Evidence map›Paper›PMID 39942652›Full record

ArticleMolecules (Basel, Switzerland)2025

Green Extraction of Carotenoids from Pumpkin By-Products Using Natural Hydrophobic Deep Eutectic Solvents: Preliminary Insights.

Lucia Sportiello, Emanuele Marchesi, Roberta Tolve, Fabio Favati

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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

4 authors.

Lucia SportielloDepartment of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.
Emanuele MarchesiDepartment of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.ORCID 0009-0001-7973-8838
Roberta TolveDepartment of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.ORCID 0000-0002-3384-0888
Fabio FavatiDepartment of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.ORCID 0000-0002-5243-800X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural hydrophobic deep eutectic solvents (NaHDESs), composed of natural components like menthol, fatty acids, and organic acids, are sustainable alternatives to conventional solvents for extracting carotenoids from agro-industrial by-products. This study assessed the performance of nine NaHDESs for extracting β-carotene from pumpkin peels, identifying DL-menthol/lactic acid (1:2) as the most effective solvent, achieving a yield of 0.823 ± 0.019 mg/mL of β-carotene, corresponding to 93.95% of the yield obtained using acetone. Optimization through Box-Behnken design (BBD) and response surface methodology (RSM) established ideal extraction conditions: a molar ratio of HBA:HBD at 1:4, a solvent-to-sample ratio of 26:1, and an extraction time of 30 min. These conditions maximized β-carotene recovery while minimizing energy consumption and process costs. Using NaHDESs facilitates the valorization of food waste, achieving extraction efficiencies of up to 25.05% of the theoretical carotenoid content in pumpkin peels. Their high performance and environmentally friendly profile underscore the potential of NaHDESs as sustainable alternatives to conventional solvents.

Indexed as

CarotenoidsCucurbitaDeep Eutectic SolventsPlant Extractsbeta CaroteneGreen Chemistry TechnologyHydrophobic and Hydrophilic InteractionsSolventsbeta CaroteneCarotenoidsDeep Eutectic SolventsPlant ExtractsSolventscarotenoid extractiongreen chemistryNaHDESspumpkin by-productssustainable solvents

Identifiers

PMID39942652
PMCPMC11820577

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Registered trials

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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.