TY - JOUR
T1 - Cleaning and using FooDB
T2 - a method for extracting compound information and applying FooDB in dietary cohort studies
AU - Vos, Meike E
AU - Meima, Marie Y
AU - Houben, Geert F
N1 - Publisher Copyright:
© 2025 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0/
PY - 2025/12
Y1 - 2025/12
N2 - Food plays a large role in health and disease. Foods consist of an incredible number of different compounds, many of which are responsible for (yet unknown) biological effects. To research health effects of food compounds, food composition databases are essential for deriving compound concentrations in foods. Many such databases are limited to around 100 compounds, but FooDB, the largest food composition database, aggregates data from different sources, expanding the number of compounds to more than 10,000. These data require cleaning before it can be used in compound intake analyses.
AB - Food plays a large role in health and disease. Foods consist of an incredible number of different compounds, many of which are responsible for (yet unknown) biological effects. To research health effects of food compounds, food composition databases are essential for deriving compound concentrations in foods. Many such databases are limited to around 100 compounds, but FooDB, the largest food composition database, aggregates data from different sources, expanding the number of compounds to more than 10,000. These data require cleaning before it can be used in compound intake analyses.
U2 - 10.1016/j.mex.2025.103691
DO - 10.1016/j.mex.2025.103691
M3 - Article
C2 - 41277987
SN - 2215-0161
VL - 15
JO - MethodsX
JF - MethodsX
M1 - 103691
ER -