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Related Concept Videos

Chromatographic Methods: Terminology01:18

Chromatographic Methods: Terminology

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,...
Chromatographic Resolution01:15

Chromatographic Resolution

In chromatography, a solute moves through a chromatographic column and tends to spread, forming a Gaussian-shaped band. The longer the solute spends in the column, the broader the band becomes. The broadening can lead to overlaps within the column, affecting separation effectiveness.
The effectiveness of separation can be evaluated by determining the level of separation between two neighboring peaks in a chromatogram, which represents the individual components of a sample.
In chromatography,...
Gas Chromatography: Introduction01:13

Gas Chromatography: Introduction

Gas chromatography (GC) is a technique for separating and analyzing volatile compounds in a sample. Its primary purpose is to identify and quantify components in complex mixtures, making it essential in fields such as environmental analysis, pharmaceuticals, and petrochemicals. GC is also called vapor-phase chromatography (VPC) or gas-liquid partition chromatography (GLPC).
In GC,  a sample is vaporized and mixed with an inert carrier gas (the mobile phase), which transports it through a column.
Chromatographic Methods: Classification01:12

Chromatographic Methods: Classification

Chromatographic techniques are classified in three ways: the classification is based on the physical state of the stationary and mobile phases, how the mobile phase and the stationary phase contact each other, or through the chemical or physical processes that isolate the components of the sample. Typically, the mobile phase is either a liquid or gas, while the stationary phase is either a solid or a liquid layer applied to a solid surface.
Chromatographic techniques are typically named by...
Optimizing Chromatographic Separations01:15

Optimizing Chromatographic Separations

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...
Gas Chromatography–Mass Spectrometry (GC–MS)01:14

Gas Chromatography–Mass Spectrometry (GC–MS)

Gas chromatography–mass spectrometry (GC–MS) is the combination of analytical techniques of gas chromatography and mass spectrometry in a single instrument for analyzing a mixture of compounds. The gas chromatograph separates the compounds in the mixture, and the mass spectrometer analyzes each compound separately to determine the molecular masses and molecular structures.
A gas chromatograph consists of a long, narrow capillary column with a polysiloxane coating on the inner wall. The coating...

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Updated: May 29, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

A discontinuous Galerkin method to solve chromatographic models.

Shumaila Javeed1, Shamsul Qamar, Andreas Seidel-Morgenstern

  • 1Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany.

Journal of Chromatography. A
|September 6, 2011
PubMed
Summary

A new discontinuous Galerkin method accurately simulates chromatographic processes. This numerical approach effectively captures sharp peaks and discontinuities in elution profiles, offering superior resolution for complex simulations.

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Last Updated: May 29, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
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Published on: September 2, 2020

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Area of Science:

  • Numerical Analysis
  • Chemical Engineering
  • Computational Chemistry

Background:

  • Chromatographic processes involve complex convection-diffusion-reaction partial differential equations.
  • Accurate simulation of sharp discontinuities and narrow peaks in elution profiles is crucial for chromatographic modeling.
  • Existing high-order finite volume schemes can face challenges with mesh stencil expansion and boundary accuracy.

Purpose of the Study:

  • To propose and evaluate a discontinuous Galerkin method for isothermal non-reactive and reactive chromatography.
  • To demonstrate the method's capability in handling convection-dominated partial differential equations.
  • To assess the accuracy, robustness, and efficiency of the proposed numerical scheme.

Main Methods:

  • Implementation of a discontinuous Galerkin (DG) method for solving chromatography model equations.
  • Incorporation of additional nodes within solution elements to enhance accuracy without increasing mesh complexity.
  • Application of the DG method to boundary cells without loss of accuracy.

Main Results:

  • The DG method successfully captures sharp discontinuities and narrow peaks in elution profiles.
  • The proposed method achieves high accuracy, comparable to or exceeding high-resolution finite volume schemes.
  • Numerical results validate the efficiency and robustness of the DG method for large-scale, time-dependent simulations.

Conclusions:

  • The discontinuous Galerkin method provides a robust and accurate numerical solution for isothermal chromatographic processes.
  • The DG method offers improved resolution and accuracy, particularly for challenging elution profiles.
  • This approach is well-suited for demanding, large-scale time-dependent simulations in chromatography.