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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...
Designing Growth Media for Bioreactors01:30

Designing Growth Media for Bioreactors

Growth media provide essential nutrients that support cell growth and metabolism, thereby enhancing the yield of valuable products such as enzymes, antibiotics, and biomass. Designing an effective growth medium involves balancing all components to prevent nutrient limitations or toxic excesses, both of which can impair growth and reduce product yields.Composition of a Typical Growth MediumA typical growth medium contains carbon and nitrogen sources, salts, vitamins, trace elements, and...
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...
Bioreactor Controls-III01:22

Bioreactor Controls-III

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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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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Related Experiment Video

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Multi-Stream Perfusion Bioreactor Integrated with Outlet Fractionation for Dynamic Cell Culture
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Published on: July 20, 2022

A simple visualization technique to understand the system dynamics in bioreactors.

Kaustubh R Patil1, Abhijit J Kulkarni

  • 1LIAAD/INESC Porto LA, University of Porto, Portugal.

Biotechnology Progress
|August 25, 2007
PubMed
Summary

This study introduces a graph theory approach to visualize system behavior using partial correlations. The method reveals underlying network structures, successfully analyzing normal and faulty biological reactor operations.

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Area of Science:

  • Systems Engineering
  • Network Science
  • Data Visualization

Background:

  • Analyzing complex system behavior requires effective visualization and analysis techniques.
  • Understanding system dynamics under various operating conditions is crucial for performance and fault detection.

Purpose of the Study:

  • To present a novel graph theoretic method for visualizing and analyzing system behavior.
  • To uncover latent network structures within system attributes using partial correlations and network scaling.

Main Methods:

  • Representing system attributes as nodes in a graph.
  • Defining edge weights by partial correlation between attributes.
  • Applying Pathfinder Network Scaling to reduce redundant links and reveal network structure.

Main Results:

  • Successfully visualized and analyzed system behavior under normal and faulty conditions using a simulated biological reactor dataset.
  • Demonstrated the method's ability to uncover latent network structures.

Conclusions:

  • The proposed graph theoretic method provides a generalizable approach for system behavior analysis.
  • The technique is effective in identifying system dynamics and potential anomalies.