Foodomics: A Data-Driven Approach to Revolutionize Nutrition and Sustainable Diets

Area of Science:

• Nutritional Science
• Environmental Science
• Biochemistry

Background:

• Global food systems face challenges in meeting nutritional, health, and environmental targets.
• Understanding the full chemical diversity of food composition is crucial for data-driven decisions.
• Current approaches are insufficient to fully characterize food's complex composition.

Purpose of the Study:

• To explore the potential of Foodomics to comprehensively analyze food composition.
• To address challenges in evaluating food composition and highlight state-of-the-art omics technologies.
• To present Foodomics as a complementary approach for advancing nutrition and sustainable diets.

Main Methods:

• Utilizing advanced omics technologies (genomics, proteomics, metabolomics, etc.) for food analysis.
• Characterizing and quantifying diverse biomolecules within food matrices.
• Leveraging data-driven approaches and global collaboration platforms like the Periodic Table of Food Initiative.

Main Results:

• Foodomics offers a powerful tool to elucidate the intricate composition of foods.
• It reveals variations in food composition across the entire food system.
• This approach demonstrates how diet composition influences nutrition, health, and sustainability outcomes.

Conclusions:

• Foodomics is essential for achieving global nutritional and environmental goals.
• A globally shared Foodomics platform is needed to accelerate progress.
• Recommendations are provided to enhance scientific capacity and benefit global populations through Foodomics.