1. INTRODUCTION
1.1 A microorganism: a microscopic biochemical factory
A single cell is considered as a microscopic biochemical factory. Materials such as carbon, nitrogen, oxygen and others are brought into the cell and converted within the cell via hundreds of reactions to the various constituents of the cell as well as to biochemical products which may be retained or transported back into the environment outside the cell.1 Metabolic activities inside the cell are regulated at various levels both inside and outside the cell. Moreover, biological activity of the cell is extremely sensitive to the environment it is exposed to. Because of this multi - level complex regulation, by an engineering point of view, it is of utmost importance to understand the nutritional and environmental factors affecting cell metabolism.
1.2 Bioreactor as a controlled environment for the growth of microorganisms
An engineer is always interested in consistently producing large quantities of product of interest over long periods of time. The best way to achieve this goal will be to grow the cells in a bioreactor where the cellular activity can be controlled efficiently. The three basic modes of bioreactor operation are batch, fed-batch and continuous. The control issues related to each of these will be discussed in later sections.
1.3 Importance of process control in bioreactors
Development of methods for monitoring and control of commercial bioprocessing including reliable and robust real-time sensors has been listed an outreaching priority for federal investment in a report published in July 95 from the Biotechnology Research Subcommittee (BRS) of the Committee on Fundamental Science of the National Science and Technology Council. The optimal performance of the upstream processing can not be achieved without the knowledge of the state of the system and on control algorithms that can optimize the process. Controls of bioprocesses is challenging, particularly in batch and fed-batch bioreactors, due to high degree of nonlinearity (meaning that nonlinear differential equations are required for mathematical modeling); and their potential for instability when they involve high-yield mutant or recombinant microorganism. These problems are further complicated by the scarcity of on-line real -time sensors and realistic models that capture the intricate complexities of biological systems.2
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