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

517
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...
517
Chromatography: Introduction01:10

Chromatography: Introduction

4.7K
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...
4.7K
High-Performance Liquid Chromatography: Elution Process01:05

High-Performance Liquid Chromatography: Elution Process

720
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...
720
High-Performance Liquid Chromatography: Introduction01:11

High-Performance Liquid Chromatography: Introduction

2.4K
High-performance liquid chromatography(HPLC), formerly referred to as High-pressure liquid chromatography, is a powerful technique used to separate, identify, and quantify components in complex mixtures. The term "high pressure" refers to using high pressure to push the liquid mobile phase through the tightly packed columns.
In HPLC, two phases play a critical role in the separation process:
2.4K
Chromatographic Methods: Classification01:12

Chromatographic Methods: Classification

2.5K
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...
2.5K
High-Performance Liquid Chromatography: Instrumentation00:57

High-Performance Liquid Chromatography: Instrumentation

2.1K
High-performance liquid chromatography, or HPLC, is an analytical technique that separates liquid samples under high pressures. An HPLC instrument consists of glass bottles for storing solvents called mobile phase reservoirs. HPLC-grade solvents are used to maintain high purity, and the dissolved gases are removed using a degasser, such as a vacuum pumping system or sparging with helium. The solvents are then pumped into the analytical column using a screw-driven syringe or reciprocating pumps.
2.1K

You might also read

Related Articles

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

Sort by
Same author

Gestational age amplifies the risk of airflow obstruction in adult smokers with asthma.

ERJ open research·2026
Same author

Long-term exposure to particulate matter from road traffic and residential heating and mortality: a multi-cohort study in Sweden.

Scientific reports·2026
Same author

Breast-feeding is inversely associated with asthma and IgE sensitization up to young adulthood.

The Journal of allergy and clinical immunology·2026
Same author

Early-Life Secondhand Smoke Exposure and Development of Atopic Dermatitis up to Adulthood.

Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology·2025
Same author

Automatic generation of a digital twin for continuous antibody capture.

Journal of chromatography. A·2025
Same author

Extremely-to-very preterm birth and being small for gestational age increase the risk of severe airflow obstruction in patients with asthma.

Respiratory medicine·2025

Related Experiment Video

Updated: Sep 24, 2025

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

44.0K

Binary separation control in preparative gradient chromatography using iterative learning control.

Daniel Espinoza1, Niklas Andersson1, Bernt Nilsson1

  • 1Department of Chemical Engineering, Lund University, Lund, Sweden.

Journal of Chromatography. A
|May 5, 2022
PubMed
Summary
This summary is machine-generated.

A new iterative learning control (ILC) strategy effectively manages biopharmaceutical purification processes. This advanced control system maintains consistent separation of target compounds from impurities in ion exchange chromatography.

Keywords:
Feed-forward controlIon-exchangeIterative learning controlModel-based controlPreparative chromatographySeparation control

More Related Videos

Liquid Chromatography Coupled to Refractive Index or Mass Spectrometric Detection for Metabolite Profiling in Lysate-based Cell-free Systems
14:42

Liquid Chromatography Coupled to Refractive Index or Mass Spectrometric Detection for Metabolite Profiling in Lysate-based Cell-free Systems

Published on: September 23, 2021

5.1K
Separating Bacteria by Capsule Amount Using a Discontinuous Density Gradient
05:52

Separating Bacteria by Capsule Amount Using a Discontinuous Density Gradient

Published on: January 7, 2019

14.4K

Related Experiment Videos

Last Updated: Sep 24, 2025

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

44.0K
Liquid Chromatography Coupled to Refractive Index or Mass Spectrometric Detection for Metabolite Profiling in Lysate-based Cell-free Systems
14:42

Liquid Chromatography Coupled to Refractive Index or Mass Spectrometric Detection for Metabolite Profiling in Lysate-based Cell-free Systems

Published on: September 23, 2021

5.1K
Separating Bacteria by Capsule Amount Using a Discontinuous Density Gradient
05:52

Separating Bacteria by Capsule Amount Using a Discontinuous Density Gradient

Published on: January 7, 2019

14.4K

Area of Science:

  • Biopharmaceutical Manufacturing
  • Chemical Engineering
  • Process Control

Background:

  • Continuous and integrated purification processes are increasingly used in biopharmaceutical manufacturing.
  • Effective monitoring and control are crucial for separating target pharmaceuticals from impurities.
  • Maintaining consistent separation performance requires precise control of chromatographic parameters.

Purpose of the Study:

  • To develop a cycle-to-cycle control strategy for retention volumes in ion exchange chromatography.
  • To implement a model-based, multivariate iterative learning control (ILC) algorithm for enhanced separation control.
  • To demonstrate the controller's ability to maintain desired retention volumes despite process disturbances.

Main Methods:

  • Utilized a model-based, multivariate iterative learning control (ILC) algorithm.
  • Employed a quadratic-criterion objective function for optimal set point control.
  • Incorporated feed-forward control based on direct model inversion for preemptive set point adjustments.
  • Calibrated the control model using a minimal number of experiments (3) for rapid implementation.

Main Results:

  • The ILC controller successfully maintained desired retention volumes in ion exchange separations.
  • The controller demonstrated efficacy in correcting disturbances within a maximum of 3 cycles.
  • Disturbances included changes in elution buffer salt concentration, set point, and pH.

Conclusions:

  • The developed ILC strategy provides robust control for biopharmaceutical purification processes.
  • This successful application of ILC opens avenues for advanced control strategies in biopharmaceutical separation.
  • ILC can be integrated with other control methods to further optimize purification processes.