DFT analysis of fenethylline (Captagon): Investigating its interaction with graphene as a potential adsorbent

Fenethylline, commonly known as Captagon, is a stimulant with amphetamine-like properties that has gained notoriety due to its widespread illicit use, particularly in conflict zones. Its ease of synthesis and environmental persistence necessitate effective remediation strategies. This study investigates the adsorption potential of graphene (G) for Captagon removal using a multi-scale computational approach, including density functional theory (DFT), Monte Carlo (MC), and molecular dynamics (MD) simulations. The interaction between Captagon and graphene was analyzed in both perpendicular and parallel adsorption configurations. The results indicate that the parallel orientation exhibits superior adsorption stability, with an adsorption energy of –51.15 kcal mol⁻1, primarily driven by π–π stacking interactions. Frontier molecular orbital (FMO) analysis further reveals significant alterations in graphene's electronic properties upon Captagon adsorption, with noticeable shifts in the Highest Occupied Molecular Orbital (HOMO) and Lowest Unoccupied Molecular Orbital (LUMO) energy levels and bandgap (Egap). The molecular dynamics simulations confirm the stability of the Captagon-graphene complex, reinforcing graphene's potential as a viable adsorbent. These findings highlight graphene's efficiency in Captagon removal, suggesting its broader applicability in water purification and environmental remediation strategies.

Authors

Institutions

Publication Details

Journal
Macedonian Journal of Chemistry and Chemical Engineering
Published
2025-06-27
DOI
https://doi.org/10.20450/mjcce.2025.3098
Primary Topic
Molecular Junctions and Nanostructures
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DFT analysis of fenethylline (Captagon): Investigating its interaction with graphene as a potential adsorbent

Авни Бериша, Mahamadou Seydou, Omar Dagdag, Valbonë Mehmeti et al.
Macedonian Journal of Chemistry and Chemical Engineering
Molecular Junctions and Nanostructures
article

DFT analysis of fenethylline (Captagon): Investigating its interaction with graphene as a potential adsorbent

Авни Бериша, Mahamadou Seydou, Omar Dagdag, Valbonë Mehmeti, Savaş Kaya, Vllaznim Mula, Moussa Djibrilla Maiga
article en

Abstract

Fenethylline, commonly known as Captagon, is a stimulant with amphetamine-like properties that has gained notoriety due to its widespread illicit use, particularly in conflict zones. Its ease of synthesis and environmental persistence necessitate effective remediation strategies. This study investigates the adsorption potential of graphene (G) for Captagon removal using a multi-scale computational approach, including density functional theory (DFT), Monte Carlo (MC), and molecular dynamics (MD) simulations. The interaction between Captagon and graphene was analyzed in both perpendicular and parallel adsorption configurations. The results indicate that the parallel orientation exhibits superior adsorption stability, with an adsorption energy of –51.15 kcal mol⁻1, primarily driven by π–π stacking interactions. Frontier molecular orbital (FMO) analysis further reveals significant alterations in graphene's electronic properties upon Captagon adsorption, with noticeable shifts in the Highest Occupied Molecular Orbital (HOMO) and Lowest Unoccupied Molecular Orbital (LUMO) energy levels and bandgap (Egap). The molecular dynamics simulations confirm the stability of the Captagon-graphene complex, reinforcing graphene's potential as a viable adsorbent. These findings highlight graphene's efficiency in Captagon removal, suggesting its broader applicability in water purification and environmental remediation strategies.

Macedonian Journal of Chemistry and Chemical EngineeringVol. 44(1)
Sivas Cumhuriyet Üniversitesi (TR), Gachon University (KR), Centre National de la Recherche Scientifique (FR), Université Paris Cité (FR), Sorbonne Paris Cité (FR), Université des Sciences, des Techniques et des Technologies de Bamako (ML), Interfaces Traitements Organisation et Dynamique des Systèmes (FR), Universiteti i Gjakovës “Fehmi Agani”, University of Prishtina (XK)
Openalex Percentile: Top 87%
Molecular Junctions and Nanostructures
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.