Evidence map›Paper›PMID 35531409›Full record

ArticleJournal of food science and technology2022

Aroma compounds and consumer acceptability of soybean paste fermented by lactobacilli.

Bárbara Luciana Nacchio, Natividad Avila Hael, Roxana Beatriz Medina, Marisa Selva Garro

Abstract read
In one paragraph

Article in Journal of food science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Bárbara Luciana NacchioCentro de Referencia para Lactobacilos (CERELA)-CONICET-CCT NOA Sur, San Miguel de Tucumán, Chacabuco 145 (T4000ILC), Tucumán, Argentina.
Natividad Avila HaelCentro de Referencia para Lactobacilos (CERELA)-CONICET-CCT NOA Sur, San Miguel de Tucumán, Chacabuco 145 (T4000ILC), Tucumán, Argentina.
Roxana Beatriz MedinaCentro de Referencia para Lactobacilos (CERELA)-CONICET-CCT NOA Sur, San Miguel de Tucumán, Chacabuco 145 (T4000ILC), Tucumán, Argentina.
Marisa Selva GarroCentro de Referencia para Lactobacilos (CERELA)-CONICET-CCT NOA Sur, San Miguel de Tucumán, Chacabuco 145 (T4000ILC), Tucumán, Argentina.ORCID 0000-0003-4496-4584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consumption of soybean-based foods is affected by the flavor of the legume; due to the presence of undesirable compounds called "beany flavors". To solve this problem, the influence of solid state fermentation by lactobacilli on the production of volatile compounds in soybean paste was determined. The volatile's production was measured by gas chromatography. Forty compounds were identified in the different soybean pastes studied. The results showed that fermentation stimulates the production of desirable volatile compounds in foods such as ketones (22-75%) and decreased unpleasant compounds (10-84%).The consumers acceptance study showed that a group of participants (30% approximately) preferred the fermented samples associated with sweet and acid aroma like yogurt. In conclusion, the fermentation positively influences the generation of desirable volatile compounds and completely reduces hexanal in one sample. Therefore, fermentation with the studied strains is a valid strategy to modify the aroma profile of a soybean-based food matrix. Supplementary Information: The online version contains supplementary material available at 10.1007/s13197-021-05210-5.

Indexed as

Beany FlavorGas chromatographyLactic Acid BacteriaSensorial AnalysisSolid State FermentationSoybean

Identifiers

PMID35531409
PMCPMC9046527

What OpenQuestion holds

Textmetadata
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.