Using machine learning to optimize volatile fatty acid production in riboflavin-mediated sludge fermentation

Waste activated sludge (WAS) is the most yielding byproduct in municipal wastewater treatment plants (MWTPs), and its disposal poses secondary pollution that severely threatens the environment. Producing volatile fatty acids (VFAs) from WAS is a promising technology that enables the reutilization of organic carbons associated with the WAS complex.