AHOBAE Project Develops AI-Optimized Tech to Turn Food Waste into PHB
TECNALIA, a leading research and technological development center, has announced significant advancements in the field of circular bioeconomy through its AHOBAE initiative. The project has successfully developed an AI-optimized technology capable of transforming the organic fraction of municipal solid waste (food waste) into polyhydroxybutyrate (PHB), a high-value biopolymer.
Optimizing Bioconversion with AI
The core innovation of the AHOBAE project lies in the integration of Artificial Intelligence (AI) into the bioprocess. Converting heterogeneous food waste into consistent bioplastics is historically challenging due to the variability of the feedstock. TECNALIA’s new system employs machine learning algorithms to monitor and adjust fermentation parameters in real-time.
By precisely controlling variables such as pH, temperature, and carbon-to-nitrogen ratios, the AI model optimizes the metabolic performance of the bacteria involved. These microorganisms consume the volatile fatty acids derived from the fermenting food waste and store energy intracellularly as PHB granules. The result is a more stable, higher-yield production process that makes waste-derived PHB economically competitive with fossil-based alternatives.
Closing the Loop on Urban Waste
This technology addresses two critical environmental challenges simultaneously: the management of urban organic waste and the reduction of reliance on petrochemical plastics. PHB is a fully biodegradable and compostable member of the polyhydroxyalkanoate (PHA) family, possessing thermal and mechanical properties similar to polypropylene (PP).
The material produced through the AHOBAE technology is suitable for various applications, including rigid packaging and agricultural films, which can biodegrade harmlessly at the end of their lifecycle. By valorizing food waste that would otherwise end up in landfills or incinerators, TECNALIA is establishing a scalable model for a true urban circular economy.
Source: Read more