Evidence map›Paper›PMID 42295479›Full record

ArticleBiodegradation2026

Integrated machine learning and design of experiments approach for optimizing malachite green adsorption onto treated peanut shell (Arachis hypogaea) with DFT insights into the adsorption mechanism.

Mounir Daoud, Mohammed Aouf, Hadj Daoud Bouras, Meriam Imane Babaghayou, Pierre Girods, Yann Rogaume, Romain Chevigny, Sébastien Fontana

Abstract read
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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. 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. 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

8 authors.

Mounir DaoudLaboratoire d'Etude Physico-Chimique des Matériaux et Application À l'Environnement, Faculté de Chimie, USTHB, Bab Ezzouar, BP 32 El-Alia, 16111, Algiers, Algeria. daoud.mounir@univ-ghardaia.edu.dz.
Mohammed AoufFaculty of Science and Technology, University of Ghardaia, BP455, 47000, Ghardaia, Algeria.
Hadj Daoud BourasFaculty of Science and Technology, University of Ghardaia, BP455, 47000, Ghardaia, Algeria.
Meriam Imane BabaghayouApplied Chemical and Physical Sciences Laboratory, Ecole Normale Supérieure, 03000, Laghouat, Algeria.
Pierre GirodsUniversité de Lorraine, NRAE, LERMAB, F-88000, EPINAL, France.
Yann RogaumeUniversité de Lorraine, NRAE, LERMAB, F-88000, EPINAL, France.
Romain ChevignyUniversité de Lorraine, CNRS, IJL, F-54000, Nancy, France.
Sébastien FontanaUniversité de Lorraine, CNRS, IJL, F-54000, Nancy, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the efficient removal of Malachite Green (MG) dye from aqueous solutions using a chemically treated peanut shell (Arachis hypogaea) agro-residue biosorbent (TPS). The biosorbent was prepared via sulfuric acid treatment and comprehensively characterized using N

Indexed as

ArachisMachine LearningRosaniline DyesWater Pollutants, ChemicalAdsorptionBiodegradation, EnvironmentalDensity Functional TheoryKineticsNeural Networks, ComputerSpectroscopy, Fourier Transform Infraredmalachite greenRosaniline DyesWater Pollutants, ChemicalAdsorption optimizationArtificial neural network (ANN)Density functional theory (DFT)Malachite greenPeanut shell biosorbent

Identifiers

What OpenQuestion 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 OpenQuestion graph.