Evidence map›Paper›PMID 39906832›Full record

ArticleHeliyon2025

Biodesulfurization of high-sulfur oil from the Karazhanbas field of Kazakhstan with deep eutectic solvents.

A O Akimbek, G A Jamalova, A K Yernazarova, G K Kaiyrmanova, B K Yelikbayev, M C Pagano, A G Zazybin, Kh S Rafikova

Abstract read
In one paragraph

Article in Heliyon, 2025. 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

8 authors.

A O AkimbekSatbayev University, Geology and Oil-Gas Business Institute Named After K. Turyssov, Almaty, Kazakhstan.
G A JamalovaScientific and Diagnostic Center Animal Expert Group, LLP, Almaty, Kazakhstan.
A K YernazarovaAl-Farabi Kazakh National University, Almaty, Kazakhstan.
G K KaiyrmanovaAl-Farabi Kazakh National University, Almaty, Kazakhstan.
B K YelikbayevSatbayev University, Geology and Oil-Gas Business Institute Named After K. Turyssov, Almaty, Kazakhstan.
M C PaganoFederal University of Minas Gerais, Belo Horizonte, Brazil.
A G ZazybinKazakh-British Technical University, Almaty, Kazakhstan.
Kh S RafikovaSatbayev University, Geology and Oil-Gas Business Institute Named After K. Turyssov, Almaty, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Karazhanbas oil field in the Mangystau region of Kazakhstan contains high-sulfur oil (1.6-2.2 %). It is known that sulfur negatively affects the operational properties of petroleum products, causes the corrosion of pipelines, and adversely affects the environment and the human body. Therefore, the development of biodesulfurization technology, taking into account local features, is relevant for this field. The purpose of the study is to develop biodesulfurization of high-sulfur oil from the Karazhanbas field in Kazakhstan using deep eutectic solvents. Research objectives: isolation of sulfate-oxidizing and sulfate-reducing bacteria from the studied oils; identification of isolated bacteria; study of the effect of heavy metal Cr(VI) and sulfur on microbial activity; testing of native strains for the potential for desulfurization of crude oil. The research methodology was based on the application of the Koch methods to determine the total number of microorganisms; light microscopy - for the study of microbiological preparations; genetic identification of bacteria based on the analysis of the nucleotide sequence of a fragment of the 16S

Indexed as

BiodesulfurizationDeep eutectic solventsHeavy metalsKarazhanbas depositMass fraction of sulfurSulfur oxidationSulfur reduction

Identifiers

PMID39906832
PMCPMC11791287

What OpenQuestion holds

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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.