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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...

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Identifying analytics for high throughput bioprocess development studies.

Spyridon Konstantinidis1, Simyee Kong, Nigel Titchener-Hooker

  • 1The Advanced Centre for Biochemical Engineering, Department of Biochemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK.

Biotechnology and Bioengineering
|January 22, 2013
PubMed
Summary
This summary is machine-generated.

High throughput screening (HTS) in bioprocess development faces analytical bottlenecks. This article guides selecting appropriate analytics to overcome these challenges for monoclonal antibody studies.

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Area of Science:

  • Biotechnology
  • Analytical Chemistry
  • Process Development

Background:

  • High throughput screening (HTS) is crucial for modern bioprocess development.
  • Analytical bottlenecks limit the efficiency of HTS studies due to sample volume.
  • Existing analytical methods may not scale effectively with the demands of HTS.

Purpose of the Study:

  • To identify key features of analytical methods relevant to high throughput (HT) applications.
  • To provide a framework for classifying analytical methods for HT bioprocess development.
  • To address the analytical challenges in HTS for monoclonal antibody (mAb) development.

Main Methods:

  • Review and discussion of analytical method characteristics impacting HT suitability.
  • Analysis of common analytical techniques used in mAb bioprocess development.
  • Development of a classification system for analytical methods in HT contexts.

Main Results:

  • Identified critical features influencing the fit of analytical methods for HT applications.
  • Evaluated various analytical methods based on their HT compatibility.
  • Proposed a classification approach for analytical methods in HT scenarios.

Conclusions:

  • Appropriate selection and classification of analytical methods are essential to overcome HTS bottlenecks.
  • Understanding method features allows for better integration into HT workflows.
  • This work aids in optimizing analytical strategies for efficient bioprocess development.