Evaluation of sensors for the control of a continuous ethanol fermentation

Polakovič, Milan; Mandenius, Carl‐Fredrik

doi:10.1007/bf00369532

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…Fortunately, due to modern developments in this field, a wide selection of methods are available [9,10], such as flow injection analysis [11], near infrared spectroscopy [12,13], mid-infrared spectroscopy [14][15][16], HPLC [6], inexpensive gas sensors [8], biosensors [17,7,18,19] and mass spectrometry [20].…”

Section: Introductionmentioning

confidence: 99%

Control of yeast fed-batch process through regulation of extracellular ethanol concentration

Cannizzaro

Valentinotti

Stockar

2004

Bioprocess Biosyst Eng

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At high growth rates, the biomass yield of baker's yeast (Saccharomyces cerevisiae) decreases due to the production of ethanol. For this reason, it is standard industrial practice to use a fed-batch process whereby the specific growth rate, mu, is fixed at a level below the point of ethanol production, i.e., mucrit. Optimally, growth should be maintained at mucrit, but in practice, this is difficult because mucrit is dependent upon strain and culture conditions. In this work, growth was maintained at a point just above mucrit by regulating ethanol concentration in the bioreactor. The models used for control design are shown, as are the experimental results obtained when this strategy was implemented. This technique should be applicable to all microorganisms that exhibit an "overflow" type metabolism.

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Section: Introductionmentioning

confidence: 99%

Control of yeast fed-batch process through regulation of extracellular ethanol concentration

Cannizzaro

Valentinotti

Stockar

2004

Bioprocess Biosyst Eng

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Reachability of nonlinear fed‐batch fermentation processes

Szederkényi

Kovács

Hangos

2002

Intl J Robust & Nonlinear

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SUMMARYThe reachability of a simple nonlinear fed-batch fermentation process model is investigated in this paper. It is shown that the known difficulties of controlling such processes are primarily caused by the fact that the rank of the reachability distribution is always less than the number of state variables.Furthermore, a co-ordinates transformation is calculated analytically that shows the nonlinear combination of the state variables which is independent of the input. The results of the reachability analysis and that of the co-ordinates transformation are independent of the source function in the system model.The results are extended to the four state variable non-isotherm case, and to nonlinear fed-batch chemical reactors with general reaction kinetics.

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