Machine learning-driven flavoromics: Decoding stage-specific volatile compound dynamics and sensory deterioration in stored infant formula

Key Points

• Sensory deterioration in stored infant formula is linked to specific volatile compounds.
• Machine learning techniques effectively analyzed the dynamic changes in these compounds over time.
• Using flavoromics, the study details how storage conditions influenced sensory qualities.
• Findings emphasize the importance of monitoring volatile compounds to ensure infant formula quality.