PreprintCited by 41Ionic liquids properties and applicationsPhase Equilibria and ThermodynamicsPolysaccharides Composition and Applications

Rationalizing Polysaccharide Extraction with Deep Eutectic Solvents: From Supramolecular Architecture to Emerging AI-Guided Solvent Design

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Al-Akayleh, Faisal, Ali Agha, Ahmed S.A., Olaimat, Ali R., Qinna, Nidal A.·2025·Polysaccharides

Preprint — published as 10.3390/polysaccharides6030082

Abstract

Deep eutectic solvents (DESs) have emerged as sustainable and tunable alternatives to conventional solvents for the extraction polysaccharides. This review presents a struc-ture-informed framework linking DES composition to polysaccharide solubility, em-phasizing the differential responsiveness of amorphous, interfacial, and crystalline domains. Amorphous polysaccharides are efficiently extracted under mild DES condi-tions, while crystalline polymers often require stronger hydrogen bond acceptors or thermal/mechanical activation. Beyond dissolution, DESs modulate key properties of the extracted polysaccharides, including molecular weight, monomer composition, and bioactivity. Comparative analysis highlights how acidic, basic, or metal-coordinating DESs selectively target distinct polymer classes. Emerging innovations, such as in situ DES formation, mechanochemical systems, and switchable solvents, enhance efficiency and reduce downstream processing demands. Furthermore, the integration of machine learning and COSMO-RS modeling enables predictive solvent design, reducing reliance on empirical screening. By combining mechanistic insight, compositional tailoring, and computational tools, this review provides a scientifically grounded perspective for ad-vancing DES-mediated extraction processes and enabling structure-preserving, appli-cation-oriented recovery of polysaccharides in food, pharmaceutical, and biorefinery domains.

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  9. Disclaimer/Publisher's Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. Preprints.org (www.preprints.org) | NOT PEER-REVIEWED | Posted: Posted: 8 July 2025 doi:10.20944/preprints202507.0571.v1

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Authors
Al-Akayleh, F., Ali Agha, A. S. A., Olaimat, A. R., & Qinna, N. A.
Affiliations
  • University of Modena and Reggio Emilia (IT)
  • Petra University (JO)
Venue
Polysaccharides
Publisher
MDPI AG
Published
2025-07-08
Volume
6
Issue
3
Pages
82-82
ISSN
2673-4176 (ISSN-L)
OpenAlex
W4414096675
Cited by
41
References
180
Citations by year
2026: 38 · 2025: 3
FWCI
5.53
Type
journal article
Language
en
Open access
Locations
  • Polysaccharides (publishedVersion, cc-by)
  • Preprints.org (acceptedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Chemical Engineering › Catalysis › Ionic liquids properties and applications
  • Physical Sciences › Engineering › Biomedical Engineering › Phase Equilibria and Thermodynamics
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Polysaccharides Composition and Applications
Keywords
deep eutectic solvents, polysaccharide extraction, solvent design, polysaccharide solubility, hydrogen bond acceptors, switchable solvents, machine learning, COSMO-RS, molecular weight distribution, polysaccharide bioactivity, biorefinery

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