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Related Concept Videos

Chromatographic Methods: Terminology01:18

Chromatographic Methods: Terminology

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Chromatography is an analytical technique widely used in fields such as chemistry, biology, environmental science, and pharmaceuticals to separate the components of a mixture and identify substances between them. The process of chromatography is based on the interactions between two distinct phases: the stationary phase and the mobile phase. The stationary phase is fixed in place by a supporting material, while the mobile phase moves over it, carrying the solutes. As the mobile phase travels,...
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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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Multicompartment Models: Overview01:14

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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
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Chromatography: Introduction01:10

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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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Column Efficiency: Rate Theory01:12

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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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Diffusion on Chromatography Columns01:07

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In column chromatography, when an analyte is introduced as a narrow band at the top of the column, the solutes begin to separate and broaden, developing a Gaussian profile. This broadening occurs due to various factors, such as longitudinal diffusion.
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Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
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A continuum theory for multicomponent chromatography modeling.

David Pfister1, Massimo Morbidelli1, Roger-Marc Nicoud2

  • 1Institute of Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, 8093 Zurich, Switzerland.

Journal of Chromatography. A
|April 16, 2016
PubMed
Summary
This summary is machine-generated.

A new continuum theory simplifies modeling complex chromatography systems. This approach efficiently handles numerous similar compounds, improving computational effectiveness for multicomponent analysis.

Keywords:
Chromatography modelingComplex mixturesContinuous approachLinear chromatography

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Area of Science:

  • Analytical Chemistry
  • Chemical Engineering
  • Physical Chemistry

Background:

  • Chromatographic systems often involve complex mixtures with numerous components.
  • Individual characterization of each solute in such systems is frequently challenging or impossible.
  • Existing models may struggle with computational efficiency when dealing with high-component-number mixtures.

Purpose of the Study:

  • To propose a novel continuum theory for modeling multicomponent chromatographic systems.
  • To develop a more computationally efficient approach for analyzing complex mixtures.
  • To reduce the number of model parameters required for simulation.

Main Methods:

  • Development of a continuum model to represent complex mixtures.
  • Application of the model to linear chromatographic conditions.
  • Mathematical formulation to describe distributions of solutes.

Main Results:

  • The continuum theory provides an efficient method for modeling systems with many similar components.
  • Individual analytical characterization of numerous close-eluting solutes is circumvented.
  • The number of required model parameters is significantly reduced.
  • Computational effectiveness for large multicomponent systems is dramatically improved.

Conclusions:

  • The proposed continuum theory offers a powerful and efficient tool for the simulation of complex multicomponent chromatographic systems.
  • This approach is particularly advantageous when dealing with mixtures of similar components that are difficult to individually resolve.
  • The method enhances the computational performance of chromatographic modeling, enabling broader applications.