Insights into selective volatile fatty acid production from pretreated food waste unveiled through kinetic modeling and machine learning

Key Points

• Volatile fatty acid production increases significantly during bioconversion from food waste, indicating its viability.
• Machine learning approaches helped optimize the kinetic modeling, yielding accurate predictions of acid profiles.
• Assessment using kinetic modeling demonstrated a strong correlation between pretreatment methods and fatty acid yields in food waste.
• Insights highlight potential strategies for improving waste-to-energy solutions through better understanding of fatty acid production.