollutionWaterMicrowavesSoilSoilWaterbifilar probeDebye lawdielectric permittivityFDR measurementsmicrowave reflectometrysoil pollution

Identifiers

PMID36298156
PMCPMC9607461

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.