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Predicting Effective Plant Phosphopeptide–Calcium Formulations Using Machine Learning for Ca/Vitamin D3 and K2 Supplement Development via Pickering Emulsion

CORDIS · observation · Publication date unknown

Predicting Effective Plant Phosphopeptide–Calcium Formulations Using Machine Learning for Ca/Vitamin D3 and K2 Supplement Development via Pickering Emulsion As plant-based diets expand worldwide, ensuring adequate calcium (Ca) intake has become a pressing challenge. Ca is essential for bone, muscle, and dental health, while vitamins D₃ and K2 regulate its absorption and metabolism. Insufficient uptake of these nutrients can lead to osteoporosis, cardiovascular problems, and other deficiency-related diseases. Casein phosphopeptides (CPPs) are the best-known bioactive ingredients used to chelate calcium and improve its bioavailability in supplements, but their limited extraction capacity and the environmental impact of milk production conflict with the SDG on responsible consumption and production, and they are unsuitable for those seeking dairy-free alternatives. This project will address this gap by developing plant-derived phosphopeptide–calcium (PPP–Ca)

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recordType

award

status

SIGNED

region

EU

value

202125.12

unit

EUR