Evidence map›Paper›PMID 35877879›Full record

ArticleMembranes2022

Statistical Simulation, a Tool for the Process Optimization of Oily Wastewater by Crossflow Ultrafiltration.

Hajer Aloulou, Afef Attia, Wala Aloulou, Sudip Chakraborty, Lassaad Baklouti, Lasaad Dammak, Raja Ben Amar

Abstract read
In one paragraph

Article in Membranes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Advanced Bio-Membrane Technologies for Water Treatment: Mechanisms, Challenges, and Future Prospects-A Comprehensive Critical Review.Water environment research : a research publication of the Water Environment Federation · 2026
    Review
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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.

Hajer AloulouResearch Unit "Advanced Technologies for Environment and Smart Cities", Faculty of Science of Sfax, University of Sfax, Sfax 3038, Tunisia.
Afef AttiaResearch Unit "Advanced Technologies for Environment and Smart Cities", Faculty of Science of Sfax, University of Sfax, Sfax 3038, Tunisia.
Wala AloulouResearch Unit "Advanced Technologies for Environment and Smart Cities", Faculty of Science of Sfax, University of Sfax, Sfax 3038, Tunisia.
Sudip ChakrabortyDepartment of DIMES, University of Calabria, Via P. Bucci, Cubo 42/a, 87036 Rende, Italy.ORCID 0000-0002-1752-4682
Lassaad BakloutiDepartment of Chemistry, College of Sciences and Arts at Ar Rass, Qassim University, Ar Rass 51921, Saudi Arabia.ORCID 0000-0003-3816-4003
Lasaad DammakUniversité Paris-Est Créteil, CNRS, ICMPE, UMR 7182, 2 rue Henri Dunant, 94320 Thiais, France.
Raja Ben AmarResearch Unit "Advanced Technologies for Environment and Smart Cities", Faculty of Science of Sfax, University of Sfax, Sfax 3038, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aims to determine the optimized ultrafiltration conditions for industrial wastewater treatment loaded with oil and heavy metals generated from an electroplating industry for water reuse in the industrial process. A ceramic multitubular membrane was used for the almost total retention of oil and turbidity, and the high removal of heavy metals such as Pb, Zn, and Cu (>95%) was also applied. The interactive effects of the initial oil concentration (19−117 g/L), feed temperature (20−60 °C), and applied transmembrane pressure (2−5 bar) on the chemical oxygen demand removal (RCOD) and permeate flux (Jw) were investigated. A Box−Behnken experimental design (BBD) for response surface methodology (RSM) was used for the statistical analysis, modelling, and optimization of operating conditions. The analysis of variance (ANOVA) results showed that the COD removal and permeate flux were significant since they showed good correlation coefficients of 0.985 and 0.901, respectively. Mathematical modelling revealed that the best conditions were an initial oil concentration of 117 g/L and a feed temperature of 60 °C, under a transmembrane pressure of 3.5 bar. In addition, the effect of the concentration under the optimized conditions was studied. It was found that the maximum volume concentrating factor (VCF) value was equal to five and that the pollutant retention was independent of the VCF. The fouling mechanism was estimated by applying Hermia’s model. The results indicated that the membrane fouling given by the decline in the permeate flux over time could be described by the cake filtration model. Finally, the efficiency of the membrane regeneration was proved by determining the water permeability after the chemical cleaning process.

Indexed as

fouling mechanismheavy metalsoily wastewaterresponse surface methodologyultrafiltration

Identifiers

PMID35877879
PMCPMC9317332

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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.