A two-phase model for water and heat transfer within an intermittently-mixed solid-state fermentation bioreactor with forced aeration.
A two-phase dynamic model is developed that describes heat and mass transfer in intermittently-mixed solid-state fermentation bioreactors. The model predicts that in the regions of the bed near the air inlet there can be significant differences in the air and solid temperatures, while in the remainder of the bed the gas and solid phases are much closer to equilibrium, although there can be differences in water activity of around 0.05. The increase in the temperature of the gas as it flows through the bed means that it is impossible to prevent the bed from drying out, even if saturated air is used at the air inlet. The substrate can dry to water activities that severely limit growth, unless the bed is intermittently mixed, with the addition of water to bring the water activity back to the desired value. Under the conditions assumed for the simulation, which was designed to mimic the growth of Aspergillus niger on corn, two mixing events were necessary, one at 17.4 and the other at 27.9 h. Even though such a strategy can minimize the restriction of growth by water-limitation, temperature-limitation remains a problem due to the rapid heating dynamics. The model is obviously a useful tool that can be used to guide scale-up and to test control strategies. Such a model, describing the non-equilibrium situation between the gas and solid phases, has not previously been proposed for solid-state fermentation bioreactors. Models in the literature that assume gas-solid temperature and moisture equilibrium cannot describe the large temperature differences between the gas and solid phase which occur within the bed near the air inlet.
Von Meien
Oscar F
OF
Departamento de Engenharia Química, Universidade Federal do Paraná, Cx. P. 19011, Curitiba 81531-990, Brazil.
Mitchell
David A
DA
D000392:Air Movements; D001234:Aspergillus niger / Q000254:growth & development / Q000378:metabolism; D019149:Bioreactors / Q000382:microbiology*; D003198:Computer Simulation; D005285:Fermentation / Q000502:physiology; D006358:Hot Temperature; D006813:Humidity; D008954:Models, Biological; D008956:Models, Chemical; D012212:Rheology; D012233:Rhizopus / Q000254:growth & development / Q000378:metabolism; D012680:Sensitivity and Specificity; D013816:Thermodynamics; D014867:Water / Q000737:chemistry*; D003313:Zea mays / Q000378:metabolism
D014867:Water