Evidence map›Paper›PMID 41210755›Full record

ArticleACS omega2025

High Efficiency of the Graphene-Decorated Boron Nitride for Dye Removal from Aqueous Solution: Modeling and Optimization Process Designed for Textile Wastewater Treatment.

Romuald Teguia Doumbi, Paulino Vasco Mariano Muguirrima, Artur de Morais, Felipe Bohn, Carlos A Martínez-Huitle, Igor Cretescu, Marcio Assolin Correa

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Sol-Gel Synthesis of SnOACS omega · 2026
    Article
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.

Romuald Teguia DoumbiPostgraduate Program in Materials Science and Engineering, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte 59078-970, Brazil.ORCID https://orcid.org/0009-0007-7889-4365
Paulino Vasco Mariano MuguirrimaPostgraduate Program in Materials Science and Engineering, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte 59078-970, Brazil.
Artur de MoraisPostgraduate Program in Materials Science and Engineering, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte 59078-970, Brazil.
Felipe BohnDepartment of Physics, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte 59078-970, Brazil.
Carlos A Martínez-HuitleRenewable Energies and Environmental Sustainability Research Group, Institute of Chemistry, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte 59078-970, Brazil.ORCID https://orcid.org/0000-0002-6209-5426
Igor Cretescu"Cristofor Simionescu" Faculty of Chemical Engineering and Environmental Protection, "Gheorghe Asachi" Technical University of Iasi, 73 Blvd, Mangeron, Iasi 700050, Romania.
Marcio Assolin CorreaPostgraduate Program in Materials Science and Engineering, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte 59078-970, Brazil.ORCID https://orcid.org/0000-0002-8904-4151

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study reports the use of graphene-decorated boron nitride (GBN) as an efficient adsorbent for azo dyes, with the aim of treating textile wastewater. GBN was synthesized by a facile route and characterized by XRD, SEM/EDS, TGA-DTA, and BET analyses, revealing a microporous and crystalline structure. Methyl orange (MO) was adopted as a model dye, and batch adsorption experiments were optimized by using response surface methodology (RSM) with pH, adsorbent mass, and initial MO concentration as variables. Results showed that the pH and adsorbent mass were the main factors influencing MO removal. Under optimal conditions (pH 2, 0.062 g of adsorbent, 100 mg/L MO), GBN reached a high adsorption capacity of 322.5 mg/g in 20 min and retained good performance after 10 reuse cycles. The synergistic properties of graphene and boron nitride make GBN a promising material for efficient textile wastewater treatment.

Identifiers

PMID41210755
PMCPMC12593146

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Registered trials

None linked

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.