Evidence map›Paper›PMID 41976160›Full record

ArticleMolecules (Basel, Switzerland)2026

Predicting Solubility Enhancement of

Iván Montenegro, Ángeles Domínguez, Begoña González, Elena Gómez

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Iván MontenegroFEQx Lab, Department of Chemical Engineering, University of Vigo, 36310 Vigo, Spain.ORCID 0009-0002-7989-8302
Ángeles DomínguezFEQx Lab, Department of Chemical Engineering, University of Vigo, 36310 Vigo, Spain.ORCID 0000-0002-6695-4064
Begoña GonzálezFEQx Lab, Department of Chemical Engineering, University of Vigo, 36310 Vigo, Spain.ORCID 0000-0002-3380-2494
Elena GómezFEQx Lab, Department of Chemical Engineering, University of Vigo, 36310 Vigo, Spain.ORCID 0000-0003-3324-4733

Funding

Xunta de Galicia GPC-ED431B 2023/25
6 · The paper itself

Abstract

The solubility values of polyphenolic compounds in different extraction solvents are crucial for their recovery from natural matrices. Hansen solubility parameters (HSPs) stand out as a predictive tool for evaluating solute-solvent affinity and thus rational solvent selection for extraction processes. In this study, HSPs of

Indexed as

extractionHansen solubility parametershesperetinpolyphenolssolubilitytrans-resveratrol

Identifiers

PMID41976160
PMCPMC13074312

What OpenQuestion holds

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Registered trials

None linked

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.