Sensory and chemical characteristics, glycaemic response, and nutritional studies of white pan bread fortified with split yellow pea (Pisum sativum L.) flour
Notice bibliographique
Résumé
Introduction: Yellow pea (Pisum sativum L.) is a valuable source of nutrients that is produced widely in Canada. However, food applications of pea have been commonly limited due to its undesirable beany off-flavor. This study is in line with attempts to improve the acceptability of pea-enriched pan bread that provides a health benefit to consumers. The specific objectives of this work were: i) To develop white pan bread fortified with 20% split yellow pea flour; ii) To characterize the sensory properties of the developed breads (100%W , USYP , RT0% , RT10% ); iii) To evaluate pea flour's chemical profile (volatile and non-volatile compounds) as affected by Revtech processing, and iv) To determine the breads’ postprandial glycaemic and satiety responses in healthy adults. Methods: Pea flour was heat treated using Revtech processing at 140˚C (residence time of 4 min) in dry condition (RT0%) and in the presence of 10% steam (RT10%). The consumer acceptability of produced breads was assessed by 110 consumers using 9-point hedonic scale. Descriptive analysis of the bread's sensory attributes was further defined and measured using 15 cm line scales by 11 trained panellists. The volatile organic compounds (VOCs) in pea flour were collected using Likens Nickerson apparatus and analyzed by Gas Chromatography-Mass Spectrometry (GC-MS). A nontargeted metabolomics approach was used to analyze the phytochemical profiles of pea flour using liquid chromatography quadrupole time of flight mass spectrometry (LC-QTOF-MS) and nuclear magnetic resonance (NMR) techniques. A randomized controlled crossover trial evaluated the glycaemic response of developed breads using 24 healthy adults. Participants consumed 50g of available carbohydrates from different bread variants. Blood samples were collected and analyzed for glucose and plasma insulin at 0, 15, 30, 45, 60, 90, and 120 minutes post-meal. Appetite sensations were measured using a visual analogue scale. Results: Among pea-enriched breads, RT10% had a significantly higher aroma, flavor, and overall acceptability and appeared to be the closest to the control white wheat bread (100%W). The overall acceptability for all bread variants was scored above 6 (defined as "like slightly"), indicating the acceptability of the end products among consumers. Attributes associated with RT10% included wheaty, sweet and yeast aromas and wheaty flavor, while attributes associated with USYP and RT0% were pea and nutty aroma and flavor. The concentrations of several VOCs with known contribution to beany off-flavor, such as heptanal, (E)-2-heptenal, 1-octen-3-ol, octanal, and (E)-2-octenal were significantly (p<0.05) decreased in both RT0% and RT10% flours. These changes may be attributed to the significant decrease in the LOX activity in heat-treated flours and the subsequent reduction in fatty acid oxidation. Results of the clinical trial showed no significant difference in the postprandial glucose and insulin responses of different bread treatments. However, pea-containing variants demonstrated favourable satiety responses with significantly higher fullness and lower hunger, desire to eat, and prospective food consumption ratings compared to 100%W.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».