AI Model Screens Millions of Plant Proteins to Find Animal-Free Emulsifiers

Researchers at the University of Leeds have developed an artificial intelligence system that screens millions of plant proteins to identify potential animal-free emulsifiers. The tool narrows down the list to nearly 800 candidates, offering a shortcut to finding plant-based alternatives to dairy and synthetic emulsifiers used in various products like food, cosmetics, and pharmaceuticals. Currently, many emulsifiers rely on animal-derived proteins or synthetic compounds with a high carbon footprint.

The team used a simulation model to study how proteins position themselves between oil and water, applying machine learning to identify molecular segments that determine their behavior as emulsifiers. Testing a selection of proteins against the model's predictions, researchers confirmed potential emulsifiers in proteins derived from peas and potatoes. This research aims to help manufacturers find natural emulsifiers faster as consumer demand shifts towards more sustainable and cruelty-free options.