Abstract
Mathematical models of organism growth help in designing and scaling-up bioreactors and in predicting how microorganisms will respond to changes in growth conditions so that an appropriate process control system can be devised Models also guide the analysis of experimental data and help in understanding biochemical growth mechanisms. Filamentous organisms which form pellets can be modelled using a cube root model or a modified logistic model. The cube root model allows detecting lag phases and stationary phases easily. The modified logistic model is a versatile model which can be used to model the entire growth cycle and which includes an adjustable inflection point for the rapid growth period These two models were tested by studying the growth of Acidothermus cellulolyticus in glucose and cellulose media in batch culture. The pH was maintained at 5.3 and the temperature was controlled at 45, 55, or 65°C. Cell biomass was determined by protein assay. The biomass productivity for the growth in a batch process shows that 55°C is the optimum temperature for biomass productivity. The growth data were used to evaluate the model parameters for the two models.
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© 1994 Springer Science+Business Media Dordrecht
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Hubbard, D.W., Co, T.B., Murthy, P.P.N., Mandalam, R. (1994). Modelling the Growth of Acidothermus cellulolyticus . In: Galindo, E., Ramírez, O.T. (eds) Advances in Bioprocess Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0641-4_34
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DOI: https://doi.org/10.1007/978-94-017-0641-4_34
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