A mechanistic approach to model the breakdown of solid food during chewing. (March 2022)

• Record Type: Journal Article
• Authors: How, Muhammad Syahmeer; Jones, Jim R.; Morgenstern, Marco P.; Gray-Stuart, Eli; Bronlund, John E.
• Is Part Of: Journal of food engineering. Volume 317(2022)
• Publication Date: 2022-03
• Subjects: Mathematical modelling -- Selection & breakage processes -- Particle size distribution -- Flavour -- Digestion; Food industry and trade -- Periodicals; Food -- Analysis -- Periodicals; Aliments -- Industrie et commerce -- Périodiques; Aliments -- Analyse -- Périodiques; Aliments -- Recherche -- Périodiques; 664.005
• DOI: 10.1016/j.jfoodeng.2021.110871
• Languages: English
• ISSNs: 0260-8774

Abstract

Abstract: Chewing food prepares it for safe swallowing which, by reducing particle size and exposing new surface and blending it with saliva, benefits both digestion and the sensory experience of consumers, the latter through flavour and aroma release and textural changes. A multitude of rate processes are at play and it is the role of feed technologists to enhance their outcomes. Particle size reduction is due to subsequent selection and breakage in each chewing cycle. To develop a model based on mechanistic principles for predicting the Particle Size Distribution (PSD) of solid food bolus during chewing, it was examined which existing mathematical descriptions for selection and breakage that are most suitable for an integrated model. The application of the model is demonstrated by using peanuts as a working example. Highlights: Mechanistic selection and breakage models were applied to a real food for the first time. A combined one-way and two-way models to account selection gave the best fit. The models developed here have the potential to reduce the time needed for food design. The models can be adapted to a wider range of food systems in future studies.