Explainable Artificial Intelligence Assisted Modeling of Malachite Green Adsorption onto SBA-15-Zn-Fe Composite.

Memduha Ergüt, Salih Ozbay, Seda Karateke, Metin Zontul

Abstract read

In one paragraph

Article in Molecules (Basel, Switzerland), 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

4 authors.

Memduha ErgütDepartment of Chemical Engineering, Faculty of Engineering and Natural Sciences, Sivas University of Science and Technology, 58000 Sivas, Türkiye.ORCID 0000-0001-7297-1533

Salih OzbayDepartment of Chemical Engineering, Faculty of Engineering and Natural Sciences, Sivas University of Science and Technology, 58000 Sivas, Türkiye.ORCID 0000-0002-3630-5960

Seda KaratekeDepartment of Software Engineering, Faculty of Engineering and Natural Sciences, Istanbul Atlas University, 34408 Istanbul, Türkiye.ORCID 0000-0003-1219-0115

Metin ZontulDepartment of Computer Engineering, Faculty of Engineering and Natural Sciences, Sivas University of Science and Technology, 58000 Sivas, Türkiye.ORCID 0000-0002-7557-2981

Funding

Sivas University of Science and Technology 2023-GENL-Müh-0014

6 · The paper itself

Abstract

Dye-containing industrial effluents pose substantial risks to aquatic ecosystems. In this study, a material prepared using the stated SBA-15-Zn-Fe synthesis procedure was evaluated for malachite green (MG) removal and modeled using machine-learning and explainable artificial intelligence techniques. The dataset comprised 315 experimental observations covering initial MG concentrations of 100-500 mg L

Indexed as

data leakageexplainable artificial intelligence (XAI)malachite green adsorptionmultilayer perceptron (MLP)SBA-15–Zn–Fe compositeSHAP analysis

Identifiers

PMID42738665

DOI10.3390/molecules31173005

PMCPMC13566982

What OpenQuestion holds

Textmetadata

Read underepoch 390

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.