Faba Bean (
UHPLC-HRMS
bitterness
faba beans
metabolomic approach
off-flavours
pulses
sensory analysis
Journal
Metabolites
ISSN: 2218-1989
Titre abrégé: Metabolites
Pays: Switzerland
ID NLM: 101578790
Informations de publication
Date de publication:
21 Aug 2023
21 Aug 2023
Historique:
received:
02
08
2023
revised:
17
08
2023
accepted:
18
08
2023
medline:
25
8
2023
pubmed:
25
8
2023
entrez:
25
8
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 37623907
pii: metabo13080964
doi: 10.3390/metabo13080964
pmc: PMC10456379
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Groupe Soufflet-Invivo
ID : NA
Organisme : Association Nationale de la Recherche et de la Technologie
ID : ANRT-CIFRE 2019/1744
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