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Related Concept Videos

Bioreactor Design and Operational System01:29

Bioreactor Design and Operational System

Bioreactors are engineered vessels designed to cultivate microorganisms under controlled conditions for industrial bioprocessing. They maintain sterility and allow precise regulation of pH, temperature, oxygen, and nutrient levels to optimize microbial growth and metabolite production. Bioreactors range from small laboratory units of 1 liter to industrial systems holding up to 500,000 liters, though only about 75% of their volume is actively used for fermentation. The remaining headspace...
Bioreactor Controls-II01:18

Bioreactor Controls-II

In aerobic fermentations, oxygen is vital for microbial growth and metabolite production. Since air comprises only about 20% oxygen and the gas is poorly soluble in water—just 9 ppm at 20°C—supplying sufficient oxygen becomes a critical challenge, especially in high-demand processes like yeast growth or citric acid production. Even a fully saturated broth may offer only a few seconds of oxygen availability.To address this, sterile or scrubbed air is introduced into the fermentor via a sparger...
Bioreactor Controls-I01:28

Bioreactor Controls-I

Maintaining optimal conditions within fermenters is essential for maximizing microbial productivity and ensuring process efficiency. This lesson focuses on key parameters—temperature, foam, pH, carbon dioxide, oxygen, and pressure—and their precise measurement and control strategies in fermentation systems.Temperature ControlTemperature regulation is critical due to the exothermic nature of many fermentation processes. In small laboratory fermenters, temperature is commonly monitored using...
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Upstream Processing

Upstream processing represents a critical phase in biomanufacturing, wherein biological systems such as microorganisms, mammalian cells, or insect cells are cultivated to produce therapeutic proteins, vaccines, enzymes, or other biologically derived products. This phase encompasses all steps from the selection and genetic manipulation of the production organism to the cultivation of cells in bioreactors under tightly controlled environmental conditions.Host Selection and Genetic OptimizationThe...
Bioreactor Controls-III01:22

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Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...
Batch vs Continuous Culture01:14

Batch vs Continuous Culture

Fermentation is a foundational biotechnological process used to produce pharmaceuticals, biofuels, enzymes, and food additives. Among industrial strategies, batch and continuous fermentation are the two most widely applied. Although both rely on microbial conversion of substrates into desired products, they differ markedly in operation, productivity, and suitability for specific applications.Batch fermentation occurs in a closed system in which nutrient media and inoculum are added at the...

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Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation
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The design of controllers for batch bioreactors.

R J Cardello1, K Y San

  • 1Department of Chemical Engineering, Rice University, PO Box 1892, Houston, Texas 77251, USA.

Biotechnology and Bioengineering
|August 5, 1988
PubMed
Summary

This study presents two novel control strategies for batch bioreactors to manage changing fermentation dynamics. Gain scheduling, using oxygen uptake rate, offers superior control over fixed-gain PID controllers.

Area of Science:

  • Biotechnology
  • Chemical Engineering
  • Control Systems

Background:

  • Batch bioreactor control is challenging due to dynamic process variations.
  • Fixed-gain PID controllers show limitations in performance across wide operating ranges.

Purpose of the Study:

  • To develop and evaluate advanced control algorithms for batch fermentation.
  • To compensate for changing process dynamics and improve control performance.

Main Methods:

  • Implementation of static feedforward-feedback control.
  • Development of a gain-scheduling controller utilizing oxygen uptake rate as an auxiliary variable.
  • Simulation experiments to assess controller performance.

Main Results:

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  • Both feedforward-feedback and gain-scheduling controllers improved performance compared to standard feedback.
  • The gain-scheduling controller demonstrated superior control by adapting PID parameters.
  • Significant performance improvements were observed even with measurement noise.
  • Conclusions:

    • Gain scheduling is an effective adaptive control strategy for batch bioreactors.
    • Proposed controllers offer enhanced performance for oxygen tension control in fermentation.
    • These methods provide robust solutions for complex bioreactor dynamics.