Evidence map›Paper›PMID 42842470›Full record

ArticleChemistryOpen2026

Synergy of Charcoal-Cellulose Fibers for Enhanced COD and TSS Removal From Oily Industrial Wastewater: Experimental Assessment and Statistical Modeling.

Taha A Labani, Rajeev Kumar, Fahed A Aloufi, M A Barakat

Abstract read
In one paragraph

Article in ChemistryOpen, 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

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

4 authors.

Taha A LabaniDepartment of Environment, Faculty of Environmental Science, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID https://orcid.org/0009-0001-3228-9625
Rajeev KumarDepartment of Environment, Faculty of Environmental Science, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID https://orcid.org/0000-0003-0665-3670
Fahed A AloufiDepartment of Environment, Faculty of Environmental Science, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID https://orcid.org/0000-0002-2308-3086
M A BarakatDepartment of Environment, Faculty of Environmental Science, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID https://orcid.org/0000-0001-6244-8394

Funding

KAU Endowment (WAQF) at King Abdulaziz University
6 · The paper itself

Abstract

This study evaluates a low-cost fiber medium composed of animal charcoal and tissue paper (AC-TP) as a bench-scale polishing approach for treating oily industrial wastewater from Makkah Power Plant. Thirty-six samples were collected over 6 months from three operational areas: the fuel unloading area (FUA), the fuel tank area (FTA), and the turbine unit area (TUA). The samples were analyzed for chemical oxygen demand (COD), total suspended solids (TSS), total dissolved solids (TDS), turbidity, and oil and grease. COD reduction was the primary indicator, while AC-TP-corrected filter-retained solids mass and filtration time were supporting indicators. Dose screening on FUA samples with AC:TP ratio of 1.0:0.5 was identified as the preliminary best-performing dosage based on COD reduction, with corrected filter-retained solids behavior and available filtration-time data used as supporting indicators. Applying this dosage to FUA, FTA, and TUA wastewater yielded COD removals of about 75%-82%, 79%, and 79.5%, respectively. Retained solids mass increased by 20%-55%, and filtration time decreased by up to ~60%. Statistical analyses using analysis of variance (ANOVA), paired t-tests, and COD-TSS/COD-filtration-time regressions confirmed the significance of these improvements. Scanning electron microscope (SEM) and X-ray diffraction (XRD) observations supported a tentative interpretation of coupled carbon-assisted organic removal and fiber-assisted physical retention.

Indexed as

animal charcoalCOD removaloily wastewaterstatistical analysistissue paper

Identifiers

PMID42842470
PMCPMC13645059

What OpenQuestion holds

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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.