Holistic methods at the basis of the foodomics approach are allowing the in-depth understanding, at molecular and supramolecular level, of the complexity of food matrix. The latter, in turn, affects the nutrient bioaccessibility, one of the crucial factors impacting on the final effect of diets. However, many levels of complexity are emerging, relating to food-human interactions, while bolus descends along the whole gastrointestinal tract. Such complexity makes in-vitro and in-silico models still unable to fully describe intertwined kinetics between food matrix and human compartments. A possible framework to unravel complexity is outlined, starting from bioaccessibility modelling all the way down the to inter-compartmental kinetics. The aim is enhancing algorithms and models for prediction of the impact of a food category on a class of individuals. The proposed framework can consider many levels of complexity, provided that time-resolved experiments, suitable for integration with food matrix description, are correctly designed for this purpose.

Understanding the Kinetics of Nutrients Bioaccessibility by Modelling Foodomics Data

Mengucci, Carlo;Bordoni, Alessandra;Capozzi, Francesco
2020

Abstract

Holistic methods at the basis of the foodomics approach are allowing the in-depth understanding, at molecular and supramolecular level, of the complexity of food matrix. The latter, in turn, affects the nutrient bioaccessibility, one of the crucial factors impacting on the final effect of diets. However, many levels of complexity are emerging, relating to food-human interactions, while bolus descends along the whole gastrointestinal tract. Such complexity makes in-vitro and in-silico models still unable to fully describe intertwined kinetics between food matrix and human compartments. A possible framework to unravel complexity is outlined, starting from bioaccessibility modelling all the way down the to inter-compartmental kinetics. The aim is enhancing algorithms and models for prediction of the impact of a food category on a class of individuals. The proposed framework can consider many levels of complexity, provided that time-resolved experiments, suitable for integration with food matrix description, are correctly designed for this purpose.
CURRENT OPINION IN FOOD SCIENCE
Mengucci, Carlo; Bordoni, Alessandra; Capozzi, Francesco
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/757495
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