Results 211 to 220 of about 14,337 (261)
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Glycerol production by fermentation: A fed‐batch approach

Biotechnology and Bioengineering, 1987
In this investigation the bioconversion of glycerol from glucose was studied in a laboratory fermentor using an alkaline medium with a fed batch mode of carbon source addition yielding 30% glycerol concentration in the final broth. (Refs. 9).
P, Vijaikishore, N G, Karanth
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Adaptive Optimal Control of Fed-Batch Alcoholic Fermentation

Applied Biochemistry and Biotechnology, 1998
An adaptive control scheme is developed for the optimization of a fed-batch ethanol production process. The fermentation process is modeled by an hybrid neural model combining mass balance equations and neural networks, used to represent the kinetic rates.
T L, Alves   +3 more
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Optimization for a recombinantE. coli fed-batch fermentation

Applied Biochemistry and Biotechnology, 1995
The operating strategy that produces the maximum foreign protein expression for a fed-batch process is desired. This is achieved by using a feasible quadratic programming (FSQP) algorithm with a structured model that describes cell growth and product formation for recombinant E. coli.
Q, Chen, W E, Bentley, W A, Weigand
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Robust operation of fed batch fermenters

Bioprocess Engineering, 1998
Optimisation of fed batch fermenters can substantially increase the profitability of these processes. Optimal control of a fed batch fermenter is usually based on a nominal process model. Parameter uncertainties are not taken into account. Simulation studies show that results obtained with fixed nominal model parameters can be quite sensitive to the ...
C. Kuhlmann   +2 more
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Industrial Fed-Batch Fermentation Monitoring

IFAC Proceedings Volumes, 1997
Abstract A multivariate statistical model is developed and used for fault diagnosis of an industrial fed-batch fermentation process. Process faults may be detected on-line using existing measurements. In the applied approach the modelling is entirely data driven. Several data sets (25) are used to develop a model for cultivation behaviour. This model
Lars Gregersen   +2 more
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Modeling for Control of Fed-Batch Fermenters

IFAC Proceedings Volumes, 2000
Abstract A simple method for controlling fed-batch fermenters is presented. Two linear models are derived for control design. The first one relates the input to the desired operating point. The second model describes the exponential cell growth as an unstable disturbance.
Valentinotti, S.   +3 more
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Production of pullulan by a fed-batch fermentation

Biotechnology Letters, 1987
In pullulan production from sucrose byAureobasidium pullulans, a sugar concentration higher than 5% (w/v) inhibited cell growth and the production of exopolysaccharide. By a fed-batch fermentation, the inhibitory effects of the high sugar concentration were overcome and 58.0 g/1 of exopolysaccharide were obtained from 10% sucrose.
Yong Chul Shin   +4 more
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Parameter Adaptive Control of the Fed-Batch Penicillin Fermentation

IFAC Proceedings Volumes, 1985
Abstract This paper describes a study to investigate the application of parameter adaptive control to mould growth in a fed-batch fermentation for penicillin production. Two models for the penicillin fermentation are described: a new mechanistic model is outlined and compared with a model based upon the work of Bajpai with an extension to include ...
G.A. Montague   +4 more
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An adaptive neural control of a fed-batch fermentation processes

Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003., 2004
A nonlinear mathematical model of a feed-batch fermentation process of Bacillus thuringiensis (Bt.) is derived and a theorem proof of the existence of positive solution of the obtained model is done. The obtained model is validated by experimental data.
Ieroham S. Baruch   +3 more
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Adaptive Control of a Fed-batch Baker's Yeast Fermentation

IFAC Proceedings Volumes, 1985
Abstract Two adaptive controllers for the regulation of the respiratory quotient of a fed-batch baker's yeast fermentation are presented. The first one is a feed forward adaptive controller based on a second order model from which the parameters are determined with auxiliary measurements. The second one is a self-tuning controller.
R.M. Dekkers, M. Voetter
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