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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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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...
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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...
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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...
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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...
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A Computer-assisted Multi-electrode Patch-clamp System
11:01

A Computer-assisted Multi-electrode Patch-clamp System

Published on: October 18, 2013

Development of a versatile computer integrated control system for bioprocess controls.

D Kong1, R Gentz, J Zhang

  • 1Human Genome Sciences Inc., 9410 Key West Ave., Rockville, MD, 20850, U.S.A.

Cytotechnology
|February 24, 2012
PubMed
Summary

A networked computer integrated control system was developed for flexible and potent process management. This system accurately controlled mammalian cell perfusion culture parameters, including glucose levels.

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Area of Science:

  • Biotechnology
  • Computer Science
  • Process Engineering

Background:

  • Implementing networked control systems for biological processes requires flexible and potent solutions.
  • Traditional programming methods can be time-consuming and limit adaptability.
  • Accurate monitoring and control of key parameters are crucial for cell culture success.

Purpose of the Study:

  • To describe a general approach for implementing a networked multi-unit computer integrated control system.
  • To demonstrate the application of this system for mammalian cell perfusion culture control.
  • To highlight the system's flexibility and user-friendly interface for process management.

Main Methods:

  • Utilized data acquisition hardware and graphical programming tools for system development.
  • Implemented a customized user interface for process control parameters.
  • Applied the system to control mammalian cell perfusion culture, focusing on glucose concentration.

Main Results:

  • The control system demonstrated potency and flexibility in managing complex processes.
  • Accurate control of temperature, pH, dissolved oxygen, and glucose levels was achieved.
  • The system allowed for customized user interaction and future functional enhancements.

Conclusions:

  • A networked computer integrated control system offers an effective solution for biological process management.
  • Graphical programming and data acquisition enhance system flexibility and reduce development time.
  • The demonstrated application in mammalian cell perfusion culture validates the system's capability for precise environmental control.