Evidence map›Paper›PMID 37623907›Full record

ArticleMetabolites2023

Faba Bean (

Adeline Karolkowski, Emmanuelle Meudec, Antoine Bruguière, Anne-Claire Mitaine-Offer, Emilie Bouzidi, Loïc Levavasseur, Nicolas Sommerer, Loïc Briand, Christian Salles

Abstract read
In one paragraph

Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Potential Nutraceutical Properties ofMolecules (Basel, Switzerland) · 2026
    Article
  4. Molecules (Basel, Switzerland) · 2025
    Review
  5. Article
  6. Peas (Molecules (Basel, Switzerland) · 2025
    Review
  7. 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

9 authors.

Adeline KarolkowskiCentre des Sciences du Goût et de L'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, F-21000 Dijon, France.
Emmanuelle MeudecSPO, Université de Montpellier, INRAE, Institut Agro, F-34000 Montpellier, France.ORCID 0000-0003-1644-8013
Antoine BruguièreCentre des Sciences du Goût et de L'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, F-21000 Dijon, France.
Anne-Claire Mitaine-OfferCentre des Sciences du Goût et de L'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, F-21000 Dijon, France.
Emilie BouzidiVivien Paille (Groupe Avril), F-59300 Valenciennes, France.
Loïc LevavasseurGroupe Soufflet-Invivo, F-10400 Nogent-sur-Seine, France.
Nicolas SommererSPO, Université de Montpellier, INRAE, Institut Agro, F-34000 Montpellier, France.ORCID 0000-0001-9424-7685
Loïc BriandCentre des Sciences du Goût et de L'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, F-21000 Dijon, France.
Christian SallesCentre des Sciences du Goût et de L'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, F-21000 Dijon, France.ORCID 0000-0002-0407-9778

Funding

Association Nationale de la Recherche et de la Technologie ANRT-CIFRE 2019/1744Groupe Soufflet-Invivo NA
6 · The paper itself

Abstract

In the context of climate change, faba beans are an interesting alternative to animal proteins but are characterised by off-notes and bitterness that decrease consumer acceptability. However, research on pulse bitterness is often limited to soybeans and peas. This study aimed to highlight potential bitter non-volatile compounds in faba beans. First, the bitterness of flours and air-classified fractions (starch and protein) of three faba bean cultivars was evaluated by a trained panel. The fractions from the high-alkaloid cultivars and the protein fractions exhibited higher bitter intensity. Second, an untargeted metabolomic approach using ultra-high-performance liquid chromatography-diode array detector-tandem-high resolution mass spectrometry (UHPLC-DAD-HRMS) was correlated with the bitter perception of the fractions. Third, 42 tentatively identified non-volatile compounds were associated with faba bean bitterness by correlated sensory and metabolomic data. These compounds mainly belonged to different chemical classes such as alkaloids, amino acids, phenolic compounds, organic acids, and terpenoids. This research provided a better understanding of the molecules responsible for bitterness in faba beans and the impact of cultivar and air-classification on the bitter content. The bitter character of these highlighted compounds needs to be confirmed by sensory and/or cellular analyses to identify removal or masking strategies.

Indexed as

bitternessfaba beansmetabolomic approachoff-flavourspulsessensory analysisUHPLC-HRMS

Identifiers

PMID37623907
PMCPMC10456379

What Socratic 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 Socratic graph.