Evidence map›Paper›PMID 41708757›Full record

ArticleScientific reports2026

Improved uranium bioleaching in brackish environments via microbial consortium using RSM based modelling and optimization.

Maryam Shoja, Parisa Mohammadi, Parisa Tajer-Mohammad-Ghazvini, Hassan Zare-Tavakoli

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Maryam ShojaDepartment of Microbiology, Faculty of Biological Sciences, Alzahra University, Tehran, Iran.
Parisa MohammadiDepartment of Microbiology, Faculty of Biological Sciences, Alzahra University, Tehran, Iran. p.mohammadi@alzahra.ac.ir.
Parisa Tajer-Mohammad-GhazviniNuclear Fuel Cycle Research School, Nuclear Science and Technology Research Institute, Tehran, Iran. ptajer@aeoi.org.ir.
Hassan Zare-TavakoliNuclear Fuel Cycle Research School, Nuclear Science and Technology Research Institute, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioleaching is a prominent method among eco-friendly techniques. The efficiency of bioleaching is reduced by the presence of brackish water. Moreover, it has been reported that the most successful bioleaching systems are those that include both autotrophic and heterotrophic microorganismes. This research focuses on enhancing uranium bioleaching in brackish waters using the halotolerant bacterium Acidithiobacillus ferrooxidans strain THA4 and the fungus Rhodotorula toruloides strain IR-1395. The experimental data were modeled by the Response Surface Methodology (RSM) approach. The suggested model for uranium extraction in a brackish environment using microorganisms demonstrated an alignment with the experimental data, with a correlation coefficient of R

Indexed as

AcidithiobacillusMicrobial ConsortiaRhodotorulaSaline WatersUraniumBiodegradation, EnvironmentalUraniumBiohydrometallurgyExperimental designMicrobial collaborationSaline waterUranium ore

Identifiers

PMID41708757
PMCPMC13013933

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.