Evidence map›Paper›PMID 42363776›Full record

ArticleChemSusChem2026

Tunable Natural Deep Eutectic Solvents-Driven Fractionation of Olive Pomace in an Integrated Biorefinery: Linking Lignin Structural Tailoring to Carbohydrate Valorization and Biopolymer Production.

Ivelina Ivaylova Dzhambazova, Maria Laura Alfieri, Lucia Panzella, Ozge Sakyan Demirkol, Fabio De Stefano, Cinzia Pezzella, Simona Varriale

Abstract read
In one paragraph

Article in ChemSusChem, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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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

7 authors.

Ivelina Ivaylova DzhambazovaDepartment of Chemical Sciences, University of Naples Federico II, Naples, Italy.ORCID 0009-0007-7017-0418
Maria Laura AlfieriDepartment of Chemical Sciences, University of Naples Federico II, Naples, Italy.ORCID 0000-0002-4602-3633
Lucia PanzellaDepartment of Chemical Sciences, University of Naples Federico II, Naples, Italy.ORCID 0000-0002-2662-8205
Ozge Sakyan DemirkolDepartment of Food Engineering, Ankara University, Golbasi, Ankara, Türkiye.ORCID 0000-0002-0778-8211
Fabio De StefanoDepartment of Chemical Sciences, University of Naples Federico II, Naples, Italy.ORCID 0000-0002-5724-2292
Cinzia PezzellaDepartment of Chemical Sciences, University of Naples Federico II, Naples, Italy.ORCID 0000-0001-5694-472X
Simona VarrialeDepartment of Chemical Sciences, University of Naples Federico II, Naples, Italy.ORCID 0000-0003-3054-3375

Funding

This work was supported by European Union Partnership for Research and Innovation in the Mediterranean Area (PRIMA) P2P/PRIMA/0123/0062
6 · The paper itself

Abstract

The development of sustainable biorefineries requires integrated fractionation strategies capable of preserving carbohydrate streams while generating high-value lignin and bioactive fractions. In this study, olive pomace was valorized through a cascade approach combining optimized microwave-assisted extraction (MAE) of phenolic compounds, natural deep eutectic solvents (NADES)-enabled pretreatment, and chemo-enzymatic modification. MAE enabled recovery of a phenolic-rich fraction and reduced inhibitory compounds in the residual biomass, improving its suitability for downstream processing. The dephenolized substrate was subsequently subjected to NADES-based fractionation using acidic, alkaline, and neutral systems, including a laccase-assisted variant. Pretreatment performance depended on solvent chemistry. The acidic system (ChCl:lactic acid) achieved high delignification (≈68%) but produced restructured lignin with extensive β-O-4 cleavage. The alkaline NADES (K

Indexed as

CarbohydratesChemical FractionationDeep Eutectic SolventsLigninOleaBiopolymersLaccaseMicrowavesSolventsBiopolymersCarbohydratesDeep Eutectic SolventsLaccaseLigninSolventsantioxidantsbiomassdeep eutectic solventsenzymatic saccharificationligninpolyhydroxyalkanoates

Identifiers

PMID42363776
PMCPMC13309918

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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.