Evidence map›Paper›PMID 33567749›Full record

ArticleInternational journal of environmental research and public health2021

Halogenated Volatile Organic Compounds in Water Samples and Inorganic Elements Levels in Ores for Characterizing a High Anthropogenic Polluted Area in the Northern Latium Region (Italy).

Mario Vincenzo Russo, Ivan Notardonato, Alberto Rosada, Giuseppe Ianiri, Pasquale Avino

Open access · goldAbstract 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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 55% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
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 2 institutions in 1 country.

Mario Vincenzo RussoDepartment of Agriculture, Environment and Food Sciences (DiAAA), University of Molise, 86100 Campobasso, Italy.ORCID 0000-0003-3741-4162
Ivan NotardonatoDepartment of Agriculture, Environment and Food Sciences (DiAAA), University of Molise, 86100 Campobasso, Italy.
Alberto RosadaENEA Cassacia Research Center, 00060 Rome, Italy.
Giuseppe IaniriDepartment of Agriculture, Environment and Food Sciences (DiAAA), University of Molise, 86100 Campobasso, Italy.
Pasquale AvinoDepartment of Agriculture, Environment and Food Sciences (DiAAA), University of Molise, 86100 Campobasso, Italy.ORCID 0000-0003-4030-7624
University of Molise · ITNational Agency for New Technologies, Energy and Sustainable Economic Development · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper shows a characterization of the organic and inorganic fraction of river waters (Tiber and Marta) and ores/soil samples collected in the Northern Latium region of Italy for evaluating the anthropogenic/natural source contribution to the environmental pollution of this area. For organic compounds, organochloride volatile compounds in Tiber and Marta rivers were analyzed by two different clean-up methods (i.e., liquid-liquid extraction and static headspace) followed by gas chromatography-electron capture detector (GC-ECD) analysis. The results show very high concentrations of bromoform (up to 1.82 and 3.2 µg L

Indexed as

Volatile Organic CompoundsWater Pollutants, ChemicalEnvironmental MonitoringItalyRiversWaterVolatile Organic CompoundsWaterWater Pollutants, Chemicalanalysisanthropogenic sourcesarsenicelementhalogennatural sourcespollutionpublic healthsoilwater

Identifiers

PMID33567749
PMCPMC7915735
OpenAlexW3127529497

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.