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Related Concept Videos

Column Efficiency: Plate Theory01:10

Column Efficiency: Plate Theory

Band broadening in a chromatography column is measured by its efficiency. This is determined by the number of theoretical plates (N). Theoretical plate theory states that a separation column consists of a continuous series of imaginary plates where solute equilibration occurs between stationary and mobile phases.
A higher number of theoretical plates signifies better column efficiency and improved separation capabilities. Plate height affects bandwidth and separation quality; it is inversely...
Column Efficiency: Rate Theory01:12

Column Efficiency: Rate Theory

The rate theory of chromatography provides quantitative insight into the shapes and widths of elution bands. These bands are based on the random-walk mechanism governing molecular migration within a column. The Gaussian profile of chromatographic bands arises from the cumulative effect of random molecular motions as they progress through the column.
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Optimizing Chromatographic Separations01:15

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Ion-Exchange Chromatography01:09

Ion-Exchange Chromatography

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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Chromatography: Introduction

Chromatography is a technique used to separate compounds based on differences of partitioning between two phases, the stationary phase and the mobile phase.
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Gas Chromatography: Types of Detectors-I

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Automated Hydrophobic Interaction Chromatography Column Selection for Use in Protein Purification
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Modelling counter-current chromatography using a temperature dependence plate model.

Yun Wei1, Fengkang Wang, Shui Wang

  • 1State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, 15 Beisanhuan East Road, Chaoyang District, Beijing 100029, China. weiyun@mail.buct.edu.cn

Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences
|July 17, 2013
PubMed
Summary
This summary is machine-generated.

A new temperature dependence plate model for counter-current chromatography (CCC) significantly reduces retention time errors. This model improves separation predictions by accounting for temperature effects on partition coefficients, aiding in resolving similar compounds.

Keywords:
Counter-current chromatographyK valuesModellingPartition coefficientTemperature dependence

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Area of Science:

  • Chromatography
  • Chemical Engineering
  • Physical Chemistry

Background:

  • Counter-current chromatography (CCC) utilizes various mathematical models.
  • Existing models do not fully account for temperature's impact on separation.
  • Accurate modeling is crucial for optimizing chromatographic separations.

Purpose of the Study:

  • To develop a novel temperature-dependent plate model for CCC.
  • To improve the accuracy of retention time and resolution predictions.
  • To provide a method for optimizing separation by temperature control.

Main Methods:

  • Integration of the Van't Hoff equation (logK=A-B/T) into a plate theory model.
  • Calculation of partition coefficient (K) values at varying temperatures.
  • Development of a new CCC modeling program incorporating a temperature parameter.

Main Results:

  • The temperature dependence plate model significantly reduced errors in retention time prediction.
  • Calculated K values decreased with increasing temperature, aligning with experimental observations.
  • The model successfully predicted experimental results with diminished error.

Conclusions:

  • Temperature is a critical factor influencing CCC separation efficiency.
  • The developed model accurately predicts the effect of temperature on partition coefficients and resolution.
  • This model offers a valuable tool for optimizing CCC separations, especially for compounds with similar partition coefficients.