Evidence map›Paper›PMID 41951705›Full record

ArticleScientific reports2026

Design and implementation of Cs/GO/TiO

Khaled S Amin, Mahmoud S Ghanem, Mohamed M Mahmoud, Amged G El-Srougy, Hanan Elhaes, Medhat A Ibrahim

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.

  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

6 authors.

Khaled S AminPhysics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt.
Mahmoud S GhanemPhysics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt.
Mohamed M MahmoudPhysics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt.
Amged G El-SrougyPhysics Department, Faculty of Science, Mansoura University, Mansoura, Egypt.
Hanan ElhaesPhysics Department, Faculty of Women for Arts, Science and Education, Ain Shams University, 11757, Cairo, Egypt.
Medhat A IbrahimSpectroscopy Department, National Research Centre, 33 El-Bohouth St., 12622, Dokki, Giza, Egypt. Medhat.AbdElkhalk@bnu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The persistent presence of sulfamethoxazole (SMX), a widely used antibiotic, in aquatic environments poses significant ecological and health risks. This issue stems largely from its incomplete removal by conventional wastewater treatment processes. In this study, density functional theory (DFT) calculations were employed to investigate the adsorption behavior of hydrated SMX on chitosan/graphene oxide/titanium dioxide (Cs/GO/TiO2) composites. Two adsorption configurations were examined: interaction via the amine (–NH2) group of chitosan and coordination between the isoxazole nitrogen of SMX and TiO2. Electronic and topological properties were analyzed using total dipole moment (TDM), HOMO–LUMO energy gap (ΔE), molecular electrostatic potential (MESP), global reactivity descriptors (GRDs), density of states (TDOS/PDOS/OPDOS), quantum theory of atoms in molecules (QTAIM), and non-covalent interaction (NCI) analyses. The results reveal increased polarity, reduced energy gaps, and notable charge redistribution upon adsorption. The calculated adsorption energies (–2.31 eV and − 3.69 eV) indicate energetically favorable interactions, with relative stability depending on the adsorption site. These findings provide atomic-level insight into SMX–composite interactions and highlight the potential role of Cs/GO/TiO₂ composites in adsorption-based removal of antibiotic contaminants.

Indexed as

DFTGraphene oxide (GO)QTAIMSulfamethoxazoleTitanium dioxide (TiO2)Total density of states

Identifiers

PMID41951705
PMCPMC13069081

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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.