Untargeted mass spectrometry-based metabolomics approach unveils molecular changes in raw and processed foods and beverages

Julia M. Gauglitz*, Christine M. Aceves, Alexander A. Aksenov, Gajender Aleti, J. Almaliti, A. Bouslimani, Elizabeth A. Brown, Anaamika Campeau, Andrés Mauricio Caraballo-Rodríguez, Rama Chaar, Ricardo R. da Silva, Alyssa M. Demko, Francesca Di Ottavio, Emmanuel Elijah, Madeleine Ernst, L.P. Ferguson, Xavier Holmes, Alan K. Jarmusch, Lingjing Jiang, Kyo Bin KangI. Koester, B. Kwan, Jie Li, Yueying Li, Alexey V. Melnik, Carlos Molina-Santiago, B. Ni, Aaron L. Oom, Morgan W. Panitchpakdi, Daniel Petras, Robert Quinn, Nicole Sikora, Katharina Spengler, B. Teke, Anupriya Tripathi, S. Ul-Hasan, Justin J.J. van der Hooft, Fernando Vargas, Alison Vrbanac, Anthony Q. Vu, Steven C. Wang, K. Weldon, K. Wilson, Jacob M. Wozniak, Michael Yoon, Nuno Bandeira, Pieter C. Dorrestein*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

15 Citations (Scopus)

Abstract

In our daily lives, we consume foods that have been transported, stored, prepared, cooked, or otherwise processed by ourselves or others. Food storage and preparation have drastic effects on the chemical composition of foods. Untargeted mass spectrometry analysis of food samples has the potential to increase our chemical understanding of these processes by detecting a broad spectrum of chemicals. We performed a time-based analysis of the chemical changes in foods during common preparations, such as fermentation, brewing, and ripening, using untargeted mass spectrometry and molecular networking. The data analysis workflow presented implements an approach to study changes in food chemistry that can reveal global alterations in chemical profiles, identify changes in abundance, as well as identify specific chemicals and their transformation products. The data generated in this study are publicly available, enabling the replication and re-analysis of these data in isolation, and serve as a baseline dataset for future investigations.

Original languageEnglish
Article number125290
JournalFood Chemistry
Volume302
DOIs
Publication statusPublished - 1 Jan 2020

Keywords

  • Fermentation
  • Food
  • LC-MS/MS
  • Metabolomics
  • Molecular networking
  • Tea
  • Untargeted mass spectrometry
  • Yogurt

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