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Related Concept Videos

Principles Of Column Chromatography01:13

Principles Of Column Chromatography

The chromatography technique was first invented in 1901 by Michael S. Tswett, a Russian botanist, to separate plant pigments using organic solvents. Further, in 1941, Archer John Porter Martin and R. L. M. Synge modified the technique by packing silica gel into a column. A mixture of amino acids was then separated on the packed column using chloroform and water mixture as the mobile phase. This was the first report on column chromatography. At present, column chromatography is a widely used...
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Affinity chromatography is a powerful technique extensively utilized for separating and purifying specific biomolecules from complex mixtures. It capitalizes on the highly selective binding between an analyte and its counterpart, such as antibody-antigen interactions. The counterpart is immobilized on the stationary phase, forming an affinity column. The stationary phase typically consists of solid support, such as agarose or porous glass beads, immobilizing the affinity ligand. The mobile...

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Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
09:35

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Published on: April 1, 2017

Improved process analytical technology for protein a chromatography using predictive principal component analysis

Ying Hou1, Canping Jiang, Abhinav A Shukla

  • 1Department of Chemical and Biological Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York 12180, USA.

Biotechnology and Bioengineering
|July 31, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new principal component analysis (PCA) tool to predict protein A chromatography column performance and detect integrity failures early. This method helps maintain column yield and supports process analytical technology (PAT) in biomanufacturing.

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Digital Microfluidics for Automated Proteomic Processing
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Published on: November 6, 2009

Area of Science:

  • Biopharmaceutical Manufacturing
  • Chromatographic Purification
  • Process Analytical Technology (PAT)

Background:

  • Protein A chromatography is crucial for antibody and Fc-fusion protein purification.
  • High resin costs necessitate extensive resin reuse, making column performance monitoring essential for large-scale manufacturing.
  • Maintaining column integrity and predicting yield decay are significant challenges in bioprocesses.

Purpose of the Study:

  • To develop a novel principal component analysis (PCA)-based tool for predicting protein A chromatographic column performance over time.
  • To enable early detection of column integrity failures without separate testing.
  • To predict subtle and general trends in real-time protein A column yield decay.

Main Methods:

  • Application of statistical methods, including principal component analysis (PCA).
  • Development of a PCA-based tool for real-time column performance prediction.
  • Analysis of chromatogram transitions to model yield decay trends.

Main Results:

  • A PCA-based tool was developed to predict column performance and detect integrity failures before they occur.
  • The method allows for real-time prediction of column yield decay.
  • Early detection of column integrity issues is achieved without additional testing.

Conclusions:

  • The developed PCA-based approach offers a powerful tool for monitoring protein A chromatography.
  • This method facilitates timely decision-making in large-scale biomanufacturing operations.
  • The tool aligns with FDA's Process Analytical Technology (PAT) guidance for improved process control.