Evidence map›Paper›PMID 33808664›Full record

ArticleFoods (Basel, Switzerland)2021

Revalorization of Coffee Husk: Modeling and Optimizing the Green Sustainable Extraction of Phenolic Compounds.

Miguel Rebollo-Hernanz, Silvia Cañas, Diego Taladrid, Vanesa Benítez, Begoña Bartolomé, Yolanda Aguilera, María A Martín-Cabrejas

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Mutant Strain ofJournal of microbiology and biotechnology · 2025
    Article
  4. Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Coffee pulp simulated digestion enhances itsCurrent research in food science · 2024
    Article
  11. Article
  12. Antioxidant potential of coffee husks in fresh pork sausage.Journal of food science and technology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

7 authors.

Miguel Rebollo-HernanzDepartment of Agricultural Chemistry and Food Science, Universidad Autónoma de Madrid, 28049 Madrid, Spain.ORCID 0000-0003-1034-1290
Silvia CañasDepartment of Agricultural Chemistry and Food Science, Universidad Autónoma de Madrid, 28049 Madrid, Spain.ORCID 0000-0001-9766-0440
Diego TaladridInstitute of Food Science Research, CIAL (UAM-CSIC), 28049 Madrid, Spain.
Vanesa BenítezDepartment of Agricultural Chemistry and Food Science, Universidad Autónoma de Madrid, 28049 Madrid, Spain.
Begoña BartoloméInstitute of Food Science Research, CIAL (UAM-CSIC), 28049 Madrid, Spain.ORCID 0000-0002-4470-251X
Yolanda AguileraDepartment of Agricultural Chemistry and Food Science, Universidad Autónoma de Madrid, 28049 Madrid, Spain.ORCID 0000-0002-8724-6796
María A Martín-CabrejasDepartment of Agricultural Chemistry and Food Science, Universidad Autónoma de Madrid, 28049 Madrid, Spain.ORCID 0000-0001-9834-639X

Funding

Ministerio de Ciencia, Innovación y Universidades AGL2014-57239-RMinisterio de Ciencia, Innovación y Universidades FPU15/04238Ministerio de Ciencia, Innovación y Universidades RTI 2018-097504-B-I00
6 · The paper itself

Abstract

This study aimed to model and optimize a green sustainable extraction method of phenolic compounds from the coffee husk. Response surface methodology (RSM) and artificial neural networks (ANNs) were used to model the impact of extraction variables (temperature, time, acidity, and solid-to-liquid ratio) on the recovery of phenolic compounds. All responses were fitted to the RSM and ANN model, which revealed high estimation capabilities. The main factors affecting phenolic extraction were temperature, followed by solid-to-liquid ratio, and acidity. The optimal extraction conditions were 100 °C, 90 min, 0% citric acid, and 0.02 g coffee husk mL

Indexed as

antioxidant capacityartificial neural networkscoffee by-productsphenolic compoundsresponse surface methodology

Identifiers

PMID33808664
PMCPMC8003551

What OpenQuestion holds

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LicenceCC BY
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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.