Related Experiment Video
Updated: Jul 8, 2026
06:24
Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
Published on: December 15, 2017
Global Sensitivity Analysis for the determination of parameter importance in bio-manufacturing processes
Sunil Chhatre1, Richard Francis, Anthony R Newcombe
1The Advanced Centre for Biochemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK. sunil.chhatre@ucl.ac.uk
Biotechnology and Applied Biochemistry
|January 22, 2008
Summary
Global Sensitivity Analysis (GSA) optimizes bioprocesses by ranking input variables for yield and throughput. This study applied GSA to an entire downstream process, identifying key factors for manufacturing improvements.
Area of Science:
- Biotechnology
- Process Engineering
- Pharmacology
Background:
- Biopharmaceutical manufacturing relies on complex mathematical models to optimize processes.
- Global Sensitivity Analysis (GSA) is a powerful technique for understanding model behavior.
- Previous GSA applications were limited to single unit operations, not entire processes.
Purpose of the Study:
- To apply GSA to a complete downstream bioprocess model.
- To identify key input variables influencing product yield and throughput.
- To provide a data-driven basis for biomanufacturing improvements.
Main Methods:
- Mathematical modeling of a downstream bioprocess for Fab-based antivenom production.
- Application of Global Sensitivity Analysis (GSA) to quantify input variable influence.
- Analysis of interactions between variables and their impact on process outputs.
Main Results:
- Product yield was primarily controlled by IgG feed concentration, affinity column capacity, and flow rate.
- Product throughput was mainly influenced by affinity column capacity, ultrafiltration concentration factor, and flow rate.
- GSA successfully identified critical parameters for optimizing the antivenom production process.
Conclusions:
- GSA is effective for analyzing entire downstream bioprocesses, not just unit operations.
- Identifying key variables through GSA enables targeted strategies for enhancing biomanufacturing.
- This approach supports rational decision-making for commercial-scale production improvements.
Related Concept Videos
01:27Upstream 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...
01:14Scale-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...
01:28Methods of Medium Optimization
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
01:22Bioreactor 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...
01:16Bioequivalence Data: Statistical Interpretation
The statistical interpretation of bioequivalence data is a significant aspect of pharmaceutical research. Bioequivalence refers to the absence of any significant difference in the rate and extent to which the active ingredient in pharmaceutical products becomes available at the site of drug action when administered at the same molar dose under similar conditions. This helps determine if different drug products have similar absorption rates, ensuring their interchangeability.Statistical...
01:28Bioreactor 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...