Optimizing Solvent Systems for Effective Lutein Solvation: A Molecular Dynamics Approach Using 2‐Methyl Tetrahydrofuran, Deep Eutectic Solvent, Microemulsion, and Hexane

Abstract The critical importance of solvent selection in lutein solvation lies in its significant commercial value and health benefits. This study employs molecular dynamics (MD) simulations to elucidate the atomic‐level interactions of lutein with 2‐methyl tetrahydrofuran (2‐MeTHF), a microemulsion system (Tween 80: n‐propanol: isoamyl acetate: water), a deep eutectic solvent (DES) (choline chloride: glucose, 1:3 molar ratio), and hexane. This study addresses the gap in atomic‐scale understanding of lutein‐solvent interactions by providing a comparative analysis. MD simulations offer comprehensive insights into structural properties, such as radial distribution functions (RDF), hydrogen bonding (H‐bonding) dynamics, and transport properties like mean square displacement (MSD) within these solvent systems. The analysis reveals that DES exhibits the highest suitability for lutein solvation among the solvents studied, suggesting its potential to enhance extraction efficiency while significantly reducing environmental impact, which is validated by experimental literature. These findings contribute to developing more efficient, sustainable, and environmentally friendly extraction techniques for lutein and similar bioactive compounds, potentially benefiting the extraction of other xanthophylls and structurally related molecules.

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Publication Details

Journal
Macromolecular Theory and Simulations
Published
2025-05-14
DOI
https://doi.org/10.1002/mats.202500016
Citations
1
Primary Topic
Ionic liquids properties and applications
Type
article
Field-Weighted Citation Impact
0.39
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article

Optimizing Solvent Systems for Effective Lutein Solvation: A Molecular Dynamics Approach Using 2‐Methyl Tetrahydrofuran, Deep Eutectic Solvent, Microemulsion, and Hexane

Debashis Kundu, Rontu Das, Navnath T. Hatvate, Ayush S. Gulhane
1 citations
Macromolecular Theory and Simulations
Ionic liquids properties and applications
0.39
article

Optimizing Solvent Systems for Effective Lutein Solvation: A Molecular Dynamics Approach Using 2‐Methyl Tetrahydrofuran, Deep Eutectic Solvent, Microemulsion, and Hexane

Debashis Kundu, Rontu Das, Navnath T. Hatvate, Ayush S. Gulhane
article en
1 citations

Abstract

Abstract The critical importance of solvent selection in lutein solvation lies in its significant commercial value and health benefits. This study employs molecular dynamics (MD) simulations to elucidate the atomic‐level interactions of lutein with 2‐methyl tetrahydrofuran (2‐MeTHF), a microemulsion system (Tween 80: n‐propanol: isoamyl acetate: water), a deep eutectic solvent (DES) (choline chloride: glucose, 1:3 molar ratio), and hexane. This study addresses the gap in atomic‐scale understanding of lutein‐solvent interactions by providing a comparative analysis. MD simulations offer comprehensive insights into structural properties, such as radial distribution functions (RDF), hydrogen bonding (H‐bonding) dynamics, and transport properties like mean square displacement (MSD) within these solvent systems. The analysis reveals that DES exhibits the highest suitability for lutein solvation among the solvents studied, suggesting its potential to enhance extraction efficiency while significantly reducing environmental impact, which is validated by experimental literature. These findings contribute to developing more efficient, sustainable, and environmentally friendly extraction techniques for lutein and similar bioactive compounds, potentially benefiting the extraction of other xanthophylls and structurally related molecules.

Macromolecular Theory and SimulationsVol. 34(5)
Institute of Chemical Technology (IN)
Openalex Percentile: Top 45%
Ionic liquids properties and applications
0.39
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Optimizing Solvent Systems for Effective Lutein Solvation: A Molecular Dynamics Approach Using 2‐Methyl Tetrahydrofuran, Deep Eutectic Solvent, Microemulsion, and Hexane — Debashis Kundu, Rontu Das, et al. · Macromolecular Theory and Simulations (2025) | TGRS Research Map | TGRS