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Related Concept Videos

Upstream Processing01:27

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 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-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-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...
Scale-Up Processes01:14

Scale-Up Processes

The scale-up of microbial fermentation processes is essential in industrial biotechnology, allowing the transition from laboratory-scale experiments to commercial-scale production while aiming to maintain product yield and quality. This process requires meticulous adjustment of equipment design, process parameters, and contamination control strategies to accommodate increasing culture volumes.At the laboratory scale, cultures are typically maintained in 1 to 10-liter glass or autoclavable...
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Bioavailability Enhancement: Determination and Conceptual Approaches in Overcoming Bioavailability Problems

Bioavailability is a critical pharmacological concept that measures the extent and rate at which an active drug ingredient or therapeutic moiety enters the systemic circulation, remaining unchanged. It's a pivotal factor in determining a drug's efficacy and safety.The Biopharmaceutics Classification System (BCS) plays an essential role in drug development by categorizing drugs into four classes based on their solubility and permeability. This classification aids in understanding drug absorption...

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Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation
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Application of agent-based system for bioprocess description and process improvement.

Ying Gao1, Katie Kipling, Jarka Glassey

  • 1Dept. of Biochemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.

Biotechnology Progress
|December 17, 2009
PubMed
Summary

A new agent-based framework models entire bioprocesses, capturing unit interactions for better decision-making in development and manufacturing. This approach ensures efficient biopharmaceutical production and process improvement.

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Area of Science:

  • Bioprocess Engineering
  • Computational Biology
  • Pharmaceutical Manufacturing

Background:

  • Bioprocess modeling is crucial for design, scale-up, and manufacturing decisions.
  • Traditional models often analyze process units separately, neglecting critical inter-unit interactions.
  • Accurate prediction of overall bioprocess performance requires modeling these interactions.

Purpose of the Study:

  • To develop a systematic framework for bioprocess analysis using a whole-process understanding.
  • To integrate process models effectively by considering interactions between operations.
  • To enable prediction of overall process behavior for improved development and manufacturing.

Main Methods:

  • An agent-based approach was adopted to create a flexible infrastructure for integrating process models.
  • A multi-agent system was designed, comprising a process knowledge base, process models, and functional agents.
  • Agent components cooperate to describe process behavior, evaluate conditions, monitor operations, predict performance, and guide decision-making.

Main Results:

  • The framework enables prediction of overall bioprocess behavior, facilitating fast evaluation of process improvement options.
  • During development, the system aids in evaluating the process design space.
  • During manufacturing, it identifies abnormal events and suggests deviation management strategies.

Conclusions:

  • The agent-based framework provides a plant-wide process description, enhancing the integration of process operations.
  • This approach supports efficient biopharmaceutical manufacturing by ensuring process consistency and identifying optimal operating conditions.
  • The system facilitates process improvement through better understanding and management of bioprocesses.