Evidence map›Paper›PMID 41348406›Full record

ArticleBiodegradation2025

Bioremediation of aquaculture wastewater using the fungal biomass integrating Plackett-Burman design.

Hazem T Abd El-Hamid, Muhammad A El-Alfy, Hanan M Hafiz, Hoda M El-Gharabawy

Abstract read
In one paragraph

Article in Biodegradation, 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

4 authors.

Hazem T Abd El-HamidNational Institute of Oceanography and Fisheries, NIOF, Cairo, Egypt.
Muhammad A El-AlfyNational Institute of Oceanography and Fisheries, NIOF, Cairo, Egypt. muhammad.elalfy@yahoo.com.
Hanan M HafizBotany and Microbiology Department, Faculty of Science, Damietta University, New Damietta, 34517, Egypt.
Hoda M El-GharabawyBotany and Microbiology Department, Faculty of Science, Damietta University, New Damietta, 34517, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquaculture wastewater contains elevated levels of nutrients and organic pollutants that can accelerate eutrophication and impair aquatic ecosystems if discharged untreated. In the study, a fungal-based remediation approach was investigated for the removal of pollutants from aquaculture wastewater collected from Baltim Station ponds (31.55244° N, 31.092855° E) near Lake Burullus, Egypt. Two native fungal isolates, Aspergillus niger and Aspergillus flavus, were employed for primary mycoremediation experiments, while Ganoderma mbrekobenum was included only in the Plackett-Burman experimental design to evaluate the influence of environmental and nutritional factors on total phosphorus (TP) removal under optimized conditions. The fungal treatment significantly improved water quality, showing substantial reductions in total protein, phosphorus, nitrogen, organic matter, and chemical oxygen demand (COD) indicating a vital role of Aspergillus species in the bioremediation of nutrient-rich aquatic environments. The Plackett-Burman design (PBD) showed that fungal treatment significantly reduced pollutant concentrations with higher metabolic activity and enzymatic production as dehydrogenase and total protein from 9 to 12 days. Moreover, PBD identified KH

Indexed as

AquacultureAspergillus flavusAspergillus nigerWastewaterWater Pollutants, ChemicalBiodegradation, EnvironmentalBiological Oxygen Demand AnalysisBiomassNitrogenPhosphorusNitrogenPhosphorusWastewaterWater Pollutants, ChemicalAquaculture effluentAspergillus nigerFungal BiotreatmentMycoremediationNutrient removalPhosphorus reductionPlackett–Burman design

Identifiers

PMID41348406
PMCPMC12680724

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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.