Gastric devolution of transglutaminase-induced acid and rennet-induced casein gels using dynamic DIDGI® and static COST action INFOGEST protocols - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Food Research International Année : 2023

Gastric devolution of transglutaminase-induced acid and rennet-induced casein gels using dynamic DIDGI® and static COST action INFOGEST protocols

Résumé

Limited studies in the literature have compared in vitro dynamic and in vitro static protocols for modelling the gastric digestive process of food systems. This experiment explores the differences between two different in vitro approaches to the devolution of a transglutaminase-induced acid gel (TG, pH 5.1–5.3) and rennet-induced gel (RG, pH 6.5–6.7). Gels were exposed to a simulated oral phase, followed by either the dynamic DIDGI® or static COST action INFOGEST protocol to simulate gastric conditions. Protein hydrolysis was evident from 15 min onwards for TG exposed to the dynamic protocol where levels continued to increase at a steady rate. In contrast, RG exhibited a notable lag-phase before levels increased from around 60 min onwards. Under the static protocol, protein hydrolysis was observed for both TG and RG upon exposure to the gastric environment which continued to increase over time. Despite these differences, similar levels of protein hydrolysis were found for TG and RG at the gastric endpoint using either protocol demonstrating that both the dynamic DIDGI® and static COST action INFOGEST methods provide a suitable and comparable environment for the in vitro digestion of casein protein under simulated gastric conditions.

Dates et versions

hal-03932220 , version 1 (10-01-2023)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

Citer

Amy Logan, Olivia Ménard, Meltem Bayrak, Elham Rakhshi, Juliane Floury. Gastric devolution of transglutaminase-induced acid and rennet-induced casein gels using dynamic DIDGI® and static COST action INFOGEST protocols. Food Research International, 2023, 164, pp.112351. ⟨10.1016/j.foodres.2022.112351⟩. ⟨hal-03932220⟩
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