Food Safety Assessment of Food Using StarDrop【For Food Science】
We support the design of compounds to enhance food safety.
In the food science industry, the development of new products and quality design is a complex process involving multifaceted evaluations such as taste, aroma, texture, nutritional components, and safety. The decision support platform StarDrop contributes to the efficiency of food R&D by evaluating and predicting the chemical properties of food ingredients and functional materials based on data, quickly identifying optimal blends and formulations. 【Main Use Cases】 - QSAR Property Prediction: Predicting the in vivo behavior (such as absorption and metabolism) and physical properties of specific components before synthesis and formulation. - Toxicity and Safety Prediction: Screening the toxicity risks (such as skin sensitization and mutagenicity) of raw materials and additives at an early stage. - Auto-Modeller: Building unique quality prediction models from the company's experimental data (such as sensory evaluation and shelf life). 【Implementation Effects】 By simultaneously optimizing blends that balance taste, safety, and health functions, the number of prototypes is minimized, achieving a "dramatic reduction in development time" and "reduction in prototype costs." This accelerates the market introduction of advanced health foods and new materials that meet consumer needs.
- Company：ヒューリンクス
- Price：Other
