Foodomics research requires state of the art technologies and methods but also the existence of specialists’ knowledge and high-quality sample banks, which, after comprehensive analysis, can provide data for the establishment of compositional databases. Compositional databases are the best means to provide the basis for the control of real samples (food products).
The consortium works to generate databases of the molecular and elemental composition of foods to facilitate control, stir further technological developments and discover relationships between food constituents and/or elemental signatures with properties sought by consumers and producers.
Text mining algorithms developed in our group are used to mine the international literature for publications containing carefully selected keywords of interest. The codes seek to gather quantitative information reporting the concentration of food constituents such as elements and small molecules. This information is subsequently curated by PhD level scientists to verify its validity and relevance, with extra caution given at concentration numbers and units. The generated database is now formatted as a web-based database.