Evidence map›Paper›PMID 28194674›Full record

ArticleEnvironmental science and pollution research international2017

Biomonitoring of atmospheric pollution: a novel approach for the evaluation of natural and anthropogenic contribution to atmospheric aerosol particles.

Rosa Caggiano, Giuseppe Calamita, Serena Sabia, Serena Trippetta

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2017. 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
0.3field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

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 at 1 institution in 1 country.

Rosa CaggianoIMAA, Istituto di Metodologie per l'Analisi Ambientale, CNR, C.da S. Loja, Z.I, 85050, Tito Scalo (PZ), Italy. rosa.caggiano@imaa.cnr.it.
Giuseppe CalamitaIMAA, Istituto di Metodologie per l'Analisi Ambientale, CNR, C.da S. Loja, Z.I, 85050, Tito Scalo (PZ), Italy.
Serena SabiaIMAA, Istituto di Metodologie per l'Analisi Ambientale, CNR, C.da S. Loja, Z.I, 85050, Tito Scalo (PZ), Italy.
Serena TrippettaIMAA, Istituto di Metodologie per l'Analisi Ambientale, CNR, C.da S. Loja, Z.I, 85050, Tito Scalo (PZ), Italy.
National Research Council - Institute of Methodologies for Environmental Analysis · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The investigation of the potential natural and anthropogenic contribution to atmospheric aerosol particles by using lichen-bag technique was performed in the Agri Valley (Basilicata region, southern Italy). This is an area of international concern since it houses one of the largest European on-shore reservoirs and the biggest oil/gas pre-treatment plant (i.e., Centro Olio Val d'Agri (COVA)) within an anthropized context. In particular, the concentrations of 17 trace elements (Al, Ca, Cd, Cr, Cu, Fe, K, Li, Mg, Mn, Na, Ni, P, Pb, S, Ti, and Zn) were measured in lichen bags exposed in 59 selected monitoring points over periods of 6 months (from October 2011 to April 2012) and 12 months (from October 2011 to October 2012). The general origin of the main air masses affecting the sampling site during the study period was assessed by the back trajectories clustering calculated using the HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. The results allowed the identification and characterization of the crustal material, smoke, sea salt, sulfate, and anthropogenic trace element contributions to the atmospheric aerosol particles in the study area. Finally, the application of the trend surface analysis (TSA) allowed the study of the spatial distribution of the considered contributions highlighting the existence of a continuous broad variation of these contributions in the area of interest.

Indexed as

Environmental MonitoringLichensAerosolsAir PollutantsIonsItalyTrace ElementsAerosolsAir PollutantsIonsTrace ElementsAtmospheric aerosol particlesBiomonitoringNatural and anthropogenic contributionTrend surface analysis

Identifiers

PMID28194674
OpenAlexW2588295081

What OpenQuestion holds

Textmetadata
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.