Foodomics is the discipline that studies the food and nutrition domains through the application and integration of advanced omics technologies. This chapter summarizes the different strategies used in Foodomics for data analysis as well as the existing limitations and challenges that still need to be overcome in this new discipline. Both targeted and nontargeted approaches using transcriptomics, proteomics, and metabolomics are discussed, as well as an overview on data integration in multiomic datasets in order to fully interpret the results from a global Foodomics point of view. Finally, many works have already shown the tremendous possibilities of Foodomics to boost food science investigations. Some of these most recent studies and applications are reviewed, including those related to speed up the resolution of food safety issues, to improve food quality and food traceability, and to understand the bioactivity of food and food ingredients in our body at a molecular level.

Text in English