The “food metabolome” comprises all metabolites present in biological fluids that are directly derived from the digestion of food. A large proportion of the food metabolome consists of phytochemical metabolites, which are products of intestinal,hepatic or microbial metabolism of plant secondary metabolites such as polyphenols, terpenoids, alkaloids...Identification of unknowns in metabolome fingerprints is a laborious step-by -step process and often a bottleneck in biomarker discovery. One major limitation for the interpretation of the Food metabolome fingerprints is the incompleteness of existing databases regarding phytochemical metabolites. As part of the ANR PhenoMeNep project, we aim to construct a new database tailored to the study of the phytochemical component of the food metabolome. Provisionally named PhytoMetaboBank, the data base will be an inventory of known metabolites described in the literature for all dietary phytochemicals. It will also include the most likely metabolites predicted in silico for these dietary phytochemicals. Built with MySQL and Perl processing chains, an efficient elational design will underpin a powerful and intuitive web interface. For a queried monoisotopic mass or elemental formula, the database will return a list of possible metabolites, with their physicochemical properties, spectral data and possible dietary precursors linked to food sources. PhytoMetaboBank will be the first database to collate information on phytochemical metabolites from a metabolomics standpoint, and should improve the identification of discriminant ions in non-targeted profiling