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

Chromatographic Methods: Classification01:12

Chromatographic Methods: Classification

2.4K
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...
2.4K
Chromatography: Introduction01:10

Chromatography: Introduction

4.5K
Chromatography is a technique used to separate compounds based on differences of partitioning between two phases, the stationary phase and the mobile phase.
The phase in which the compounds linger or on which the compounds adsorb is called the stationary phase, whereas the mobile phase is the solvent that carries the solutes to be analyzed. In traditional column chromatography, the mixture flows through the stationary phase, and the compounds partition between the stationary and mobile phases...
4.5K
Chromatographic Methods: Terminology01:18

Chromatographic Methods: Terminology

2.3K
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,...
2.3K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

73
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
73
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

131
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
131
Column Efficiency: Rate Theory01:12

Column Efficiency: Rate Theory

399
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.
During elution, a solute molecule experiences numerous transitions between stationary and mobile phases, exhibiting irregular residence times in...
399

You might also read

Related Articles

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

Sort by
Same author

<b>A checklist of parasites of freshwater fish of the British Isles-Kennedy revisited, reviewed and reassessed</b>.

Zootaxa·2026
Same author

Infectivity of an emerging fish parasite <i>Gyrodactylus sprostonae</i> in juvenile carp (<i>Cyprinus carpio</i>).

Aquaculture, fish and fisheries : open access·2026
Same author

Corrigendum to "In-line spectroscopic measurement of pH profiles using methyl orange: Application to pH transients in protein A chromatography" [Journal of Chromatography A 1782 (2026) 467106].

Journal of chromatography. A·2026
Same author

On <i>p</i>-adic <i>L</i>-functions for symplectic representations of <math><mrow><mtext>GL</mtext> <mo>(</mo> <mi>N</mi> <mo>)</mo></mrow></math> over number fields.

Research in the mathematical sciences·2026
Same author

In-line spectroscopic measurement of pH profiles using methyl orange: Application to pH transients in protein A chromatography.

Journal of chromatography. A·2026
Same author

Role of viral protein ratio in the structure and separation of empty and full adeno-associated virus capsids: A molecular dynamics study.

Molecular therapy. Advances·2026

Related Experiment Video

Updated: Aug 9, 2025

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
08:40

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

4.4K

Isotherm model discrimination for multimodal chromatography using mechanistic models derived from high-throughput

Scott H Altern1, John P Welsh2, Jessica Y Lyall3

  • 1Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.

Journal of Chromatography. A
|February 24, 2023
PubMed
Summary

The extended steric mass action isotherm accurately predicts multimodal chromatography behavior for both cation and anion exchange resins. This model offers high accuracy with fewer parameters, simplifying complex chromatographic predictions.

Keywords:
Adsorption isothermHigh-throughput experimentationMechanistic modelingModel selectionMultimodal chromatography

More Related Videos

Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms
10:04

Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms

Published on: April 7, 2011

12.8K
Thermochemical Studies of NiII and ZnII Ternary Complexes Using Ion Mobility-Mass Spectrometry
16:11

Thermochemical Studies of NiII and ZnII Ternary Complexes Using Ion Mobility-Mass Spectrometry

Published on: June 8, 2022

2.4K

Related Experiment Videos

Last Updated: Aug 9, 2025

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
08:40

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

4.4K
Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms
10:04

Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms

Published on: April 7, 2011

12.8K
Thermochemical Studies of NiII and ZnII Ternary Complexes Using Ion Mobility-Mass Spectrometry
16:11

Thermochemical Studies of NiII and ZnII Ternary Complexes Using Ion Mobility-Mass Spectrometry

Published on: June 8, 2022

2.4K

Area of Science:

  • Chromatography
  • Bioseparation
  • Chemical Engineering

Background:

  • Multimodal chromatography is crucial for bioseparations, but accurate predictive modeling remains challenging.
  • Isotherm formalisms are essential for describing the equilibrium binding of molecules to chromatography resins.
  • Understanding and predicting elution behavior under various conditions is key for process optimization.

Purpose of the Study:

  • To evaluate and compare the predictive capabilities of various isotherm models for multimodal chromatography.
  • To characterize isotherm models based on their complexity and accuracy in predicting resin behavior.
  • To identify the most suitable isotherm formalism for predicting the performance of multimodal cation and anion exchange resins.

Main Methods:

  • Examined multiple isotherm models based on the stoichiometric displacement framework.
  • Determined isotherm parameters by fitting to mAb - Capto MMC and mAb - Capto Adhere batch data.
  • Assessed predictive ability using salt gradient elution and gradient slope behavior.
  • Quantified model performance using peak characteristics agreement and fit accuracy scores.
  • Utilized Akaike Information Criterion (AIC) to evaluate model complexity.

Main Results:

  • The extended steric mass action (SMA) isotherm demonstrated superior predictive performance for both Capto MMC and Capto Adhere resins.
  • This model accurately captured pH-dependent elution for Capto MMC and yield losses for Capto Adhere.
  • Model performance for Capto MMC improved with exclusion of low protein concentration data, unlike Capto Adhere.
  • The extended SMA isotherm achieved high accuracy with a minimal parameter set, outperforming more complex models.
  • Protein-salt activity coefficient was critical for predicting Capto Adhere behavior, influencing binding and elution.

Conclusions:

  • The extended SMA isotherm is the most effective formalism for accurately predicting the behavior of both multimodal cation and anion exchange resins.
  • This model provides a balance of high predictive accuracy and reduced complexity, simplifying chromatographic process development.
  • The study identified key isotherm parameters and their influence on binding and elution, enhancing understanding of multimodal chromatography interactions.