Comparative analysis of ANFIS, ANN, and BBD for enhanced prediction of methyl orange adsorption in water treatment.

Abstract read

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. 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.

Adsorption-assisted removal of chlorinated pollutants using a magnetically recoverable FeRSC advances · 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

2 authors.

Simon BbumbaDepartment of Chemistry, College of Natural Sciences, Makerere University, P.O. Box 7062, Kampala, Uganda. sbbumba@ndejjeuniversity.ac.ug.ORCID http://orcid.org/0009-0005-9366-3464

Ibrahim KarumeDepartment of Chemistry, College of Natural Sciences, Makerere University, P.O. Box 7062, Kampala, Uganda. ibrahim.karume@mak.ac.ug.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work focused on the enhanced prediction of methyl orange removal (MO) from water by activated carbon synthesized from banana peels. Characterization was done using powder X-ray diffraction (PXRD), Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), scanning electron microscopy (SEM), and Brunauer-Emmett-Teller (BET). Modeling and prediction of process variables, pH (5-9), time (3-60 min), and temperature (25-50 °C), was carried out using Box-Behnken design (BBD), artificial neural networks (ANN), and adaptive neuro-fuzzy inference system (ANFIS). Performance metrics of R

Indexed as

Activated carbonAdaptive neural fuzzy inference systemArtificial neural networkMethyl orangeResponse surface methodology

Identifiers

PMID41803358

DOI10.1038/s41598-026-43445-4

PMCPMC13096222

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.