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

Optimizing Chromatographic Separations01:15

Optimizing Chromatographic Separations

1.0K
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...
1.0K
Capillary Beds01:20

Capillary Beds

7.3K
Capillary beds are networks of tiny blood vessels that play a crucial role in the circulatory system. These beds are where the exchange of gases, nutrients, and waste products occurs between the blood and surrounding tissues. Each capillary bed consists of numerous capillaries, which are the smallest blood vessels in the body, typically only one cell-thick. This thinness allows for the efficient diffusion of substances.
Capillaries connect arterioles, small branches of arteries, to venules,...
7.3K
Chromatographic Resolution01:15

Chromatographic Resolution

2.2K
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,...
2.2K
Chromatographic Methods: Terminology01:18

Chromatographic Methods: Terminology

4.0K
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,...
4.0K
Chromatographic Methods: Classification01:12

Chromatographic Methods: Classification

4.0K
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...
4.0K
Molecular Shapes01:18

Molecular Shapes

62.5K
Molecules have characteristic shapes that are crucial for their function. The arrangement of various electron groups around the central atom dictates their molecular geometry. Electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between the electron pairs by maximizing the distance between them. The valence electrons form either bonding pairs, located primarily between bonded atoms, or lone pairs.
Two regions of electron density in a diatomic...
62.5K

You might also read

Related Articles

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

Sort by
Same author

Computational and Experimental Evaluation of the Stability of a GLP-1-like Peptide in Ethanol-Water Mixtures.

Pharmaceutics·2022
Same author

Discovering Novel Small Molecule Compound for Prevention of Monoclonal Antibody Self-Association.

Antibodies (Basel, Switzerland)·2022
Same author

Hybrid optimization of preparative chromatography for a ternary monoclonal antibody mixture.

Biotechnology progress·2019
Same author

Stability of two competing populations in chemostat where one of the population changes its average mass of division in response to changes of its population.

PloS one·2019
Same author

Data-driven multi-objective optimization via grid compatible simplex technique and desirability approach for challenging high throughput chromatography applications.

Biotechnology progress·2018
Same author

Derivation of Continuum Models from An Agent-based Cancer Model: Optimization and Sensitivity Analysis.

Current pharmaceutical biotechnology·2018

Related Experiment Video

Updated: Feb 12, 2026

Modulating Shape of Polyester Based Polymersomes using Osmotic Pressure
06:01

Modulating Shape of Polyester Based Polymersomes using Osmotic Pressure

Published on: April 21, 2021

3.6K

Modulator Dynamics Shape the Design Space for Stepwise-Elution Simulated Moving Bed Chromatographic Separations.

Chris J Wayne1, Ajoy Velayudhan1

  • 1Department of Biochemical Engineering, University College London, London, UK.

Biotechnology Journal
|April 1, 2018
PubMed
Summary

This study quantifies mobile-phase modulator dynamics in non-isocratic Simulated Moving Bed (SMB) chromatography. New dimensionless numbers redefine the SMB design space for more efficient separations of biological macromolecules.

Keywords:
design spacegradient SMBmodulator perturbationrobust designsimulated moving bedstepwise-elution SMBtriangle theory

More Related Videos

Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

15.7K
Optimization of In vitro Transcription Reaction for mRNA Production Using Chromatographic At-Line Monitoring
07:04

Optimization of In vitro Transcription Reaction for mRNA Production Using Chromatographic At-Line Monitoring

Published on: April 4, 2025

2.1K

Related Experiment Videos

Last Updated: Feb 12, 2026

Modulating Shape of Polyester Based Polymersomes using Osmotic Pressure
06:01

Modulating Shape of Polyester Based Polymersomes using Osmotic Pressure

Published on: April 21, 2021

3.6K
Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

15.7K
Optimization of In vitro Transcription Reaction for mRNA Production Using Chromatographic At-Line Monitoring
07:04

Optimization of In vitro Transcription Reaction for mRNA Production Using Chromatographic At-Line Monitoring

Published on: April 4, 2025

2.1K

Area of Science:

  • Biochemical Engineering
  • Separation Science
  • Chromatography

Background:

  • Simulated Moving Bed (SMB) chromatography is crucial for separating biological macromolecules.
  • Non-isocratic operation enhances SMB efficiency but introduces complex mobile-phase modulator dynamics.
  • Quantitative understanding of these dynamics is lacking, limiting optimization of the SMB design space.

Purpose of the Study:

  • To quantitatively explain how mobile-phase modulator dynamics impact non-isocratic SMB separation success.
  • To introduce new design constraints for predicting and optimizing non-isocratic SMB operations.
  • To redefine the SMB design space based on these new constraints.

Main Methods:

  • Explicitly accounting for modulator dynamics (e.g., salts in ion exchange/hydrophobic interaction chromatography).
  • Developing two new dimensionless numbers to quantify modulator effects.
  • Utilizing computational and experimental studies to validate predictions.

Main Results:

  • Elucidation of two novel design constraints presented as dimensionless numbers.
  • Quantification of modulator phenomena's effect on non-isocratic SMB separation success.
  • Redefinition of the SMB design space, enabling more efficient and robust operating conditions.

Conclusions:

  • The new design constraints provide a quantitative framework for understanding non-isocratic SMB chromatography.
  • The redefined SMB design space facilitates the development of optimized separation protocols.
  • This work enables more efficient and robust purification of proteins and biological macromolecules using SMB chromatography.