Scientists build software simulator to optimize fermentation across beer, wine, and bread
Researchers have created a computational model that simulates fermentation conditions for multiple food and beverage products simultaneously, predicting optimal outcomes and failure modes. The tool could accelerate product development and quality control for breweries, bakeries, and fermentation-based biotech firms while reducing costly trial-and-error experimentation.
Originaltitel: An ODE-Network-Based Chemical Complex System Simulator for Multi-Environment Fermentation
Fermentation is a slow chemical-biological process in which substrates, enzymes, yeast biomass, oxygen, pH, temperature, and metabolic products co-evolve. This paper presents an ODE-network-based chemical complex system simulator for multi-environment fermentation. A shared state-space was instantiated for bread dough, rice wine, beer wort, and malt mash/wort, and a one-command Python workflow generated 108 simulated conditions with CSV outputs. The sweep produced interpretable optima and failure modes that aligned semi-quantitatively with literature-reported fermentation ranges, supporting the model as a compact benchmark for fermentation design and future control studies.