Food Metabolome Repository is a repository for food metabolome data obtained using liquid chromatography-mass spectrometry (LC-MS)

Feature 1

A two-dimensional mass chromatogram shows an overview of detected food metabolites.

MassChroBook

2D images of all foods are available in PowerPoint files.

Feature 2

Users can check if the foods contain metabolites that match specified mass values.

The specificity of the samples should help annotation of the unknown metabolites.


Target Foods

Approximately 2000 items of foods are listed in the Standard Tables of Food Composition In Japan - 2015 - (Seventh Revised Version). Among them, approximately 220 representative items were selected as the initial target of this repository.

is available here.


Analytical Methods

All foods were analyzed by an uniform method which is suitable for detecting metabolites with molecular weights ranged from 100 to 1500 Da and with medium polarity. Volatiles, highly-hydrophobic compounds and highly-hydrophilic compounds will not be detected in the condition. The metabolites were extracted in methanol, separated by a reversed-phase liquid chromatography using C18 column and water-acetonitrile solvents, and detected using a high-resolution mass spectrometry in positive and negative modes in electrosplay ionization. MS2 and MS3 spectra were obtained for compounds detected with higher intensities.


Data Analysis

The results of compound database search using the measured accurate mass value were attached to the peak information. Also, the predicted flavonoid aglycones which were obtained using measured MS2/MS3 spectra and the FlavonoidSearch system (Akimoto et al., 2017) were attached.



Caution for compound annotations
The compound information provided in this repository is NOT the one that qualified and quantified by authentic methods.
  • It is not guaranteed that the compounds listed for the peak is present in the food.
  • It is not guaranteed that the compounds not listed for the peak is absent in the food.
We just provide the candidate compounds that were found in the compound database searching based on the mass value similarities to the detected peaks. Therefore, the results contain many false positives and false negatives. Please use the data with appropriate knowledge for untargeted metabolome analyses using LC-MS.