BATCH FERMENTATION: Modeling, Monitoring and Control


Batch Fermentation: Modeling, Monitoring and Control

Textbook

Hard Cover | Illustrated

Print ISBN: 0-8247-4034-3

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Related Publications

  • G. Birol, C. Undey and A. Cinar, A Modular Simulation Package for Fed-batch Fermentation:
    Penicillin Production, Computers and Chemical Engineering, 26(11), 1553-1565, 2002.

    Abstract
    Simulation software based on a detailed unstructured model for penicillin production in a fed-batch
    fermentor has been developed. The model extends the mechanistic model of Bajpai and Reuss by
    adding input variables such as pH, temperature, aeration rate, agitation power, and feed flow rate of
    substrate and introducing the CO2 evolution term. The simulation package was then used for monitoring
    and fault diagnosis of a typical penicillin fermentation process. The simulator developed may be used for
    both research and educational purposes and is available at the web site: http://www.chee.iit.edu/~control/software.html.

  • G. Birol, C. Undey, S. J. Parulekar and A. Cinar, A Morphologically Structured Model for
    Penicillin Production, Biotechnology and Bioengineering, 77(5), 538-552, 2002.

    Abstract
    A morphologically structured model is proposed to describe penicillin production in fed-batch cultivations.
    The model accounts for the effects of dissolved oxygen on cell growth and penicillin production and
    variations in volume fractions of abiotic and biotic phases due to biomass formation. Penicillin production
    is considered to occur in the subapical hyphal cell compartment and to be affected by availability of glucose
    and oxygen. As it stands, the model provides a wide range of applicability in terms of operating conditions.
    The model has been tested for various conditions and has given satisfactory results. A series of glucose
    feeding profiles have been considered to demonstrate the capabilities of the proposed model. It is concluded
    that the model may be valuable for the interpretation of experimental data collected specifically for metabolic
    flux analysis during fed-batch cultivation because the elements of measured specific production rates are
    determined from measurements of the concentrations of the components and their mass balances. The
    proposed model may be further used for developing control strategies and model order reduction algorithms.

  • C. Undey and A. Cinar, Statistical Monitoring of Multistage, Multiphase Batch Processes,
    IEEE Control Systems Mag., 22(5), 40-52, 2002.

    Abstract
    In this study, an MSPM framework for multistage multiphase processes was proposed where pharmaceutical
    granules production was used as a case study. Local models were proven to be advantageous when different
    phases exist in process stages and when precise phase separation is crucial. Online SPM was performed
    through different AHPCA models, since stage-wise continuity did not exist in variable readings. Overall process
    monitoring was performed using super-level models based on a consensus matrix to identify localized faults in
    process stages/phases. This identification provides a means of decreasing the time required for the assessment
    of historical batch process data as well as newly completed batches. The whole procedure can also be
    integrated with a knowledge-based system to include explanations about the diagnostics.

  • I. Birol, C. Undey, G. Birol and A. Cinar, A Web-Based Simulator for Penicillin Fermentation,
    Intl. Journal of Engineering Simulation, 2(1), 24-30, 2001.

    Abstract
    A web-based dynamic simulator of penicillin production in a fed-batch bioreactor has been developed. An
    unstructured mathematical model previously developed in our laboratory was used to simulate the system dynamics.
    The user interface is written as web based application to enable users to run “virtual experiments" to test the
    effects of initial conditions and operating parameters on system dynamics for monitoring, diagnosis and control
    studies. The software is intended to be used in academic education and research as well as in industrial on-the-job
    training. The application is available on http://www.chee.iit.edu/~control/PenSim/v1.0/.