Evidence map›Paper›PMID 41986492›Full record

ArticleScientific reports2026

Developing giant grass biochar-Fe₃O₄-g-C₃N₄ composite for the adsorption of methylene blue from aqueous solutions.

Jemal Fito Nure, Hanife Sari Erkan, Saeideh Babaee, Mahdi Hassan, Potlako J Mafa, Solomon Tibebu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

6 authors.

Jemal Fito NureEnvironmental Engineering Department, Civil Engineering Faculty, Yildiz Technical University, Davutpasa, Esenler, İstanbul, 34220, Turkey. fitojemal120@gmail.com.ORCID http://orcid.org/0000-0002-7770-3789
Hanife Sari ErkanEnvironmental Engineering Department, Civil Engineering Faculty, Yildiz Technical University, Davutpasa, Esenler, İstanbul, 34220, Turkey.
Saeideh BabaeeSchool of Chemical and Metallurgical Engineering, University of the Witwatersrand, 1 Jorissen St, Johannesburg, 2000, South Africa.
Mahdi HassanEnvironmental Engineering Department, Civil Engineering Faculty, Yildiz Technical University, Davutpasa, Esenler, İstanbul, 34220, Turkey.
Potlako J MafaInstitute for Nanotechnology and Water Sustainability (iNanoWS), College of Science, Engineering and Technology, University of South Africa, Florida Science Campus, Johannesburg, 1710, South Africa.
Solomon TibebuDepartment of Environmental Engineering, College of Engineering, Addis Ababa Science and Technology University, Addis Ababa, 16417, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of methylene blue (MB) in textile effluents poses significant environmental and public health risks. Therefore, this study aimed to develop a giant grass biochar magnetite graphitic carbon nitride (BC-Fe₃O₄-g-C₃N₄) composite adsorbent via a co-precipitation method for the effective removal of MB from aqueous solutions. The adsorbent was characterized through proximate analysis, BET, FTIR, SEM, and pHpzc measurements. The adsorption process was evaluated considering the effects of adsorbent dose, pH, initial MB concentration, and contact time using a Central Composite Design (CCD) within Response Surface Methodology (RSM). The material characterization results showed a high fixed carbon content of 55.06%, a low ash content of 4.02%, and a BET specific surface area of 690 m

Indexed as

AdsorptionComposite adsorbentDyeFactorial designWastewater remediationWater pollution

Identifiers

PMID41986492
PMCPMC13443173

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.