Mathematical Tools to Understand and Predict the Impact of Food Structure and Individual Physiology on the Release of Stimuli Responsible for Sensory Properties and on Digestion

This paper develops mathematical models to link food structure and individual physiology to predict sensory stimulus release and digestive kinetics, using dairy gels, yogurts, and cheeses as case studies.

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Λεπτομερής περιγραφή

The design of foods that deliver targeted sensory and nutritional molecules has become a key challenge for the food industry. This study presents a multi-scale mathematical modeling framework of the digestive tract as a multi-stage reactor to decouple the effects of food structure and consumer physiology on digestion and sensory perception. Combining in vitro, in vivo, and in silico approaches, the authors illustrate three dairy-based examples—model gels, yogurts, and cheeses—to predict salt and aroma release in the mouth and protein digestion kinetics. The models provide a basis for formulating reduced-salt, enriched, or tailored food products.

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Λεπτομερείς πληροφορίες συμβολής

Έργο

Innovations agronomiques

Innovations agronomiques

Τοποθεσία
France
Δημιουργοί
Isabelle SOUCHON, Isabelle DELERIS, Anne SAINT-EVE DELBOS, Steven LE FEUNTEUN, Maud PANOUILLE, Clément DE LOUBENS DE VERDALLE, Marion DOYENNETTE et Ioan-Cristian TRELEA
Σκοπός
Adopt innovative practices

Τύπος αρχείου
έγγραφο
Δημιουργήθηκε στις
01 Ιουν 2014
Γλώσσα προέλευσης
French
Επίσημη ιστοσελίδα του έργου
Innovations agronomiques
Άδεια
CC BY


    Mathematical Tools to Understand and Predict the Impact of Food Structure and Individual Physiology on the Release of Stimuli Responsible for Sensory Properties and on Digestion | EU-FarmBook