Evidence map›Paper›PMID 34204777›Full record

ArticleMolecules (Basel, Switzerland)2021

Modelling and Optimization of Ultrasound-Assisted Extraction of Phenolic Compounds from Black Quinoa by Response Surface Methodology.

Valentina Melini, Francesca Melini

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Synergistic Polyphenol Recovery FromJournal of analytical methods in chemistry · 2026
    Article
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  6. Article
  7. Article
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  12. Screening forFoods (Basel, Switzerland) · 2022
    Article
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  14. Review
  15. 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

2 authors.

Valentina MeliniCREA Research Centre for Food and Nutrition, Via Ardeatina 546, I-00178 Roma, Italy.ORCID 0000-0001-9071-5680
Francesca MeliniCREA Research Centre for Food and Nutrition, Via Ardeatina 546, I-00178 Roma, Italy.ORCID 0000-0003-3159-2646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenolic compounds are currently the most investigated class of functional components in quinoa. However, great variability in their content emerged, because of differences in sample intrinsic and extrinsic characteristics; processing-induced factors; as well as extraction procedures applied. This study aimed to optimize phenolic compound extraction conditions in black quinoa seeds by Response Surface Methodology. An ultrasound-assisted extraction was performed with two different mixtures; and the effect of time; temperature; and sample-to-solvent ratio on total phenolic content (TPC) was investigated. Data were fitted to a second-order polynomial model. Multiple regression analysis and analysis of variance were used to determine the fitness of the model and optimal conditions for TPC. Three-dimensional surface plots were generated from the mathematical models. TPC at optimal conditions was 280.25 ± 3.94 mg of Gallic Acid Equivalent (GAE) 100 g

Indexed as

AntioxidantsChenopodium quinoaChromatography, High Pressure LiquidFlavonoidsPhenolsPlant ExtractsUltrasonicsAntioxidantsFlavonoidsPhenolsPlant Extractsbioactive compoundsflavonoidsHPLCphenolic acidsphenolic compoundspseudocerealsquinoaresponse surface methodologyultrasound-assisted extraction

Identifiers

PMID34204777
PMCPMC8231643
OpenAlexW3170545590

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.