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Ion Exchange Chromatography IEX Coupled to Multi-angle Light Scattering MALS for Protein Separation and Characterization
Published on: April 5, 2019
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High-Throughput Analytical Light Scattering for Protein Quality Control and Characterization.
Daniel Some1, Vladimir Razinkov2
1Wyatt Technology Corp., Santa Barbara, CA, USA. dsome@wyatt.com.
Methods in Molecular Biology (Clifton, N.J.)
|July 4, 2019
Summary
High-throughput static and dynamic light scattering methods enable efficient protein characterization during purification and formulation. These techniques accelerate the screening of biotherapeutics and excipients for quality control.
Area of Science:
- Biophysical characterization
- Protein science
- Analytical chemistry
Background:
- Accurate protein characterization is crucial for biopharmaceutical development and quality control.
- Traditional methods can be time-consuming and require large sample volumes.
- High-throughput screening is essential for optimizing biotherapeutic candidates and formulations.
Purpose of the Study:
- To review high-throughput techniques for protein characterization and quality control.
- To highlight the application of static and dynamic light scattering in bioprocessing.
- To demonstrate the utility of these methods in evaluating biophysical properties.
Main Methods:
- Review of literature on static light scattering (SLS) and dynamic light scattering (DLS) techniques.
- Focus on Multi-Angle Static Light Scattering (MALS) coupled with Ultra-High-Performance Liquid Chromatography (UHPLC).
- Emphasis on high-throughput DLS in microwell-plate formats.
Main Results:
- MALS-UHPLC effectively characterizes critical biophysical properties like size and molecular weight.
- High-throughput DLS rapidly screens numerous conditions, excipients, cell lines, and biotherapeutic candidates.
- These methods provide essential data for purification, evaluation, and formulation stages.
Conclusions:
- High-throughput light scattering techniques offer powerful tools for protein analysis.
- MALS and DLS significantly enhance efficiency and data generation in biopharmaceutical research.
- These methods are vital for robust quality control and accelerated development of protein-based therapeutics.
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