Evidence map›Paper›PMID 27744589›Full record

ArticleEnvironmental science and pollution research international2017

Apis mellifera ligustica, Spinola 1806 as bioindicator for detecting environmental contamination: a preliminary study of heavy metal pollution in Trieste, Italy.

Anita Giglio, Anna Ammendola, Silvia Battistella, Attilio Naccarato, Alberto Pallavicini, Enrico Simeon, Antonio Tagarelli, Piero Giulio Giulianini

Open access · greenAbstract read
PubMed Publisher
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. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 76 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Biomonitoring of element contamination in bees and beehive products in the Rome province (Italy).Environmental science and pollution research international · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Mineral and Trace Element Analysis of Australian/QueenslandInternational journal of environmental research and public health · 2020
    Article
  14. Article
  15. Assessing heavy metal pollution by biomonitoring honeybee nectar in Córdoba (Spain).Environmental science and pollution research international · 2020
    Article
  16. Review
  17. Article
  18. Levels of heavy metals in a multifloral Saudi honey.Environmental science and pollution research international · 2019
    Article
  19. Heavy metal pollution in immobile and mobile components of lentic ecosystems-a review.Environmental science and pollution research international · 2018
    Review
  20. 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

8 authors at 2 institutions in 1 country.

Anita GiglioDipartimento di Biologia, Ecologia e Scienze della Terra, Università della Calabria, Via P. Bucci, 87036, Rende, Italy. anita.giglio@unical.it.ORCID http://orcid.org/0000-0001-6513-5027
Anna AmmendolaDipartimento di Scienze della Vita, Università degli Studi di Trieste, Via Giorgieri 5, 34127, Trieste, Italy.
Silvia BattistellaDipartimento di Scienze della Vita, Università degli Studi di Trieste, Via Giorgieri 5, 34127, Trieste, Italy.
Attilio NaccaratoDipartimento di Chimica e Tecnologie Chimiche, Università della Calabria, Via P. Bucci, 87036, Rende, Italy.
Alberto PallaviciniDipartimento di Scienze della Vita, Università degli Studi di Trieste, Via Giorgieri 5, 34127, Trieste, Italy.
Enrico SimeonDipartimento di Scienze della Vita, Università degli Studi di Trieste, Via Giorgieri 5, 34127, Trieste, Italy.
Antonio TagarelliDipartimento di Chimica e Tecnologie Chimiche, Università della Calabria, Via P. Bucci, 87036, Rende, Italy.
Piero Giulio GiulianiniDipartimento di Scienze della Vita, Università degli Studi di Trieste, Via Giorgieri 5, 34127, Trieste, Italy.
University of Trieste · ITUniversity of Calabria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Honeybees have become important tools for the ecotoxicological assessment of soil, water and air metal contamination due to their extraordinary capacity to bioaccumulate toxic metals from the environment. The level of heavy metal pollution in the Trieste city was monitored using foraging bees of Apis mellifera ligustica from hives owned by beekeepers in two sites strategically located in the suburban industrial area and urban ones chosen as control. The metal concentration in foraging bees was determined by inductively coupled plasma-mass spectrometry. The chemical analysis has identified and quantified 11 trace elements accumulated in two different rank orders: Zn> Cu > Sr > Bi > Ni > Cr > Pb = Co > V > Cd > As in foraging bees from the suburban site and Zn > Cu > Sr > Cr > Ni > Bi > Co = V > Pb > As > Cd in bees from urban site. Data revealed concentrations of Cr and Cu significantly higher and concentration of Cd significantly lower in bees from urban sites. The spatial difference and magnitude order in heavy metal accumulation along the urban-suburban gradient are mainly related to the different anthropogenic activity within sampled sites and represent a risk for the human health of people living in the city. We discussed and compared results with the range of values reported in literature.

Indexed as

AnimalsArsenicBeesCitiesEnvironmental MonitoringEnvironmental PollutantsEnvironmental PollutionIndustryItalyMetals, HeavyArsenicEnvironmental PollutantsMetals, HeavyAir pollutionBioaccumulationHoney beeHuman healthMonitoring

Identifiers

PMID27744589
OpenAlexW2529879836

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.