Evidence map›Paper›PMID 25893752›Full record

ArticleEnvironmental monitoring and assessment2015

Distribution of polycyclic aromatic hydrocarbons in surface sediments of lower reaches of the Don River (Russia) and their ecotoxicologic assessment by bacterial lux-biosensors.

I S Sazykin, M A Sazykina, M I Khammami, N V Kostina, L E Khmelevtsova, R G Trubnik

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2015. 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
–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

2 citing papers in PubMed.

  1. New Benzimidazole-Based pH-Sensitive Fluorescent Probes.Molecules (Basel, Switzerland) · 2025
    Article
  2. Molecular design and synthesis of methoxy-substitued spiropyrans with photomodulated NIR-fluorescence.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2023
    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.

I S SazykinSouthern Federal University, Rostov-on-Don, Russia.
M A Sazykina
M I Khammami
N V Kostina
L E Khmelevtsova
R G Trubnik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lower Don River in the south of the European part of Russia was studied to determine the concentration, spatial distribution, and sources of 19 polycyclic aromatic hydrocarbons (PAHs) in surface sediments. Total PAH concentrations ranged from 14.2 to 529 ng/g-dw. Sedimentary PAH concentrations were higher in the delta of the Don River and in the estuaries of rivers Sal and Aksai compared to the main channel of the Don. Analysis of the PAHs sources showed that PAHs came mostly from pyrogenic sources as a result of incomplete combustion of coal. Bioluminescent bacterial sensors were used for ecotoxicological assessment of surface sediments. The surface sediments of all the investigated stations of lower reaches of the Don River were toxic and genotoxic. The maximum concentration of PAHs and the high genotoxicity effect caused by the presence of genotoxicants were found in the surface sediments of the same stations. Significant correlations between the concentrations of individual PAHs in sediments and the genotoxic effect were found. Correlation between genotoxicity of surface sediments and concentration of phenanthrene and benz(k)fluoranthene was the most significant both with and without application of metabolic activation.

Indexed as

Biosensing TechniquesCoalEnvironmental MonitoringEstuariesGeologic SedimentsPolycyclic Aromatic HydrocarbonsRiversRussiaWater Pollutants, ChemicalCoalPolycyclic Aromatic HydrocarbonsWater Pollutants, Chemical

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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.