Jove
Visualize
Contact Us

Related Experiment Videos

Automated microgradient system for capillary electrochromatography.

Vladislav Kahle1, Miroslava Vázlerová, Thomas Welsch

  • 1Institute of Analytical Chemistry, Academy of Sciences of the Czech Republic, Veveri 97, 61142 Brno, Czech Republic. kahle@iach.cz

Journal of Chromatography. A
|April 11, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

An improved design of the fused silica capillary flow cell for absorbance detection in microcolumn liquid chromatography.

Analytica chimica acta·2022
Same author

Compact optical detector utilizing light emitting diodes, 50 nL L-shaped silica capillary cell and CCD spectrometer for simultaneous multi-wavelength monitoring of absorbance and fluorescence in microcolumn liquid chromatography.

Analytica chimica acta·2020
Same author

Nanolitre-scale cell based on L-shaped silica capillary and optical fibre for absorption photometric detection in capillary liquid chromatography.

Analytica chimica acta·2019
Same author

Capillary electrophoresis in a fused-silica capillary with surface roughness gradient.

Journal of separation science·2016
Same author

Instrument platforms for nano liquid chromatography.

Journal of chromatography. A·2015
Same author

A portable device for fast analysis of explosives in the environment.

Journal of chromatography. A·2015
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

A new microprocessor-controlled system enables gradient elution for capillary electrochromatography (CEC). This automated system achieves high reproducibility in separations, showcasing its accuracy for complex analyses.

Area of Science:

  • Analytical Chemistry
  • Separation Science
  • Chromatography

Background:

  • Capillary electrochromatography (CEC) requires precise control over mobile phase composition for optimal separations.
  • Existing gradient elution systems may lack the necessary precision or automation for advanced CEC applications.
  • A previously developed liquid handling device offers controllable fluid dispersion for chromatographic techniques.

Purpose of the Study:

  • To develop and validate a microprocessor-controlled gradient elution system specifically for capillary electrochromatography.
  • To assess the system's capability for generating continuous mobile phase gradients.
  • To evaluate the reproducibility and accuracy of gradient operations in CEC separations.

Main Methods:

  • A microprocessor-controlled liquid handling device was adapted for gradient generation in CEC.

Related Experiment Videos

  • The system utilizes distinct regions for low dispersion sample injection (stainless steel needle) and high dispersion gradient formation (tube diameter extension).
  • Separation of a homologous series of seven alkylphenones was performed on a monolithic polyacrylic column using an S-shaped acetonitrile gradient (30-70%).
  • Main Results:

    • The developed system successfully generated continuous mobile phase gradients for CEC.
    • High reproducibility of retention times was achieved, with a relative standard deviation (RSD) of approximately 0.1%.
    • The system demonstrated accurate control over automated gradient operations.

    Conclusions:

    • The microprocessor-controlled gradient elution system is suitable and effective for capillary electrochromatography.
    • The system's design ensures high accuracy and reproducibility in gradient formation and sample separation.
    • This advancement offers a robust tool for complex gradient-based analyses in CEC.