Evidence map›Paper›PMID 38696051›Full record

ArticleEnvironmental geochemistry and health2024

Multivariate analysis applied to X-ray fluorescence to assess soil contamination pathways: case studies of mass magnetic susceptibility in soils near abandoned coal and W/Sn mines.

Jelena Milinovic, Patrícia Santos, Helena Sant'Ovaia, Aurora Futuro, Carlos M Pereira, Bramley J Murton, Deolinda Flores, Manuel Azenha

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental geochemistry and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 2 countries.

Jelena MilinovicChemistry and Biochemistry Department, Faculty of Sciences, CIQ‑UP, Institute of Molecular Sciences (IMS), University of Porto, Rua do Campo Alegre s/n, 4169‑007, Porto, Portugal. jelena.milinovic@fc.up.pt.
Patrícia SantosInstitute of Earth Sciences, Pole of University of Porto, 4169-007, Porto, Portugal.
Helena Sant'OvaiaInstitute of Earth Sciences, Pole of University of Porto, 4169-007, Porto, Portugal.
Aurora FuturoCERENA, Faculdade de Engenharia da Universidade do Porto, Rua Dr Roberto Frias s/n, 4200-465, Porto, Portugal.
Carlos M PereiraChemistry and Biochemistry Department, Faculty of Sciences, CIQ‑UP, Institute of Molecular Sciences (IMS), University of Porto, Rua do Campo Alegre s/n, 4169‑007, Porto, Portugal.
Bramley J MurtonNOC, National Oceanography Centre, European Way, Southampton, SO14 3ZH, UK.
Deolinda FloresInstitute of Earth Sciences, Pole of University of Porto, 4169-007, Porto, Portugal.
Manuel AzenhaChemistry and Biochemistry Department, Faculty of Sciences, CIQ‑UP, Institute of Molecular Sciences (IMS), University of Porto, Rua do Campo Alegre s/n, 4169‑007, Porto, Portugal.
Universidade do Porto · PTNational Oceanography Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining the origin and pathways of contaminants in the natural environment is key to informing any mitigation process. The mass magnetic susceptibility of soils allows a rapid method to measure the concentration of magnetic minerals, derived from anthropogenic activities such as mining or industrial processes, i.e., smelting metals (technogenic origin), or from the local bedrock (of geogenic origin). This is especially effective when combined with rapid geochemical analyses of soils. The use of multivariate analysis (MVA) elucidates complex multiple-component relationships between soil geochemistry and magnetic susceptibility. In the case of soil mining sites, X-ray fluorescence (XRF) spectroscopic data of soils contaminated by mine waste shows statistically significant relationships between magnetic susceptibility and some base metal species (e.g., Fe, Pb, Zn, etc.). Here, we show how qualitative and quantitative MVA methodologies can be used to assess soil contamination pathways using mass magnetic susceptibility and XRF spectra of soils near abandoned coal and W/Sn mines (NW Portugal). Principal component analysis (PCA) showed how the first two primary components (PC-1 + PC-2) explained 94% of the sample variability, grouped them according to their geochemistry and magnetic susceptibility in to geogenic and technogenic groups. Regression analyses showed a strong positive correlation (R

Indexed as

Environmental MonitoringSoil PollutantsSpectrometry, X-Ray EmissionCoalCoal MiningMagnetic PhenomenaMiningMultivariate AnalysisPortugalPrincipal Component AnalysisSoilTinCoalSoilSoil PollutantsTinGeochemistryMagnetic mineralsMetal contaminationPCA and cluster analysisRegression analysesXRF spectra

Identifiers

PMID38696051
PMCPMC11065930
OpenAlexW4396583109

What OpenQuestion holds

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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.