Evidence map›Paper›PMID 40863732›Full record

ArticleMethods and protocols2025

Green Chemistry and Multivariate Optimization in the Extraction of Phenolic Compounds: The Potential of NaDES in Alternative Raw Materials for Expanded Extrudates.

Mateus Alves Araújo, Bianca Rodrigues Morais, João Pedro da Silva Santos, Larissa Karla de Jesus, Kaliston Aurélio Lomba, Gustavo Costa do Nascimento, Marcus Alvarenga Soares, Nathalia de Andrade Neves, Irene Andressa, Maria Teresa Pedrosa Silva Clerici and 1 more

Abstract read
In one paragraph

Article in Methods and protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Plants (Basel, Switzerland) · 2025
    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

11 authors.

Mateus Alves AraújoInstitute of Science and Technology, Federal University of Jequitinhonha and Mucuri Valleys, Diamantina 39100-000, Minas Gerais, Brazil.ORCID 0000-0002-5363-7473
Bianca Rodrigues MoraisInstitute of Science and Technology, Federal University of Jequitinhonha and Mucuri Valleys, Diamantina 39100-000, Minas Gerais, Brazil.
João Pedro da Silva SantosInstitute of Science and Technology, Federal University of Jequitinhonha and Mucuri Valleys, Diamantina 39100-000, Minas Gerais, Brazil.
Larissa Karla de JesusInstitute of Science and Technology, Federal University of Jequitinhonha and Mucuri Valleys, Diamantina 39100-000, Minas Gerais, Brazil.
Kaliston Aurélio LombaInstitute of Science and Technology, Federal University of Jequitinhonha and Mucuri Valleys, Diamantina 39100-000, Minas Gerais, Brazil.ORCID 0009-0005-5070-2881
Gustavo Costa do NascimentoSchool of Food Engineering, University of Campinas, Campinas 13083-970, São Paulo, Brazil.ORCID 0000-0002-1624-1621
Marcus Alvarenga SoaresFaculty of Agricultural Sciences, Federal University of Jequitinhonha and Mucuri Valleys, Diamantina 39100-000, Minas Gerais, Brazil.ORCID 0000-0002-8725-3697
Nathalia de Andrade NevesInstitute of Science and Technology, Federal University of Jequitinhonha and Mucuri Valleys, Diamantina 39100-000, Minas Gerais, Brazil.
Irene AndressaDepartament of Food Technology, Federal University of Viçosa, Viçosa 36570-900, Minas Gerais, Brazil.ORCID 0000-0002-5378-1299
Maria Teresa Pedrosa Silva ClericiSchool of Food Engineering, University of Campinas, Campinas 13083-970, São Paulo, Brazil.ORCID 0000-0002-8445-336X
Marcio SchmieleInstitute of Science and Technology, Federal University of Jequitinhonha and Mucuri Valleys, Diamantina 39100-000, Minas Gerais, Brazil.ORCID 0000-0001-8830-1710

Funding

Coordination for the Improvement of Higher Education Personnel #88887.677794/2022-00Coordination for the Improvement of Higher Education Personnel #88887.990587/2024-00Minas Gerais State Research Support Foundation #7640National Council for Scientific and Technological Development (#312660/2023-5),(140834/2023-0), (#312759/2025-8).
6 · The paper itself

Abstract

Phenolic compounds are secondary metabolites widely distributed among plants, with bioactive properties, especially antioxidant activity. The search for sustainable extraction methods has driven the use of natural deep eutectic solvents (NaDESs), formed by combinations of natural compounds, such as organic acids, sugars, alcohols, and amino acids. This study optimized NaDES (sorbitol, citric acid, and glycine) efficiency and compared it to that of 70% methanol solution in extracting total soluble phenolic compounds (TSPCs) from six flours matrices-corn, buckwheat, biofortified orange sweet potato, red lentil, Sudan grass, and chickpea-before and after thermoplastic extrusion cooking. Quantification was performed using the Folin-Ciocalteu method, with statistical analysis at the 10% significance level. In general, the methanolic extracts showed higher TSPC levels in the raw materials, whereas the levels were higher in NaDESs for legumes. After extrusion, a reduction in the TSPC levels was observed, except in the sweet potato. Multivariate analysis (PLS-DA and heatmap) distinguished the raw and extruded samples, revealing structural and chemical changes from thermal processing. The AGREE scores were 0.7 (NaDES) and 0.54 (methanol), favoring NaDES. The BAGI score (75.0) confirmed the method's robustness and suitability for sustainable analytical applications.

Indexed as

AGREE metriccerealextrusiongreen extractionlegumesmultivariate analysissnacks

Identifiers

PMID40863732
PMCPMC12388042

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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.