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The purpose of the present study was to ascertain the optimal concentration of dissolved oxygen in order to maximize the intracellular glucose oxidase formation in Aspergillus niger. Cultivations performed in a 3.5 l laboratory reactor showed that a dissolved oxygen concentration at 3% of saturation at a total pressure of 1.2 bar was optimal for maximizing intracellular glucose oxidase activity. Cultivations performed at higher dissolved oxygen concentrations did not produce as much glucose oxidase as those performed at 3%, although the formation rate was high. Experiments revealed that maximal intracellular glucose oxidase formation for the A. niger strain used, is accomplished by limiting the gluconic acid production rate by means of maintaining a low dissolved oxygen concentration. Several attempts to achieve higher intracellular glucose oxidase activity were also made by manipulating the glucose concentration at a 3% dissolved oxygen concentration. However, no enhancement in glucose oxidase activity was observed.

In order to study and control fermentation processes, indirect on-tine measurements and mathematical models can be used. In this article we present a mathematical on-line model for fermentation processes. The model is based on atom and partial mass balances as well as on equations describing the acid-base system. The model is brought into an adaptive form by including transport equations for mass transfer and unstructured expressions for the fermentation kinetics. The state of the process, i.e., the concentrations of biomass, substrate, and products, can be estimated on-line using the balance part of the model completed with measurement equations for the input and output flows of the process. Adaptivity is realized by means of on-line estimation of parameters in the transport and kinetic expressions using recursive regression analysis. These expressions can thus be used in the model as valid equations enabling prediction of the process. This makes model-based automation of the process and testing of the validity of the measurement variables possible. The model and the on-line principles are applied to a 3.5-L laboratory tormentor in which Saccharomyces cerevisiae is cultivated. The experimental results show that the model-based estimation of the state and the predictions of the process correlate closely with high-performance liquid chromatography (HPLC) analyses. (c) 1995 John WileySons, Inc.

Ultrafiltration of a colloidal suspension, an oil-water emulsion, was investigated in a pilot-plant apparatus with tubular membrane modules. A model presented in the literature for describing the permeation rate based on the Hagen-Poiseuille equation was used and modified. A method was developed for estimating fluxes utilizing a small amount of experimental data and using a parameter estimation procedure based on simulation.