Evidence map›Paper›PMID 27052348›Full record

ArticleEnvironmental monitoring and assessment2016

Application of ecological risk indicators for the assessment of Greek surficial sediments contaminated by toxic metals.

John Ν Hahladakis, Georgia Vasilaki, Eleftheria Smaragdaki, Evangelos Gidarakos

Abstract read
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Article in Environmental monitoring and assessment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

John Ν HahladakisSchool of Environmental Engineering, Technical University of Crete, Politechnioupolis, Chania, 73100, Greece. john_chach@yahoo.gr.
Georgia VasilakiSchool of Environmental Engineering, Technical University of Crete, Politechnioupolis, Chania, 73100, Greece.
Eleftheria SmaragdakiSchool of Environmental Engineering, Technical University of Crete, Politechnioupolis, Chania, 73100, Greece.
Evangelos GidarakosSchool of Environmental Engineering, Technical University of Crete, Politechnioupolis, Chania, 73100, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Τhe present research investigates the partitioning of six selected toxic metals (Ni, Cr, Pb, Zn, Cu, and As) in eight sediment samples; half of them were collected from Elefsis Gulf, and the other half were taken from Koumoundourou Lake, Athens, Greece. Each one of them was treated by applying Tessier's five-step sequential extraction procedure. Regarding gulf sediments, the results indicated that Cu exhibits a strong affinity to the organic matter with percentages ranging from 65 to 78 %. Considerable amount of Zn (32-40 %) is bound to the Fe-Mn fraction and the non-residual fraction, while Cr and Ni are bound to the organic fraction, an observation that suits all toxic metals examined. Regarding lake sediments, Pb is the predominant metal bound to Fe-Mn (48-51 %). It is also noteworthy that the percentage of Zn bound to carbonated fraction (5-15 %), indicating biological availability. In conclusion, the application of several ecological risk indicators demonstrated that Elefsis Gulf sediments correspond to a moderate pollution level, with Pb and Ni being less bioavailable than in the lake's samples, in contrast to Zn which is more bioavailable. Finally, Koumoundourou Lakes' basin is characterized of "low risk."

Indexed as

EcologyEnvironmental MonitoringEnvironmental PollutionGeologic SedimentsGreeceLakesMetalsRisk FactorsSeawaterWater Pollutants, ChemicalMetalsWater Pollutants, ChemicalPartitioningRisk assessmentSedimentsSequential extractionToxic metals

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Registered trials

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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.