Evidence map›Paper›PMID 34639713›Full record

ArticleInternational journal of environmental research and public health2021

Revealing Soil and Tree Leaves Deposited Particulate Matter PTE Relationship and Potential Sources in Urban Environment.

Gevorg Tepanosyan, Chiara Baldacchini, Lilit Sahakyan

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. 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

3 authors.

Gevorg TepanosyanThe Center for Ecological-Noosphere Studies of the National Academy of Sciences, Abovian-68, Yerevan 0025, Armenia.ORCID 0000-0002-2611-3586
Chiara BaldacchiniBiophysics and Nanoscience Centre, Dipartimento di Scienze Ecologiche e Bioloigche (DEB)-Università degli Studi della Tuscia, Largo dell'Università snc, 01100 Viterbo, Italy.ORCID 0000-0002-5268-6572
Lilit SahakyanThe Center for Ecological-Noosphere Studies of the National Academy of Sciences, Abovian-68, Yerevan 0025, Armenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trees play a pivotal role in improving urban environmental quality and provide several ecosystem services including the removal of pollutants from the air, such as particular matter (PM) and potentially toxic elements (PTE). Therefore, understanding the tree PM and PTE capturing potential, also in connection with plant species, is of great concern, especially in urban areas. This study aims to reveal the link between the elemental composition of PM deposited on tree leaves and soils PTE contents, as well as to rank the PM capturing efficiency of 10 different tree species growing under the impact of urban environments. This also allowed us to test the efficiency of PM deposited on tree leaves as a PTE biomonitoring and pollution source identification tool, in the two biggest urban areas of Armenia. Indeed, high contents of PTE are detected in both soil- and leaf-deposited PM from sites characterized by the presence of localized and active pollution sources (i.e., industrial unites, high traffic, etc.), which are identified by specific tracers (such as Mo, Cu, Zn, Pb, and Cd). Among the studied tree species, the highest PM amount per unit leaf area is observed for

Indexed as

Air PollutantsParticulate MatterEcosystemEnvironmental MonitoringPlant LeavesSoilTreesAir PollutantsParticulate MatterSoilenvironmental compartmentspollutionpotentially toxic elementsurban trees

Identifiers

PMID34639713
PMCPMC8508361

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.