Evidence map›Paper›PMID 36235095›Full record

ArticleMolecules (Basel, Switzerland)2022

Can Urban Grassland Plants Contribute to the Phytoremediation of Soils Contaminated with Heavy Metals.

Zvjezdana Stančić, Željka Fiket, Dinko Vujević

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. 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
–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

1 citing paper in PubMed.

  1. Biomonitoring with the Use of the Herbal PlantPlants (Basel, Switzerland) · 2024
    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

3 authors.

Zvjezdana StančićFaculty of Geotechnical Engineering, University of Zagreb, HR-42000 Varaždin, Croatia.ORCID 0000-0002-6124-811X
Željka FiketDivision for Marine and Environmental Research, Ruđer Bošković Institute, HR-10000 Zagreb, Croatia.ORCID 0000-0002-7628-9045
Dinko VujevićFaculty of Geotechnical Engineering, University of Zagreb, HR-42000 Varaždin, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main objective of this study was to investigate whether the most common wild plant species of urban grassland can be used for phytoremediation of soils polluted with heavy metals. The study was conducted in the city of Varaždin, in northern Croatia. The content of heavy metals (Cd, Cu, Fe, Mn, Ni, Pb, Zn) was determined in soil samples as well as in unwashed and washed plant samples (Taraxacum officinale, Plantago lanceolata, Trifolium repens). The results show that the most polluted site is the railway station, while most sites are polluted by road traffic. The soils are most enriched with Pb, Cu, Zn and Cd. The bioconcentration factors for all three plant species are <1, indicating the relatively low capacity of phytoextraction. A considerable amount of heavy metals is found in the dust deposited on the plant surface, which is confirmed by a statistically significant difference between washed and unwashed plant samples. In addition, the biomass of each plant species that can be removed (in t/ha year), the mass of specific heavy metal that can be removed (in kg/ha), and the years required for phytoremediation are reported. In conclusion, phytoremediation with only common plant species of urban grassland is not possible within a reasonable period of time.

Indexed as

Metals, HeavySoil PollutantsBiodegradation, EnvironmentalCadmiumDustGrasslandLeadPlantsSoilCadmiumDustLeadMetals, HeavySoilSoil Pollutantsbioconcentration factorbiomassCroatiaphytoextractionPlantago lanceolataTaraxacum officinaleTrifolium repensunwashed and washed plant samplesVaraždin

Identifiers

PMID36235095
PMCPMC9572121

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.