Effects of protein-lipid interactions on physiochemical and functional properties of food proteins
Notice bibliographique
Résumé
Protein-lipid complexes are known to result from complex molecular interactions which contribute to physiochemical and functional properties of foods. To identify the interactions of food proteins with lipids and the associated changes in properties, the following factors were investigated: incubation temperature, pH, type of lipids (phospholipid, triglyceride and fatty acids) and different proteins (ovalbumin and soybean glycinin). The effects of lipids on physiochemical and functional characteristics of ovalbumin and glycinin were investigated using polyacrylamide gel electrophoresis (PAGE), fluorescence, differential scanning calorimetry (DSC), Fourier transform infrared (FTIR) spectroscopy, and emulsification and gelation properties. The results showed that pH, temperature and the type of lipids affected both ovalbumin-lipid interactions and physiochemical properties of ovalbumin. Changes in the electrophoretic behavior of ovalbumin were related to the presence of lipids, and the relative fluorescence of ovalbumin decreased in the presence of lipids at different pH values. In addition, lipids increased the stability of ovalbumin as revealed by the thermal denaturation (Td) and by the enthalpy transition (DeltaH). FTIR spectra in the amide I absorption region revealed that lipids affected the secondary structure of ovalbumin. Changes in the integrated intensity of the amide II band between (1520--1555) cm -1 in the presence of D2O showed that H-D exchange of ovalbumin decreased in the presence of lipids. Emulsifying properties, gel strength and water holding capacity (WHC) of ovalbumin increased significantly (P < 0.05) in the presence of lipids. Scanning electron microscopy (SEM) showed difference in the microstructure of ovalbumin gel in the presence of different lipids. The more pronounced effect of lipids was observed with lecithin and the lowest was with stearic acid. The order of magnitude for the effects of lipids on physiochemical and functional properties of ovalbumin was: lecithin > cocoa butter > oleic acid > linoleic acid > linolenic acid > stearic acid. It is likely that the degree of polarity of lipids play an important role in protein-lipid interactions and in the enhancement of the functional properties of ovalbumin. The effects of soybean oil (SO), soybean lecithin (SL) and a mixture of both (SOL) on physiochemical and functional properties of soybean glycinin were studied at pH 8.0, with incubation at 40°C. Changes in the electrophoretic behavior were related to the presence of lipids. Relative fluorescence of glycinin decreased in the presence of lipids. Lipids increased the thermal stability (Td) of glycinin from 89.7°C to 92.0°C, 94.3°C and 93.4°C with SO, SL and SOL respectively. FTIR spectra indicated changes in both; the secondary structure and H-D exchange of glycinin in the presence of lipids. Gel strength, WHC and emulsifying properties of glycinin increased significantly (P < 0.05) in the presence of lipids; the order of consequence increase was: SL > SOL > SO. SEM showed difference in the microstructure of glycinin gels with the different lipids used. Overall, the results demonstrate both quantitative and qualitative effects on the physiochemical and functional properties of ovalbumin and glycinin as a result of protein-lipid interactions.
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 | 0,001 |
| 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 ».