Evidence map›Paper›PMID 34068268›Full record

ArticleInternational journal of environmental research and public health2021

Biomonitoring of Hg

Sandra Viso, Sofía Rivera, Alba Martinez-Coronado, José María Esbrí, Marta M Moreno, Pablo Higueras

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Sandra VisoInstituto de Geología Aplicada, Universidad de Castilla-La Mancha, 13400 Ciudad Real, Spain.
Sofía RiveraInstituto de Geología Aplicada, Universidad de Castilla-La Mancha, 13400 Ciudad Real, Spain.
Alba Martinez-CoronadoIndependent Researcher, C/Madrid 18, Puertollano, 13500 Ciudad Real, Spain.
José María EsbríInstituto de Geología Aplicada, Universidad de Castilla-La Mancha, 13400 Ciudad Real, Spain.ORCID 0000-0001-8530-6057
Marta M MorenoEscuela Técnica de Ingenieros Agrónomos, Universidad de Castilla-La Mancha, 13071 Ciudad Real, Spain.
Pablo HiguerasInstituto de Geología Aplicada, Universidad de Castilla-La Mancha, 13400 Ciudad Real, Spain.ORCID 0000-0002-3662-7302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biomonitoring of atmospheric mercury (Hg) is an important topic in the recent scientific literature given the cost-benefit advantage of obtaining indirect measurements of gaseous Hg using biological tissues. Lichens, mosses, and trees are the most commonly used organisms, with many standardized methods for some of them used across European countries by scientists and pollution regulators. Most of the species used the uptake of gaseous Hg (plant leaves), or a mixture of gaseous and particulate Hg (mosses and lichens), but no method is capable of differentiating between main atmospheric Hg phases (particulate and gaseous), essential in a risk assessment. The purpose of this work was to evaluate different uptake patterns of biological tissues in terms of atmospheric Hg compounds. To accomplish this, the feasibility of two plant tissues from a tree commonly found in urban environments has been evaluated for the biomonitoring of gaseous Hg species in a Hg mining environment. Sampling included leaves and barks from

Indexed as

Air PollutantsMercuryBiological MonitoringEnvironmental MonitoringEuropePlant BarkSpainAir PollutantsMercuryAlmadénbarksbiomonitoringcinnabarleavesparticulate-bound mercuryplant uptakethermal speciationtotal atmospheric mercury

Identifiers

PMID34068268
PMCPMC8153109

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.