Foodomics: A Data-Driven Approach to Revolutionize Nutrition and Sustainable Diets
- PMID: 35592635
- PMCID: PMC9113044
- DOI: 10.3389/fnut.2022.874312
Foodomics: A Data-Driven Approach to Revolutionize Nutrition and Sustainable Diets
Abstract
Globally, we are failing to meet numerous nutritional, health, and environmental targets linked to food. Defining food composition in its full chemical and quantitative diversity is central to data-driven decision making for supporting nutrition and sustainable diets. "Foodomics"-the application of omics-technology to characterize and quantify biomolecules to improve wellbeing-has the potential to comprehensively elucidate what is in food, how this composition varies across the food system, and how diet composition as an ensemble of foods guides outcomes for nutrition, health, and sustainability. Here, we outline: (i) challenges of evaluating food composition; (ii) state-of-the-art omics technology and innovations for the analysis of food; and (iii) application of foodomics as a complementary data-driven approach to revolutionize nutrition and sustainable diets. Featuring efforts of the Periodic Table of Food Initiative, a participatory effort to create a globally shared foodomics platform, we conclude with recommendations to accelerate foodomics in ways that strengthen the capacity of scientists and benefit all people.
Keywords: food analysis; food biomolecules; food composition; mass spectrometry; omics technology.
Copyright © 2022 Ahmed, de la Parra, Elouafi, German, Jarvis, Lal, Lartey, Longvah, Malpica, Vázquez-Manjarrez, Prenni, Aguilar-Salinas, Srichamnong, Rajasekharan, Shafizadeh, Siegel, Steiner, Tohme and Watkins.
Conflict of interest statement
SA was employed by the American Heart Association, Inc. TS and SW was employed by the Verso Biosciences, Inc. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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