Evidence map›Paper›PMID 39882919›Full record

ArticleWater science and technology : a journal of the International Association on Water Pollution Research2025

Wastewater biotreatment and bioaugmentation for remediation of contaminated sites at an oil recycling plant.

Meryem Jemli, Fatma Karray, Lamjed Mansour, Slim Loukil, Rihab Bouhdida, Krishna Kumar Yadav, Sami Sayadi

Abstract read
PubMed Publisher
In one paragraph

Article in Water science and technology : a journal of the International Association on Water Pollution Research, 2025. 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

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

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

7 authors.

Meryem JemliLaboratory of Environmental Bioprocesses, Centre of Biotechnology of Sfax, BP 1177, 3018 Sfax, Tunisia.
Fatma KarrayLaboratory of Environmental Bioprocesses, Centre of Biotechnology of Sfax, BP 1177, 3018 Sfax, Tunisia.
Lamjed MansourDepartment of Zoology, College of Science, King Saud University, PO Box 2455, 11451 Riyadh, Saudi Arabia E-mail: lmansour@ksu.edu.sa.ORCID https://orcid.org/0000-0002-9415-9383
Slim LoukilLaboratory of Environmental Bioprocesses, Centre of Biotechnology of Sfax, BP 1177, 3018 Sfax, Tunisia.
Rihab BouhdidaThe Tunisian Company of Lubricants SOTULUB, Industrial Zone, 7021 Zarzouna, Bizerte, Tunisia.
Krishna Kumar YadavDepartment of Environmental Science, Parul Institute of Applied Sciences, Parul University, Vadodara, Gujarat 391760, India.
Sami SayadiCenter for Sustainable Development, College of Arts and Sciences, Qatar University, Doha 2713, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work focused on the biotreatment of wastewater and contaminated soil in a used oil recycling plant located in Bizerte. A continuous stirred tank reactor (CSTR) and a trickling filter (TF) were used to treat stripped and collected wastewater, respectively. The CSTR was started up and stabilized for 90 days. Over the following 170 days, the operational organic loading rates of the TF and the CSTR were around 1,200 and 3,000 g chemical oxygen demand (COD) m

Indexed as

Soil PollutantsWaste Disposal, FluidWastewaterBacteriaBiodegradation, EnvironmentalBiological Oxygen Demand AnalysisBioreactorsMetals, HeavyPetroleumRecyclingSoil MicrobiologyWater Pollutants, ChemicalMetals, HeavyPetroleumSoil PollutantsWastewaterWater Pollutants, Chemicalbiodegradationbioremediationindustrial wastewatermicrobial diversitysoilused oil recycling plant

Identifiers

PMID39882919

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.