Evidence map›Paper›PMID 35265708›Full record

ArticleInternational journal of food science2022

Extraction and Quantification of Saponins in Quinoa (

Mary S Mora-Ocación, Ana Cruz Morillo-Coronado, Elsa Helena Manjarres-Hernández

Abstract read
In one paragraph

Article in International journal of food science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Supplementation of nanoencapsulatedOpen veterinary journal · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Phytochemicals profiling ofFood science & nutrition · 2024
    Article
  11. Article
  12. 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

3 authors.

Mary S Mora-OcaciónEscuela de Ingeniería agronómica, Universidad Pedagógica y Tecnológica de Colombia, Tunja 150003, Colombia.ORCID https://orcid.org/0000-0003-1125-050X
Ana Cruz Morillo-CoronadoEscuela de Ingeniería agronómica, Universidad Pedagógica y Tecnológica de Colombia, Tunja 150003, Colombia.ORCID https://orcid.org/0000-0003-3125-0697
Elsa Helena Manjarres-HernándezEscuela de Ciencias Biológicas, Universidad Pedagógica y Tecnológica de Colombia, Tunja 150003, Colombia.ORCID https://orcid.org/0000-0001-6221-8636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quinoa has a high nutraceutical potential because of the presence of secondary metabolites called saponins, which have industrial and medicinal uses and protect against attacks by pathogens. These compounds are found especially in the seed coat and give the grain a bitter taste; therefore, they must be eliminated before consumption. Despite the potential use in Colombia, there are few studies aimed at quantifying this metabolite. Therefore, the objective of this research was to evaluate two extraction methodologies (physical and chemical) and two methods for quantifying saponins in five quinoa genotypes grown in Colombia. The most efficient extraction method was the physical method. The saponin contents of the five genotypes were variable. The cluster analysis differentiated the genotypes into two groups: low saponin content (<4.49 mg/g seed) and high saponin content (>14.76 mg/g seeds). Blanca de Jericó had the lowest saponin content (<0.40%), and Amarilla de Maranganí had the highest content (>0.18%). Identifying more efficient methodologies for extracting and quantifying saponins will allow a better characterization of the germplasm and selection of genotypes with desirable characteristics for both consumption and industrial use.

Identifiers

PMID35265708
PMCPMC8901361

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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.