Evidence map›Paper›PMID 40603875›Full record

ArticleScientific reports2025

Chitosan/ferrous oxide nanocomposite for the sunlight-driven photocatalytic degradation of organic azo dye in aqueous solutions and aquaculture effluents wastewater.

Ahmed E Alprol, Ahmed Bakr, Sameerah I Al-Saeedi, Abdallah Tageldein Mansour, Ehab El-Haroun, Maymounah N Alharthi, Mohamed Ashour

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Ahmed E AlprolNational Institute of Oceanography and Fisheries (NIOF), Cairo, 11516, Egypt.
Ahmed BakrEnvironment and Bio-agriculture Department, Faculty of Agriculture, Al-Azhar University, Cairo, Egypt.
Sameerah I Al-SaeediDepartment of Chemistry, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Abdallah Tageldein MansourAnimal and Fish Production Department, College of Agricultural and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia. amansour@kfu.edu.sa.
Ehab El-HarounDepartment of Integrative Agriculture, College of Agriculture and Veterinary Medicine, United Arab Emirates University, Al Ain, P.O. Box 15551, Abu Dhabi, United Arab Emirates. ehab.reda@uaeu.ac.ae.
Maymounah N AlharthiDepartment of Chemistry, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Mohamed AshourNational Institute of Oceanography and Fisheries (NIOF), Cairo, 11516, Egypt. microalgae_egypt@yahoo.com.

Funding

King Faisal University KFU250399Princess Nourah Bint Abdulrahman University PNURSP2025R58
6 · The paper itself

Abstract

The current work presents a novel and sustainable approach that uses the synthesized Chitosan/Ferrous Oxide Nanocomposite (CFON) to remove the organic azo dye, Acid Red 73 (AR73), a hazardous pollutant commonly found in industrial wastewater, from aqueous solutions and aquaculture effluents wastewater. The CFON exhibited excellent photocatalytic degradation performance under sunlight irradiation. Batch adsorption experiments were conducted to investigate the influence of various parameters on the removal efficiency of the dye, including pH, contact time, adsorbent dosage, initial concentration, and temperature. The results showed that the nanocomposite effectively achieved a maximum removal percentage of 99.3% under optimal conditions (pH 5 for 180 min at 80 and 100 mg with 75 mg L

Indexed as

Acid red 73 dyeAdsorptionChitosanFerrous oxideNanocompositePhotocatalysisWastewater treatmentWater quality

Identifiers

PMID40603875
PMCPMC12222738

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.