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Optimizing Chromatographic Separations01:15

Optimizing Chromatographic Separations

1.3K
Optimizing chromatographic separations is crucial for obtaining clean separations in a minimum amount of time. Optimization is required for several factors, including kinetic effects related to band broadening, plate height, capacity factor, and separation factor.
Band broadening refers to spreading solute bands as they travel through the column. This broadening can impact resolution. Plate height (H) represents the length required for one theoretical plate. A lower plate height corresponds to...
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Principles Of Column Chromatography01:13

Principles Of Column Chromatography

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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...
10.1K
Gas Chromatography: Types of Columns and Stationary Phases01:17

Gas Chromatography: Types of Columns and Stationary Phases

3.3K
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.
For an analyte to remain on the column for a sufficient amount of time, it must exhibit some level of compatibility (or...
3.3K
Ion-Exchange Chromatography01:09

Ion-Exchange Chromatography

3.0K
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...
3.0K
Size-Exclusion Chromatography01:08

Size-Exclusion Chromatography

2.8K
In size-exclusion chromatography (SEC), also known as molecular-exclusion or gel-permeation chromatography, molecules are separated based on their sizes. This technique is important for separating large molecules such as polymers and biomolecules. The two classes of micron-sized stationary phases encountered in SEC are silica particles and cross-linked polymer resin beads. Both materials are porous, but their pore sizes vary significantly.
Silica particles offer advantages such as rigidity,...
2.8K
Centrifugation01:05

Centrifugation

9.2K
Centrifugation is a separation technique based on differences in density or size. It is commonly used to separate solids from aqueous interferents. During centrifugation, the sample is placed in centrifugation tubes and spun at high angular velocity, which allows centrifugal force to act differentially on the different densities or masses of the components. After spinning, the supernatant liquid is decanted. Depending on the specific application, either the pellet or the supernatant is retained...
9.2K

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Updated: Apr 16, 2026

Curtain Flow Column: Optimization of Efficiency and Sensitivity
06:44

Curtain Flow Column: Optimization of Efficiency and Sensitivity

Published on: June 12, 2016

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Methodology for optimally sized centrifugal partition chromatography columns.

Sébastien Chollet1, Luc Marchal2, Jérémy Meucci3

  • 1GEPEA, UMR CNRS 6144, Université de Nantes, 37 bd de l'Université 44602 Saint Nazaire Cedex, France; Kromaton, Rousselet Centrifugation SA, Annonay, France.

Journal of Chromatography. A
|March 7, 2015
PubMed
Summary

Centrifugal Partition Chromatography (CPC) column sizing is optimized by a new methodology considering cell shape and hydrodynamics. This approach predicts optimal column length for efficient separation at laboratory and industrial scales.

Keywords:
Centrifugal Partition ChromatographyEngineeringFlow patternMass transferScale-up method

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Area of Science:

  • Separation Science
  • Chromatography
  • Chemical Engineering

Background:

  • Centrifugal Partition Chromatography (CPC) separates solutes using liquid-liquid partitioning without solid supports.
  • Instrument efficiency in CPC is critically dependent on phase hydrodynamics within the column cells.
  • Scaling up CPC processes is challenging due to non-linear hydrodynamic phenomena.

Purpose of the Study:

  • To propose a methodology for sizing Centrifugal Partition Chromatography columns.
  • To characterize the efficiency of advanced cell shapes considering hydrodynamic factors.
  • To determine the optimal cell number for laboratory and industrial-scale CPC applications.

Main Methods:

  • Developed a CPC column sizing methodology based on characterizing advanced cell shapes and hydrodynamics.
  • Utilized a visualization system ('Visual CPC') to observe mobile phase flow patterns.
  • Evaluated the relationship between stationary phase volume, cell efficiency, and separation resolution.
  • Tested the methodology on five different column geometries (25-5000 mL).

Main Results:

  • The proposed methodology allows for the calculation of the optimum cell number for CPC columns.
  • Efficiency characterization was performed for various cell geometries under different hydrodynamic conditions.
  • Successful application demonstrated for separating alkylbenzenes and peptides using specific biphasic systems.
  • The approach enables prediction of optimal CPC column length for maximum productivity.

Conclusions:

  • A robust methodology for CPC column sizing has been established, integrating hydrodynamic characterization and cell efficiency.
  • This approach addresses the challenges of scaling up CPC processes by accounting for non-linear phenomena.
  • The findings facilitate the prediction of optimal column configurations for enhanced productivity in both lab and industrial settings.