From peas to potatoes, AI identifies nearly 800 promising plant proteins for food and cosmetics
Researchers at the University of Leeds have developed an AI-driven process to identify plant proteins that can serve as effective emulsifiers. This discovery could accelerate the development of sustainable, plant-based alternatives for food and cosmetic products.
Why it matters
Replacing animal-derived or synthetic emulsifiers with plant-based proteins can significantly reduce the carbon footprint of consumer goods.
edited by Sadie Harley , reviewed by Robert Egan
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Add as preferred source Data-driven discovery pipeline for fingerprinting plant proteins behaving as optimal surfactants. Credit: ChemRxiv DOI: 10.26434/chemrxiv.15000208/v1 Scientists from Leeds' School of Food Science and Nutrition have developed an advanced AI process that can rapidly identify plant proteins capable of acting as emulsifiers from tens of millions of initial candidates. To date, it has identified nearly 800. The discovery will cut years of costly trial-and-error research and bring the next generation of plant-based foods and cosmetics closer.
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