1999
DOI: 10.1007/s004490050607
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Modelling fungal solid-state fermentation: the role of inactivation kinetics

Abstract: The theoretical mathematical models described in this paper are used to evaluate the effects of fungal biomass inactivation kinetics on a non-isothermal tray solid-state fermentation (SSF). The inactivation kinetics, derived from previously reported experiments done under isothermal conditions and using glucosamine content to represent the amount of biomass, are described in different ways leading to four models. The model predictions show only signi®cant effects of inactivation kinetics on temperature and bio… Show more

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Cited by 41 publications
(42 citation statements)
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“…The later model of Rajagopalan and Modak [6] explicitly describes the various steps in O 2 transfer to and within a biofilm growing at the particle surface and therefore is more mechanistic, providing the basis for an investigation into whether diffusion of O 2 within the pores, transfer from the pores to the biofilm or diffusion within the biofilm is the limiting step in O 2 transfer. However, if there is good empirical data on which to express O 2 consumption rates, then the approach of Smits et al [7] might be preferable due to its simplicity.…”
Section: Oxygen Balances For Tray Bioreactorsmentioning
confidence: 99%
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“…The later model of Rajagopalan and Modak [6] explicitly describes the various steps in O 2 transfer to and within a biofilm growing at the particle surface and therefore is more mechanistic, providing the basis for an investigation into whether diffusion of O 2 within the pores, transfer from the pores to the biofilm or diffusion within the biofilm is the limiting step in O 2 transfer. However, if there is good empirical data on which to express O 2 consumption rates, then the approach of Smits et al [7] might be preferable due to its simplicity.…”
Section: Oxygen Balances For Tray Bioreactorsmentioning
confidence: 99%
“…The more recent models of Rajagopalan and Modak [5,6] and Smits et al [7] consider both mass and energy balances and do not make the pseudo-steady-state assumption. In these two models, the systems are visualized slightly differently (Fig.…”
Section: State Of the Art In Modeling Mass And Energy Balances In Tramentioning
confidence: 99%
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