Evidence map›Paper›PMID 42135392›Full record

ArticleScientific reports2026

A new electromagnetic method for analyzing urban road dust.

Grzegorz Tytko, Sylwia Dytłow, Barbara Solecka, Yuedong Xie

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Grzegorz TytkoFaculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 16, Gliwice, 44-100, Poland.
Sylwia DytłowInstitute of Geophysics, Polish Academy of Sciences, Ks. Janusza 64, Warsaw, 01-452, Poland. skdytlow@igf.edu.pl.ORCID http://orcid.org/0000-0001-6968-6491
Barbara SoleckaInstitute of Physics - Centre for Science and Education, Division of Applied Physics, Silesian University of Technology, Konarskiego 22B, Gliwice, 44-100, Poland.
Yuedong XieSchool of Instrumentation and Opto-Electronic Engineering, Beihang University, Beijing, China.

Funding

EU funds FSD - 10.25 Development of higher education focused on the needs of the green economy. European Funds for Silesia 2021-2027: The modern methods of the monitoring of the level and isotopic composition of atmospheric CO2 (project no. FESL.10.25-IZ.01-06C9/23-00,) FESL.10.25-IZ.01-06C9/23-00,Narodowe Centrum Nauki 2021/43/D/ST10/00996
6 · The paper itself

Abstract

Road dust is a key urban pollutant and indicator of environmental contamination from traffic and industry. Conventional analysis methods are often slow, expensive, and require complex preparation. This study presents a novel electromagnetic method using electrical impedance spectroscopy (EIS) for road dust analysis. The technique leverages the eddy current effect with a specialized measuring coil to determine impedance components from sealed dust samples. Twenty samples from Warsaw, Poland, were analyzed, with results displayed as normalized impedance plots. These plots showed distinct characteristics, enabling clear differentiation of all samples. Magnetic susceptibility measurements confirmed a strong correlation with resistance changes, validating the method's sensitivity to magnetic mineral content. The results demonstrate that this approach provides a rapid, cost-effective, and non-destructive tool for distinguishing dust samples and assessing magnetic contamination. Furthermore, its electromagnetic nature suggests potential for detecting non-ferromagnetic heavy metals like lead, cadmium, and chromium, opening new avenues for environmental monitoring.

Indexed as

Coil impedanceElectrical impedance spectroscopyMagnetic susceptibilityRoad dustUrban pollution

Identifiers

PMID42135392
PMCPMC13370015

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LicenceCC BY
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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.