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  • 1
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Journal of Biotechnology 35 (1994), S. 51-68 
    ISSN: 0168-1656
    Keywords: Feed rate optimization ; Hybrid process model ; Process control ; State estimation ; State prediction
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Process Engineering, Biotechnology, Nutrition Technology
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Trends in Biotechnology 12 (1994), S. 304-311 
    ISSN: 0167-7799
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Process Engineering, Biotechnology, Nutrition Technology
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Bioprocess and biosystems engineering 15 (1996), S. 145-150 
    ISSN: 1432-0797
    Source: Springer Online Journal Archives 1860-2000
    Topics: Process Engineering, Biotechnology, Nutrition Technology
    Notes: Abstract A new simple strategy for a reliable and robust automatic control of the specific growth rate in fed-batch cultivation processes is presented. Its advantages over model supported control is that the algorithm only needs a minimum of information about the process. Moreover, it is independent of the specific microorganism, the cultivation phase and the biomass level. Also, only a minimum of soft- and hardware is required. Hence, the approach is attractive for industrial production processes that do not have specialized instrumentation. Its accuracy is comparable with model supported control and thus sufficient for most industrial applications. Simulations and experimental tests of the technique performed for the example of a fed-batch cultivation of E. coli demonstrate a good controller performance for various cultivation conditions and process disturbances. Preferred applications will be production systems where the productivity is critically dependent on the growth rate, e.g. in recombinant protein or antibiotic productions.
    Type of Medium: Electronic Resource
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  • 4
    ISSN: 0178-515X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Process Engineering, Biotechnology, Nutrition Technology
    Notes: Abstract  A new simple strategy for a reliable and robust automatic control of the specific growth rate in fed-batch cultivation processes is presented. Its advantages over model supported control is that the algorithm only needs a minimum of information about the process. Moreover, it is independent of the specific microorganism, the cultivation phase and the biomass level. Also, only a minimum of soft- and hardware is required. Hence, the approach is attractive for industrial production processes that do not have specialized instrumentation. Its accuracy is comparable with model supported control and thus sufficient for most industrial applications. Simulations and experimental tests of the technique performed for the example of a fed-batch cultivation of E. coli demonstrate a good controller performance for various cultivation conditions and process disturbances. Preferred applications will be production systems where the productivity is critically dependent on the growth rate, e.g. in recombinant protein or antibiotic productions.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Bioprocess engineering 18 (1998), S. 227-234 
    ISSN: 0178-515X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Process Engineering, Biotechnology, Nutrition Technology
    Notes: Abstract In this paper a simple design procedure is used to enhance the performance of a biotechnical cultivation process. A model supported approach is proposed. It starts with a simple classical process model obtained from literature data, which is used to design the first experiment. Then, the main procedure is an iteration of (i) improving the model making use of the deviations between the experimental data and the data predicted by the model, (ii) of designing the next experiment by determining the optimal control profiles from the current model, and (iii) of executing that designed experiment. Important for the success of the procedure is that the model development is oriented at the process performance. The procedure is demonstrated at the simple practical example of a laboratory-scale fed-batch cultivation of Escherichia coli.
    Type of Medium: Electronic Resource
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  • 6
    ISSN: 1573-6784
    Keywords: fed-batch cultivation ; recombinant protein ; E. coli ; model based optimization
    Source: Springer Online Journal Archives 1860-2000
    Topics: Process Engineering, Biotechnology, Nutrition Technology
    Notes: Abstract A model-based feed-rate profile optimization problem is discussed for the fed-batch recombinant protein production. Two optimization procedures, an evolutionary programming technique and a simplified method using the dynamic programming concept, are discussed and compared. Modeling as well as experimental results are presented.
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Biotechnology letters 19 (1997), S. 1043-1047 
    ISSN: 1573-6776
    Source: Springer Online Journal Archives 1860-2000
    Topics: Process Engineering, Biotechnology, Nutrition Technology
    Notes: Abstract A simple design procedure is proposed that can be used to enhance the performance of a biological cultivation process. The model-supported method starts with a simple model. This is used to design first experiment, i.e., to calculate such a control profile that improves the process performance. The results of the experiment are then used to update the model and subsequently the control profiles. The procedure was first tested at simulated Saccharomyces cerevisiae and Penicillum chrysogenum cultivation processes and then practically applied to optimize an E.coli cultivation.
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    New York, NY [u.a.] : Wiley-Blackwell
    Biotechnology and Bioengineering 28 (1986), S. 362-371 
    ISSN: 0006-3592
    Keywords: Chemistry ; Biochemistry and Biotechnology
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Biology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: An adaptive measuring system of the main variables of biotechnical processes based on the theory of estimation is elaborated upon here. All stages of system synthesis are considered. It is shown that for an adaptive measuring system all a priori information on modelling and measurement noise and process mathematical models must be used. The data of direct and indirect measurements are used for estimating the main variables. The performance of the proposed measuring system was checked using imitative modelling.
    Additional Material: 6 Ill.
    Type of Medium: Electronic Resource
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