Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

High-Performance Liquid Chromatography: Elution Process01:05

High-Performance Liquid Chromatography: Elution Process

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...
Principles Of Column Chromatography01:13

Principles Of Column Chromatography

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...
Types Of Column Chromatography01:29

Types Of Column Chromatography

The stability and compatibility of column material with samples are crucial for efficient purification in chromatographic techniques. Various operating parameters such as pH, temperature, or solvent affect the packing of the column material, thereby determining the purification efficiency. The choice of column material also plays an essential role in deciding the operating parameters and can be modified based on the proteins that need to be purified.
Gel Filtration Chromatography
When the...
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...
Supercritical Fluid Chromatography01:18

Supercritical Fluid Chromatography

Supercritical fluid chromatography (SFC) provides a beneficial substitute for gas chromatography (GC) and liquid chromatography (LC) for certain samples because it merges the top attributes of both techniques. SFC allows the separation and analysis of compounds that GC or LC does not easily manage. These compounds are traditionally nonvolatile or thermally unstable, making GC unsuitable and lacking functional groups required for HPLC analysis.
SFC utilizes a supercritical fluid mobile phase,...
Size-Exclusion Chromatography01:08

Size-Exclusion Chromatography

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,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

From plasmid sequence to process design: A computational analysis of metabolism in the context of plasmid DNA manufacturing.

Journal of biotechnology·2026
Same author

On the Prediction of pDNA Productivity Across Diverse Bioprocesses Using Ensemble Hybrid Models.

Biotechnology and bioengineering·2026
Same author

High-density perfusion cultures of the marine bacterium Rhodovulum sulfidophilum for the biomanufacturing of oligonucleotides.

Journal of biotechnology·2024
Same author

UV-based dynamic control improves the robustness of multicolumn countercurrent solvent gradient purification of oligonucleotides.

Biotechnology journal·2024
Same author

Soft sensor based on Raman spectroscopy for the in-line monitoring of metabolites and polymer quality in the biomanufacturing of polyhydroxyalkanoates.

Journal of biotechnology·2023
Same author

Performance of a new family of modular, bed-supported, chromatography devices.

Biotechnology and bioengineering·2023

Related Experiment Video

Updated: Jul 14, 2026

An Economical and Versatile High-Throughput Protein Purification System Using a Multi-Column Plate Adapter
10:08

An Economical and Versatile High-Throughput Protein Purification System Using a Multi-Column Plate Adapter

Published on: May 21, 2021

Parametric study of a 6-column countercurrent solvent gradient purification (MCSGP) unit.

Lars Aumann1, Guido Stroehlein, Massimo Morbidelli

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

Biotechnology and Bioengineering
|June 28, 2007
PubMed
Summary

The novel multicolumn countercurrent solvent gradient purification (MCSGP) process offers higher yields for purified polypeptides compared to traditional methods. This simulation study clarifies its complex operating principles for improved industrial applications.

More Related Videos

Automated Hydrophobic Interaction Chromatography Column Selection for Use in Protein Purification
10:21

Automated Hydrophobic Interaction Chromatography Column Selection for Use in Protein Purification

Published on: September 21, 2011

Affinity Purification of a 6X-His-Tagged Protein using a Fast Protein Liquid Chromatography System
07:19

Affinity Purification of a 6X-His-Tagged Protein using a Fast Protein Liquid Chromatography System

Published on: April 26, 2024

Related Experiment Videos

Last Updated: Jul 14, 2026

An Economical and Versatile High-Throughput Protein Purification System Using a Multi-Column Plate Adapter
10:08

An Economical and Versatile High-Throughput Protein Purification System Using a Multi-Column Plate Adapter

Published on: May 21, 2021

Automated Hydrophobic Interaction Chromatography Column Selection for Use in Protein Purification
10:21

Automated Hydrophobic Interaction Chromatography Column Selection for Use in Protein Purification

Published on: September 21, 2011

Affinity Purification of a 6X-His-Tagged Protein using a Fast Protein Liquid Chromatography System
07:19

Affinity Purification of a 6X-His-Tagged Protein using a Fast Protein Liquid Chromatography System

Published on: April 26, 2024

Area of Science:

  • Chemical Engineering
  • Biotechnology
  • Separation Science

Background:

  • Industrial polypeptide purification presents challenges due to complex mixtures and non-linear adsorption.
  • Accurate modeling is crucial for understanding and optimizing advanced separation techniques.

Purpose of the Study:

  • To model and analyze the multicolumn countercurrent solvent gradient purification (MCSGP) process.
  • To elucidate the operating principles and identify key parameters for polypeptide purification.
  • To compare the performance of MCSGP with single-column batch processes.

Main Methods:

  • Development of a simulation model for the MCSGP process.
  • Application of the model to a calcitonin-containing polypeptide mixture with lumped impurities.
  • Systematic parametric analysis of operating parameters.
  • Investigation of internal concentration profiles in liquid and adsorbed phases.

Main Results:

  • The MCSGP model provides insights into the complex behavior of multicolumn systems.
  • Key operating parameters influencing purity and yield were identified.
  • Internal concentration profiles helped elucidate the working principle of MCSGP.
  • MCSGP demonstrated significantly higher yields for a given product purity compared to batch methods.

Conclusions:

  • The MCSGP process is a highly effective method for purifying complex polypeptide mixtures.
  • Modeling provides a powerful tool for understanding and optimizing MCSGP performance.
  • MCSGP offers a significant advantage in yield over conventional single-column batch purification.