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Two-particle model of anaerobic solid state fermentation
S Kalyuzhnyi1, A Veeken, B Hamelers
1Department of Chemical Enzymology, Chemistry Faculty, Moscow State University, 119899 Moscow, Russia.
Summary
A new mathematical model for anaerobic solid-state fermentation (ASSF) distinguishes between seed and waste particles. This model helps understand and improve ASSF stability by analyzing biodegradability and mass transfer effects.
Area of Science:
- Biochemical Engineering
- Environmental Biotechnology
- Mathematical Modeling
Background:
- Anaerobic solid-state fermentation (ASSF) stability is crucial for efficient waste treatment.
- Stable ASSF requires methanogenic seed sludge and is influenced by mass-transfer limitations.
- Existing studies highlight the complexity of microbial interactions and substrate degradation in ASSF.
Purpose of the Study:
- To develop a structured mathematical model for anaerobic solid-state fermentation (ASSF).
- To investigate the influence of particle characteristics and mass transfer on ASSF stability.
- To propose strategies for preventing volatile fatty acid accumulation in ASSF.
Main Methods:
- Development of a structured mathematical model incorporating multiple-reaction stoichiometry, microbial growth kinetics, and material balances.
- Postulation of two particle types: 'seed' (low biodegradability, high methanogenic activity) and 'waste' (high biodegradability, low methanogenic activity).
- Simulation of particle diffusion and liquid-gas interactions within the fermenting solid mass.
Main Results:
- The theoretical model qualitatively aligns with existing experimental ASSF studies.
- Computer simulations demonstrate the impact of biodegradability and mass transfer intensity on ASSF stability.
- Identification of key factors influencing volatile fatty acid accumulation within seed particles.
Conclusions:
- The developed model provides a framework for understanding ASSF dynamics.
- Biodegradability and mass transfer are critical parameters for maintaining ASSF stability.
- Strategies derived from the model can help optimize ASSF processes and prevent operational issues like VFA accumulation.