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Faba Bean (Vicia faba L. minor) Bitterness: An Untargeted Metabolomic Approach to Highlight the Impact of the Non-Volatile Fraction

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...

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Autores principales: Karolkowski, Adeline, Meudec, Emmanuelle, Bruguière, Antoine, Mitaine-Offer, Anne-Claire, Bouzidi, Emilie, Levavasseur, Loïc, Sommerer, Nicolas, Briand, Loïc, Salles, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456379/
https://www.ncbi.nlm.nih.gov/pubmed/37623907
http://dx.doi.org/10.3390/metabo13080964
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author Karolkowski, Adeline
Meudec, Emmanuelle
Bruguière, Antoine
Mitaine-Offer, Anne-Claire
Bouzidi, Emilie
Levavasseur, Loïc
Sommerer, Nicolas
Briand, Loïc
Salles, Christian
author_facet Karolkowski, Adeline
Meudec, Emmanuelle
Bruguière, Antoine
Mitaine-Offer, Anne-Claire
Bouzidi, Emilie
Levavasseur, Loïc
Sommerer, Nicolas
Briand, Loïc
Salles, Christian
author_sort Karolkowski, Adeline
collection PubMed
description 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.
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spelling pubmed-104563792023-08-26 Faba Bean (Vicia faba L. minor) Bitterness: An Untargeted Metabolomic Approach to Highlight the Impact of the Non-Volatile Fraction Karolkowski, Adeline Meudec, Emmanuelle Bruguière, Antoine Mitaine-Offer, Anne-Claire Bouzidi, Emilie Levavasseur, Loïc Sommerer, Nicolas Briand, Loïc Salles, Christian Metabolites Article 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. MDPI 2023-08-21 /pmc/articles/PMC10456379/ /pubmed/37623907 http://dx.doi.org/10.3390/metabo13080964 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Karolkowski, Adeline
Meudec, Emmanuelle
Bruguière, Antoine
Mitaine-Offer, Anne-Claire
Bouzidi, Emilie
Levavasseur, Loïc
Sommerer, Nicolas
Briand, Loïc
Salles, Christian
Faba Bean (Vicia faba L. minor) Bitterness: An Untargeted Metabolomic Approach to Highlight the Impact of the Non-Volatile Fraction
title Faba Bean (Vicia faba L. minor) Bitterness: An Untargeted Metabolomic Approach to Highlight the Impact of the Non-Volatile Fraction
title_full Faba Bean (Vicia faba L. minor) Bitterness: An Untargeted Metabolomic Approach to Highlight the Impact of the Non-Volatile Fraction
title_fullStr Faba Bean (Vicia faba L. minor) Bitterness: An Untargeted Metabolomic Approach to Highlight the Impact of the Non-Volatile Fraction
title_full_unstemmed Faba Bean (Vicia faba L. minor) Bitterness: An Untargeted Metabolomic Approach to Highlight the Impact of the Non-Volatile Fraction
title_short Faba Bean (Vicia faba L. minor) Bitterness: An Untargeted Metabolomic Approach to Highlight the Impact of the Non-Volatile Fraction
title_sort faba bean (vicia faba l. minor) bitterness: an untargeted metabolomic approach to highlight the impact of the non-volatile fraction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456379/
https://www.ncbi.nlm.nih.gov/pubmed/37623907
http://dx.doi.org/10.3390/metabo13080964
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