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 to inter-compartmental kinetics. The aim is to enhance algorithms and models for the 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.

基于食品组学方法的整体方法允许在分子和超分子水平上深入了解食物基质的复杂性。后者反过来影响营养物的生物利用度，这是影响饮食最终效果的关键因素之一。然而，与食物-人的相互作用有关的许多复杂性正在出现，而推注沿整个胃肠道下降。这种复杂性使得体外和计算机化这些模型仍然无法完全描述食物基质与人体隔室之间的相互作用。从生物可及性建模一直到室间动力学，概述了一种可能的解决复杂性的框架。目的是增强用于预测食品类别对一类人的影响的算法和模型。如果为此目的正确设计了适合与食物基质描述集成的时间分辨实验，则所提出的框架可以考虑许多复杂程度。