Modeling and optimization of methylene blue adsorption on biochar via artificial neural network (ANN).

Sousna Sahnoun, Amina Aichour, Hakim Djafer Khodja, Oussama Ounissi, Garmia Derafa, Djomana Adhimi, Norelhouda Badis, Farid Ait Merzeg

Abstract read

PubMed Publisher

In one paragraph

Article in Biodegradation, 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

8 authors.

Sousna SahnounDepartment of Polymers Engineering, Institute of Materials Science and Techniques, University of Ferhat Abbas Setif-1, 19000, Setif, Algeria.

Amina AichourLaboratory of Chemical Process Engineering, Department of Process Engineering, Faculty of Sciences and Technology, University of Ferhat Abbas Setif-1, 19000, Setif, Algeria. a.aichour@univ-bouira.dz.

Hakim Djafer KhodjaLaboratory of Processes for Materials, Energy, Water and Environment. Faculty of Science and Technology, University of Akli Mohaned Ouelhadj, 10000, Bouira, Algeria.

Oussama OunissiLaboratory of Processes for Materials, Energy, Water and Environment. Faculty of Science and Technology, University of Akli Mohaned Ouelhadj, 10000, Bouira, Algeria.

Garmia DerafaDepartment of Polymers Engineering, Institute of Materials Science and Techniques, University of Ferhat Abbas Setif-1, 19000, Setif, Algeria.

Djomana AdhimiDepartment of Process Engineering, Faculty of Sciences and Technology, University of Ferhat Abbas Setif-1, 19000, Setif, Algeria.

Norelhouda BadisDepartment of Process Engineering, Faculty of Sciences and Technology, University of Ferhat Abbas Setif-1, 19000, Setif, Algeria.

Farid Ait MerzegScientific and Technical Research Center in Physical and Chemical Analyses (CRAPC), BP 384 Bou-Ismail, 42004, Tipaza, RP, Algeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the adsorption of methylene blue (MB) from aqueous solution using citrus peel biochar (CPB) and develops a predictive modeling framework based on Artificial Neural Networks (ANN) for process optimization. CPB was prepared by carbonization process under limited oxygen at 750 °C and 10 °C/min heating rate. A yield of 21.30 ± 0.5% was obtained. The prepared biochar is characterized by several techniques. FTIR analysis demonstrates the presence of the characterized functional groups on the biochar surface. The thermogravimetric analysis of biochar shows three main stages of weight loss. CPB exhibits relatively high thermal stability due to the formation of a carbon-rich structure after carbonization. SEM images reveal that the produced biochar exhibits a highly heterogeneous and porous surface morphology characterized by an irregular sponge-like architecture with numerous cavities and interconnected channels. The specific surface area of CPB was indirectly estimated using the methylene blue adsorption method, yielding a value of 242.81m

Indexed as

CharcoalMethylene BlueNeural Networks, ComputerWater Pollutants, ChemicalAdsorptionCitrusHydrogen-Ion ConcentrationTemperatureWater PurificationbiocharCharcoalMethylene BlueWater Pollutants, ChemicalArtificial neural networkCitrus peels biocharDye removalProcess optimizationWastewater

Identifiers

PMID41925959

DOI10.1016/j.jaap.2024.106463

What Socratic holds

Textmetadata

Read underepoch 390

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 Socratic graph.