Literature DB >> 31404873

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

Julia M Gauglitz1, Christine M Aceves2, Alexander A Aksenov3, Gajender Aleti4, Jehad Almaliti5, Amina Bouslimani3, Elizabeth A Brown2, Anaamika Campeau6, Andrés Mauricio Caraballo-Rodríguez3, Rama Chaar7, Ricardo R da Silva3, Alyssa M Demko8, Francesca Di Ottavio9, Emmanuel Elijah3, Madeleine Ernst3, L Paige Ferguson7, Xavier Holmes3, Alan K Jarmusch3, Lingjing Jiang10, Kyo Bin Kang3, Irina Koester8, Brian Kwan10, Jie Li8, Yueying Li8, Alexey V Melnik11, Carlos Molina-Santiago12, Bohan Ni8, Aaron L Oom13, Morgan W Panitchpakdi3, Daniel Petras14, Robert Quinn3, Nicole Sikora7, Katharina Spengler2, Bahar Teke8, Anupriya Tripathi3, Sabah Ul-Hasan15, Justin J J van der Hooft16, Fernando Vargas17, Alison Vrbanac18, Anthony Q Vu18, Steven C Wang19, Kelly Weldon11, Kayla Wilson8, Jacob M Wozniak6, Michael Yoon7, Nuno Bandeira20, Pieter C Dorrestein21.   

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.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  Fermentation; Food; LC-MS/MS; Metabolomics; Molecular networking; Tea; Untargeted mass spectrometry; Yogurt

Mesh:

Year:  2019        PMID: 31404873     DOI: 10.1016/j.foodchem.2019.125290

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  5 in total

1.  Chemically informed analyses of metabolomics mass spectrometry data with Qemistree.

Authors:  Anupriya Tripathi; Yoshiki Vázquez-Baeza; Julia M Gauglitz; Mingxun Wang; Kai Dührkop; Mélissa Nothias-Esposito; Deepa D Acharya; Madeleine Ernst; Justin J J van der Hooft; Qiyun Zhu; Daniel McDonald; Asker D Brejnrod; Antonio Gonzalez; Jo Handelsman; Markus Fleischauer; Marcus Ludwig; Sebastian Böcker; Louis-Félix Nothias; Rob Knight; Pieter C Dorrestein
Journal:  Nat Chem Biol       Date:  2020-11-16       Impact factor: 15.040

2.  Exploring Chemical Markers Related to the Acceptance and Sensory Profiles of Concentrated Liquid Coffees: An Untargeted Metabolomics Approach.

Authors:  Mónica Quintero; Maria José Santander; Sebastián Velásquez; Julián Zapata; Mónica P Cala
Journal:  Foods       Date:  2022-02-05

3.  TransDiscovery: Discovering Biotransformation from Human Microbiota by Integrating Metagenomic and Metabolomic Data.

Authors:  Donghui Yan; Liu Cao; Muqing Zhou; Hosein Mohimani
Journal:  Metabolites       Date:  2022-01-26

4.  Study of the Royal Jelly Free Fatty Acids by Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS).

Authors:  Maroula G Kokotou; Christiana Mantzourani; Rodalia Babaiti; George Kokotos
Journal:  Metabolites       Date:  2020-01-16

5.  MolDiscovery: learning mass spectrometry fragmentation of small molecules.

Authors:  Liu Cao; Mustafa Guler; Azat Tagirdzhanov; Yi-Yuan Lee; Alexey Gurevich; Hosein Mohimani
Journal:  Nat Commun       Date:  2021-06-17       Impact factor: 14.919

  5 in total

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