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Related Concept Videos

Principles Of Column Chromatography01:13

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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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Ion-exchange chromatography, or IEC, is a technique for separating ions based on their affinity for the stationary phase. The stationary phase is a cross-linked polymer resin with covalently attached ionic functional groups. The functional groups can be either positively charged (cation exchangers) or negatively charged (anion exchangers). A cation exchanger consists of a polymeric anion and active cations, while an anion exchanger is a polymeric cation with active anions. The choice of...
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In High-Performance Liquid Chromatography (HPLC), the elution process is critical to the separation of analytes and the quality of chromatographic results. Elution describes how compounds move through the column and separate based on their interactions with the mobile and stationary phases. This process determines the resolution, peak shape, and retention times in the chromatogram, which are essential for identifying and quantifying components in complex mixtures. Understanding the elution...
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Gas chromatography (GC) relies on stationary phases to separate and analyze components in a sample. There are two main types of stationary phases: liquid and solid. Liquid stationary phases are non-volatile, thermally stable, and chemically inert liquids coated onto the column. Solid stationary phases are particles of adsorbent material, such as silica gel or molecular sieves.
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Curtain Flow Column: Optimization of Efficiency and Sensitivity
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Evaluating two process scale chromatography column header designs using CFD.

Chris Johnson1, Venkatesh Natarajan, Chris Antoniou

  • 1Global Engineering Sciences, Biogen Idec Inc., 10 Cambridge Center, Cambridge, MA 02142.

Biotechnology Progress
|March 12, 2014
PubMed
Summary
This summary is machine-generated.

Understanding chromatography column distributor design is crucial for biomolecule purification scale-up. Computational Fluid Dynamics (CFD) modeling helps optimize flow distribution, improving packed bed performance and preventing scale-up issues.

Keywords:
chromatographycomputational fluid dynamics (CFD)flow distributionheader designsprocess scale columns

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Area of Science:

  • Biochemistry
  • Chemical Engineering
  • Process Engineering

Background:

  • Chromatography is essential for biomolecule downstream processing.
  • Scaling up chromatographic operations often increases column diameter, impacting flow distribution.
  • Distributor design in process scale columns significantly influences packed bed performance.

Purpose of the Study:

  • To investigate the impact of distributor designs on flow distribution in large-scale chromatography columns.
  • To evaluate the effect of flow distribution on column efficiency and cleanability during scale-up.
  • To present a validated Computational Fluid Dynamics (CFD) tool for analyzing distributor designs.

Main Methods:

  • Development and validation of a CFD tool using experimental dye traces and tracer injections.
  • Application of the CFD tool to compare two commercial header designs.
  • Analysis of flow distribution patterns within packed beds under different distributor designs.

Main Results:

  • CFD simulations revealed significant differences in flow distribution based on header design.
  • The validated CFD tool accurately predicted experimental observations.
  • Specific design features were identified as critical for achieving uniform flow distribution.

Conclusions:

  • CFD modeling is a cost-effective method for evaluating chromatography distributor designs.
  • Optimized distributor design is key to ensuring efficient and reliable biomolecule purification at scale.
  • Understanding flow distribution is vital for successful scale-up and preventing process inefficiencies.