Enhancing untargeted metabolomics using metadata-based source annotation
) and also included a six-level food ontology, as well as information for fermentation or organic status, land or aquatic origin, country of origin, etc.Sampling methodology was developed to facilitate sample collection in any environment, from the home, a restaurant, a festival, or in the lab. Initial samples were collected between April 2017 and March 2018. Additional sets of samples were added through fall 2019.
Additional sets of food samples were added to the core set using the same methods as outlined above when possible. Samples from Venezuela were collected whole in absolute ethanol ≥ 99.8% and the extract was processed directly. For several of the human studies we collected data on associated foods ), which were processed according to the same methods as the Global FoodOmics samples. The number of SSF samples per cohort are outlined here: experimental sleep restriction and circadian misalignment ; centenarian ; Malawi legume supplement ; children with medical complexity ; rheumatoid arthritis diet samples , 3 time points)); mother’s milk ; legume supplements .
The sample set contains a broad set of simple foods including fruits, vegetables, grains/legumes, as well as raw meat and fish, which build the foundation of many food products. In addition, we have 1,133 fermented samples. This subcategorization of foods is made possible by the metadata collected on these samples, described below.
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