Evidence map›Paper›PMID 32784783›Full record

ArticleInternational journal of environmental research and public health2020

Innovative Characterization of Particulate Matter Deposited on Urban Vegetation Leaves through the Application of a Chemical Fractionation Procedure.

Martina Ristorini, Chiara Baldacchini, Lorenzo Massimi, Gregorio Sgrigna, Carlo Calfapietra

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Martina RistoriniDepartment of Bioscience and Territory, Università degli Studi del Molise, 86090 Pesche (IS), Italy.
Chiara BaldacchiniInstitute of Research on Terrestrial Ecosystems (IRET), National Research Council (CNR), 05010 Porano (TR), Italy.ORCID 0000-0002-5268-6572
Lorenzo MassimiDepartment of Chemistry, Università degli Studi di Roma "La Sapienza", Piazzale Aldo Moro, 5, 00185 Roma, Italy.ORCID 0000-0001-9599-5722
Gregorio SgrignaInstitute of Research on Terrestrial Ecosystems (IRET), National Research Council (CNR), 05010 Porano (TR), Italy.ORCID 0000-0002-2914-2171
Carlo CalfapietraInstitute of Research on Terrestrial Ecosystems (IRET), National Research Council (CNR), 05010 Porano (TR), Italy.
National Research Council · ITSapienza University of Rome · ITUniversità degli Studi della Tuscia · ITUniversity of Molise · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we have evaluated the efficiency of a chemical fractionation procedure for the characterization of both the water-soluble and the insoluble fraction of the main elemental components of particulate matter (PM) deposited on urban leaves. The proposed analytical approach is based on the chemical analysis of leaf washing solutions and membrane filters used for their filtration. The ionic concentration of leaf washing solutions was compared with their electrical conductivity, making it a valuable proxy for the quantification of the water-soluble and ionic fraction of leaf deposited PM. The chemical composition of both the water-soluble and the insoluble fraction of PM, resulting from this fractionation procedure, was compared with results obtained by scanning electron microscopy coupled with energy-dispersed X-Rays spectroscopy (SEM/EDX) and processed through chemometrics. Results obtained proved that the proposed approach is able to provide an estimation of total leaf deposited PM and it is highly reliable for the evaluation of the emission impact of different PM sources, being able to increase the selectivity of PM elemental components as specific source tracers; consequently providing useful information also for the assessment of human health risks.

Indexed as

Air PollutantsChemical FractionationEnvironmental MonitoringHumansParticle SizeParticulate MatterPlant LeavesAir PollutantsParticulate Matterair qualitychemical fractionationnature-based solutionsparticulate matterpollution source tracers

Identifiers

PMID32784783
PMCPMC7459948
OpenAlexW3048003199

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.